Genome-Wide Association of Heroin Dependence in Han Chinese.

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 exam...

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Main Authors: Gursharan Kalsi, Jack Euesden, Jonathan R I Coleman, Francesca Ducci, Fazil Aliev, Stephen J Newhouse, Xiehe Liu, Xiaohong Ma, Yingcheng Wang, David A Collier, Philip Asherson, Tao Li, Gerome Breen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0167388&type=printable
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author Gursharan Kalsi
Jack Euesden
Jonathan R I Coleman
Francesca Ducci
Fazil Aliev
Stephen J Newhouse
Xiehe Liu
Xiaohong Ma
Yingcheng Wang
David A Collier
Philip Asherson
Tao Li
Gerome Breen
author_facet Gursharan Kalsi
Jack Euesden
Jonathan R I Coleman
Francesca Ducci
Fazil Aliev
Stephen J Newhouse
Xiehe Liu
Xiaohong Ma
Yingcheng Wang
David A Collier
Philip Asherson
Tao Li
Gerome Breen
author_sort Gursharan Kalsi
collection DOAJ
description 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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spelling doaj-art-855ad098b111430ea8d8e6b8934abb3c2025-08-20T02:03:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011112e016738810.1371/journal.pone.0167388Genome-Wide Association of Heroin Dependence in Han Chinese.Gursharan KalsiJack EuesdenJonathan R I ColemanFrancesca DucciFazil AlievStephen J NewhouseXiehe LiuXiaohong MaYingcheng WangDavid A CollierPhilip AshersonTao LiGerome BreenDrug 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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0167388&type=printable
spellingShingle Gursharan Kalsi
Jack Euesden
Jonathan R I Coleman
Francesca Ducci
Fazil Aliev
Stephen J Newhouse
Xiehe Liu
Xiaohong Ma
Yingcheng Wang
David A Collier
Philip Asherson
Tao Li
Gerome Breen
Genome-Wide Association of Heroin Dependence in Han Chinese.
PLoS ONE
title Genome-Wide Association of Heroin Dependence in Han Chinese.
title_full Genome-Wide Association of Heroin Dependence in Han Chinese.
title_fullStr Genome-Wide Association of Heroin Dependence in Han Chinese.
title_full_unstemmed Genome-Wide Association of Heroin Dependence in Han Chinese.
title_short Genome-Wide Association of Heroin Dependence in Han Chinese.
title_sort genome wide association of heroin dependence in han chinese
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0167388&type=printable
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