Literature DB >> 33103040

Allelic distribution of ABO gene in Chinese centenarians.

Ying Zhu1,2, Yu Liang1, Abdul Haseeb Khan1, Minghua Dong3, Yiqi Wan1, Zhichao Sun1, Yi Zeng4,5, Chao Nie6,7, Xiao-Li Tian1.   

Abstract

OBJECTIVE: Human ABO blood groups are determined by the alleles A, B, and O (O01 and O02) of the ABO gene and have been linked to the risks for cardiovascular diseases and cancers that affect lifespan.We examined the genetic associations of the ABO gene and blood groups with longevity.
METHODS: We inspected the frequencies of the A, B, O, and O02 alleles in a large Chinese centenarian population (n = 2201) and in middle-aged controls (n = 2330). The single nucleotide polymorphisms were selected as allele A (rs507666), B (rs8176743, rs8176746, and rs8176749), O (rs687289), and O02 (rs688976, rs549446, and rs512770).
RESULTS: Supported by allelic and genotypic association studies, the frequencies of blood types A, B, O, and AB in centenarian versus control participants were not statistically different: 0.2821 versus 0.2781 (χ2 = 0.09, P = 0.76), 0.2867 versus 0.3060 (χ2 = 2.03, P = 0.15), 0.3380 versus 0.3159 (χ2 = 2.52, P = 0.11), and 0.0859 versus 0.0910 (χ2 = 0.37, P = 0.54), respectively. Sex had little effect on these distributions.
CONCLUSION: Integrated with other previous reports, we conclude from this large Chinese cohort that genetic variants of the ABO gene and blood groups are not associated with longevity.
© 2020 The Authors. Aging Medicine published by Beijing Hospital and John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  ABO gene; centenarian; longevity; single nucleotide polymorphisms

Year:  2020        PMID: 33103040      PMCID: PMC7574633          DOI: 10.1002/agm2.12122

Source DB:  PubMed          Journal:  Aging Med (Milton)        ISSN: 2475-0360


INTRODUCTION

The ABO blood group system was first reported in 1901, based on the presence of A and/or B antigens on the erythrocytic membrane and no corresponding anti‐A and/or B antibodies in serum. Since then, serological methods have been widely used for blood transfusion in clinical practice. In 1990, Yamamoto cloned the coding cDNA of glycosyltransferase of the A (ABO) gene, allowing for the use of biological materials alternative to the blood sample, such as fingernails, hair, saliva, and oral mucous membranes, in the typology of ABO blood groups. The human ABO gene is located at chromosome 9q34.1‐34.2. The main coding regions lie in exon 6 and exon 7. ABO blood groups are decided by alleles A, B, and O, among which alleles A and B are autosomal dominant. The differences lie in seven nucleotides (c.297A > G, c.526C > G, c.657C > T, c.703G > A, c.796C > A, c.803G > C, and c.930G > A), and allele O is a single nucleotide deletion (c.261delG) resulting in a frameshift and early termination with no active enzyme produced. Allele O is mainly O01 and O02, which differ in nine nucleotides (c.106G > T, c.188G > A, c.189C > T, c.220C > T, c.297A > G, c.646T > A, c.681G > A, c.771C > T, and c.829G > A). , , The alleles A and B encode glycosyltransferase to transfer the glycosylates to H substance, forming A and B antigen on erythrocytic membranes, respectively. With the nonfunctional enzyme, instead of A/B antigen, H antigen is expressed by allele O. ABO phenotypes (commonly referred to as “ABO blood types”) are determined by genotypes, while genotypes A/A and A/O correspond to phenotype A, B/B and B/O to phenotype B, O/O to phenotype O, and A/B to phenotype AB. The ABO blood group system is the most widely used blood group system. It not only plays a role in blood transfusion and transplantation but is also of interest to many researchers for its relation with diseases. For instance, it has been shown that blood type A is a risk factor for gastric cancer , , while blood type O is a protective factor for atherosclerosis. , , Cardiovascular diseases and cancers impact the lifespan significantly. Thus, the association between ABO blood types and human longevity has naturally been evaluated previously. It was reported as early as the 1960s that individuals with type A lived longer. Later, a number of studies reported that type B and O were associated with longer lifespan or longevity phenotypically and genotypically. , , , However, these findings remain debatable. The debate is possibly caused by small population sizes and stratifications as well as the moderate effects of blood type on longevity. To our knowledge, the largest population to test the genetic association of blood types with human longevity consisted of only 269 centenarians. Thus, it has become necessary to evaluate the association of ABO blood groups in large longevity populations. In order to search for factors that influence healthy aging and longevity, we initiated the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in a large Chinese cohort from 1998 to 2014 and carried out genetic screening, leading to the identification of a number of genes associated with human longevity. , , , Among these studies, datasets of the genome‐wide association study that included 2178 centenarians and 2299 middle‐aged controls , were subjected to searches for the genetic associations of the ABO gene and blood groups with longevity.

METHODS

Samples and data source

Sampling, population quality, and genotyping on the cohort have been reported. , , Samples and data from the CLHLS were randomly selected from half of the counties and cities in 22 of the 31 provinces in China, which means the data cover approximately 85% of the total Chinese population. The study included 2201 centenarians, including 570 males and 1631 females, and a regionally matched control group of 2330 middle‐aged individuals, including 793 males and 1537 females.

Selection of single nucleotide polymorphisms for ABO alleles, genotypes, and blood types

Eight single nucleotide polymorphisms (SNPs)—including rs507666 (c.28 + 1179G > A) for allele A; rs8176743 (c.703G > A), rs8176746 (c.796C > A), and rs8176749 (c.930G > A) for allele B; rs687289 (c.99‐329A > G) for allele O; and rs688976 (c.106G > T), rs549446 (c.188G > A), and rs512770 (c.220C > T) for allele O02 , , —were selected for this study. Individuals with the O allele but not the O02 allele were considered for the O01 allele. The frequencies of four alleles (A, B, O, and O02), 10 genotypes (A/A, A/O01, A/O02, B/B, B/O01, B/O02, O01/O01, O01/O02, O02/O02, and A/B), and four blood types (A, B, O, and AB) were evaluated in 4494 individuals. (The identification of the ABO alleles and genotypes are listed in the Supplementary Material).

Statistical analysis

The frequency of each SNP was calculated and used to evaluate its departure from Hardy‐Weinberg equilibrium by a chi‐square test. Differences in allele, genotype, and blood type distribution between cases (centenarians) and controls (middle‐aged individuals) were analyzed using binary logistic regression adjusted for nongenetic covariates under various genetic models. Sex was also analyzed separately. The chi‐square test was performed using GraphPad Prism (Version 8.4.2). A Bonferroni method was used for multiple comparison correction. The chi‐square values, odds ratios (ORs), 95% confidence intervals (CIs), and P values were presented for all association tests. A P value < 0.05 was considered to be statistically significant.

Meta‐analysis

Search strategy

We performed a systematic literature search using PubMed, ScienceDirect, Wiley, Oxford Academic, Web of Science, and SinoMed for studies reporting the association between ABO blood groups and longevity, including relevant articles and reviews (up to April 2020). Only studies published in English were considered. Two search themes were combined using the Boolean operator “AND”; the first theme was “ABO AND longevity,” and the second theme was “ABO AND lifespan.”

Selection criteria

The literature eligibility was evaluated by two investigators (Y. Z. and A. H. K.) independently, and disagreements were resolved by another investigator (Y. L.). Articles were included if: (a) the authors had presented an original, peer‐reviewed study (eg, not a meeting report); (b) the study was a case‐control study or a cohort study; (c) age over 90 years was considered as the case group; (d) the authors had provided ORs and 95% CIs for A versus non‐A, B versus non‐B, O versus non‐O, and AB versus non‐AB, or enough data to calculate them. If there was overlap among the data, we chose the report with more extensive coverage.

Data extraction and study quality assessment

The following information was extracted from the selected studies: the first author’s name, publication year, country, exposure measures, number of participants, case numbers, and control numbers. The quality of the studies was assessed with the Newcastle‐Ottawa Scale (NOS). With a score ranging from 0 to 9, a score ≥7 indicated a high‐quality study.

Data synthesis

Heterogeneity test was conducted before meta‐analysis. Cochran Q and I 2 statistics were used to evaluate heterogeneity. An I 2 > 50% was considered to have severe heterogeneity. If I 2 > 50%, a random effect model was used to combine study individual effect estimates accounting for heterogeneity. Otherwise, the fixed‐effect model was selected. A comprehensive meta‐analysis was performed (Stata 14.0) to analyze the overall ORs and 95% CIs for the association between ABO blood types and longevity.

RESULTS

Allelic association analysis

To determine the ABO allelic association with longevity, eight SNPs (rs507666 for allele A; rs8176743, rs8176746, and rs8176749 for allele B; rs687289 for allele O; and rs688976, rs549446, and rs512770 for O02) were selected. There was no significant deviation for eight tagging SNPs of the ABO gene in the Hardy‐Weinberg equilibrium test for either the case or control groups. Allele frequencies of the ABO gene in centenarians and middle‐aged controls were evaluated in the total population as well as in sex‐classified populations (Supplementary Material). No significant difference was found in ABO allele distributions in centenarians compared to middle‐aged controls regardless of sex (Table 1).
Table 1

The frequencies of ABO alleles

AlleleSNPGroupCNCFMNMFχ2 OR95% CI P value
A rs507666Total9020.20499800.21030.400.970.87‐1.070.53
Male2230.19563560.22453.300.840.70‐1.010.07
Female6790.20826240.20300.261.030.91‐1.170.61
B rs8176743Total8990.204210160.21802.590.920.83‐1.020.11
Male2410.21143410.21500.050.980.81‐1.180.82
Female6580.20176750.21963.040.900.80‐1.010.08
B rs8176746Total9180.208510390.22302.780.920.83‐1.020.10
Male2440.21403450.21750.050.980.81‐1.180.83
Female6740.20666940.22583.430.890.79‐1.010.06
B rs8176749Total9160.208110320.22152.400.920.84‐1.020.12
Male2440.21403440.21690.030.980.82‐1.180.86
Female6720.20606880.22382.980.900.80‐1.010.08
O rs687289Total25760.585226460.56782.801.070.99‐1.170.09
Male6740.59128880.55992.661.140.97‐1.330.10
Female19020.583117580.57190.811.050.96‐1.160.37
O02 rs512770Total11030.250611560.24810.081.010.46‐1.250.78
Male2940.25793810.24021.111.100.92‐1.310.29
Female8090.24807750.25210.140.980.87‐1.100.71
O02 rs688976Total11030.250611560.24810.081.010.46‐1.250.78
Male2940.25793820.24091.031.100.92‐1.310.31
Female8090.24807740.25180.120.980.87‐1.100.73
O02 rs549446Total11040.250811570.24830.081.010.46‐1.120.78
Male2940.25793830.24150.961.090.92‐1.300.33
Female8100.24837740.25180.100.980.88‐1.100.75

Abbreviations: CF, frequency in centenarians; CI, confidence interval; CN, number of centenarians; MF, frequency in middle‐aged controls; MN, number of middle‐aged controls; OR, odds ratio; SNP, single nucleotide polymorphism.

The frequencies of ABO alleles Abbreviations: CF, frequency in centenarians; CI, confidence interval; CN, number of centenarians; MF, frequency in middle‐aged controls; MN, number of middle‐aged controls; OR, odds ratio; SNP, single nucleotide polymorphism.

Genotypic association analysis

A comprehensive analysis of these eight SNPs was executed to determine the ABO genotypic association with longevity. We divided ABO genotypes into 10 groups (A/A, A/O01, A/O02, B/B, B/O01, B/O02, O01/O01, O01/O02, O02/O02, and A/B), and calculated their frequencies separately. The results suggested no significant difference in ABO genotypes in centenarians compared to middle‐aged controls after Bonferroni correction regardless of the sex (Table 2).
Table 2

The frequencies of ABO genotypes

GenotypeGroupCNCFMNMFχ2 OR95% CI P value P corr
A/A Total870.03951050.04510.860.870.65‐1.170.36NT
Male190.0333420.05302.990.620.36‐1.070.08NT
Female680.0417630.04100.011.020.72‐1.460.92NT
A/O01 Total2900.13183130.13430.070.980.82‐1.160.80NT
Male720.12631080.13620.280.920.67‐1.250.60NT
Female2180.13372050.13340.001.000.82‐1.230.97NT
A/O02 Total2440.11092300.09871.781.130.94‐1.380.18NT
Male610.1070850.10720.001.000.71‐1.401.00NT
Female1830.11221450.09432.721.210.96‐1.530.10NT
B/B Total930.04231070.04590.360.920.69‐1.220.55NT
Male260.0456440.05550.660.810.50‐1.330.42NT
Female670.0411630.04100.001.000.70‐1.411.00NT
B/O01 Total3190.14493290.14120.131.030.87‐1.220.72NT
Male850.14911020.12861.181.190.87‐1.620.28NT
Female2340.14352270.14770.110.970.79‐1.180.74NT
B/O02 Total2190.09952770.11894.360.820.68‐0.990.04
Male560.0982810.10210.060.960.66‐1.380.81NT
Female1630.09991960.12755.990.760.61‐0.950.01
O01/O01 Total2460.11182360.10131.311.120.92‐1.340.25NT
Male680.1193880.11100.231.080.78‐1.520.63NT
Female1780.10911480.09631.411.150.91‐1.450.23NT
O01/O02 Total3600.16363570.15320.911.080.92‐1.270.34NT
Male850.14911100.13870.291.090.80‐1.470.59NT
Female2750.16862470.16070.361.060.88‐1.280.55NT
O02/O02 Total1380.06271430.06140.031.020.80‐1.300.85NT
Male450.0789510.06431.091.250.82‐1.870.30NT
Female930.0570920.05990.120.950.70‐1.280.73NT
A/B Total1890.08592120.09100.370.940.76‐1.150.54NT
Male490.0860710.08950.050.960.66‐1.390.82NT
Female1400.08581410.09170.340.930.73‐1.180.56NT

Abbreviations: CF, frequency in centenarians; CI, confidence interval; CN, number of centenarians; MF, frequency in middle‐aged controls; MN, number of middle‐aged controls; NT, not tested; OR, odds ratio; P corr, P value after Bonferroni correction.

The frequencies of ABO genotypes Abbreviations: CF, frequency in centenarians; CI, confidence interval; CN, number of centenarians; MF, frequency in middle‐aged controls; MN, number of middle‐aged controls; NT, not tested; OR, odds ratio; P corr, P value after Bonferroni correction.

Phenotypic association analysis

We incorporated genotypes that represent the same phenotypes—that is, genotypes A/A, A/O01, and A/O02 for blood type A; genotypes B/B, B/O01, and B/O02 for blood type B; genotypes O01/O01, O01/O02, and O02/O02 for blood type O; and genotype A/B for blood type AB—to determine the association between ABO blood types and longevity. According to the results from the chi‐square test, no significant difference was found in centenarians compared to middle‐aged controls in ABO blood types after Bonferroni correction regardless of the sex (Table 3).
Table 3

The frequencies of ABO blood types

Blood typeGroupCNCFMNMFχ2 OR95% CI P value P corr
ATotal6210.28216480.27810.091.020.90‐1.160.76NT
Male1520.26672350.29631.440.860.68‐1.100.23NT
Female4690.28764130.26871.401.100.94‐1.280.24NT
BTotal6310.28677130.30602.030.910.80‐1.040.15NT
Male1670.29302270.28630.071.030.82‐1.310.79NT
Female4640.28454860.31623.790.860.74‐1.000.05
OTotal7440.33807360.31592.521.110.98‐1.250.11NT
Male1980.34742490.31401.681.160.93‐1.460.20NT
Female5460.33484870.31691.161.090.93‐1.260.28NT
ABTotal1890.08592120.09100.370.940.76‐1.150.54NT
Male490.0860710.08950.050.960.66‐1.390.82NT
Female1400.08581410.09170.340.930.73‐1.180.56NT

Abbreviations: CF, frequency in centenarians; CI, confidence interval; CN, number of centenarians; MF, frequency in middle‐aged controls; MN, number of middle‐aged controls; NT, not tested; OR, odds ratio; P corr, P value after Bonferroni correction.

The frequencies of ABO blood types Abbreviations: CF, frequency in centenarians; CI, confidence interval; CN, number of centenarians; MF, frequency in middle‐aged controls; MN, number of middle‐aged controls; NT, not tested; OR, odds ratio; P corr, P value after Bonferroni correction. To compare our findings with the previously published studies, we performed a meta‐analysis.

Literature search

Using the search strategy, 3987 citations were identified. After screening based on titles and abstracts, 22 citations remained for further full‐text review. Finally, based on the selection criteria, only five studies were included , , , , (Figure 1).
Figure 1

Flowchart representing the study selection process for the meta‐analysis.

Flowchart representing the study selection process for the meta‐analysis. All of these five articles were case‐control studies with an NOS score ≥ 7. One study only analyzed blood type O and non‐O. First author name, publication year, country, exposure measures, number of centenarians, case numbers, control numbers, and NOS scores are listed in Table 4. Data from the current study are also listed.
Table 4

Characteristics, ABO blood types distribution, and NOS scores of included studies

First Author, YRef. Sturgeon, 1969 30 Coppola, 2003 31 Shimizu, 2004 16 Mengoli, 2015 32 Franchini, 2016 18 Current study, 2020
CountryTurkeyItalyJapanItalyItalyChina
Exposure measuresSerological methodsBlood testBlood testElectronic clinical recordsStandard micro‐column agglutination technologyGenotyping by SNPs
Number of centenarians50742692521652201
A/non‐ACases22/2892/177108/14455/110621/1580
Controls47/632759/43942145/28802086/2977648/1682
B/non‐BCases11/3979/19022/23014/151631/1570
Controls20/901570/5583575/4450541/4522713/1617
O/non‐OCases11/3932/4276/193110/14293/72744/1457
Controls37/7339/712153/50002087/29382201/2862736/1594
AB/non‐ABCases6/4422/24712/2403/162189/2012
Controls6/104671/6482218/4807235/4828212/2118
NOS788878

Abbreviations: NOS, Newcastle‐Ottawa Scale; SNPs, single nucleotide polymorphisms.

Characteristics, ABO blood types distribution, and NOS scores of included studies Abbreviations: NOS, Newcastle‐Ottawa Scale; SNPs, single nucleotide polymorphisms.

Association between ABO blood types and longevity by meta‐analysis

Since I 2 > 50% in blood type B versus non‐B and O versus non‐O groups, the random effect model was used. For blood type A versus non‐A and AB versus non‐AB, the fixed‐effect model was used. No statistically significant difference between ABO blood types and longevity was shown by forest plots (Figure 2).
Figure 2

Forest plots of ABO blood types and longevity: (A) blood type A and longevity, (B) blood type B and longevity, (C) blood type O and longevity, (D) blood type AB and longevity.

Forest plots of ABO blood types and longevity: (A) blood type A and longevity, (B) blood type B and longevity, (C) blood type O and longevity, (D) blood type AB and longevity.

DISCUSSION

In this study, we evaluated the association of ABO alleles, genotypes, and blood types with longevity in our large Chinese centenarian population as well as in previously published datasets and found that genetic variants of ABO genes are not associated with the human longevity trait. Longevity is a complex trait that is affected by both genetic and environmental factors, including diseases and personalities. , , , Over the past decades, huge efforts have been made to evaluate the genetic contribution to human longevity, leading to the identification of several genes or loci associated with centenarians or exceptionally long‐lived individuals through a candidate gene approach or genome‐wide association study. , , , , Human ABO blood groups are genetically determined and have been shown to influence diseases and personalities ; therefore, they could possibly influence lifespan, including longevity. Our study does not support the genetic association of ABO alleles with human longevity, as no statistical differences were found between centenarians and middle‐aged controls even without multiple comparison correction, which is in agreement with the previous studies. , Our meta‐analysis showed a consistent conclusion. We carefully reviewed the studies that had previously reported a positive association between ABO blood groups and longevity. , , , , As listed in Table 5, small sample size and statement for longevity are two common problems, which are critical influencers for population‐based studies as the population is heterogeneous and stratified by many hidden or unnoticed factors. In this view, a larger population should produce a more robust statistical estimation. In this study, 2201 centenarians and 2330 regionally matched middle‐aged individuals as controls were included, presenting the largest population ever for estimating the association between ABO and longevity and providing sufficient statistical power for the statement.
Table 5

Summary of longevity with ABO blood group association

First author, YearRef. Population sourceCase number/Mean age (y)Control number/Mean age (y) P valueConclusion
Murray, 1961 15 United Kingdom281/71.7352/75.8<0.025A decrease in blood group O and an increase in group A in the healthy group compared with the geriatric group.
Sturgeon, 1969 30 Turkey50/105110/36>0.05No association between ABO blood groups and longevity was found.
Shimizu, 2004 16 Japan269/101.27153/54.80.04Blood type B individuals might live longer.
Vasto, 2011 20 Italy38/(100‐107)59/(45‐65)>0.05No association between ABO blood groups and longevity was found.
Brecher and Hay, 2011 17 United States772 death patients/(0‐97)<0.01Instead of a marker for longevity, blood type B might be a marker for earlier death.
Summary of longevity with ABO blood group association The current study does not debate the association between ABO blood groups and specific diseases and risks, such as myocardial infarction and coronary artery disease, , , ischemic stroke, or cancers, , as previously reported (Table 6). Centenarians represent a model of human healthy aging in contrast to those who suffer from diseases or even death after middle age. That ABO genotypes are associated with diseases, even life‐threatening diseases, but not with longevity may imply a notion that disease and longevity are two biological processes with distinct pathways. On the other hand, the two biological processes also share some common pathways. For example, we have shown in our previous study that immune response and inflammation, mitogen‐activated protein kinase, sucrose, and xenobiotic metabolism significantly contribute to longevity, but these have also been linked to various diseases and the aging process. Longevity is a multifactorial and polygenic trait, and it has a group of influencers, including risks and diseases, which are intermediate phenotypes that contribute to the longevity trait in a more complicated way than expected.
Table 6

Summary of subjects with ABO allelic and/or genotypic association

First author, YearRef. MethodAssociated allele or genotypeSubjectPopulation sourceCase number/Mean age (y) P valueConclusion
Barbalic, 2010 41 GWAS A1 sICAM‐1ARIC,a CHS,b FHS,c RSd 829/55.8,a 6845/49.4,b 600/>70.3,c 1487/72.8d 9.9E‐07Both sP‐selectin and sICAM‐1 were associated with A1 allele of ABO blood group (negative correlation).
Barbalic, 2010 41 GWAS A1 sP‐selectinARIC,a FHS,c RSd 673/56.6,a 3036/>61.0,c 406/69.4d 1.8E‐11
de Paula Sabino, 2014 42 Case study O01 ISHUUH86/36<0.001 O01 allele was an independent variable for IS patients.
Tirado, 2005 44 Case study A1 and non‐OVTETHU250/47.6<0.001Non‐O blood groups, especially with A1 allele, were independent risk factors for VTE.
Nakao, 2011 9 Case studyAllele A and B, genotype A/A, A/B, A/O, O/O, B/O, B/B GCACCH703/(20‐79) A1: <0.001, B: 0.071Allele A and B were associated with increased and decreased risk of GC, respectively, and the ABO genotypic rank of GC was: A/A > A/B > A/O > O/O > B/O > B/B.
Souto, 2000 45 Combined linkage and association test O/O and non‐O/O vWF and FVIIIGAIT Project397/37.7vWF:1E‐7, FVIII: 8.2E‐6 ABO locus had a functional effect on vWF and factor VIII. The rank of vWF and FVIII levels in ABO genotypes was: A/B > A/A > A/O > B/O > O/O.
Melzer, 2008 46 GWAS O/O and non‐O/O TNF‐alphaInCHIANTI1200/68.46.80E‐40An assay‐specific association appeared between ABO blood group and TNF‐alpha levels.
Paterson, 2009 47 GWAS O/O and non‐O/O sE‐selectinDCCT and EDIC685/51.83.7E‐29 ABO was a major locus for sE‐selectin levels. The rank of sE‐selectin level in ABO genotypes was: O/OA2/O > B/OB/B > A2/B > A1/BA1/O > A1/A2 > A1/A1.
Antwi, 2018 43 Pooled analysis O/O and non‐O/O PCPanC4,e PanScanf 2414/65.1,e 1268/67.2f  < 0.0001,e 0.002f Genotype‐derived non‐O blood type was associated with increased pancreatic cancer risk.

Abbreviations: ACCH, Aichi Cancer Center Hospital (Nagoya, Japan); ARIC, Atherosclerosis Risk in Communities; CHS, Cardiovascular Health Study; DCCT, Diabetes Control and Complications Trial; EDIC, Epidemiology of Diabetes Intervention and Complications; FHS, Framingham Heart Study; FVIII, factor VIII; GAIT, Genetic Analysis of Idiopathic Thrombophilia; GC, gastric cancer; GWAS, genome‐wide association study; HUUH, Hematology Unit of the University Hospital (Federal University of Minas Gerais, Belo Horizonte MG); InCHIANTI, A population‐based study of persons living in the Chianti geographic area (Tuscany, Italy); IS, ischemic stroke; PanC4, Pancreatic Cancer Case‐Control Consortium; PanScan, Pancreatic Cancer Cohort Consortium; PC, pancreatic cancer; RS, Rotterdam Study; sE‐selectin, soluble E‐selectin; sICAM‐1, soluble intercellular adhesion molecule‐1; sP‐selectin, soluble P‐selectin; THU, thrombosis and hemostasis units from local hospitals (Spain); TNF‐alpha, tumor necrosis factor‐alpha; VTE, venous thromboembolism; vWF, von Willebrand factor. The superscript symbols a‐f in the Population source column correspond to those in the next column.

Summary of subjects with ABO allelic and/or genotypic association Abbreviations: ACCH, Aichi Cancer Center Hospital (Nagoya, Japan); ARIC, Atherosclerosis Risk in Communities; CHS, Cardiovascular Health Study; DCCT, Diabetes Control and Complications Trial; EDIC, Epidemiology of Diabetes Intervention and Complications; FHS, Framingham Heart Study; FVIII, factor VIII; GAIT, Genetic Analysis of Idiopathic Thrombophilia; GC, gastric cancer; GWAS, genome‐wide association study; HUUH, Hematology Unit of the University Hospital (Federal University of Minas Gerais, Belo Horizonte MG); InCHIANTI, A population‐based study of persons living in the Chianti geographic area (Tuscany, Italy); IS, ischemic stroke; PanC4, Pancreatic Cancer Case‐Control Consortium; PanScan, Pancreatic Cancer Cohort Consortium; PC, pancreatic cancer; RS, Rotterdam Study; sE‐selectin, soluble E‐selectin; sICAM‐1, soluble intercellular adhesion molecule‐1; sP‐selectin, soluble P‐selectin; THU, thrombosis and hemostasis units from local hospitals (Spain); TNF‐alpha, tumor necrosis factor‐alpha; VTE, venous thromboembolism; vWF, von Willebrand factor. The superscript symbols a‐f in the Population source column correspond to those in the next column. Since all of our subjects are Han Chinese, our study has a population limitation. It is necessary to validate our findings in other populations. In summary, our study shows that genetic variants of the ABO gene are not associated with the human longevity trait.

AUTHOR CONTRIBUTIONS

Conceptualization, resources, supervision, and funding acquisition for this study: Xiao‐Li Tian; data analyses: Ying Zhu, Yiqi Wan, Yu Liang, Minghua Dong, and Zhichao Sun; writing: Ying Zhu (original draft), Xiao‐Li Tian and Abdul Haseeb Khan (revised manuscript); genome‐wide association study of Chinese centenarians: Yi Zeng, Chao Nie, and Xiao‐Li Tian. CONFLICTS OF INTEREST Nothing to disclose. Supplementary Material Click here for additional data file.
  45 in total

1.  A relationship between cancer of stomach and the ABO blood groups.

Authors:  I AIRD; H H BENTALL; J A F ROBERTS
Journal:  Br Med J       Date:  1953-04-11

2.  Effects of FOXO genotypes on longevity: a biodemographic analysis.

Authors:  Yi Zeng; Lingguo Cheng; Huashuai Chen; Huiqing Cao; Elizabeth R Hauser; Yuzhi Liu; Zhenyu Xiao; Qihua Tan; Xiao-Li Tian; James W Vaupel
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2010-09-30       Impact factor: 6.053

3.  Blood group distribution and life-expectancy: a single-centre experience.

Authors:  Carlo Mengoli; Carlo Bonfanti; Chiara Rossi; Massimo Franchini
Journal:  Blood Transfus       Date:  2014-10-29       Impact factor: 3.443

4.  Large-scale genomic studies reveal central role of ABO in sP-selectin and sICAM-1 levels.

Authors:  Maja Barbalic; Josée Dupuis; Abbas Dehghan; Joshua C Bis; Ron C Hoogeveen; Renate B Schnabel; Vijay Nambi; Monique Bretler; Nicholas L Smith; Annette Peters; Chen Lu; Russell P Tracy; Nena Aleksic; Jan Heeriga; John F Keaney; Kenneth Rice; Gregory Y H Lip; Ramachandran S Vasan; Nicole L Glazer; Martin G Larson; Andre G Uitterlinden; Jennifer Yamamoto; Peter Durda; Talin Haritunians; Bruce M Psaty; Eric Boerwinkle; Albert Hofman; Wolfgang Koenig; Nancy S Jenny; Jacqueline C Witteman; Christie Ballantyne; Emelia J Benjamin
Journal:  Hum Mol Genet       Date:  2010-02-18       Impact factor: 6.150

5.  BGMUT: NCBI dbRBC database of allelic variations of genes encoding antigens of blood group systems.

Authors:  Santosh Kumar Patnaik; Wolfgang Helmberg; Olga O Blumenfeld
Journal:  Nucleic Acids Res       Date:  2011-11-13       Impact factor: 16.971

6.  Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders.

Authors:  Ada Hamosh; Alan F Scott; Joanna S Amberger; Carol A Bocchini; Victor A McKusick
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

7.  ABO Blood Type and Personality Traits in Healthy Japanese Subjects.

Authors:  Shoko Tsuchimine; Junji Saruwatari; Ayako Kaneda; Norio Yasui-Furukori
Journal:  PLoS One       Date:  2015-05-15       Impact factor: 3.240

8.  Interactions between social/ behavioral factors and ADRB2 genotypes may be associated with health at advanced ages in China.

Authors:  Yi Zeng; Lingguo Cheng; Ling Zhao; Qihua Tan; Qiushi Feng; Huashuai Chen; Ke Shen; Jianxin Li; Fengyu Zhang; Huiqing Cao; Simon G Gregory; Ze Yang; Jun Gu; Wei Tao; Xiao-Li Tian; Elizabeth R Hauser
Journal:  BMC Geriatr       Date:  2013-09-09       Impact factor: 3.921

9.  Novel loci and pathways significantly associated with longevity.

Authors:  Yi Zeng; Chao Nie; Junxia Min; Xiaomin Liu; Mengmeng Li; Huashuai Chen; Hanshi Xu; Mingbang Wang; Ting Ni; Yang Li; Han Yan; Jin-Pei Zhang; Chun Song; Li-Qing Chi; Han-Ming Wang; Jie Dong; Gu-Yan Zheng; Li Lin; Feng Qian; Yanwei Qi; Xiao Liu; Hongzhi Cao; Yinghao Wang; Lijuan Zhang; Zhaochun Li; Yufeng Zhou; Yan Wang; Jiehua Lu; Jianxin Li; Ming Qi; Lars Bolund; Anatoliy Yashin; Kenneth C Land; Simon Gregory; Ze Yang; William Gottschalk; Wei Tao; Jian Wang; Jun Wang; Xun Xu; Harold Bae; Marianne Nygaard; Lene Christiansen; Kaare Christensen; Claudio Franceschi; Michael W Lutz; Jun Gu; Qihua Tan; Thomas Perls; Paola Sebastiani; Joris Deelen; Eline Slagboom; Elizabeth Hauser; Huji Xu; Xiao-Li Tian; Huanming Yang; James W Vaupel
Journal:  Sci Rep       Date:  2016-02-25       Impact factor: 4.379

10.  A genome-wide association study identifies protein quantitative trait loci (pQTLs).

Authors:  David Melzer; John R B Perry; Dena Hernandez; Anna-Maria Corsi; Kara Stevens; Ian Rafferty; Fulvio Lauretani; Anna Murray; J Raphael Gibbs; Giuseppe Paolisso; Sajjad Rafiq; Javier Simon-Sanchez; Hana Lango; Sonja Scholz; Michael N Weedon; Sampath Arepalli; Neil Rice; Nicole Washecka; Alison Hurst; Angela Britton; William Henley; Joyce van de Leemput; Rongling Li; Anne B Newman; Greg Tranah; Tamara Harris; Vijay Panicker; Colin Dayan; Amanda Bennett; Mark I McCarthy; Aimo Ruokonen; Marjo-Riitta Jarvelin; Jack Guralnik; Stefania Bandinelli; Timothy M Frayling; Andrew Singleton; Luigi Ferrucci
Journal:  PLoS Genet       Date:  2008-05-09       Impact factor: 5.917

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