Gene-based polygenic risk scores analysis of alcohol use disorder in African Americans

Author:

Lai Dongbing,Schwantes-An Tae-Hwi Linus,Abreu Marco,Chan Grace,Hesselbrock Victor,Kamarajan Chella,Liu Yunlong,Meyers Jacquelyn L.,Nurnberger John I,Plawecki Martin H.,Wetherill Leah,Schuckit Marc,Zhang Pengyue,Edenberg Howard J.,Porjesz Bernice,Agrawal Arpana,Foroud Tatiana

Abstract

ABSTRACTGenome-wide association studies (GWAS) in admixed populations such as African American (AA) have limited sample sizes, resulting poor performance of polygenic risk scores (PRS). Based on the observations that many disease-causing genes are shared between AA and European ancestry (EA) populations, and some disease-causing variants are located within boundaries of these genes, we proposed a novel gene-based PRS method (PRSgene) by using variants located in these shared disease-causing genes. Using AA GWAS of alcohol use disorder (AUD) from the Million Veteran Program and EA GWAS of problematic alcohol use as the discovery datasets, we identified 858 variants from 410 genes that were AUD-related in both AA and EA. PRSgene calculated using these variants were significantly associated with AUD in three AA cohorts (P-values: 7.61E-05-6.27E-03; Betas: 0.15-0.21) and outperformed PRS calculated using all variants (P-values: 7.28E-03-0.16; Betas: 0.06-0.18). PRSgene was also associated with AUD in an EA cohort (P-value=0.02, Beta=0.11). In AA, individuals in the highest PRSgene decile had an Odds Ratio of 1.76 (95% CI: 1.32-2.34) to develop AUD compared to those in the lowest decile. The 410 genes were enriched in 54 Gene Ontology biological processes, including ethanol oxidation and processes involving synaptic system, which are known to be AUD-related. Additionally, 26 genes were targets of drugs to treat AUD or other diseases, but may be repurposed to treat AUD. Our study demonstrated that our gene-based PRS had improved performance in evaluating AUD risk in AA and provided new insight into identification of AUD genes.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3