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Genome-Wide Association of Heroin Dependence in Han Chinese

全基因组关联研究 遗传关联 上瘾 遗传学 生物 单核苷酸多态性 人口 医学 基因 基因型 精神科 环境卫生
作者
Gursharan Kalsi,Jack Euesden,Jonathan R. I. Coleman,Francesca Ducci,Fazil Alıev,Stephen Newhouse,Xiehe Liu,Xiaohong Ma,Yingcheng Wang,David Collier,Philip Asherson,Tao Li,Gerome Breen
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:11 (12): e0167388-e0167388 被引量:39
标识
DOI:10.1371/journal.pone.0167388
摘要

Drug addiction is a costly and recurring healthcare problem, necessitating a need to understand risk factors and mechanisms of addiction, and to identify new biomarkers. To date, genome-wide association studies (GWAS) for heroin addiction have been limited; moreover they have been restricted to examining samples of European and African-American origin due to difficulty of recruiting samples from other populations. This is the first study to test a Han Chinese population; we performed a GWAS on a homogeneous sample of 370 Han Chinese subjects diagnosed with heroin dependence using the DSM-IV criteria and 134 ethnically matched controls. Analysis using the diagnostic criteria of heroin dependence yielded suggestive evidence for association between variants in the genes CCDC42 (coiled coil domain 42; p = 2.8x10-7) and BRSK2 (BR serine/threonine 2; p = 4.110-6). In addition, we found evidence for risk variants within the ARHGEF10 (Rho guanine nucleotide exchange factor 10) gene on chromosome 8 and variants in a region on chromosome 20q13, which is gene-poor but has a concentration of mRNAs and predicted miRNAs. Gene-based association analysis identified genome-wide significant association between variants in CCDC42 and heroin addiction. Additionally, when we investigated shared risk variants between heroin addiction and risk of other addiction-related and psychiatric phenotypes using polygenic risk scores, we found a suggestive relationship with variants predicting tobacco addiction, and a significant relationship with variants predicting schizophrenia. Our genome wide association study of heroin dependence provides data in a novel sample, with functionally plausible results and evidence of genetic data of value to the field.
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