Multi-variant study of obesity risk genes in African Americans: The Jackson Heart Study

被引:11
|
作者
Liu, Shijian [1 ]
Wilson, James G. [2 ]
Jiang, Fan [1 ]
Griswold, Michael [3 ]
Correa, Adolfo [4 ]
Mei, Hao [1 ,3 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Publ Hlth, Shanghai Childrens Med Ctr, Sch Med, Shanghai 200127, Peoples R China
[2] Univ Mississippi, Physiol & Biophys, Med Ctr, Jackson, MS 39216 USA
[3] Univ Mississippi, Dept Data Sci, Med Ctr, 2500 North State St, Jackson, MS 39216 USA
[4] Univ Mississippi, Med Ctr, Jackson Heart Study, Jackson, MS 39216 USA
关键词
Gene-gene interaction; SNP association; Genetic risk score; Haplotype; Obesity; BODY-MASS INDEX; ADULT OBESITY; WEIGHT-GAIN; EARLY-ONSET; ASSOCIATION; VARIANTS; GENETICS; COMMON; SUSCEPTIBILITY; RELATEDNESS;
D O I
10.1016/j.gene.2016.08.041
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Objective: Genome-wide association study (GWAS) has been successful in identifying obesity risk genes by single-variant association analysis. For this study, we designed steps of analysis strategy and aimed to identify multi-variant effects on obesity risk among candidate genes. Methods: Our analyses were focused on 2137 African American participants with body mass index measured in the Jackson Heart Study and 657 common single nucleotide polymorphisms (SNPs) genotyped at 8 GWAS-identified obesity risk genes. Results: Single-variant association test showed that no SNPs reached significance after multiple testing adjustment. The following gene-gene interaction analysis, which was focused on SNPs with unadjusted p value < 0.10, identified 6 significant multi-variant associations. Logistic regression showed that SNPs in these associations did not have significant linear interactions; examination of genetic risk score evidenced that 4 multi variant associations had significant additive effects of risk SNPs; and haplotype association test presented that all multi-variant associations contained one or several combinations of particular alleles or haplotypes, associated with increased obesity risk. Conclusions: Our study evidenced that obesity risk genes generated multi-variant effects, which can be additive or non-linear interactions, and multi-variant study is an important supplement to existing GWAS for understanding genetic effects of obesity risk genes. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:315 / 321
页数:7
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