Literature DB >> 26563154

Genetic contribution of SCARB1 variants to lipid traits in African Blacks: a candidate gene association study.

Vipavee Niemsiri1, Xingbin Wang2, Dilek Pirim3, Zaheda H Radwan4, Clareann H Bunker5, M Michael Barmada6, M Ilyas Kamboh7, F Yesim Demirci8.   

Abstract

BACKGROUND: High-density lipoprotein cholesterol (HDL-C) exerts many anti-atherogenic properties including its role in reverse cholesterol transport (RCT). Scavenger receptor class B member 1 (SCARB1) plays a key role in RCT by selective uptake of HDL cholesteryl esters. We aimed to explore the genetic contribution of SCARB1 to affecting lipid levels in African Blacks from Nigeria.
METHODS: We resequenced 13 exons and exon-intron boundaries of SCARB1 in 95 individuals with extreme HDL-C levels using Sanger method. Then, we genotyped 147 selected variants (78 sequence variants, 69 HapMap tagSNPs, and 2 previously reported relevant variants) in the entire sample of 788 African Blacks using either the iPLEX Gold or TaqMan methods. A total of 137 successfully genotyped variants were further evaluated for association with major lipid traits.
RESULTS: The initial gene-based analysis demonstrated evidence of association with HDL-C and apolipoprotein A-I (ApoA-I). The follow-up single-site analysis revealed nominal evidence of novel associations of nine common variants with HDL-C and/or ApoA-I (P < 0.05). The strongest association was between rs11057851 and HDL-C (P = 0.0043), which remained significant after controlling for multiple testing using false discovery rate. Rare variant association testing revealed a group of 23 rare variants (frequencies ≤ 1%) associated with HDL-C (P = 0.0478). Haplotype analysis identified four SCARB1 regions associated with HDL-C (global P < 0.05).
CONCLUSIONS: To our knowledge, this is the first report of a comprehensive association study of SCARB1 variations with lipid traits in an African Black population. Our results showed the consistent association of SCARB1 variants with HDL-C across various association analyses, supporting the role of SCARB1 in lipoprotein-lipid regulatory mechanism.

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Year:  2015        PMID: 26563154      PMCID: PMC4643515          DOI: 10.1186/s12881-015-0250-6

Source DB:  PubMed          Journal:  BMC Med Genet        ISSN: 1471-2350            Impact factor:   2.103


Background

Abnormal lipid and lipoprotein levels are a major risk factor for coronary heart disease (CHD) [1], the leading cause of death worldwide [2]. Elevated low-density lipoprotein cholesterol (LDL-C) levels and decreased high-density lipoprotein cholesterol (HDL-C) levels are correlated with the development of CHD. There is a strong genetic basis for lipoprotein-lipid levels with heritability estimates of 40–80 % [3]. A large number of genes and genetic variants associated with lipid traits have been discovered in genome-wide association studies (GWAS) [4-6]. Most of the common variants (minor allele frequency [MAF] ≥5 %) identified by GWAS have modest effects on lipid levels, and have overall a small contribution to total genetic variance of lipid traits (~25–30 % of the heritability) [4-8]. A portion of the missing heritability of lipid traits could be explained by low frequency (LoF)/rare variants (MAF <5 %) as suggested by recent studies [9-11]. HDL, the smallest and densest (d = 1.063–1.21 g/mL) class of lipoprotein particles, has a variety of antiatherogenic properties [12]. One of the HDL properties to protect against CHD is mediated by reverse cholesterol transport (RCT) from peripheral tissues back to the liver [13]. Scavenger receptor class B member 1 (SCARB1, protein; SCARB1, gene) serves as a HDL-C receptor in RCT that mediates selective uptake of HDL-C cholesteryl esters (CE) by the liver and free cholesterol efflux from cells to HDL-C [14]. SCARB1 is also implicated in the metabolism of apolipoprotein B (ApoB)-containing particles [15-21]. The SCARB1 gene (Entrez Gene ID: 949) is located on human chromosome 12, and is abundantly expressed in liver and steroidogenic tissues [22, 23]. The role of SCARB1 in HDL-C and ApoB-containing lipoproteins metabolism has been established in animal studies. The disruption of SCARB1 is associated with increased HDL-C levels and decreased CE uptake [24-26]. Whereas the overexpression of SCARB1 reduces levels of HDL-C, ApoA-I, very low-density lipoprotein cholesterol (VLDL-C), LDL-C, and ApoB [15–17, 19] and promotes the hepatic uptake of CE as well as the biliary secretion of HDL-C [15, 27]. The SCARB1 expression is also significantly associated with hepatic VLDL-triglycerides (TG) and VLDL-ApoB production. Hepatic VLDL cholesterol production together with VLDL clearance is enhanced in response to SCARB1 overexpression [21]. In contrast, reduced hepatic VLDL-TG and VLDL-ApoB production is associated with SCARB1 knockout status [18, 20, 21]. In humans, three SCARB1 mutations (rs397514572 [p.Ser112Phe], rs187831231 [p.Thr175Ala], and rs387906791 [p.Pro297Ser]; MIM: 601040) have been reported to be associated with significantly increased HDL-C levels [28, 29]. Moreover, several genetic studies have demonstrated the association of common SCARB1 variation with lipoprotein-lipid levels [5, 28–39] and subclinical atherosclerosis [40]. To our knowledge, no genetic study has exclusively investigated the association between SCARB1 and lipid traits in native African populations to date. The objective of this study was to resequence all 13 exons and exon-intron boundaries of SCARB1 in 95 African Blacks from Nigeria with extreme HDL-C levels for variant discovery and then to genotype selected variants in the entire sample of 788 African Blacks, followed by genotype-phenotype association analyses with five major lipid and apolipoprotein (Apo) traits (HDL-C, LDL-C, TG, ApoA-I and ApoB). Because our initial gene-based analysis demonstrated evidence of association with HDL-C and ApoA-I, our subsequent analyses focused on these two traits.

Methods

Study population

The present study was carried out on 788 African Black subjects from Benin City, Nigeria, who were recruited as part of a population-based epidemiological study on CHD risk factors. Detailed information on the study design and population description is provided elsewhere [41]. In brief, 788 recruited subjects were healthy civil servants (37.18 % females) from three government ministries of the Edo state in Benin City, Nigeria, aged between 19 and 70 years, including 464 junior staff (non-professional staff with salary grades 1–6), and 324 senior staff (professional and administrative staff with salary grades 7–16). The summary features, including biometric and quantitative data of the entire sample of 788 subjects are given in Table 1 and Additional file 1: Table S1.
Table 1

Characteristics and lipid profile of 95 individuals with extremea HDL-C levels and of the entire sample of 788 African Blacks

95 Individuals with Extremea HDL-C LevelsThe Entire Sampleb
VariablesHigh HDL-C GroupLow HDL-C Group P d
(HDL-C rangec: 68.30–99.00 mg/dL)(HDL-C rangec: 10.30–35.00 mg/dL)
N (Females, n)48 (24)47 (24)1.00788 (293)
Age, years41.29 ± 8.7240.87 ± 7.120.8040.95 ± 8.39
BMI, kg/m222.06 ± 4.7023.91 ± 5.510.0822.87 ± 4.04
Total Cholesterol, mg/dL201.00 ± 39.68141.68 ± 31.032.40E-12172.01 ± 38.47
LDL-Cholesterol, mg/dL112.55 ± 39.7595.04 ± 28.280.02109.25 ± 34.40
HDL-Cholesterol, mg/dL76.05 ± 7.5325.51 ± 5.662.20E-1647.88 ± 12.87
Triglycerides, mg/dL61.98 ± 19.8595.79 ± 73.210.00472.96 ± 39.32
Apolipoprotein A-I, mg/dL166.04 ± 28.19103.84 ± 27.232.20E-16137.03 ± 28.46
Apolipoprotein B, mg/dL66.00 ± 20.2269.64 ± 21.460.4066.98 ± 22.19

BMI body mass index, HDL-C/HDL-Cholesterol high-density lipoprotein cholesterol, LDL-Cholesterol low-density lipoprotein cholesterol

Values are presented as unadjusted means ± standard deviation (SD), unless otherwise mentioned

aDistribution of HDL-C was adjusted for sex and age: HDL-C levels ≥90th % tile defined as the “High HDL-C group”, and HDL-C levels ≤10th % tile defined as the “Low HDL-C group”

bAll data were unadjusted and included individuals with missing values or outliers (values beyond mean ± 3.5 SD)

cUnadjusted range values

dUnadjusted P-values were calculated with t-test or χ2 test depending on types of variables

Characteristics and lipid profile of 95 individuals with extremea HDL-C levels and of the entire sample of 788 African Blacks BMI body mass index, HDL-C/HDL-Cholesterol high-density lipoprotein cholesterol, LDL-Cholesterol low-density lipoprotein cholesterol Values are presented as unadjusted means ± standard deviation (SD), unless otherwise mentioned aDistribution of HDL-C was adjusted for sex and age: HDL-C levels ≥90th % tile defined as the “High HDL-C group”, and HDL-C levels ≤10th % tile defined as the “Low HDL-C group” bAll data were unadjusted and included individuals with missing values or outliers (values beyond mean ± 3.5 SD) cUnadjusted range values dUnadjusted P-values were calculated with t-test or χ2 test depending on types of variables For resequencing, 95 individuals with extreme HDL-C levels (within the upper and lower 10th percentiles of HDL-C distribution) were chosen from the entire sample of 788 African Blacks. Resequencing sample comprised of 48 individuals with high HDL-C levels (≥90th percentile, range 68.30–99.00 mg/dL; Table 1) and 47 individuals with low HDL-C levels (≤10th percentile, range 10.30–35.00 mg/dL; Table 1). The University of Pittsburgh Institutional Review Board approved the study protocol. All participants gave their informed consent.

Lipid and apolipoprotein measurements

At least 8-hour fasting blood samples were collected from all participants. Serum specimens were separated by centrifugation of blood samples and then stored at −70 °C for 6–12 months until ready for testing. Lipid and apolipoprotein measurements included total cholesterol, HDL-C, TG, ApoA-I, and ApoB and were done with standard assays at the Heinz Nutrition Laboratory, University of Pittsburgh under the Centers for Disease Control Lipid Standardization Program [41]. LDL-C was calculated with the Friedewald equation [42] when TG levels were less than 400 mg/dL.

PCR and sequencing

Genomic DNA was isolated from clotted blood using the standard DNA extraction procedure. All 13 SCARB1 exons (isoform 1, NM_005505), exon-intron boundaries, and 1 kb of each of 5′ and 3′ flanking regions on chromosome 12 (hg19, chr12: 125,262,175-125,348,519) were polymerase chain reaction (PCR) amplified and sequenced. Specific primers were designed using the Primer3 software (Whitehead Institute for Biomedical Research, http://bioinfo.ut.ee/primer3-0.4.0/) to cover 13 target regions, resulting in 14 amplicons, including two overlapping amplicons for the largest last exon 13. PCR reaction and cycling conditions are available upon request. The primer sequences and amplicon sizes are given in Additional file 2: Table S2. Automated DNA sequencing of PCR products was performed in a commercial lab (Beckman Coulter Genomics, Danvers, MA, USA) using Sanger method and ABI 3730XL DNA Analyzers (Applied Biosystems, Waltham, MA, USA). Variant analysis was performed using Variant Reporter (version 1.0, Applied Biosystems, Waltham, MA, USA) and Sequencher (version 4.8, Gene Codes Corporation, Ann Arbor, MI, USA) software in our laboratory.

Variant selection for genotyping

Of 83 variants identified in the discovery step (see Additional file 3: Table S3, Additional file 4: Table S4, Additional file 5: Figure S1, and Additional file 6: Figure S2), 78 (28 with MAF ≥5 % and 50 with MAF <5 %) were selected based on the pairwise linkage disequilibrium (LD) and Tagger analysis using an r threshold of 0.90 (5 were excluded due to high LD) in Haploview (Broad Institute of MIT and Harvard, https://www.broadinstitute.org/scientific-community/science/programs/medical-and-population-genetics/haploview/haploview) [43] for follow-up genotyping in the entire sample (n = 788). Since our sequencing was focused primarily on coding regions, in addition we selected 69 HapMap tag single nucleotide polymorphisms [SNPs] (out of total 108 HapMap tagSNPs; see Additional file 7: Table S5 and Additional file 8: Figure S3) based on Tagger analysis (MAF ≥5 % and r ≥ 0.80) of HapMap data (Release #27) from the Yoruba people of Ibadan, Nigeria (YRI), in order to cover the entire gene for common genetic variation information. Moreover, we selected two SCARB1 variants previously reported to be significantly associated with lipid traits in the literature (Additional file 9: Table S6). Conclusively, a total of 149 variants, comprising of 78 sequence variants, 69 common HapMap-YRI tagSNPs, and two relevant associated variants, were selected for follow-up genotyping.

Genotyping

Genotyping of selected variants in the total sample of 788 individuals was performed by using either iPLEX Gold (Sequenom, Inc., San Diego, CA, USA) or TaqMan (Applied Biosystems, Waltham, MA, USA) methods and following the manufacturers’ protocols. Out of 149 selected variants, two failed assay designs and nine failed genotyping runs (see details in Additional file 3: Table S3, Additional file 7: Table S5, and Additional file 9: Table S6). Quality control (QC) measures for successfully genotyped variants were as follow: a genotype call rate of ≥90 %, a discrepancy rate of <1 in 10 % replicates, and no deviation from Hardy-Weinberg equilibrium [HWE] (P >3.62 × 10−4 after Bonferroni correction). Ultimately, a total of 137 QC-passed genotyped variants were included in genetic association analyses (see Additional file 9: Table S6, Additional file 10: Table S7, Additional file 11: Figure S4, and Additional file 12: Figure S5).

Statistical analysis

We used the Haploview program to determine allele frequencies, to test HWE for genotype distribution, and to evaluate the LD and pairwise correlations (r2) between variants [43]. The values of each lipid phenotype outside the mean ± 3.5 standard deviation (SD) were excluded from downstream gene-based, single-site, and haplotype analyses. However, the extreme phenotypic values associated with rare variants (MAF ≤1 %) were maintained during rare variant analysis, as was the case for the p70201/chr12:125279319 variant (see study workflow in Fig. 1). Values of the five lipid and apolipoprotein traits—HDL-C, LDL-C, TG, ApoA-I, and ApoB—were transformed using the Box-Cox transformation. For each trait, we used stepwise regression method to select the most parsimonious set of covariates from the following list: sex, age, body mass index, waist, current smoking (yes/no), minutes of walking or biking to work each day (jobmin), and occupational status (staff: junior [non-professional staff]/senior [professional and administrative staff]). Genetic association analyses, including gene-based, single-site, LoF/rare variant, and haplotype association tests, were performed using linear regression models that included significant covariates for each variable (Additional file 13: Table S8).
Fig. 1

Summary of the study design and flow. Chart presents an overview of the study design and flow, including sequencing and genotyping stages and analysis approaches. ApoA-I, apolipoprotein A-I; ApoB, apolipoprotein B; HDL-C, high-density lipoprotein cholesterol; LD, linkage disequilibrium; LDL-C, low-density lipoprotein cholesterol; LoF, low-frequency; MAF, minor allele frequency; SD, standard deviation; SKAT-O, an optimal sequence kernel association test; SNP, single nucleotide polymorphism; TG, triglycerides; YRI, Yoruba people of Ibadan from Nigeria

Summary of the study design and flow. Chart presents an overview of the study design and flow, including sequencing and genotyping stages and analysis approaches. ApoA-I, apolipoprotein A-I; ApoB, apolipoprotein B; HDL-C, high-density lipoprotein cholesterol; LD, linkage disequilibrium; LDL-C, low-density lipoprotein cholesterol; LoF, low-frequency; MAF, minor allele frequency; SD, standard deviation; SKAT-O, an optimal sequence kernel association test; SNP, single nucleotide polymorphism; TG, triglycerides; YRI, Yoruba people of Ibadan from Nigeria The gene-based association analysis was conducted under linear additive model for the combined evaluation of common and LoF/rare variants (n = 136, excluding p70201/chr12:125279319; see details above in paragraph two of this section) for five major lipid traits using the versatile gene-based association study [VEGAS] (http://gump.qimr.edu.au/VEGAS/) software [44]. The significance threshold for the gene-based test was set at P-value of 0.05. Following gene-based analysis, which primarily implicated SCARB1 in regulation of HDL-C and ApoA-I levels, we further elucidated the association of SCARB1 variants with these two traits using additional tests. In single-site association analysis, P-values for each trait were adjusted for multiple testing using Benjamini-Hochberg procedure [45] to determine the false discovery rate [FDR] (q-value). For common variants (MAF ≥5 %), a nominal P-value of <0.05 was considered to be suggestive evidence of association, and an FDR cut-off of 0.20 was used to define statistical significance. For LoF/rare variants (MAF <5 %), the single-site association results were interpreted separately because of inadequate power of our study to detect individual statistical significance for these variants. We conducted an optimal sequence kernel association test (SKAT-O) [46] to evaluate the association between a total of 43 LoF/rare variants (MAF <5 %) and the two lipid traits (HDL-C and ApoA-I) by using three different MAF thresholds: <5 % (n = 43), ≤2 % (n = 26), and ≤1 % (n = 23). A significant SKAT-O test was set at a P-value of <0.05. Haplotype association analysis was performed using the generalized linear model. We applied a fixed sliding window approach that included four variants per window and sliding for one variant at a time. For each window, a global P-value was used to assess the association between the haplotypes with frequency >1 % and a given trait. A global P-value threshold of 0.05 was used to define significant haplotype association. All analyses, except for VEGAS, were performed using the R statistical software (http://www.r-project.org/) and relevant R packages (i.e., Haplo.Stats for haplotype analysis and SKAT for SKAT-O analysis).

Results

Identification and distribution of SCARB1 sequence variants in 95 individuals with extreme HDL-C levels

Resequencing of SCARB1 exons and exon-intron boundaries plus flanking regions in 95 African Blacks with extreme HDL-C levels identified 83 variants, of which 51 had MAF <5 % (Additional file 3: Table S3 and Additional file 5: Figure S1). The majority of 83 variants (n = 73) were previously identified (dbSNP build 139: GRCh37.p10). Most variants (n = 80) were singlenucleotide variations [SNVs] (67 transitions and 13 transversions); the rest (n = 3) were short insertion and deletion variations (indels). Tagger analysis using an r cutoff of 0.9 identified 28 bins for 32 common variants (MAF ≥5 %), of which three included more than one variant (r2 ranging from 0.95 to 1.0) (Additional file 6: Figure S2). One of these three bins contained two variants (rs204901986 and rs34339961) in complete LD (r2 = 1.0). Of 51 LoF/rare variants (MAF between 1 and 5 %, n = 31; MAF ≤1 %, n = 20), 17 were present only in the high HDL-C group (MAF ranging between 0.010 and 0.042) and eight were observed only in the low HDL-C group (MAF ranging between 0.011 and 0.033). In the high HDL-C group, 29 of 48 (~60 %) individuals cumulatively carried at least one LoF/rare variant, ranging from 1 to 7 variants. Similarly, in the low HDL-C group, 27 of 47 (~57 %) individuals carried at least one LoF/rare variant, ranging from 1 to 9 variants. Most variants (n = 60) from our sequencing were located in intronic regions, of which two (rs113910315, MAF = 0.005 and rs10396210, MAF = 0.138) were within splice sites (defined as ± 20 bp from the start or end of an exon). The former splice site variant was observed only in the low HDL-C group. Of the total eight coding variants observed, four were common variants (rs2070242 [p.Ser4Ser], rs10396208 [p.Cys21Cys], and rs5888 [p.Ala350Ala], and rs701103 [p.Gly499Arg]—3′ untranslated region [UTR] in isoform 1 and exon 13 in isoform 2), and the remaining four were LoF/rare variants (rs4238001 [p.Gly2Ser], rs5891 [p.Val135Ile], rs5892 [p.Phe301Phe], and rs141545424 [p.Gly501Gly]). Of note, two LoF/rare coding variants, (rs5891 [p.Val135Ile] and rs141545424 [p.Gly501Gly]), were found only in the high HDL-C group. Fifteen variants were located in either UTRs (n = 5) or flanking regions (n = 10). One 3′ UTR variant (rs150512235, MAF = 0.006) was very close to a predicted microRNA-145 (miR-145) target site (TargetScanHuman version 6.2, http://www.targetscan.org/). One 5′ flanking variant (rs181338950, MAF = 0.048) was located in the putative promoter region [47]. All 10 novel variants (9 SNVs and 1 insertion) identified in this study have been submitted to dbSNP database ([batch ID: SCARB1_AB]: http://www.ncbi.nlm.nih.gov/SNP/snp_viewTable.cgi?handle=KAMBOH) and were non-coding with MAF <5 % (ranging between 0.005 and 0.011; Additional file 4: Table S4). Of these novel variants, six and four were present only in the high and low HDL-C groups, respectively.

Genotyping of SCARB1 variants in the entire sample of 788 individuals

Since our sequencing was focused primarily on coding regions, we selected additional HapMap tagSNPs from the HapMap-YRI data in order to cover the entire SCARB1 gene for common genetic variation in SCARB1. Altogether we selected 149 variants for genotyping in our entire African Black sample as follows: 78 variants (28 common variants and 50 LoF/rare variants) discovered in the sequencing step (Additional file 3: Table S3, Additional file 5: Figure S1, and Additional file 6: Figure S2), 69 common HapMap-YRI tagSNPs (Additional file 7: Table S5), and two additional variants with reported association in the literature (Additional file 9: Table S6). Of these 149 variants, 11 (10 from sequencing, including one promoter [rs181338950], one coding (rs4238001 [p.Gly2Ser]), and one novel [p87459/chr12:125262061], and 1 from HapMap tagSNPs [rs4765180]) failed genotyping, and one (rs866793 from HapMap tagSNPs) failed QC measures. Thus, a total of 137 variants (Additional file 9: Table S6 and Additional file 11: Figure S4) that passed QC were advanced into association analyses with five lipoprotein-lipid traits. The majority of 137 genotyped variants (n = 120) were located in introns, 11 were in exons, and six were in 3′ flanking region (Table 2 and Additional file 12: Figure S5). Ninety-four of 137 variants had MAF ≥5 %, including four coding variants, one UTR variant, two deletions, and one splice site variant. The remaining 43 variants had MAF <5 % (MAF between 1 and 5 %, n = 20; MAF ≤1 %, n = 23), including three coding variants, three UTR variants, one insertion, and one splice variant.
Table 2

Distribution of 137 SCARB1 genotyped variants

TotalMAF ≥5 %MAF between 1-5 %MAF ≤1 %
N (%)n (%)n (%)n (%)
Total variants137 (100.00)94 (68.61)20 (14.60)23 (16.79)
By known/novela
 Known128 (93.43)94 (68.61)20 (14.60)14 (10.22)
  Single-nucleotide variation126922014
  Short indels22
 Novel9 (6.57)9 (6.57)
  Single-nucleotide variation88
  Short indels11
By location
 Exons-codingc74c12
 Exons-UTRs4112
 Introns118851617
 Introns-splice sitesb211
 3′ flanking6321
By amino acid change
 Non-synonymousc21c1
 Synonymous5311

Indels insertion and deletion variations, MAF minor allele frequency, UTR untranslated region

The list of 137 genotyped variants is shown in Additional file 9: Table S6

The list of 10 novel variants is shown in Additional file 4: Table S4

adbSNP build 139: GRCh37.p10. All 10 novel variants identified in this study have been submitted to dbSNP (batch ID: SCARB1_AB): http://www.ncbi.nlm.nih.gov/SNP/snp_viewTable.cgi?handle=KAMBOH

bSplice site, defined as ± 20 bp from the start or end of an exon

cIncluding rs701103 (p.Gly499Arg; MAF = 0.2451) that is located in exon 13-3′ UTR and translated only in isoform 2

Distribution of 137 SCARB1 genotyped variants Indels insertion and deletion variations, MAF minor allele frequency, UTR untranslated region The list of 137 genotyped variants is shown in Additional file 9: Table S6 The list of 10 novel variants is shown in Additional file 4: Table S4 adbSNP build 139: GRCh37.p10. All 10 novel variants identified in this study have been submitted to dbSNP (batch ID: SCARB1_AB): http://www.ncbi.nlm.nih.gov/SNP/snp_viewTable.cgi?handle=KAMBOH bSplice site, defined as ± 20 bp from the start or end of an exon cIncluding rs701103 (p.Gly499Arg; MAF = 0.2451) that is located in exon 13-3′ UTR and translated only in isoform 2 Of the 10 novel variants discovered in the sequencing step, nine (8 SNVs and 1 insertion) with MAF <1 % were successfully genotyped (Additional file 4: Table S4). There was one individual with plasma HDL-C levels above the mean + 3.5 SD carrying one novel variant—p70201/chr12:125279319 (MAF = 0.0010). Although this extreme HDL-C value was excluded as outlier from the gene-based, single-site, and haplotype analyses, it was included in the SKAT-O rare variant analysis considering a possible large effect size of this variant (Fig. 1).

Gene-based association analyses

Gene-based tests revealed a nominally significant association (P = 0.0421; Table 3) of SCARB1 variants with HDL-C levels (best SNP: rs141545424 [p.Gly501Gly], exon 12, MAF = 0.0007, P = 0.0016). Additionally, a trend for association (P = 0.1016) was also observed for ApoA-I levels (best SNP: rs7134858, intron 6, MAF = 0.1560, P = 0.0052).
Table 3

Gene-based association analysis results

TraitVariantsTest Statistics P Best SNP
(n)SNP Namea-SNP IDbMAF P
HDL-C136207.5483 0.0421 p82264-rs1415454240.00070.0016
LDL-C136134.18600.4640p32777-rs110578410.28050.0047
TG136118.15980.6700p86316-rs7011040.04870.0357
ApoA-I136183.55650.1016p55963-rs71348580.15600.0052
ApoB136143.72840.3760p22116-rs123703820.06450.0153

ApoA-I apolipoprotein A-I, ApoB apolipoprotein B, HDL-C high-density lipoprotein cholesterol, LDL-C low-density lipoprotein cholesterol, MAF minor allele frequency, SNP single nucleotide polymorphism, TG triglycerides

All results were adjusted for covariates: sex, age, body mass index, waist, current smoking (yes/no), minutes of walking or biking to work each day (jobmin), and occupational status [staff: junior (non-professional staff)/senior (professional and administrative staff)]

Nominally significant gene-based P-values (P < 0.05) are shown in bold

aRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics)

bdbSNP build 139: GRCh37.p10

Gene-based association analysis results ApoA-I apolipoprotein A-I, ApoB apolipoprotein B, HDL-C high-density lipoprotein cholesterol, LDL-C low-density lipoprotein cholesterol, MAF minor allele frequency, SNP single nucleotide polymorphism, TG triglycerides All results were adjusted for covariates: sex, age, body mass index, waist, current smoking (yes/no), minutes of walking or biking to work each day (jobmin), and occupational status [staff: junior (non-professional staff)/senior (professional and administrative staff)] Nominally significant gene-based P-values (P < 0.05) are shown in bold aRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics) bdbSNP build 139: GRCh37.p10 Since the gene-based tests showed evidence of associations with HDL-C and ApoA-I, we primarily focused on these two traits to further examine the SCARB1 variants in the entire sample of 788 African Blacks.

Single-site association analyses of common SCARB1 variants

Of 94 common SCARB1 variants with MAF ≥5 %, 10 showed nominal associations (P < 0.05) with HDL-C and/or ApoA-I (Table 4; see results for each trait in Additional file 14: Table S9 and Additional file 15: Table S10), of which three (rs11057851, rs4765615, and rs838895) exhibited associations with both HDL-C and ApoA-I.
Table 4

Nominally significant single-site associations (P < 0.05) of common SCARB1 variants

SNP NameaSNP IDbChr12 PositioncLocationAmino Acid ChangeRegDB ScoredMajor/Minor AllelesMAFβSER2 (%) P FDRSecondary Trait (Effect)Top 3 Variants
HDL-C
 p20207rs11057853125329313Intron 15G/A0.44840.40820.19251.06500.03430.4235
 p20741rs11057851125328779Intron 15C/T0.3237−0.59240.20671.3010 0.0043 0.1465 ApoA-I (↓)Top 1
 p45516rs1902569125304004Intron 15G/A0.15440.54470.26290.63900.03860.4375
 p49690rs4765615125299830Intron 25G/A0.4426−0.46460.18660.93300.01300.2526ApoA-I (↓)
 p79828rs838895125269692Intron 115C/G0.31710.49610.20590.82200.01620.2756ApoA-I (↑)
ApoA-I
 p20741rs11057851125328779Intron 15C/T0.3237−1.23310.51170.86000.01620.3186HDL-C (↓)
 p49690rs4765615125299830Intron 25G/A0.4426−0.91390.46140.67700.04800.5022HDL-C (↓)
 p55963rs7134858125293557Intron 66C/T0.15601.75370.62601.0710 0.0052 0.2918Top 2
 p63483rs838912125286037Intron 77G/A0.08671.87000.82300.68800.02340.3972
 p64772rs5888125284748Exon 8Ala350Ala3aC/T0.09612.09620.78880.94600.00800.2918Top 3
 p79721rs838896125269799Intron 115G/C0.31041.11470.50560.72700.02780.4197
 p79828rs838895125269692Intron 115C/G0.31711.22060.50740.78000.01640.3186HDL-C (↑)
 p83884rs701106125265636Intron 125C/T0.25971.29670.53520.77700.01560.3186

ApoA-I apolipoprotein A-I, FDR false discovery rate, HDL-C high-density lipoprotein cholesterol, MAF minor allele frequency, RegDB RegulomeDB, SE standard error, SNP single nucleotide polymorphism, UTR untranslated region, R, the proportion of the phenotypic variance explained by the variant; ↓, decreased; ↑, increased

Alleles on reverse strand. HDL-C and ApoA-I variables were in mg/dL and Box-Cox transformed

Results were adjusted for covariates: sex, age, waist, current smoking (yes/no), and minutes of walking or biking to work each day (jobmin) for HDL-C; sex and age for ApoA-I

The most significant P-value for each trait is shown in bold, see the single-site association (−log10 P) plot and pairwise correlations (r) in Fig. 2

FDR that reached a threshold of <0.20 is shown in bold

a, cRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics)

bdbSNP build 139: GRCh37.p10

dDetailed RegulomeDB (version 1.0) scoring scheme is described in Additional file 17: Table S12 or at http://regulome.stanford.edu/help, see functional assignments in Additional file 18: Table S13

Nominally significant single-site associations (P < 0.05) of common SCARB1 variants ApoA-I apolipoprotein A-I, FDR false discovery rate, HDL-C high-density lipoprotein cholesterol, MAF minor allele frequency, RegDB RegulomeDB, SE standard error, SNP single nucleotide polymorphism, UTR untranslated region, R, the proportion of the phenotypic variance explained by the variant; ↓, decreased; ↑, increased Alleles on reverse strand. HDL-C and ApoA-I variables were in mg/dL and Box-Cox transformed Results were adjusted for covariates: sex, age, waist, current smoking (yes/no), and minutes of walking or biking to work each day (jobmin) for HDL-C; sex and age for ApoA-I The most significant P-value for each trait is shown in bold, see the single-site association (−log10 P) plot and pairwise correlations (r) in Fig. 2
Fig. 2

Single-site P-values of 94 SCARB1 common variants for HDL-C and ApoA-I. Top: The -log10 P-values are presented in the Y-axis. A total of 94 genotyped variants with MAF ≥5 % are shown on SCARB1 gene (5′ → 3′; RefSeq: hg19, NM_005505) in the X-axis. The dash line indicates the nominal significance threshold (P = 0.05). Middle: Gene structure of SCARB1. Bottom: Linkage disequilibrium (LD) plot of 10 SCARB1 variants with P-values <0.05. Shades and values (r × 100) in each square of LD plot indicate pairwise correlations: black indicating r2 = 1, white indicating r2 = 0, and shade intensity indicating r2 between 0 and 1. Marker names are shown as “SNP name-SNP ID”. SNP ID is based on dbSNP build 139. ApoA-I, apolipoprotein A-I; FDR, false discovery rate; HDL-C, high-density lipoprotein cholesterol; LD, linkage disequilibrium; MAF, minor allele frequency; SNP, single nucleotide polymorphism; UTR, untranslated region

FDR that reached a threshold of <0.20 is shown in bold a, cRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics) bdbSNP build 139: GRCh37.p10 dDetailed RegulomeDB (version 1.0) scoring scheme is described in Additional file 17: Table S12 or at http://regulome.stanford.edu/help, see functional assignments in Additional file 18: Table S13 The most significant association was found between rs11057851 and HDL-C (β = −0.5924, P = 0.0043, FDR = 0.1465). The second best association was between rs7134858 and ApoA-I (β = 1.7537, P = 0.0052, FDR = 0.2918), followed by the association of rs5888 (p.Ala350Ala) with ApoA-I (β = 2.0962, P = 0.0080, FDR = 0.2918). Of 10 variants that showed nominal associations, high LD (r2 > 0.80) was observed for two pairs of variants (Fig. 2), between rs8388912 and rs5888 (p.Ala350Ala; r2 = 0.86), and between rs838896 and rs838895 (r2 = 0.84). Single-site P-values of 94 SCARB1 common variants for HDL-C and ApoA-I. Top: The -log10 P-values are presented in the Y-axis. A total of 94 genotyped variants with MAF ≥5 % are shown on SCARB1 gene (5′ → 3′; RefSeq: hg19, NM_005505) in the X-axis. The dash line indicates the nominal significance threshold (P = 0.05). Middle: Gene structure of SCARB1. Bottom: Linkage disequilibrium (LD) plot of 10 SCARB1 variants with P-values <0.05. Shades and values (r × 100) in each square of LD plot indicate pairwise correlations: black indicating r2 = 1, white indicating r2 = 0, and shade intensity indicating r2 between 0 and 1. Marker names are shown as “SNP name-SNP ID”. SNP ID is based on dbSNP build 139. ApoA-I, apolipoprotein A-I; FDR, false discovery rate; HDL-C, high-density lipoprotein cholesterol; LD, linkage disequilibrium; MAF, minor allele frequency; SNP, single nucleotide polymorphism; UTR, untranslated region

Association analyses of low-frequency/rare SCARB1 variants

The LoF/rare variants (n = 43) were categorized into three groups based on their frequencies for association analysis with HDL-C and ApoA-I using SKAT-O: MAF <5 % (n = 43), MAF ≤2 % (n = 26), and MAF ≤1 % (n = 23). Although no association between LoF/rare variants and ApoA-I was detected, the group of 23 variants with MAF ≤1 % yielded nominal association with HDL-C levels (P = 0.0478; Table 5).
Table 5

Association results for low-frequency and rare SCARB1 variants (MAF <5 %)

MAFNo of VariantsNo of Samples with/without VariantsHDL-CApoA-I
Stat P Stat P
≤0.01 23a93/694126653.8207 0.0478 60151.09850.3707
≤0.02 26134/653123009.08050.132448439.66970.5166
<0.05 43442/346135697.19740.0737298813.05440.1517

ApoA-I apolipoprotein A-I, HDL-C high-density lipoprotein cholesterol, MAF minor allele frequency, SD standard deviation, SNP single nucleotide polymorphism

Results were adjusted for covariates: sex, age, waist, current smoking (yes/no), and minutes of walking or biking to work each day (jobmin) for HDL-C; sex and age for ApoA-I

Nominally significant P-values (P < 0.05) are shown in bold

aIncluding p70201/chr12:125279319 that was observed in one individual with an outlier value (above the mean + 3.5 SD). See details in Result Section 3.5

Association results for low-frequency and rare SCARB1 variants (MAF <5 %) ApoA-I apolipoprotein A-I, HDL-C high-density lipoprotein cholesterol, MAF minor allele frequency, SD standard deviation, SNP single nucleotide polymorphism Results were adjusted for covariates: sex, age, waist, current smoking (yes/no), and minutes of walking or biking to work each day (jobmin) for HDL-C; sex and age for ApoA-I Nominally significant P-values (P < 0.05) are shown in bold aIncluding p70201/chr12:125279319 that was observed in one individual with an outlier value (above the mean + 3.5 SD). See details in Result Section 3.5 We then individually examined the association of 23 variants with MAF ≤1 % with HDL-C and ApoA-I. Six of these rare variants showed association with either HDL-C levels or both HDL-C and ApoA-I levels (Table 6). While three of them are known variants (rs115604379, rs377124254, and rs141545424 [p.Gly501Gly]), the other three are novel (p52919/chr12:125296601, p54611/chr12:125294909, and p54856/chr12:125294664). Moreover, four of these six rare variants (rs377124254, rs141545424 [p.Gly501Gly], p54611/chr12:125294909, and p54856/chr12:125294664) were present in individuals with extreme phenotypic values (above or below the 3rd percentile). Two of these variants (rs377124254: β = 11.5518, P = 0.0016; rs141545424 [p.Gly501Gly]: β = 11.585, P = 0.0016) were found in a single subject who had very high HDL-C level. Whereas the other two were observed in one individual each, who had extremely low HDL-C levels (p54611/chr12:125294909: β = −9.5243, P = 0.0097; p54856/chr12:125294664: β = −8.4305, P = 0.0215) and ApoA-I levels (p54611/chr12:125294909: β = −19.3821, P = 0.0344; p54856/chr12:125294664: β = −24.0757, P = 0.0082). This rare variant group also included a novel variant (p70201/chr12:125279319) that was observed in one individual with an unusually high plasma HDL-C level (above the mean + 3.5 SD).
Table 6

Characteristics and effects of 6 SCARB1 rare variants of interest

SNP NameaSNP IDbChr12 PositioncLocationAmino Acid ChangeRegDB ScoredMajor/Minor AllelesMAFGTGT Count (Carrier Freq)Adjusted Mean ± SD (mg/dL)βSER2 (%) P FDRSecond Assoc Trait (Effect)
HDL-C
 p52919125296601Intron 45G/T0.0013GG73447.87 ± 12.71−7.40632.58631.10500.00430.1465ApoA-I (↓)
GT2 (0.27)24.67 ± 9.26
 p53372rs115604379125296148Intron 55C/T0.0066CC72947.68 ± 12.643.03721.16420.91400.00930.2190
CT10 (1.35)58.2 ± 13.03
 p54611125294909Intron 54T/C0.0007TT74247.86 ± 12.68−9.52433.67100.89200.00970.2190ApoA-I (↓)
TC1 (0.13)19.59 ± NA
 p54856125294664Intron 64C/T0.0007CC74247.85 ± 12.70−8.43053.65790.71300.02150.3243ApoA-I (↓)
CT1 (0.13)21.48 ± NA
 p77620rs377124254125271900Intron 105G/A0.0007GG73547.77 ± 12.6711.55183.65141.35000.00160.1104
GA1 (0.14)90.2 ± NA
 p82264rs141545424125267256Exon 12Gly501Gly5C/A0.0007CC73947.77 ± 12.6611.58503.64691.35300.00160.1104
CA1 (0.14)90.31 ± NA
ApoA-I
 p52919125296601Intron 45G/T0.0013GG741136.81 ± 27.74−13.41376.46890.57500.03850.4359HDL-C (↓)
GT2 (0.27)97.42 ± 18.38
 p54611125294909Intron 54T/C0.0007TT748136.83 ± 27.66−19.28319.09700.59800.03440.4359HDL-C (↓)
TC1 (0.13)80.62 ± NA
 p54856125294664Intron 64C/T0.0007CC748136.87 ± 27.61−24.07579.07810.93300.00820.2918HDL-C (↓)
CT1 (0.13)67.98 ± NA

ApoA-I apolipoprotein A-I, FDR false discovery rate, GT genotype, HDL-C high-density lipoprotein cholesterol, MAF minor allele frequency, RegDB RegulomeDB, SD standard deviation, SE standard error, SNP single nucleotide polymorphism; R, the proportion of the phenotypic variance explained by the variant; ↓, decreased

All alleles were on reverse stand. HDL-C and ApoA-I variables were in mg/dL and Box-Cox transformed

Results were adjusted for covariates: sex, age, waist, current smoking (yes/no), and minutes of walking or biking to work each day (jobmin) for HDL-C; sex and age for ApoA-I.

Detailed single-site association results are shown in Additional file 14: Table S9 and Additional file 15: Table S10.

a, cRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics)

bdbSNP build 139: GRCh37.p10. All 10 novel variants identified in this study have been submitted to dbSNP (batch ID: SCARB1_AB): http://www.ncbi.nlm.nih.gov/SNP/snp_viewTable.cgi?handle=KAMBOH

dThe RegulomeDB (version 1.0) scoring scheme and functional assignments are described in Additional file 17: Table S12 and Additional file 18: Table S13, respectively

Characteristics and effects of 6 SCARB1 rare variants of interest ApoA-I apolipoprotein A-I, FDR false discovery rate, GT genotype, HDL-C high-density lipoprotein cholesterol, MAF minor allele frequency, RegDB RegulomeDB, SD standard deviation, SE standard error, SNP single nucleotide polymorphism; R, the proportion of the phenotypic variance explained by the variant; ↓, decreased All alleles were on reverse stand. HDL-C and ApoA-I variables were in mg/dL and Box-Cox transformed Results were adjusted for covariates: sex, age, waist, current smoking (yes/no), and minutes of walking or biking to work each day (jobmin) for HDL-C; sex and age for ApoA-I. Detailed single-site association results are shown in Additional file 14: Table S9 and Additional file 15: Table S10. a, cRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics) bdbSNP build 139: GRCh37.p10. All 10 novel variants identified in this study have been submitted to dbSNP (batch ID: SCARB1_AB): http://www.ncbi.nlm.nih.gov/SNP/snp_viewTable.cgi?handle=KAMBOH dThe RegulomeDB (version 1.0) scoring scheme and functional assignments are described in Additional file 17: Table S12 and Additional file 18: Table S13, respectively

Haplotype association analyses

The 4-SNP sliding window haplotype analyses revealed associations of 32 haplotype windows with HDL-C and/or ApoA-I (global P < 0.05; Table 7; see results for each trait in Additional file 16: Table S11), of which five (windows #47, #72, #111, #112, and #123) were associated with both.
Table 7

Significant haplotype association (global P < 0.05) of 136 SCARB1 genotyped variants with HDL-C and ApoA-I

Wind #SNP 1 - SNP 4Chr12 PositioncLocationAmino Acid ChangeMajor/ Minor AllelesMAFβSingle-site PHaplotype #Hap SeqHap FreqCoefSEt.statHap PGlobal P
(SNP Namea-SNP IDb/Chr12 Posc)
HDL-C
39p41632-rs6488943125307888Intron 1A/C0.2954−0.21950.3244 h39.1 CCGG0.03150.43050.64710.66540.50600.0207
39p42467-rs11057830125307053Intron 1C/T0.1523−0.28100.3015 h39.2 CCGA0.2508−0.59180.2725−2.17130.0302
39p45516-rs1902569125304004Intron 1G/A0.15440.5447 0.0386 h39.3 ATGA0.1414−0.68410.3192−2.14330.0324
39p45627-rs12297372125303893Intron 1A/G0.0487−0.04830.9156 h39.4 ACAA0.15140.19910.29630.67200.5018
h39.5 ACGG0.0155−1.71440.9080−1.88800.0594
h39.6 (rare) ****0.01482.52391.09022.31510.0209
hap.base39 ACGA0.3946NANANANA
44p48969-rs2343394125300551Intron 2C/T0.18980.31650.1788 h44.1 TCWG0.18550.52920.25232.09770.03630.0271
44p49537-rs7305310125299983Intron 2C/T0.1007−0.33960.2566 h44.2 CCDG0.22440.46760.24291.92490.0546
44p49570delC-rs145376237125299950Intron 2W/D0.22760.31210.1773 h44.3 CCWG0.04461.04910.48822.14890.0320
44p49690-rs4765615125299830Intron 2G/A0.4426−0.4646 0.0130 h44.4 CTWG0.1018−0.11970.3121−0.38350.7015
h44.5 (rare) ****0.0089−0.98871.0998−0.89900.3689
hap.base44 CCWA0.4348NANANANA
45p49537-rs7305310125299983Intron 2C/T0.1007−0.33960.2566 h45.1 CDGC0.22820.46610.23931.94730.05190.0155
45p49570delC-rs145376237125299950Intron 2W/D0.22760.31210.1773 h45.2 CWGC0.23020.69260.23762.91460.0037
45p49690-rs4765615125299830Intron 2G/A0.4426−0.4646 0.0130 h45.3 TWGC0.1020−0.06530.3085−0.21150.8325
45p49759-rs146272788125299761Intron 2C/T0.00202.59880.2219 h45.4 (rare) ****0.00302.06672.08480.99130.3219
hap.base45 CWAC0.4366NANANANA
46p49570delC-rs145376237125299950Intron 2W/D0.22760.31210.1773 h46.1 DGCG0.22280.43730.24131.81230.07030.0278
46p49690-rs4765615125299830Intron 2G/A0.4426−0.4646 0.0130 h46.2 WGCG0.33110.49100.21052.33260.0199
46p49759-rs146272788125299761Intron 2C/T0.00202.59880.2219 h46.3 (rare) ****0.00801.90891.05691.80610.0713
46p49978-rs5891125299542Exon 3Val135lleG/A0.00581.33740.2791 hap.base46 WACG0.4381NANANANA
47p49690-rs4765615125299830Intron 2G/A0.4426−0.4646 0.0130 h47.1 ACGG0.4346−0.47010.1824−2.57770.01010.0079
47p49759-rs146272788125299761Intron 2C/T0.00202.59880.2219 h47.2 (rare) ****0.01011.46830.94411.55520.1203
47p49978-rs5891125299542Exon 3Val135lleG/A0.00581.33740.2791 hap.base47 GCGG0.5553NANANANA
47p50024-rs368880622125299496Intron 3G/T0.00261.65060.4362
63p53359-rs112371713125296161Intron 5G/A0.12430.41930.1651 h63.1 ACGA0.12370.32730.30111.08710.27730.0394
63p53372-rs115604379125296148Intron 5C/T0.00663.03720.0093 h63.2 GCGG0.0427−0.16300.4738−0.34410.7309
63p53790-rs4765614125295730Intron 5G/A0.2653−0.32810.1218 h63.3 GCAA0.2678−0.24080.2194−1.09750.2728
63p54445-rs60910935125295075Intron 5A/G0.0418−0.12470.7963 h63.4 (rare) ****0.00682.94281.25592.34320.0194
hap.base63 GCGA0.5591NANANANA
72p55923-rs838900125293597Intron 6G/A0.39210.27870.1549 h72.1 ACAG0.27250.40390.25201.60240.10950.0315
72p55963-rs7134858125293557Intron 6C/T0.15600.44180.0799 h72.2 ACGG0.1086−0.17630.3929−0.44860.6538
72p56845-rs838902125292675Intron 6A/G0.4249−0.07860.6801 h72.3 GTAG0.12840.38770.31701.22280.2218
72p57004-rs187562853125292516Intron 6G/A0.00981.64740.0872 h72.4 GTGG0.02970.87220.65461.33230.1832
h72.5 GCAG0.1716−0.49130.3344−1.46900.1422
h72.6 (rare) ****0.01011.77310.95061.86530.0625
hap.base72 GCGG0.2791NANANANA
111p78747-rs2293440125270773Intron 11T/C0.4112−0.16840.3806 h111.1 CCCG0.03060.74580.55991.33210.18320.0040
111p78791-rs75289200125270729Intron 11T/C0.03210.70370.2078 h111.2 CTGC0.1534−0.55560.2830−1.96290.0500
111p79721-rs838896125269799Intron 11G/C0.31040.35650.0817 h111.3 CTCG0.22690.12340.23910.51620.6058
111p79828-rs838895125269692Intron 11C/G0.31710.4961 0.0162 h111.4 TTGG0.01802.30220.76173.02250.0026
h111.5 TTCG0.04390.57550.53171.08230.2795
h111.6 TTCC0.01450.96060.80681.19070.2342
h111.7 (rare) ****0.00330.77552.19170.35380.7236
hap.base111 TTGC0.5094NANANANA
112p78791-rs75289200125270729Intron 11T/C0.03210.70370.2078 h112.1 CCGA0.03110.74400.55591.33840.18120.0055
112p79721-rs838896125269799Intron 11G/C0.31040.35650.0817 h112.2 TGGA0.01712.37340.75063.16210.0016
112p79828-rs838895125269692Intron 11C/G0.31710.4961 0.0162 h112.3 TGCA0.0112−1.26720.9074−1.39640.1630
112p80045-rs838893125269475Intron 11G/A0.32440.31270.1224 h112.4 TCGA0.27040.24880.21641.15010.2505
h112.5 TCCG0.01391.12190.81861.37040.1710
h112.6 (rare) ****0.00681.62441.26911.28000.2009
hap.base112 TGCG0.6493NANANANA
113p79721-rs838896125269799Intron 11G/C0.31040.35650.0817 h113.1 GGAG0.01712.39490.75093.18950.00150.0048
113p79828-rs838895125269692Intron 11C/G0.31710.4961 0.0162 h113.2 GCAG0.0120−1.19630.8784−1.36190.1736
113p80045-rs838893125269475Intron 11G/A0.32440.31270.1224 h113.3 CGAG0.29960.30710.20671.48610.1377
113p81863-rs185445624125267657Intron 11G/A0.0020−0.96120.6510 h113.4 CCGG0.01391.15090.81681.40900.1592
h113.5 (rare) ****0.00811.16221.08961.06660.2865
hap.base113 GCGG0.6493NANANANA
114p79828-rs838895125269692Intron 11C/G0.31710.4961 0.0162 h114.1 GAGC0.31730.37550.20231.85590.06390.0447
114p80045-rs838893125269475Intron 11G/A0.32440.31270.1224 h114.2 CGGT0.0306−0.88400.5344−1.65410.0985
114p81863-rs185445624125267657Intron 11G/A0.0020−0.96120.6510 h114.3 CAGC0.0111−1.26120.9170−1.37540.1694
114p82019-rs838890125267501Intron 11C/T0.0320−1.00510.0618 h114.4 (rare) ****0.00860.90731.09360.82960.4070
hap.base114 CGGC0.6325NANANANA
117p82019-rs838890125267501Intron 11C/T0.0320−1.00510.0618 h117.1 CCAG0.0238−1.05960.6275−1.68840.09170.0433
117p82264-rs141545424125267256Exon 12Gly501GlyC/A0.000711.58500.0016 h117.2 TCGG0.0311−0.96570.5302−1.82150.0689
117p82340-rs77483223125267180Intron 12G/A0.0231−1.04580.1012 h117.3 (rare) ****0.00671.61911.29461.25070.2114
117p82369-rs75446635125267151Intron 12G/A0.00590.58960.6322 hap.base117 CCGG0.9383NANANANA
118p82264-rs141545424125267256Exon 12Gly501GlyC/A0.000711.58500.0016 h118.1 CAGT0.0238−1.06210.6274−1.69290.09090.0375
118p82340-rs77483223125267180Intron 12G/A0.0231−1.04580.1012 h118.2 CGGC0.0307−1.01340.5313−1.90730.0569
118p82369-rs75446635125267151Intron 12G/A0.00590.58960.6322 h118.3 (rare) ****0.00671.61891.27621.26850.2050
118p82434-rs838889125267086Intron 12T/C0.0315−1.03890.0526 hap.base118 CGGT0.9387NANANANA
123p83884-rs701106125265636Intron 12C/T0.25970.24710.2601 h123.1 TCCT0.0256−1.21140.6218−1.94830.05180.0386
123p86245-rs188375019125263275Intron 12C/T0.03410.74470.1639 h123.2 TCCG0.23270.53060.24032.20850.0275
123p86276-rs747155125263244Intron 12C/T0.14950.27930.2980 h123.3 CCTG0.14760.39550.28111.40710.1598
123p86316-rs701104125263204Intron 12G/T0.0487−0.98380.0286 h123.4 CCCT0.0233−0.23290.7038−0.33090.7408
h123.5 CTCG0.03300.88880.54581.62830.1039
h123.6 (rare) ****0.00291.11913.29610.33950.7343
hap.base123 CCCG0.5348NANANANA
124p86245-rs188375019125263275Intron 12C/T0.03410.74470.1639 h124.1 CTGA0.14760.15300.26920.56830.57000.0368
124p86276-rs747155125263244Intron 12C/T0.14950.27930.2980 h124.2 CCTG0.0465−1.18790.4699−2.52810.0117
124p86316-rs701104125263204Intron 12G/T0.0487−0.98380.0286 h124.3 CCGA0.09150.10860.33760.32180.7477
124p86481-rs701103125263039Exon 13-3' UTRGly499Arg (isoform 2)G/A0.24510.16420.4492 h124.4 TCGG0.03370.73480.53621.37020.1710
h124.5 (rare) ****0.00454.08592.11311.93360.0535
hap.base124 CCGG0.6761NANANANA
125p86276-rs747155125263244Intron 12C/T0.14950.27930.2980 h125.1 TGAA0.14760.15430.26890.57370.56640.0307
125p86316-rs701104125263204Intron 12G/T0.0487−0.98380.0286 h125.2 CTGA0.0465−1.19800.4691−2.55350.0109
125p86481-rs701103125263039Exon 13-l3' UTRGly499Arg (isoform 2)G/A0.24510.16420.4492 h125.3 CGAA0.09150.11390.33750.33750.7359
125p86967-rs187492239125262553Exon 13-3' UTRA/G0.03550.77430.1412 h125.4 CGGG0.03520.79740.52411.52160.1285
h125.5 (rare) ****0.00454.09892.11341.93940.0528
hap.base125 CGGA0.6747NANANANA
ApoA-I
47p49690-rs4765615125299830Intron 2G/A0.4426−0.9139 0.0480 h47.1 ACGG0.4351−0.89070.4584−1.94320.05240.0343
47p49759-rs146272788125299761Intron 2C/T0.00201.58830.7630 h47.2 (rare) ****0.01063.58582.29981.55920.1194
47p49978-rs5891125299542Exon 3Val135lleG/A0.00585.67620.0628 hap.base47 GCGG0.5543NANANANA
47p50024-rs368880622125299496Intron 3G/T0.00261.60120.7255
48p49759-rs146272788125299761Intron 2C/T0.00201.58830.7630 h48.1 CGGT0.02063.35551.65642.02580.04310.0293
48p49978-rs5891125299542Exon 3Val135lleG/A0.00585.67620.0628 h48.2 (rare) ****0.01064.07502.36441.72350.0852
48p50024-rs368880622125299496Intron 3G/T0.00261.60120.7255 hap.base48 CGGC0.9688NANANANA
48p50118-rs58710319125299402Intron 3C/T0.02083.13760.0571
49p49978-rs5891125299542Exon 3Val135lleG/A0.00585.67620.0628 h49.1 GGTT0.02133.37921.64162.05840.03990.0289
49p50024-rs368880622125299496Intron 3G/T0.00261.60120.7255 h49.2 GGCC0.19280.88640.58411.51760.1295
49p50118-rs58710319125299402Intron 3C/T0.02083.13760.0571 h49.3 (rare) ****0.00864.73883.18731.48680.1375
49p50151-rs2278986125299369Intron 3T/C0.19330.85680.1419 hap.base49 GGCT0.7774NANANANA
70p54627-chr12_125294893125294893Intron 5G/C0.00203.69100.4850 h70.1 GCAC0.38730.85790.50901.68540.09230.0140
70p54856-chr12_125294664125294664Intron 6C/T0.0007−24.07570.0082 h70.2 GCGT0.15682.09400.67003.12540.0018
70p55923-rs838900125293597Intron 6G/A0.39210.36060.4549 h70.3 (rare) ****0.0027−2.55675.2200−0.48980.6244
70p55963-rs7134858125293557Intron 6C/T0.15601.7537 0.0052 hap.base70 GCGC0.4532NANANANA
71p54856-chr12_125294664125294664Intron 6C/T0.0007−24.07570.0082 h71.1 CACA0.27360.78830.62101.26940.20470.0488
71p55923-rs838900125293597Intron 6G/A0.39210.36060.4549 h71.2 CACG0.11341.12840.97241.16040.2462
71p55963-rs7134858125293557Intron 6C/T0.15601.7537 0.0052 h71.3 CGTA0.12962.11030.79062.66910.0078
71p56845-rs838902125292675Intron 6A/G0.4249−0.30520.5129 h71.4 CGTG0.03002.13581.67721.27340.2032
h71.5 CGCA0.1706−0.10130.8355−0.12120.9035
hap.base71 CGCG0.2822NANANANA
72p55923-rs838900125293597Intron 6G/A0.39210.36060.4549 h72.1 ACAG0.27330.74710.62181.20160.22990.0463
72p55963-rs7134858125293557Intron 6C/T0.15601.7537 0.0052 h72.2 ACGG0.10570.70940.98500.72020.4716
72p56845-rs838902125292675Intron 6A/G0.4249−0.30520.5129 h72.3 GTAG0.12972.03040.78982.57070.0103
72p57004-rs187562853125292516Intron 6G/A0.00983.28530.1690 h72.4 GTGG0.02992.17411.68571.28970.1975
h72.5 GCAG0.1712−0.31220.8263−0.37780.7057
h72.6 (rare) ****0.01003.91052.43731.60440.1090
hap.base72 GCGG0.2801NANANANA
78p57592-rs838903125291928Intron 7G/A0.3763−0.76610.1109 h78.1 GCAC0.05591.89131.04691.80670.07120.0326
78p58514-rs838905125291006Intron 7T/C0.4329−0.42130.3646 h78.2 GTAC0.03671.07841.28140.84150.4003
78p58664-rs865716125290856Intron 7A/T0.27080.53690.3008 h78.3 GTAT0.25570.33650.60350.55760.5773
78p60255-rs3782287125289265Intron 7C/T0.28310.37150.4856 h78.4 GTTC0.24630.49620.58640.84620.3977
h78.5 GTTT0.02385.57151.66433.34770.0009
h78.6 (rare) ****0.00750.63332.93030.21610.8289
hap.base78 ACAC0.3740NANANANA
79p58514-rs838905125291006Intron 7T/C0.4329−0.42130.3646 h79.1 CACT0.12700.32900.83180.39550.69260.0256
79p58664-rs865716125290856Intron 7A/T0.27080.53690.3008 h79.2 TACC0.03790.63841.29210.49410.6214
79p60255-rs3782287125289265Intron 7C/T0.28310.37150.4856 h79.3 TATC0.25630.18510.63360.29210.7703
79p61872-rs838909125287648Intron 7C/T0.21990.92320.1056 h79.4 TTCC0.1587−0.60200.7769−0.77490.4386
h79.5 TTCT0.08801.89020.88562.13420.0331
h79.6 TTTC0.02385.17551.68513.07140.0022
h79.7 (rare) ****0.00591.24663.10790.40110.6885
hap.base79 CACC0.3024NANANANA
80p58664-rs865716125290856Intron 7A/T0.27080.53690.3008 h80.1 ACCG0.0389−0.35211.2793−0.27530.78320.0030
80p60255-rs3782287125289265Intron 7C/T0.28310.37150.4856 h80.2 ACTG0.1274−0.18160.7909−0.22970.8184
80p61872-rs838909125287648Intron 7C/T0.21990.92320.1056 h80.3 ATCG0.2611−0.14000.6323−0.22130.8249
80p62140-rs838910125287380Intron 7G/T0.3047−0.07550.8821 h80.4 TCCG0.1549−1.36140.7489−1.81780.0695
h80.5 TCTG0.09012.05110.89212.29920.0218
h80.6 TTCG0.02244.73071.88422.51070.0123
h80.7 (rare) ****0.00833.14293.43620.91470.3607
hap.base80 ACCT0.2970NANANANA
81p60255-rs3782287125289265Intron 7C/T0.28310.37150.4856 h81.1 CCGC0.1740−1.53550.7276−2.11030.03520.0050
81p61872-rs838909125287648Intron 7C/T0.21990.92320.1056 h81.2 CCGT0.0215−0.56231.6155−0.34810.7279
81p62140-rs838910125287380Intron 7G/T0.3047−0.07550.8821 h81.3 CCTC0.03523.61301.45182.48860.0130
81p62409-rs838911125287111Intron 7C/T0.4211−0.62450.1888 h81.4 CCTT0.2683−0.74980.6337−1.18320.2371
h81.5 CTGC0.08861.47870.92591.59700.1107
h81.6 CTGT0.1287−0.24770.7967−0.31090.7560
h81.7 (rare) ****0.00174.91208.41900.58340.5598
hap.base81 TCGC0.2819NANANANA
82p61872-rs838909125287648Intron 7C/T0.21990.92320.1056 h82.1 CGTT0.02140.37071.60550.23090.81750.0137
82p62140-rs838910125287380Intron 7G/T0.3047−0.07550.8821 h82.2 CTCT0.03643.86411.37032.81990.0049
82p62409-rs838911125287111Intron 7C/T0.4211−0.62450.1888 h82.3 CTTT0.2692−0.20070.5674−0.35370.7237
82p62615-rs7138386125286905Intron 7T/C0.1137−0.64950.3851 h82.4 TGCT0.08692.14880.87772.44810.0146
h82.5 TGTT0.01793.00851.95991.53510.1252
h82.6 TGTC0.1116−0.19610.7815−0.25100.8019
h82.7 (rare) ****0.0020−4.76359.0097−0.52870.5972
hap.base82 CGCT0.4546NANANANA
83p62140-rs838910125287380Intron 7G/T0.3047−0.07550.8821 h83.1 GCTA0.08542.06240.88862.32110.02050.0187
83p62409-rs838911125287111Intron 7C/T0.4211−0.62450.1888 h83.2 GTTG0.03891.36671.25271.09100.2756
83p62615-rs7138386125286905Intron 7T/C0.1137−0.64950.3851 h83.3 GTCG0.1129−0.31430.7855−0.40020.6891
83p63483-rs838912125286037Intron 7G/A0.08671.8700 0.0234 h83.4 TCTG0.03683.84881.37572.79770.0053
h83.5 TTTG0.2675−0.16810.5759−0.29180.7705
h83.6 (rare) ****0.0031−0.56965.5038−0.10350.9176
hap.base83 GCTG0.4554NANANANA
86p63483-rs838912125286037Intron 7G/A0.08671.8700 0.0234 h86.1 ATCG0.08712.54310.85502.97430.00300.0290
86p64772-rs5888125284748Exon 8Ala350AlaC/T0.09612.0962 0.0080 h86.2 GCAG0.14570.36130.69570.51940.6037
86p64923-rs838915125284597Intron 8C/A0.1435−0.36840.5766 h86.3 GCCA0.28141.09720.57821.89760.0581
86p65999-rs12819677125283521Intron 8G/A0.28130.67690.2052 h86.4 GTCG0.01161.65632.12400.77980.4357
hap.base86 GCCG0.4736NANANANA
95p71867-rs7954022125277653Intron 9C/T0.13230.85020.2241 h95.1 TACT0.13110.82020.76881.06690.28640.0131
95p72197-rs838861125277323Intron 9A/G0.3777−0.15070.7464 h95.2 CACC0.05070.31881.28090.24890.8035
95p72777-rs838862125276743Intron 9C/T0.08870.70120.3938 h95.3 CGCT0.1846−0.78320.6960−1.12530.2608
95p75766-rs838866125273754Intron 9T/C0.2116−0.04970.9306 h95.4 CGCC0.10220.71760.85810.83620.4033
h95.5 CGTT0.03244.75251.50713.15340.0017
h95.6 CGTC0.0582−1.39871.0854−1.28870.1979
h95.7 (rare) ****0.000918.2723NANANA
hap.base95 CACT0.4399NANANANA
96p72197-rs838861125277323Intron 9A/G0.3777−0.15070.7464 h96.1 ACCT0.04431.07961.28320.84130.40040.0484
96p72777-rs838862125276743Intron 9C/T0.08870.70120.3938 h96.2 GCTC0.1849−0.79790.6554−1.21760.2238
96p75766-rs838866125273754Intron 9T/C0.2116−0.04970.9306 h96.3 GCCT0.0727−0.38660.9478−0.40790.6835
96p75778-rs7301120125273742Intron 9C/T0.11350.37670.6174 h96.4 GCCC0.02821.93721.61071.20270.2295
h96.5 GTTC0.03194.23631.44002.94190.0034
h96.6 GTCC0.0595−1.34211.0101−1.32860.1844
h96.7 (rare) ****0.0058−3.23423.8265−0.84520.3983
hap.base96 ACTC0.5728NANANANA
97p72777-rs838862125276743Intron 9C/T0.08870.70120.3938 h97.1 CTCT0.1997−1.07810.6237−1.72870.08430.0098
97p75766-rs838866125273754Intron 9T/C0.2116−0.04970.9306 h97.2 CCTT0.11410.20050.75970.26390.7919
97p75778-rs7301120125273742Intron 9C/T0.11350.37670.6174 h97.3 CCCT0.03360.79631.38940.57310.5667
97p76757-rs9919713125272763Intron 9A/T0.4390−0.18600.6921 h97.4 TTCT0.03014.37731.44943.02010.0026
h97.5 TCCT0.0588−1.41251.0117−1.39610.1631
h97.6 (rare) ****0.0050−6.58693.6167−1.82130.0690
hap.base97 CTCA0.5587NANANANA
109p78402-rs838898125271118Intron 10G/A0.0714−0.98060.2889 h109.1 AGCT0.0288−1.41341.6436−0.86000.39010.0195
109p78430-rs838897125271090Intron 10C/G0.3830−0.18870.6887 h109.2 AGTT0.0451−1.50931.2496−1.20780.2275
109p78747-rs2293440125270773Intron 11T/C0.4112−0.29840.5352 h109.3 GGCC0.03173.07841.37632.23660.0256
109p78791-rs75289200125270729Intron 11T/C0.03213.65680.0086 h109.4 GGCT0.1633−0.41260.6911−0.59710.5506
h109.5 GGTT0.1088−1.65370.8639−1.91420.0560
h109.6 GCCT0.1851−1.81040.7168−2.52560.0118
hap.base109 GCTT0.4363NANANANA
110p78430-rs838897125271090Intron 10C/G0.3830−0.18870.6887 h110.1 GCCC0.03053.03571.42242.13420.03310.0012
110p78747-rs2293440125270773Intron 11T/C0.4112−0.29840.5352 h110.2 GCTG0.0189−3.09732.2833−1.35650.1753
110p78791-rs75289200125270729Intron 11T/C0.03213.65680.0086 h110.3 GCTC0.1696−0.02900.6830−0.04240.9662
110p79721-rs838896125269799Intron 11G/C0.31041.1147 0.0278 h110.4 GTTG0.1400−2.31580.7741−2.99140.0029
h110.5 GTTC0.01891.35362.33850.57880.5629
h110.6 CCTG0.1379−2.40140.7888−3.04430.0024
h110.7 CCTC0.0514−0.86771.2628−0.68710.4922
h110.8 CTTC0.0398−0.18921.4963−0.12640.8994
h110.9 (rare) ****0.00127.82358.03130.97410.3303
hap.base110 CTTG0.3918NANANANA
111p78747-rs2293440125270773Intron 11T/C0.4112−0.29840.5352 h111.1 CCCG0.03053.57041.40772.53640.01140.0038
111p78791-rs75289200125270729Intron 11T/C0.03213.65680.0086 h111.2 CTGC0.1514−2.16970.7058−3.07420.0022
111p79721-rs838896125269799Intron 11G/C0.31041.1147 0.0278 h111.3 CTCG0.22330.30860.59850.51570.6062
111p79828-rs838895125269692Intron 11C/G0.31711.2206 0.0164 h111.4 TTGG0.01731.05021.93880.54170.5882
h111.5 TTGC0.04310.34641.31400.26370.7921
h111.6 TTCC0.01500.64291.97450.32560.7448
h111.7 (rare) ****0.00473.88534.06340.95620.3393
hap.base111 TTGC0.5147NANANANA
112p78791-rs75289200125270729Intron 11T/C0.03213.65680.0086 h112.1 CCGA0.03093.73151.39472.67550.00760.0412
112p79721-rs838896125269799Intron 11G/C0.31041.1147 0.0278 h112.2 TGGA0.01791.86461.84671.00970.3130
112p79828-rs838895125269692Intron 11C/G0.31711.2206 0.0164 h112.3 TGCA0.0109−3.37202.3180−1.45470.1462
112p80045-rs838893125269475Intron 11G/A0.32440.88590.0774 h112.4 TCGA0.26610.70870.54281.30560.1921
h112.5 TCCG0.01441.03162.01470.51200.6088
h112.6 (rare) ****0.00682.87153.21050.89440.3714
hap.base112 TGCG0.6530NANANANA
123p83884-rs701106125265636Intron 12C/T0.25971.2967 0.0156 h123.1 TCCT0.0235−1.76381.7393−1.01410.31090.0468
123p86245-rs188375019125263275Intron 12C/T0.03411.83990.1674 h123.2 TCCG0.23511.87260.60063.11790.0019
123p86276-rs747155125263244Intron 12C/T0.1495−0.21640.7433 h123.3 CCTG0.14850.39120.69810.56040.5754
123p86316-rs701104125263204Intron 12G/T0.0487−0.66270.5579 h123.4 CCCT0.02381.64761.75460.93900.3480
h123.5 CTCG0.03282.31441.36551.69490.0905
h123.6 (rare) ****0.00241.27048.81530.14410.8855
hap.base123 CCCG0.5340NANANANA

ApoA-I apolipoprotein A-I, Coef coefficient, del/D deletion, HDL-C high-density lipoprotein cholesterol, MAF minor allele frequency, NA not analyzed, SE standard error, SNP single nucleotide polymorphism, UTR untranslated region, W wild type allele for deletion on RefSeq

All alleles on the reverse strand. HDL-C and ApoA-I variables were in mg/dL and Box-Cox transformed

Results were adjusted for covariates: sex, age, waist, current smoking (yes/no), and minutes of daily walking or biking to work (jobmin) for HDL-C; sex and age for ApoA-I

SNP 1-SNP 4 for each window are shown as “SNP name-SNP ID/Chromosome 12 Position (for novel variants)”. All 10 novel variants identified in this study have been submitted to dbSNP database (batch ID: SCARB1_AB): http://www.ncbi.nlm.nih.gov/SNP/snp_viewTable.cgi?handle=KAMBOH.

Nominally significant P-values (P < 0.05) for SNPs with MAF ≥5 % in single-site analysis are shown in bold

Haplotype sequences corresponding to SNP 1-SNP 4 in the 5′ to 3′ direction, respectively

Haplotype association results for all haplotype windows are shown in Additional file 16: Table S11, see haplotype association plots in Fig. 3

a, cRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics)

bdbSNP build 139: GRCh37.p10

Significant haplotype association (global P < 0.05) of 136 SCARB1 genotyped variants with HDL-C and ApoA-I ApoA-I apolipoprotein A-I, Coef coefficient, del/D deletion, HDL-C high-density lipoprotein cholesterol, MAF minor allele frequency, NA not analyzed, SE standard error, SNP single nucleotide polymorphism, UTR untranslated region, W wild type allele for deletion on RefSeq All alleles on the reverse strand. HDL-C and ApoA-I variables were in mg/dL and Box-Cox transformed Results were adjusted for covariates: sex, age, waist, current smoking (yes/no), and minutes of daily walking or biking to work (jobmin) for HDL-C; sex and age for ApoA-I SNP 1-SNP 4 for each window are shown as “SNP name-SNP ID/Chromosome 12 Position (for novel variants)”. All 10 novel variants identified in this study have been submitted to dbSNP database (batch ID: SCARB1_AB): http://www.ncbi.nlm.nih.gov/SNP/snp_viewTable.cgi?handle=KAMBOH. Nominally significant P-values (P < 0.05) for SNPs with MAF ≥5 % in single-site analysis are shown in bold Haplotype sequences corresponding to SNP 1-SNP 4 in the 5′ to 3′ direction, respectively Haplotype association results for all haplotype windows are shown in Additional file 16: Table S11, see haplotype association plots in Fig. 3
Fig. 3

Haplotype association plots for HDL-C and ApoA-I. Top: The -log10 P-values are presented in the Y-axis. A total of 136 genotyped variants are shown in order on SCARB1 gene (5′ → 3′; RefSeq: hg19, NM_005505) in the X-axis. Middle: gene structure of SCARB1. Marker names are shown as “SNP name-SNP ID/chromosome 12 position (for novel variants)”. Bottom: linkage disequilibrium (LD) plot of 136 variants. SNPs with MAF ≥5 % are shown in bold. SNP ID is based on dbSNP build 139. All 10 novel variants identified in this study have been submitted to dbSNP (batch ID: SCARB1_AB): http://www.ncbi.nlm.nih.gov/SNP/snp_viewTable.cgi?handle=KAMBOH. The dash line indicates the significance threshold (global P = 0.05). Significantly associated haplotype regions are highlighted. The degree of shades and values (r2 × 100) in each square of LD plot represent the pairwise correlations between 136 genotyped variants: black indicating r2 = 1, white indicating r2 = 0, and shade intensity indicating r2 between 0 and 1. ApoA-I, apolipoprotein A-I; HDL-C, high-density lipoprotein cholesterol; LD, linkage disequilibrium; MAF, minor allele frequency; SNP, single nucleotide polymorphism; UTR, untranslated region

a, cRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics) bdbSNP build 139: GRCh37.p10 Overall, a total of 21 haplotype windows showed significant associations with ApoA-I, of which 10 contained seven variants associated with ApoA-I in single-site analysis. Haplotype window #110 spanning introns 10–11 showed the best association signal (global P = 0.0012) and contained the rs838896 variant with a nominal evidence of association with ApoA-I (P = 0.0278) in single-site analysis. A total of 16 haplotype windows yielded significant associations with HDL-C, of which seven contained three HDL-C-associated variants detected in single-site analysis. The most significant association was found with window #111 (global P = 0.0040) spanning intron 11, which contained the rs838895 variant nominally associated with HDL-C (P = 0.0162) in single-site analysis. We observed nine regions (5 regions for ApoA-I and 4 regions for HDL-C) harboring consecutive significant haplotype windows (global P < 0.05; ranging from 2 to 6 windows per region; Table 8 and Fig. 3). Seven of those regions contained at least one of the six variants that exhibited nominal associations (P < 0.05) with HDL-C and/or ApoA-I (rs4765615, rs7134858, rs838912, rs838896, rs838895, and rs701106) in single-site analysis.
Table 8

Significantly associated haplotype regions (global P < 0.05) with HDL-C and ApoA-I

Region #TraitConsecutive Significantly Associated Haplotype Windows (global P < 0.05)
Haplotype Windows #Chr12 PositionaThe Composited Variants in the Region, 5′ to 3′ DirectionMost Relevant Haplotype
(Location)
Start (5′)End (3′)SNP Nameb-SNP IDc/Chr12 PositionaMajor/Minor AllelesHaplotype #Sequenceβ (Min-Max)
1 HDL-C44125300551125299542p48969-rs2343394C/Th44.3CCWGCGG0.4910–1.0491
45(intron 2)(exon 3)p49537-rs7305310C/Th45.2
46p49570delC-rs145376237W/Dh46.2
47 p49690-rs4765615 G/Ahap.base47
p49759-rs146272788C/Thap.base44CCWACGG−0.4701
p49978-rs5891 (p.Val135Ile)G/Ahap.base45
p50024-rs368880622G/Thap.base46
h47.1
2 ApoA-I47125299830125299369 p49690-rs4765615 G/Ah47.1ACGGTT(−0.8907)–3.3792
48(intron 2)(intron 3)p49759-rs146272788C/Th48.1
49p49978-rs5891 (p.Val135Ile)G/Ah49.1
p50024-rs368880622G/T
p50118-rs58710319C/T
p50151-rs2278986T/C
3 ApoA-I70125294893125292516p54627-chr12_125294893G/Ch70.2GCGTAG2.0304–2.1103
71(intron 5)(intron 6)p54856-chr12_125294664dC/Th71.3
72p55923-rs838900G/Ah72.3
p55963-rs7134858 C/T
p56845-rs838902A/G
p57004-rs187562853G/A
4 ApoA-I78125291928125286037p57592-rs838903G/Ah78.5GTTTCGCTG4.7307–5.5715
79(intron 7)(intron 7)p58514-rs838905T/Ch79.6
80p58664-rs865716A/Th80.6
81p60255-rs3782287C/Thap.base81
82p61872-rs838909C/Thap.base82
83p62140-rs838910G/Thap.base83
p62409-rs838911C/Th78.2GTACCTCTG0.6384–3.8641
p62615-rs7138386T/Ch79.2
p63483-rs838912 G/Ahap.base80
h81.3
h82.2
h83.4
5 ApoA-I95125277653125272763p71867-rs7954022C/Th95.5CGTTCT4.2363-4.7525
96(intron 9)(intron 9)p72197-rs838861A/Gh96.5
97p72777-rs838862C/Th97.4
p75766-rs838866T/C
p75778-rs7301120C/T
p76757-rs9919713A/T
6*ApoA-I109125271118125269475p78402-rs838898G/Ah109.6GCCTGCA(−3.3720)─(−1.8104)
110 (intron 10)(intron 11)p78430-rs838897C/Gh110.6
111p78747-rs2293440T/Ch111.2
112p78791-rs75289200T/Ch112.3
p79721-rs838896 G/C
p79828-rs838895 C/G
p80045-rs838893G/A
7*HDL-C 111 125270773125267501p78747-rs2293440T/Ch111.4TTGGAGC0.3755–2.3949
112(intron 11)(intron 11)p78791-rs75289200T/Ch112.2
113p79721-rs838896G/Ch113.1
114 p79828-rs838895 C/Gh114.1
p80045-rs838893G/A
p81863-rs185445624G/A
p82019-rs838890C/T
8 HDL-C117125267501125267086p82019-rs838890C/Th117.2TCGGC(−1.0134)–(−0.9657)
118(intron 11)(intron 12)p82264-rs141545424 (p.Gly501Gly)dC/Ah118.2
p82340-rs77483223G/A
p82369-rs75446635G/A
p82434-rs838889T/C
9 HDL-C123125265636125262553 p83884-rs701106 C/Th123.4CCCTGA(−1.180)–(−0.2329)
124(intron 12)(exon 13-3′ UTR)p86245-rs188375019C/Th124.2
125p86276-rs747155C/Th125.2
p86316-rs701104G/T
p86481-rs701103 (p.Gly499Arg, isoform 2)G/A
p86967-rs187492239A/G

ApoA-I apolipoprotein A-I, del/D deletion, HDL-C high-density lipoprotein cholesterol, SNP single nucleotide polymorphism, UTR untranslated region, W wild type allele for deletion on the RefSeq

All alleles on the reverse strand. HDL-C and ApoA-I variables were in mg/dL and Box-Cox transformed

Results were adjusted for covariates: sex, age, waist, current smoking (yes/no), and minutes of daily walking or biking to work (jobmin) for HDL-C; sex and age for ApoA-I

All nine haplotype regions are shown in Fig. 3

Detailed single-site associations are shown in Additional file 14: Table S9 and Additional file 15: Table S10

Detailed haplotype associations are shown in Table 7 and Additional file 16: Table S11

Regions with asterisk (*) indicate regions that included the haplotype window exhibiting the most significant association signal (the smallest global P) for the associated trait

For each region, the most significant associated haplotype window is shown in bold

SNPs with significant evidence of association with the same trait in both single-site and haplotype analyses (single-site P < 0.05 and global P < 0.05) are shown in bold

SNPs with significant evidence of association with different trait in single-site and haplotype analyses (single-site P < 0.05 and global P < 0.05) are shown in italic bold

a, bRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics)

cdbSNP build 139: GRCh37.p10

dRare variants of interest with potential effects on lipid traits; see details in Table 6

Significantly associated haplotype regions (global P < 0.05) with HDL-C and ApoA-I ApoA-I apolipoprotein A-I, del/D deletion, HDL-C high-density lipoprotein cholesterol, SNP single nucleotide polymorphism, UTR untranslated region, W wild type allele for deletion on the RefSeq All alleles on the reverse strand. HDL-C and ApoA-I variables were in mg/dL and Box-Cox transformed Results were adjusted for covariates: sex, age, waist, current smoking (yes/no), and minutes of daily walking or biking to work (jobmin) for HDL-C; sex and age for ApoA-I All nine haplotype regions are shown in Fig. 3 Detailed single-site associations are shown in Additional file 14: Table S9 and Additional file 15: Table S10 Detailed haplotype associations are shown in Table 7 and Additional file 16: Table S11 Regions with asterisk (*) indicate regions that included the haplotype window exhibiting the most significant association signal (the smallest global P) for the associated trait For each region, the most significant associated haplotype window is shown in bold SNPs with significant evidence of association with the same trait in both single-site and haplotype analyses (single-site P < 0.05 and global P < 0.05) are shown in bold SNPs with significant evidence of association with different trait in single-site and haplotype analyses (single-site P < 0.05 and global P < 0.05) are shown in italic bold a, bRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics) cdbSNP build 139: GRCh37.p10 dRare variants of interest with potential effects on lipid traits; see details in Table 6 Haplotype association plots for HDL-C and ApoA-I. Top: The -log10 P-values are presented in the Y-axis. A total of 136 genotyped variants are shown in order on SCARB1 gene (5′ → 3′; RefSeq: hg19, NM_005505) in the X-axis. Middle: gene structure of SCARB1. Marker names are shown as “SNP name-SNP ID/chromosome 12 position (for novel variants)”. Bottom: linkage disequilibrium (LD) plot of 136 variants. SNPs with MAF ≥5 % are shown in bold. SNP ID is based on dbSNP build 139. All 10 novel variants identified in this study have been submitted to dbSNP (batch ID: SCARB1_AB): http://www.ncbi.nlm.nih.gov/SNP/snp_viewTable.cgi?handle=KAMBOH. The dash line indicates the significance threshold (global P = 0.05). Significantly associated haplotype regions are highlighted. The degree of shades and values (r2 × 100) in each square of LD plot represent the pairwise correlations between 136 genotyped variants: black indicating r2 = 1, white indicating r2 = 0, and shade intensity indicating r2 between 0 and 1. ApoA-I, apolipoprotein A-I; HDL-C, high-density lipoprotein cholesterol; LD, linkage disequilibrium; MAF, minor allele frequency; SNP, single nucleotide polymorphism; UTR, untranslated region

Functional evaluation of identified variants

In order to examine the possible regulatory function of all 153 SCARB1 variants (83 variants identified by our sequencing, 68 common HapMap tagSNPs [excluding rs4765180 due to genotyping failure; see Additional file 7: Table S5], and two relevant variants from the literature), we used the RegulomeDB database (version 1.0, Stanford University, http://www.regulomedb.org/) [48]. Although most of 153 variants (n = 132) revealed scores ranging from 1 to 6, only 11 were supported by strong evidence for regulatory function (scores of 1f -2b): one promoter, one 5′ UTR, two coding (rs2070242 [p.Ser4Ser] and rs10396208 [p.Cys21Cys]), five intronic, one 3′ UTR, and one 3′ flanking variants. Summary and detailed regulatory functions are provided in Additional file 17: Table S12 and Additional file 18: Table S13. Of 10 variants associated with HDL-C and/or ApoA-I, only one ApoA-I associated variant (rs5888 [p.Ala350Ala] in exon 8) showed suggestive evidence of regulatory function with a score of 3a (Table 4). Of 10 novel variants, one insertion variant (p1048insC/chr12:125348472) located in 5′ UTR-exon 1 had a strong potential for regulatory function with a score of 2a (Additional file 4: Table S4).

Comparison of SCARB1 single-site and haplotype association analysis results between African Blacks (this study) and US Non-Hispanic Whites (previous study [49])

We compared SCARB1 single-site and haplotype association results in African Blacks reported in this study to those in US Non-Hispanic Whites (NHWs) reported in our previously published study [49]. In the sequencing stage, the number of variants identified in African Blacks (n = 83) was greater than that in US NHWs (n = 44). Notably, most (~90 %) of the 22 sequence variants that were shared between the two populations differed in minor alleles and/or MAFs. Although our major findings included the associations with HDL-C and ApoA-I in African Blacks, we also sought to replicate four associations observed with ApoB levels in US NHWs [49] (Table 9); the association between rs11057820 and ApoB (P < 0.05) that we previously reported in US NHWs [49] was also observed in African Blacks (US NHWs [G allele]: β = 0.8700, P = 0.0436; African Blacks [A allele]: β = 1.8661, P = 0.0292). In addition, we observed two variants (rs4765615 and rs701106) exhibiting nominal associations (P < 0.05) in both populations, albeit with different lipid traits (US NHWs| rs4765615 [G allele]: β = 1.2493, P = 0.0059 for ApoB; rs701106 [T allele]: β = 0.0394, P = 0.0066 for HDL-C; African Blacks| rs4765615 [A allele]: β = −0.4646, P = 0.013 for HDL-C and β = −0.9139, P = 0.048 for ApoA-I; rs701106 [T allele]: β = 1.2967, P = 0.0156 for ApoA-I). Moreover, we noticed that two regions associated with HDL-C or ApoA-I (global P < 0.05; Table 10) in African Blacks spanning intron 2 and intron 3 overlapped with the ApoB-associated region (Region I in Fig. 4) previously reported in US NHWs [49]. Three haplotype regions associated with HDL-C (global P < 0.05) spanning intron 11 and exon 13-3′ UTR in African Blacks also overlapped with a large HDL-C-associated region (Region II in Fig. 4) previously reported in US NHWs [49].
Table 9

Results for 7 SCARB1 lipid-associated variants in US Non-Hispanic Whites (previous studya) and in African Blacks (this study)

SNP NamebSNP IDcChr12 PositiondLocationRegDB ScoreeAllelesUS Non-Hispanic Whitesa (n = 623)African Blacks (n = 788)
MA, MAFβ P MA, MAFβ P Other Assoc Trait(s)f
(SE)(SE)
HDL-C
 p28957rs11057844125320563Intron 15G/AA, 0.1839−0.0395 0.0035 A, 0.23620.36710.1075
(0.0135)(0.2278)
 p83884rs701106125265636Intron 125C/TT, 0.15270.0394 0.0066 T, 0.25970.24710.2601ApoA-I
(0.0144)(0.2192)
 p87927rs8388801252615933′ flanking5G/AG, 0.32370.0257 0.0250 A, 0.24140.01980.9314
(0.0114)(0.2302)
ApoB
 p48969rs2343394125300551Intron 25C/TT, 0.28501.2544 0.0082 T, 0.18980.03830.9544
(0.4721)(0.6696)
 p49690rs4765615125299830Intron 25G/AG, 0.44971.2493 0.0059 A, 0.44260.77710.1338HDL-C, ApoA-I
(0.4518)(0.5178)
 p50151rs2278986125299369Intron 35T/CC, 0.28901.1926 0.0122 C, 0.19330.13080.8434
(0.4735)(0.6619)
 p52556rs11057820125296964Intron 45G/AG, 0.48710.8700 0.0436 A, 0.10001.8661 0.0292
(0.4300)(0.8542)

ApoB apolipoprotein B, HDL-C high-density lipoprotein cholesterol, MA minor allele, MAF minor allele frequency, RegDB RegulomeDB, SE standard error, SNP single nucleotide polymorphism

All alleles on the reverse strand

HDL-C and ApoB values for US Non-Hispanic Whites were in mg/dL, Box-Cox transformed, and adjusted for covariates: sex, age, body mass index, and smoking (past/current/never) for HDL-C; age and smoking for ApoB

HDL-C and ApoB values for African Blacks were in mg/dL, Box-Cox transformed, and adjusted for covariates: sex, age, waist, current smoking (yes/no), and daily walking or biking to work (jobmin) for HDL-C; body mass index and staff status for ApoB

Nominally significant P-values (P < 0.05) are shown in bold

aData from Niemsiri V, et al. Circ Cardiovasc Genet 2014, 7(6):838–847 (Ref [49])

b, dRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics)

cdbSNP version 139: GRCh37.p10

eThe RegulomeDB (version 1.0) scoring scheme is described at the footnote of Additional file 17: Table S12 or at http://regulome.stanford.edu/help

fEvidence is based on SNPs with MAF ≥5 % exhibiting nominally significant association with either HDL-C or ApoA-I (P < 0.05; Additional file 14: Table S9 and Additional file 15: Table S10) in single-site association results in the current study

Table 10

Significant lipid-associated regions (global P < 0.05) that were observed in US Non-Hispanic Whites (previous studya) and African Blacks (this study)

Region #Consecutive Haplotype Windows in 623 US Non-Hispanic WhitesaConsecutive Haplotype Windows in 788 African Blacks
TraitChr12 Positionb (Location)Length (bp)The Composited Variants, 5′ to 3′ DirectionTraitChr12 Positionb (Location)Length (bp)The Composited Variants, 5′ to 3′ Direction
Start (5′)End (3′)SNP Namec-SNP IDdMajor/Minor AllelesStart (5′)End (3′)SNP Namec-SNP IDdMajor/Minor Alleles
I ApoB 1253005511252993691183p48969-rs2343394C/T HDL-C 1253005511252994961056p48969-rs2343394C/T
(intron 2)(intron 3)p49518-rs144194221G/A(intron 2)(intron 3)p49537-rs7305310C/T
p49690-rs4765615 A/Gp49570delC-rs145376237W/D
p49978-rs5891G/A p49690-rs4765615 G/A
(p.Val135Ile)
p50151-rs2278986T/Cp49759-rs146272788C/T
p49978-rs5891G/A
(p.Val135Ile)
p50024-rs368880622G/T
ApoA-I 125299830125299369462 p49690-rs4765615 G/A
(intron 2)(intron 3)p49759-rs146272788C/T
p49978-rs5891G/A
(p.Val135Ile)
p50024-rs368880622G/T
p50118-rs58710319C/T
p50151-rs2278986T/C
II HDL-C 1252696921252625167177p79828-rs838895C/G HDL-C 1252696921252675012192 p79828-rs838895 C/G
(intron 11)(exon 13- 3′ UTR)p80045-rs838893G/A(intron 11)(intron 11)p80045-rs838893G/A
p83088-rs797729A/Gp81863-rs185445624G/A
p83884-rs701106 C/Tp82019-rs838890C/T
p86436-rs10396214C/T HDL-C 125267501125267086416p82019-rs838890C/T
(p.Arg484Trp, isoform 2)
p87004-rs184715678C/A(intron 11)(intron 12)p82264-rs141545424C/A
(p.Gly501Gly)
p82340-rs77483223G/A
p82369-rs75446635G/A
p82434-rs838889T/C
HDL-C 1252656361252625533084 p83884-rs701106 C/T
(intron 12)(exon 13- 3′ UTR)p86245-rs188375019C/T
p86276-rs747155C/T
p86316-rs701104G/T
p86481-rs701103G/A
(p.Gly499Arg, isoform 2)
p86967-rs187492239A/G

ApoA-I apolipoprotein A-I, ApoB apolipoprotein B, del/D deletion, HDL-C high-density lipoprotein cholesterol, SNP single nucleotide polymorphism, UTR untranslated region, W wild type allele for deletion on RefSeq

All alleles on the reverse strand

Results for a US Non-Hispanic White sample were Box-Cox transformed, and adjusted for covariates: sex, age, body mass index, and smoking (past/current/never) for HDL-C; age and smoking for ApoB

Results for an African Black sample were Box-Cox transformed, and adjusted for covariates: sex, age, waist, current smoking (yes/no), and minutes of walking or biking to work each day (jobmin) for HDL-C; sex and age for ApoA-I

Location of each region on SCARB1 gene is shown in Fig. 4

SNPs with significant evidence with the same trait in both single-site and haplotype associations (single-site P and global P < 0.05) observed in each population are shown in bold

SNPs with significant evidence with the different trait in single-site and haplotype associations (single-site P and global P < 0.05) in each population are shown in

aData from Niemsiri V, et al. Circ Cardiovasc Genet 2014, 7(6):838–847 (Ref [49])

b, cRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics)

ddbSNP version 139: GRCh37.p10

Fig. 4

Lipid-associated SCARB1 common variants and haplotype regions identified in US Non-Hispanic Whites (previous study; Ref [49]) and African Blacks (this study). Lipid-associated variants with MAF ≥5 % with P-values <0.05 and haplotype regions with global P-values < 0.05 that were previously identified in US Non-Hispanic Whites (US NHWs; n = 623) are shown in top panel and those identified in African Blacks (n = 788) are shown in bottom panel (see details in Table 9 and Table 10). SCARB1 variants and haplotype regions are shown on SCARB1 gene (5′ → 3′; RefSeq: hg19, NM_005505). All SNP IDs are based on dbSNP build 139. Regions I and II that are defined based on consecutive haplotype windows with evidence of lipid-association in US NHWs (global P < 0.05; see details in Ref [49]) also show some significant associations in African Blacks (global P < 0.05; see details in Table 7 and Table 8). ApoA-I, apolipoprotein A-I; ApoB, apolipoprotein B; HDL-C, high-density lipoprotein cholesterol; MAF, minor allele frequency; NHW, Non-Hispanic White; SNP, single nucleotide polymorphism; UTR, untranslated region

Results for 7 SCARB1 lipid-associated variants in US Non-Hispanic Whites (previous studya) and in African Blacks (this study) ApoB apolipoprotein B, HDL-C high-density lipoprotein cholesterol, MA minor allele, MAF minor allele frequency, RegDB RegulomeDB, SE standard error, SNP single nucleotide polymorphism All alleles on the reverse strand HDL-C and ApoB values for US Non-Hispanic Whites were in mg/dL, Box-Cox transformed, and adjusted for covariates: sex, age, body mass index, and smoking (past/current/never) for HDL-C; age and smoking for ApoB HDL-C and ApoB values for African Blacks were in mg/dL, Box-Cox transformed, and adjusted for covariates: sex, age, waist, current smoking (yes/no), and daily walking or biking to work (jobmin) for HDL-C; body mass index and staff status for ApoB Nominally significant P-values (P < 0.05) are shown in bold aData from Niemsiri V, et al. Circ Cardiovasc Genet 2014, 7(6):838–847 (Ref [49]) b, dRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics) cdbSNP version 139: GRCh37.p10 eThe RegulomeDB (version 1.0) scoring scheme is described at the footnote of Additional file 17: Table S12 or at http://regulome.stanford.edu/help fEvidence is based on SNPs with MAF ≥5 % exhibiting nominally significant association with either HDL-C or ApoA-I (P < 0.05; Additional file 14: Table S9 and Additional file 15: Table S10) in single-site association results in the current study Significant lipid-associated regions (global P < 0.05) that were observed in US Non-Hispanic Whites (previous studya) and African Blacks (this study) ApoA-I apolipoprotein A-I, ApoB apolipoprotein B, del/D deletion, HDL-C high-density lipoprotein cholesterol, SNP single nucleotide polymorphism, UTR untranslated region, W wild type allele for deletion on RefSeq All alleles on the reverse strand Results for a US Non-Hispanic White sample were Box-Cox transformed, and adjusted for covariates: sex, age, body mass index, and smoking (past/current/never) for HDL-C; age and smoking for ApoB Results for an African Black sample were Box-Cox transformed, and adjusted for covariates: sex, age, waist, current smoking (yes/no), and minutes of walking or biking to work each day (jobmin) for HDL-C; sex and age for ApoA-I Location of each region on SCARB1 gene is shown in Fig. 4 SNPs with significant evidence with the same trait in both single-site and haplotype associations (single-site P and global P < 0.05) observed in each population are shown in bold SNPs with significant evidence with the different trait in single-site and haplotype associations (single-site P and global P < 0.05) in each population are shown in aData from Niemsiri V, et al. Circ Cardiovasc Genet 2014, 7(6):838–847 (Ref [49]) b, cRefSeq of SCARB1: hg19, NM_005505 (CHIP Bioinformatics) ddbSNP version 139: GRCh37.p10 Lipid-associated SCARB1 common variants and haplotype regions identified in US Non-Hispanic Whites (previous study; Ref [49]) and African Blacks (this study). Lipid-associated variants with MAF ≥5 % with P-values <0.05 and haplotype regions with global P-values < 0.05 that were previously identified in US Non-Hispanic Whites (US NHWs; n = 623) are shown in top panel and those identified in African Blacks (n = 788) are shown in bottom panel (see details in Table 9 and Table 10). SCARB1 variants and haplotype regions are shown on SCARB1 gene (5′ → 3′; RefSeq: hg19, NM_005505). All SNP IDs are based on dbSNP build 139. Regions I and II that are defined based on consecutive haplotype windows with evidence of lipid-association in US NHWs (global P < 0.05; see details in Ref [49]) also show some significant associations in African Blacks (global P < 0.05; see details in Table 7 and Table 8). ApoA-I, apolipoprotein A-I; ApoB, apolipoprotein B; HDL-C, high-density lipoprotein cholesterol; MAF, minor allele frequency; NHW, Non-Hispanic White; SNP, single nucleotide polymorphism; UTR, untranslated region

Discussion

Our sequencing identified 83 variants, of which 78 were selected for follow-up genotyping in the total sample of 788 African Blacks. Additional 69 tagSNPs from the HapMap-YRI data along with two previously reported lipid-associated SCARB1 variants were also genotyped in the total sample. Of 149 genotyped SCARB1 variants, 137 that passed QC were examined for association with major lipid traits (Table 2). The initial gene-based analyses revealed a nominal association with HDL-C (P = 0.0421) as well as a trend for association with ApoA-I (P = 0.1016; Table 3). Consistent with the gene-based results, single-site association analyses also revealed 10 common variants nominally associated (P < 0.05) with HDL-C (n = 5) and/or ApoA-I (n = 8; Table 4 and Fig. 2). The best association signal was between rs11057851 in intron 1 and HDL-C (P = 0.0043, FDR = 0.1465) followed by two associations with ApoA-I including rs7134858 in intron 6 (P = 0.0052, FDR = 0.2918) and rs5888 (p.Ala350Ala) in exon 8 (P = 0.0080, FDR = 0.2918). Moreover, three variants (rs11057851, rs4765615, and rs838895) exhibited evidence of associations (P < 0.05) with both HDL-C and ApoA-I. These findings are supported by the fact that SCARB1 appears to influence ApoA-I in addition to HDL-C [15, 17]. In our data, there was a moderate correlation between ApoA-I and HDL-C levels (r2 = 0.61). Except for previously reported association of rs5888 (p.Ala350Ala) with lipid traits (HDL-C or LDL-C) in non-African populations [30–34, 36, 37, 39], the remaining nine associations observed in this study with the lipid traits (HDL-C and/or ApoA-I levels) in general population are novel and await replication in independent African or African-derived populations. Two of these nine SNPs have previously been shown to have differential effects on cholesterol levels in response to statin (rs4765615) [50] or on HDL-C/TG levels in response to estradiol in post-menopausal women (rs838895) [51]. Another variant (rs838896) was found to be associated with decreased SCARB1 expression in liver [51]. Although the latter SNP was not associated with a low RegulomeDB score (<3), we cannot rule out the possibility that it might be affecting the SCARB1 expression in a tissue-specific manner. The haplotype analysis revealed evidence of significant association (global P < 0.05) of 32 haplotype windows with HDL-C (n = 16) and/or ApoA-I (n = 21; Table 7) and nine regions harboring consecutive overlapping haplotype windows significantly associated with either HDL-C (4 regions) or ApoA-I (5 regions; Table 8 and Fig. 3). In addition, six variants with nominal association (P < 0.05) in single-site analysis were contained in seven of these nine significantly associated regions, indicating the presence of functional variants in these regions. Our findings demonstrate that haplotype analysis may provide more information than single-site analysis. Our comparison of the single-site and haplotype association results between in African Blacks (this study) and US NHWs (previous study [49]) has revealed three variants (rs11057820, rs4765615, and rs701106; Table 9) and two regions (Regions I and II; Table 10 and Fig. 4) showing evidence of lipid-associations in both ethnic groups. However, there were differences in associated traits, and/or associated alleles or their directional effects between the two ethnic groups, which reflects the genetic heterogeneity of complex phenotypes like lipid traits among diverse populations. This phenomenon can be explained by different ancestry backgrounds associated with differences in LD structure and genetic architecture, as well as by differences in SNP-SNP, gene-gene, and gene-environment interactions. Nonetheless, the lipid associations observed across different ethnic populations provide convincing evidence that causal/functional variants are present in SCARB1 gene that deserves comprehensive sequencing and functional studies in order to confirm and further characterize the effects of its variants on lipid metabolism. Rare variant analysis showed significant evidence of association between a group of 23 rare variants (MAF ≤1 %) and HDL-C (P = 0.0478; Table 5). Single-site analysis of these rare variants revealed six (including three novel ones) with effects on HDL-C, of which three also had effects on ApoA-I (Table 6). In addition, four of these six rare variants appeared to be carried by individuals with extreme HDL-C and/or ApoA-I levels (above or under the 3rd percentile). This HDL-C-associated rare variant group also included a novel variant (p70201/chr12:125279319) that was observed in one individual with an unusually high plasma HDL-C level (above the mean + 3.5 SD). Our findings suggest that these rare variants might have functional relevance, thus screening of additional large African samples for these rare variants may help to establish their role in HDL-C and ApoA-I metabolism. To date, there has been limited information concerning possible functional effects of lipid-associated SCARB1 variants, particularly for those located in non-coding regions. In fact, most of common and rare HDL-C/ApoA-I-associated variants observed in the current study are non-coding and do not show strong evidence of regulatory function based on RegulomeDB database. Nonetheless, three of these HDL-C/ApoA-I-associated SCARB1 variants (rs5888 [p.Ala350Ala], rs838885, and rs838886) have been previously demonstrated to influence the SCARB1 expression [51-53]. Therefore, additional functional studies are needed and may help to determine the functional nature of the SCARB1-associated variants and those in LD with them. Our study has revealed a number of novel findings, although we also acknowledge some limitations. SCARB1 is a large gene and we sequenced only its coding regions and exon-intron junctions and also our sequencing sample size was small. Thus, we may have missed some functional LoF/rare variants due to small sample size and those located in uncovered intronic regions. Moreover, consistent with generally small effect sizes of lipid-associated variants reported in the literature, most of our single-site associations reached nominal significance (P < 0.05) but did not survive multiple testing corrections. Only the top variant (rs11057851) associated with HDL-C yielded an FDR cut-off of <0.20 (FDR = 0.1465; Table 4). Therefore, future larger studies in independent African or African-derived populations are necessary to validate all nominal associations observed in this study.

Conclusions

In conclusion, we report the first comprehensive association study of SCARB1 variants with lipid traits in a native African population, which revealed a number of novel associations in single-site and haplotype analyses. In addition, resequencing allowed us to identify 10 novel rare variants, of which four were in the group of 23 rare variants that has showed association with HDL-C levels. The SCARB1 associated common and rare variants observed in our study explained ~11.09 % of the variation in HDL-C levels and ~8.63 % of the variation in ApoA-I levels. Our findings indicate the genetic contribution of SCARB1, both common and LoF/rare variants, to inter-individual lipid variation in the general African Black population, which warrants further follow-up in independent studies. Insights into the HDL-C and related lipid traits may also lead to new potential targets for CHD treatment.
  51 in total

1.  Optimal tests for rare variant effects in sequencing association studies.

Authors:  Seunggeun Lee; Michael C Wu; Xihong Lin
Journal:  Biostatistics       Date:  2012-06-14       Impact factor: 5.899

Review 2.  Cardioprotective functions of HDLs.

Authors:  Kerry-Anne Rye; Philip J Barter
Journal:  J Lipid Res       Date:  2013-06-27       Impact factor: 5.922

3.  Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge.

Authors:  W T Friedewald; R I Levy; D S Fredrickson
Journal:  Clin Chem       Date:  1972-06       Impact factor: 8.327

4.  Adenovirus-mediated hepatic overexpression of scavenger receptor class B type I accelerates chylomicron metabolism in C57BL/6J mice.

Authors:  Ruud Out; Menno Hoekstra; Saskia C A de Jager; Paula de Vos; Deneys R van der Westhuyzen; Nancy R Webb; Miranda Van Eck; Eric A L Biessen; Theo J C Van Berkel
Journal:  J Lipid Res       Date:  2005-03-16       Impact factor: 5.922

Review 5.  Cholesterol efflux and atheroprotection: advancing the concept of reverse cholesterol transport.

Authors:  Robert S Rosenson; H Bryan Brewer; W Sean Davidson; Zahi A Fayad; Valentin Fuster; James Goldstein; Marc Hellerstein; Xian-Cheng Jiang; Michael C Phillips; Daniel J Rader; Alan T Remaley; George H Rothblat; Alan R Tall; Laurent Yvan-Charvet
Journal:  Circulation       Date:  2012-04-17       Impact factor: 29.690

6.  Overexpression of the HDL receptor SR-BI alters plasma HDL and bile cholesterol levels.

Authors:  K F Kozarsky; M H Donahee; A Rigotti; S N Iqbal; E R Edelman; M Krieger
Journal:  Nature       Date:  1997-05-22       Impact factor: 49.962

7.  A targeted mutation in the murine gene encoding the high density lipoprotein (HDL) receptor scavenger receptor class B type I reveals its key role in HDL metabolism.

Authors:  A Rigotti; B L Trigatti; M Penman; H Rayburn; J Herz; M Krieger
Journal:  Proc Natl Acad Sci U S A       Date:  1997-11-11       Impact factor: 11.205

8.  Lower plasma levels and accelerated clearance of high density lipoprotein (HDL) and non-HDL cholesterol in scavenger receptor class B type I transgenic mice.

Authors:  Y Ueda; L Royer; E Gong; J Zhang; P N Cooper; O Francone; E M Rubin
Journal:  J Biol Chem       Date:  1999-03-12       Impact factor: 5.157

9.  Scavenger receptor BI facilitates the metabolism of VLDL lipoproteins in vivo.

Authors:  Miranda Van Eck; Menno Hoekstra; Ruud Out; I Sophie T Bos; J Kar Kruijt; Reeni B Hildebrand; Theo J C Van Berkel
Journal:  J Lipid Res       Date:  2007-10-22       Impact factor: 5.922

10.  Discovery and refinement of loci associated with lipid levels.

Authors:  Cristen J Willer; Ellen M Schmidt; Sebanti Sengupta; Michael Boehnke; Panos Deloukas; Sekar Kathiresan; Karen L Mohlke; Erik Ingelsson; Gonçalo R Abecasis; Gina M Peloso; Stefan Gustafsson; Stavroula Kanoni; Andrea Ganna; Jin Chen; Martin L Buchkovich; Samia Mora; Jacques S Beckmann; Jennifer L Bragg-Gresham; Hsing-Yi Chang; Ayşe Demirkan; Heleen M Den Hertog; Ron Do; Louise A Donnelly; Georg B Ehret; Tõnu Esko; Mary F Feitosa; Teresa Ferreira; Krista Fischer; Pierre Fontanillas; Ross M Fraser; Daniel F Freitag; Deepti Gurdasani; Kauko Heikkilä; Elina Hyppönen; Aaron Isaacs; Anne U Jackson; Åsa Johansson; Toby Johnson; Marika Kaakinen; Johannes Kettunen; Marcus E Kleber; Xiaohui Li; Jian'an Luan; Leo-Pekka Lyytikäinen; Patrik K E Magnusson; Massimo Mangino; Evelin Mihailov; May E Montasser; Martina Müller-Nurasyid; Ilja M Nolte; Jeffrey R O'Connell; Cameron D Palmer; Markus Perola; Ann-Kristin Petersen; Serena Sanna; Richa Saxena; Susan K Service; Sonia Shah; Dmitry Shungin; Carlo Sidore; Ci Song; Rona J Strawbridge; Ida Surakka; Toshiko Tanaka; Tanya M Teslovich; Gudmar Thorleifsson; Evita G Van den Herik; Benjamin F Voight; Kelly A Volcik; Lindsay L Waite; Andrew Wong; Ying Wu; Weihua Zhang; Devin Absher; Gershim Asiki; Inês Barroso; Latonya F Been; Jennifer L Bolton; Lori L Bonnycastle; Paolo Brambilla; Mary S Burnett; Giancarlo Cesana; Maria Dimitriou; Alex S F Doney; Angela Döring; Paul Elliott; Stephen E Epstein; Gudmundur Ingi Eyjolfsson; Bruna Gigante; Mark O Goodarzi; Harald Grallert; Martha L Gravito; Christopher J Groves; Göran Hallmans; Anna-Liisa Hartikainen; Caroline Hayward; Dena Hernandez; Andrew A Hicks; Hilma Holm; Yi-Jen Hung; Thomas Illig; Michelle R Jones; Pontiano Kaleebu; John J P Kastelein; Kay-Tee Khaw; Eric Kim; Norman Klopp; Pirjo Komulainen; Meena Kumari; Claudia Langenberg; Terho Lehtimäki; Shih-Yi Lin; Jaana Lindström; Ruth J F Loos; François Mach; Wendy L McArdle; Christa Meisinger; Braxton D Mitchell; Gabrielle Müller; Ramaiah Nagaraja; Narisu Narisu; Tuomo V M Nieminen; Rebecca N Nsubuga; Isleifur Olafsson; Ken K Ong; Aarno Palotie; Theodore Papamarkou; Cristina Pomilla; Anneli Pouta; Daniel J Rader; Muredach P Reilly; Paul M Ridker; Fernando Rivadeneira; Igor Rudan; Aimo Ruokonen; Nilesh Samani; Hubert Scharnagl; Janet Seeley; Kaisa Silander; Alena Stančáková; Kathleen Stirrups; Amy J Swift; Laurence Tiret; Andre G Uitterlinden; L Joost van Pelt; Sailaja Vedantam; Nicholas Wainwright; Cisca Wijmenga; Sarah H Wild; Gonneke Willemsen; Tom Wilsgaard; James F Wilson; Elizabeth H Young; Jing Hua Zhao; Linda S Adair; Dominique Arveiler; Themistocles L Assimes; Stefania Bandinelli; Franklyn Bennett; Murielle Bochud; Bernhard O Boehm; Dorret I Boomsma; Ingrid B Borecki; Stefan R Bornstein; Pascal Bovet; Michel Burnier; Harry Campbell; Aravinda Chakravarti; John C Chambers; Yii-Der Ida Chen; Francis S Collins; Richard S Cooper; John Danesh; George Dedoussis; Ulf de Faire; Alan B Feranil; Jean Ferrières; Luigi Ferrucci; Nelson B Freimer; Christian Gieger; Leif C Groop; Vilmundur Gudnason; Ulf Gyllensten; Anders Hamsten; Tamara B Harris; Aroon Hingorani; Joel N Hirschhorn; Albert Hofman; G Kees Hovingh; Chao Agnes Hsiung; Steve E Humphries; Steven C Hunt; Kristian Hveem; Carlos Iribarren; Marjo-Riitta Järvelin; Antti Jula; Mika Kähönen; Jaakko Kaprio; Antero Kesäniemi; Mika Kivimaki; Jaspal S Kooner; Peter J Koudstaal; Ronald M Krauss; Diana Kuh; Johanna Kuusisto; Kirsten O Kyvik; Markku Laakso; Timo A Lakka; Lars Lind; Cecilia M Lindgren; Nicholas G Martin; Winfried März; Mark I McCarthy; Colin A McKenzie; Pierre Meneton; Andres Metspalu; Leena Moilanen; Andrew D Morris; Patricia B Munroe; Inger Njølstad; Nancy L Pedersen; Chris Power; Peter P Pramstaller; Jackie F Price; Bruce M Psaty; Thomas Quertermous; Rainer Rauramaa; Danish Saleheen; Veikko Salomaa; Dharambir K Sanghera; Jouko Saramies; Peter E H Schwarz; Wayne H-H Sheu; Alan R Shuldiner; Agneta Siegbahn; Tim D Spector; Kari Stefansson; David P Strachan; Bamidele O Tayo; Elena Tremoli; Jaakko Tuomilehto; Matti Uusitupa; Cornelia M van Duijn; Peter Vollenweider; Lars Wallentin; Nicholas J Wareham; John B Whitfield; Bruce H R Wolffenbuttel; Jose M Ordovas; Eric Boerwinkle; Colin N A Palmer; Unnur Thorsteinsdottir; Daniel I Chasman; Jerome I Rotter; Paul W Franks; Samuli Ripatti; L Adrienne Cupples; Manjinder S Sandhu; Stephen S Rich
Journal:  Nat Genet       Date:  2013-10-06       Impact factor: 38.330

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  9 in total

Review 1.  The genomic landscape of African populations in health and disease.

Authors:  Charles N Rotimi; Amy R Bentley; Ayo P Doumatey; Guanjie Chen; Daniel Shriner; Adebowale Adeyemo
Journal:  Hum Mol Genet       Date:  2017-10-01       Impact factor: 6.150

Review 2.  Scavenger receptor B type 1: expression, molecular regulation, and cholesterol transport function.

Authors:  Wen-Jun Shen; Shailendra Asthana; Fredric B Kraemer; Salman Azhar
Journal:  J Lipid Res       Date:  2018-05-02       Impact factor: 5.922

3.  Sequence-Based Analysis of Lipid-Related Metabolites in a Multiethnic Study.

Authors:  Elena V Feofanova; Bing Yu; Ginger A Metcalf; Xiaoming Liu; Donna Muzny; Jennifer E Below; Lynne E Wagenknecht; Richard A Gibbs; Alanna C Morrison; Eric Boerwinkle
Journal:  Genetics       Date:  2018-04-02       Impact factor: 4.562

4.  Identification of differentially expressed genes in longissimus dorsi muscle between Wei and Yorkshire pigs using RNA sequencing.

Authors:  Jingen Xu; Chonglong Wang; Erhui Jin; Youfang Gu; Shenghe Li; Qinggang Li
Journal:  Genes Genomics       Date:  2017-12-19       Impact factor: 1.839

5.  Identification of leukemia stem cell expression signatures through Monte Carlo feature selection strategy and support vector machine.

Authors:  JiaRui Li; Lin Lu; Yu-Hang Zhang; YaoChen Xu; Min Liu; KaiYan Feng; Lei Chen; XiangYin Kong; Tao Huang; Yu-Dong Cai
Journal:  Cancer Gene Ther       Date:  2019-05-29       Impact factor: 5.987

Review 6.  Genetic determinants of inherited susceptibility to hypercholesterolemia - a comprehensive literature review.

Authors:  C S Paththinige; N D Sirisena; Vhw Dissanayake
Journal:  Lipids Health Dis       Date:  2017-06-02       Impact factor: 3.876

7.  Hepatic lipase (LIPC) sequencing in individuals with extremely high and low high-density lipoprotein cholesterol levels.

Authors:  Dilek Pirim; Clareann H Bunker; John E Hokanson; Richard F Hamman; F Yesim Demirci; M Ilyas Kamboh
Journal:  PLoS One       Date:  2020-12-16       Impact factor: 3.240

8.  Candidate Gene Analysis Reveals Strong Association of CETP Variants With High Density Lipoprotein Cholesterol and PCSK9 Variants With Low Density Lipoprotein Cholesterol in Ghanaian Adults: An AWI-Gen Sub-Study.

Authors:  Godfred Agongo; Lucas Amenga-Etego; Engelbert A Nonterah; Cornelius Debpuur; Ananyo Choudhury; Amy R Bentley; Abraham R Oduro; Charles N Rotimi; Nigel J Crowther; Michèle Ramsay
Journal:  Front Genet       Date:  2020-10-30       Impact factor: 4.599

9.  Investigating the GWAS-Implicated Loci for Rheumatoid Arthritis in the Pakistani Population.

Authors:  Muhammad Muaaz Aslam; Peter John; Kang-Hsien Fan; Attya Bhatti; Wajahat Aziz; Bashir Ahmed; Eleanor Feingold; F Yesim Demirci; M Ilyas Kamboh
Journal:  Dis Markers       Date:  2020-07-31       Impact factor: 3.434

  9 in total

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