Literature DB >> 29069794

Association between MPHOSPH6 gene polymorphisms and IgA nephropathy risk in a Chinese Han population.

Xiaohong Yang1, Yin Zhang1, Wenning Li1, Yan Su1, Dan Niu2, Yanni Wang1, Haiyang Huang3, Hui Han1, Daofa Zhang1, Maowei Xie1, Huiluan Su1, Wentan Xu1, Jiali Wei1.   

Abstract

Multiple genetic and environmental factors together contribute to the risk of IgA nephropathy (IgAN). MPHOSPH6 play an important role in the recruitment of the exosome to the pre-rRNA. However, to date, little information is found about the association between MPHOSPH6 polymorphisms and the IgAN risk. In this case-control study, we genotyped five single nucleotide polymorphisms (SNPs) in MPHOSPH6 gene in 416 IgAN cases and 495 controls using Sequenom Mass-ARRAY technology and evaluated their association with IgAN using the χ2 and genetic model analysis. In the allelic model analysis, we determined rs1056654 was associated with a 0.774-fold decrease in the risk of IgAN (95%CI= 0.630-0.952; p = 0.015). In the genetic model analysis, we found that the "C/C" genotype of rs1056675 was associated with an increased risk of IgAN based on the codominant model (OR =1.48; 95% CI=1.03-2.13; p=0.033) and recessive model (OR =1.52; 95% CI=1.11-2.09; p=0.0095). The "G/A-A/A" genotype of rs1056654 was associated with a decreased risk of IgAN based on the dominant model (OR =0.75; 95% CI=0.58-0.98; p=0.032) and log-additvie model (OR =0.78; 95% CI=0.64-0.96; p=0.0188). Our data suggested that gene polymorphisms in the MPHOSPH6 may exert influences IgAN susceptibility in a Chinese Han population.

Entities:  

Keywords:  IgA nephropathy (IgAN); MPHOSPH6; association study; single nucleotide polymorphisms (SNPs)

Year:  2017        PMID: 29069794      PMCID: PMC5641137          DOI: 10.18632/oncotarget.19758

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

IgA nephropathy (IgAN) is the most common type of primary glomerulonephritis [1], and more than 40% of IgAN patients will eventually worsen to end stage renal disease [2]. However, the prevalence of IgAN is significantly different among ethnicities. It is most common in individuals of Asian ancestry, with a very high prevalence of 3.7% [3], but is rare among Africans [4] and is of intermediate prevalence among Europeans (up to 1.3%) [5]. It has been widely accepted that multiple genetic and environmental factors together contribute to the risk of IgAN. In the past decades, several genome-wide association studies (GWAS) have linked a plenty variety of genetic abnormality in the onset and development of IgAN. Among them, complement factor H related 1 and 3 (CFHR1, CFHR3) [6], tumor necrosis factor (TNFSF13) [7] and a-defensin (DEFA), major histocompatibility complex (MHC) [8] genes polymorphisms were the most common susceptibility genes with the risk of IgAN. Recently, microRNAs such as miR-148b [9], miR-n-9 [10] were associated with the development of IgAN. These results remind us that study the polymorphisms of genes involving in formation of RNA may provide us a better understanding of IgAN. It has been demonstrated that MPHOSPH6 play an important role in the recruitment of the exosome to the pre-rRNA [11]. MPHOSPH6 also might be involved in regulating shrimp cell cycle and ovary development [12]. However, to date, little information is found about the association between MPHOSPH6 polymorphisms and the risk of IgAN. In the present study, we selected five single nucleotide polymorphisms (SNPs) of MPHOSPH6 to investigate the association between MPHOSPH6 polymorphisms and the risk of IgAN in a Chinese Han population.

RESULTS

A total of 416 IgAN cases (271 men and 145 women; mean age, 33.35 ±12.13 years) and 495 controls (180 men and 315 women; mean age, 54.48 ±9.44 years) were included in the study. The basic characteristics of the cases and controls are shown in Table 1.
Table 1

Characteristics of cases and controls included in this study

VariablesCase (N=416)Control (N=495)p-value
Sex, No.(%)< 0.001a
 Male271180
 Female145315
Mean age ±SD33.35 ±12.1354.48 ±9.44< 0.001b

a The p value was calculated from Pearson's chi-square tests.

b The p value was calculated by Welch's t tests.

SD, standard deviation.

a The p value was calculated from Pearson's chi-square tests. b The p value was calculated by Welch's t tests. SD, standard deviation. The MAFs of the analyzed SNPs in the case and control groups are shown in Table 2. All SNPs were in Hardy-Weinberg equilibrium (HWE) in the controls (p > 0.05) with the exception of rs1056629, which was excluded from subsequent analyses. The MAFs of the SNPs in the control group were similar to those reported for the HapMap Asian population. Using chi-square tests, we determined that rs1056654 was associated with a 0.774-fold decrease in the risk of IgAN (95% confidence interval [CI] = 0.630-0.952; p = 0.015).
Table 2

Allele frequencies in cases and controls and odds ratio estimates for IgA nephropathy

SNP IDBandPositionGeneAlleles Aa/BMAFHWE p-valueORs(95%CI)p-value
CaseControl
rs105667516q23.382181934MPHOSPH6C/T0.4760.43011.203(0.999-1.449)0.051
rs105665416q23.382182011MPHOSPH6A/G0.2520.3040.2430.774(0.630-0.952)0.015*
rs105662916q23.382182104MPHOSPH6C/T0.2520.2510.017#1.010(0.817-1.249)0.926
rs375186216q23.382182229MPHOSPH6C/A0.0410.05010.817(0.521-1.277)0.374
rs296736116q23.382203503MPHOSPH6T/G0.2340.2230.0691.065(0.855-1.326)0.573

MAF, minor allelic frequency; HWE, Hardy-Weinberg Equilibrium; ORs, odds ratios; CI: confidence interval.

a Minor allele; # HWE p-value ≤ 0.05 was excluded; *p value ≤ 0.05 indicates statistical significance.

MAF, minor allelic frequency; HWE, Hardy-Weinberg Equilibrium; ORs, odds ratios; CI: confidence interval. a Minor allele; # HWE p-value ≤ 0.05 was excluded; *p value ≤ 0.05 indicates statistical significance. The genotype frequencies of the MPHOSPH6 polymorphisms are shown in Table 3. Compared with the TT genotype, the CC frequency of rs1056675 polymorphism among cases was significantly different from controls (CC versus TT: OR =1.48, 95% CI=1.03-2.13, p=0.035), which suggested that the rs1056675 polymorphism had an increased effect on the risk of IgAN. Additionally, we observed that rs1056654 polymorphism have a protective role of IgAN risk (AA versus GG: OR =0.61, 95% CI=0.38-0.98, p=0.045).
Table 3

Genotypes frequencies of the SNPs and their associations with risk of IgA nephropathy

SNP IDGenotypeGenotype FrequenciesOR(95%CI)pa
CaseControl
rs1056675TT126(30.4%)160(32.5%)1.00
CT182(44.0%)242(49.0%)0.96(0.71-1.29)0.765
CC106(25.6%)91(18.5%)1.48(1.03-2.13)0.035*
rs1056654GG236(56.7%)245(49.6%)1.00
AG150(36.1%)198(40.1%)0.79(0.60-1.04)0.090
AA30(7.2%)51(10.3%)0.61(0.38-0.98)0.045*
rs3751862AA382(91.8%)446(90.3%)1.00
CA34(8.2%)47(9.5%)0.85(0.53-1.34)0.474
CC0(0%)1(0.2%)//
rs2967361GG244(58.7%)306(61.8%)1.00
TG149(35.8%)157(31.8%)1.19(0.90-1.58)0.223
TT23(5.5%)32(6.4%)0.90(0.51-1.580.717

SNP: Single nucleotide polymorphism; OR: odds ratio; 95%CI: 95% confidence interval.

a p values were calculated by unconditional logistic regression analysis with adjustments for age and gender.

*p≤0.05 indicates statistical significance.

SNP: Single nucleotide polymorphism; OR: odds ratio; 95%CI: 95% confidence interval. a p values were calculated by unconditional logistic regression analysis with adjustments for age and gender. *p≤0.05 indicates statistical significance. Furthermore, we assumed that the minor allele of each SNP as a risk factor compared with the wild-type allele. Four models (codominant, dominant, recessive, and log-additive) were applied to analyze the associations between the SNPs and risk of IgAN using an unconditional logistic regression analysis with adjustments for age and sex. We found that the “C/C” genotype of rs1056675 was associated with an increased risk of IgAN based on the codominant model (OR =1.48; 95% CI=1.03-2.13; p=0.033) and recessive model (OR =1.52; 95% CI=1.11-2.09; p=0.0095). The “G/A-A/A” genotype of rs1056654 was associated with a decreased risk of IgAN based on the dominant model (OR =0.75; 95% CI=0.58-0.98; p=0.032) and log-additvie model (OR =0.78; 95% CI=0.64-0.96; p=0.0188) (Table 4).
Table 4

Association between significant SNPs and risk of IgA nephropathy in multiple inheritance models

SNPsModelGenotypeCaseControlOR (95% CI)p-valueAICBIC
rs1056675CodominantT/T126 (30.4%)160 (32.5%)1
T/C182 (44.0%)242 (49.1%)0.96 (0.71-1.29)0.033*1249.71264.1
C/C106 (25.6%)91 (18.5%)1.48 (1.03-2.13)
DominantT/T126 (30.4%)160 (32.5%)10.511254.11263.7
T/C-C/C288 (69.6%)333 (67.5%)1.10 (0.83-1.46)
RecessiveT/T-T/C308 (74.4%)402 (81.5%)10.0095*1247.71257.4
C/C106 (25.6%)91 (18.5%)1.52 (1.11-2.09)
Log-additive1.19 (0.99-1.43)0.0571250.91260.5
rs1056654CodominantG/G236 (56.7%)245 (49.6%)1
G/A150 (36.1%)198 (40.1%)0.79 (0.60-1.04)0.061255.21269.7
A/A30 (7.2%)51 (10.3%)0.61 (0.38-0.99)
DominantG/G236 (56.7%)245 (49.6%)10.032*1254.21263.8
G/A-A/A180 (43.3%)249 (50.4%)0.75 (0.58-0.98)
RecessiveG/G-G/A386 (92.8%)443 (89.7%)10.0981256.11265.7
A/A30 (7.2%)51 (10.3%)0.68 (0.42-1.08)
Log-additive0.78 (0.64-0.96)0.0188*1253.21262.8

ORs, odds ratios; CI: confidence interval; AIC: Akaike's Information criterion; BIC: Bayesian Information criterion.

* p value ≤0.05 indicates statistical significance.

ORs, odds ratios; CI: confidence interval; AIC: Akaike's Information criterion; BIC: Bayesian Information criterion. * p value ≤0.05 indicates statistical significance.

DISCUSSION

In this study, we investigated the associations between five selected MPHOSPH6 SNPs and risk of IgAN in the Chinese Han population of Shaanxi Province. We found that rs1056675 is associated with an increased risk of IgAN, while rs1056654 has a protective role for IgAN. Our results suggest that the polymorphisms of MPHOSPH6 may play an important role in the risk of IgAN in the Chinese Han population. MPHOSPH6 is located on chromosome 16q23.3 and encodes the M-phase phosphoprotein 6 (MPP6) that is important for the maturation of 5.8S rRNA. MPP6 is also a RNA-binding protein, which preferentially binds to pyrimidine homopolymers [13]. In fact, little study is found about the association between MPHOSPH6 and disease. Li et al has attempted to investigate the association between MPHOSPH6 polymorphisms and risk of colorectal cancer, but they have no significant result [14]. In our study, we detected five SNPs of MPHOSPH6, and found that genetic polymorphisms of MPHOSPH6 are associated with IgAN, which may shed a new light on the in-depth study for this gene. Previous association studies have found many SNPs associated with IgAN risk in some populations; however, little of them were successfully replicated in other populations. Earlier GWAS studies revealed two common variants rs3115573 and rs3130315 in MHC that influence IgAN risk in a British population [15]. Chinese researchers also attempted to investigate SNPs associated with IgAN in the Chinese populations, they identified novel SNPs including rs3803800, rs2738048, rs660895, rs1794275 and rs2523946 reached a genome-wide significance [8]. It has been revealed that four SNPs including rs9275224, rs2856717, rs9275424 and rs9275596 were significantly associated with IgAN risk in a GWAS replication study in a combined Chinese, European and African-American population and followed by a meta-analysis in 85 world populations [16]. In the present study, we found that rs1056675 and rs1056654 were significantly associated with IgAN risk in a Chinese Han population. As far as we know, we are the first to report the association between MPHOSPH6 polymorphisms and IgAN risk, so the results identified here should be confirmed in further studies. Our study had several intrinsic limitations. Firstly, the subjects in this study were all Han Chinese who lived in Shaanxi Province. The results identified here need to be confirmed in other ethnicities. Secondly, our sample size was relatively small, so we didn't do further subgroup analyses based on age or gender. Thirdly, IgAN is a heterogeneous disease with many other risk factors. We could not explore the interactions between genetic polymorphisms and environmental factors in IgAN patients due to the limited data. Therefore, the relationship between MPHOSPH6 polymorphisms and IgAN risk must be evaluated in future studies with bigger sample size and different populations.

MATERIALS AND METHODS

Subjects

We consecutively recruited 416 IgAN cases and 495 healthy controls from the First Affiliated Hospital of Xi'an Jiaotong University from March 2014 to December 2016. All subjects were of northern Han Chinese ancestry and were recruited among local inhabitants of Shanxi province from northern China. All the patients were diagnosed and histologically confirmed to suffer from IgAN according to the renal biopsy, and they had not received any systemic treatment before the time of examination. Besides, we excluded patients with any type of cancer, infection, secondary IgAN (Secondary IgAN is seen most commonly in patients with liver disease or mucosal inflammation, in particular affecting the gastrointestinal tract), other renal diseases or autoimmune diseases. We also excluded control subjects with any chronic disease, conditions involving vital organs (liver, heart, lung and brain), central nervous system-related disease, or aggressive metabolic and endocrinological disease. Peripheral blood was collected from both cases and controls for DNA extraction. All of the participants provided written informed consent. The Human Research Committee for Approval of Research Involving Human Subjects, the First Affiliated Hospital of Xi'an Jiaotong University, approved the use of human blood samples in this study.

SNP selection and genotyping

In this study, five SNPs in MPHOSPH6 were selected from DbSNP database (http://www.hapmap.org/index.html.en) and SNP Consortium database (http://snp.cshl.org/) for analysis. The lower frequency alleles were coded as the minor allele. All of the SNPs had minor allele frequencies (MAFs) > 5% in the HapMap Chinese Han Beijing population. Genomic DNA was isolated from whole blood samples using the GoldMag-Mini Purification Kit (GoldMagCo. Ltd. Xi'an, China), and DNA concentrations were measured using the NanoDrop2000 (Thermo Scientific, Waltham, MA, USA). Sequenom Massarray Assay Design 3.0 softwarewas used to design a multiplexed SNP Mass EXTENDED assay [17-19]. Genotyping was performed on a Sequenom MassARRAY RS1000 platform using the manufacturer's protocol. The PCR primers for each SNP are shown in Table 5. Data management and analysis was performed using the Sequenom Typer 4.0 Software [20, 21].
Table 5

Primers used in this study

SNP1st_PCR primer2nd_PCR primerUEP_SEQ
rs1056675ACGTTGGATGAATACTTAAGGCTGGAGAGGACGTTGGATGGTCAAGCCAATTCGTACATACggtgCGTACATACAATTTGGAATCAA
rs1056654ACGTTGGATGGTATGTACGAATTGGCTTGACACGTTGGATGCAGTCACTGACCTTGAATTGACCTTGAATTGACTTACATAAA
rs1056629ACGTTGGATGTTTTTAGCCCCTGATCTACACGTTGGATGGGTCAGTGACTGGAGAACTAcGGAAGCAGCCCTGTAACAA
rs3751862ACGTTGGATGTGGTGTCTCTATAGTTATTACGTTGGATGCATCTGTTTCAAAAACAGCTGTTTCTAAAATGATAATCTCTTTACA
rs2967361ACGTTGGATGTTACTGGGAACCAGCTTACGACGTTGGATGAGCTGTACCCTGACTGCTTCtCCTGACTGCTTCTGTGTAC

UEP_SEQ: Unextended mini-sequencing primer.

UEP_SEQ: Unextended mini-sequencing primer.

Statistical analysis

We used Microsoft Excel (Microsoft Corporation, Redmond, WA, USA) and the SPSS 18.0 statistical package (SPSS, Chicago, IL, USA) to perform statistical analyses. All p values presented in this study were two sided, and p = 0.05 was considered the cutoff for statistical significance. Differences in the characteristics of the case and control study populations were analyzed using chi-square tests for categorical variables and Welch's t tests for continuous variables. In all analyses, the lower frequency allele was considered to be the ‘risk’ allele. Control genotype frequencies for each SNP were tested for departure from HWE using Fisher's exact tests. Allele and genotype frequencies in the cases and controls were compared using chi-square tests [22]. Four models (codominant, dominant, recessive, and log-additive) were used to assess the association between each genotype and the risk of IgAN. The effects of the polymorphisms on the risk of IgAN were expressed as odds ratios (ORs) with 95% confidence interval (CIs), which were calculated using unconditional logistic regression analysis after adjusting for age and gender [23].

CONCLUSIONS

The present study provided evidence that SNPs in the MPHOSPH6 are associated with IgAN in a Chinese Han population. It is possible that these variants are IgAN risk factors and these data can provide a theoretical foundation for other researchers to further study the association between the MPHOSPH6 gene and IgAN risk in the Chinese Han or other populations.
  21 in total

1.  DNA extraction and quantitation of forensic samples using the phenol-chloroform method and real-time PCR.

Authors:  Silvano Köchl; Harald Niederstätter; Walther Parson
Journal:  Methods Mol Biol       Date:  2005

2.  Abnormal miR-148b expression promotes aberrant glycosylation of IgA1 in IgA nephropathy.

Authors:  Grazia Serino; Fabio Sallustio; Sharon N Cox; Francesco Pesce; Francesco P Schena
Journal:  J Am Soc Nephrol       Date:  2012-02-23       Impact factor: 10.121

3.  High-throughput oncogene mutation profiling in human cancer.

Authors:  Roman K Thomas; Alissa C Baker; Ralph M Debiasi; Wendy Winckler; Thomas Laframboise; William M Lin; Meng Wang; Whei Feng; Thomas Zander; Laura MacConaill; Laura E Macconnaill; Jeffrey C Lee; Rick Nicoletti; Charlie Hatton; Mary Goyette; Luc Girard; Kuntal Majmudar; Liuda Ziaugra; Kwok-Kin Wong; Stacey Gabriel; Rameen Beroukhim; Michael Peyton; Jordi Barretina; Amit Dutt; Caroline Emery; Heidi Greulich; Kinjal Shah; Hidefumi Sasaki; Adi Gazdar; John Minna; Scott A Armstrong; Ingo K Mellinghoff; F Stephen Hodi; Glenn Dranoff; Paul S Mischel; Tim F Cloughesy; Stan F Nelson; Linda M Liau; Kirsten Mertz; Mark A Rubin; Holger Moch; Massimo Loda; William Catalona; Jonathan Fletcher; Sabina Signoretti; Frederic Kaye; Kenneth C Anderson; George D Demetri; Reinhard Dummer; Stephan Wagner; Meenhard Herlyn; William R Sellers; Matthew Meyerson; Levi A Garraway
Journal:  Nat Genet       Date:  2007-02-11       Impact factor: 38.330

4.  High-throughput informative single nucleotide polymorphism-based typing of Neisseria gonorrhoeae using the Sequenom MassARRAY iPLEX platform.

Authors:  Ella Trembizki; Helen Smith; Monica M Lahra; Marcus Chen; Basil Donovan; Christopher K Fairley; Rebecca Guy; John Kaldor; David Regan; James Ward; Michael D Nissen; Theo P Sloots; David M Whiley
Journal:  J Antimicrob Chemother       Date:  2014-01-26       Impact factor: 5.790

5.  Is IgA nephropathy the commonest primary glomerulopathy among young adults in the USA?

Authors:  R Nair; P D Walker
Journal:  Kidney Int       Date:  2006-04       Impact factor: 10.612

6.  The Oxford classification of IgA nephropathy: rationale, clinicopathological correlations, and classification.

Authors:  Daniel C Cattran; Rosanna Coppo; H Terence Cook; John Feehally; Ian S D Roberts; Stéphan Troyanov; Charles E Alpers; Alessandro Amore; Jonathan Barratt; Francois Berthoux; Stephen Bonsib; Jan A Bruijn; Vivette D'Agati; Giuseppe D'Amico; Steven Emancipator; Francesco Emma; Franco Ferrario; Fernando C Fervenza; Sandrine Florquin; Agnes Fogo; Colin C Geddes; Hermann-Josef Groene; Mark Haas; Andrew M Herzenberg; Prue A Hill; Ronald J Hogg; Stephen I Hsu; J Charles Jennette; Kensuke Joh; Bruce A Julian; Tetsuya Kawamura; Fernand M Lai; Chi Bon Leung; Lei-Shi Li; Philip K T Li; Zhi-Hong Liu; Bruce Mackinnon; Sergio Mezzano; F Paolo Schena; Yasuhiko Tomino; Patrick D Walker; Haiyan Wang; Jan J Weening; Nori Yoshikawa; Hong Zhang
Journal:  Kidney Int       Date:  2009-07-01       Impact factor: 10.612

Review 7.  Immunoglobulin A nephropathy in China: progress and challenges.

Authors:  Guang-Yan Cai; Xiang-Mei Chen
Journal:  Am J Nephrol       Date:  2009-06-12       Impact factor: 3.754

8.  Geographic differences in genetic susceptibility to IgA nephropathy: GWAS replication study and geospatial risk analysis.

Authors:  Krzysztof Kiryluk; Yifu Li; Simone Sanna-Cherchi; Mersedeh Rohanizadegan; Hitoshi Suzuki; Frank Eitner; Holly J Snyder; Murim Choi; Ping Hou; Francesco Scolari; Claudia Izzi; Maddalena Gigante; Loreto Gesualdo; Silvana Savoldi; Antonio Amoroso; Daniele Cusi; Pasquale Zamboli; Bruce A Julian; Jan Novak; Robert J Wyatt; Krzysztof Mucha; Markus Perola; Kati Kristiansson; Alexander Viktorin; Patrik K Magnusson; Gudmar Thorleifsson; Unnur Thorsteinsdottir; Kari Stefansson; Anne Boland; Marie Metzger; Lise Thibaudin; Christoph Wanner; Kitty J Jager; Shin Goto; Dita Maixnerova; Hussein H Karnib; Judit Nagy; Ulf Panzer; Jingyuan Xie; Nan Chen; Vladimir Tesar; Ichiei Narita; Francois Berthoux; Jürgen Floege; Benedicte Stengel; Hong Zhang; Richard P Lifton; Ali G Gharavi
Journal:  PLoS Genet       Date:  2012-06-21       Impact factor: 5.917

9.  MPP6 is an exosome-associated RNA-binding protein involved in 5.8S rRNA maturation.

Authors:  Geurt Schilders; Reinout Raijmakers; Jos M H Raats; Ger J M Pruijn
Journal:  Nucleic Acids Res       Date:  2005-12-07       Impact factor: 16.971

10.  C1D and hMtr4p associate with the human exosome subunit PM/Scl-100 and are involved in pre-rRNA processing.

Authors:  Geurt Schilders; Erwin van Dijk; Ger J M Pruijn
Journal:  Nucleic Acids Res       Date:  2007-04-04       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.