Cargando…

Meta-analysis and genome-wide interpretation of genetic susceptibility to drug addiction

BACKGROUND: Classical genetic studies provide strong evidence for heritable contributions to susceptibility to developing dependence on addictive substances. Candidate gene and genome-wide association studies (GWAS) have sought genes, chromosomal regions and allelic variants likely to contribute to...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Chuan-Yun, Zhou, Wei-Zhen, Zhang, Ping-Wu, Johnson, Catherine, Wei, Liping, Uhl, George R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3215751/
https://www.ncbi.nlm.nih.gov/pubmed/21999673
http://dx.doi.org/10.1186/1471-2164-12-508
_version_ 1782216434075566080
author Li, Chuan-Yun
Zhou, Wei-Zhen
Zhang, Ping-Wu
Johnson, Catherine
Wei, Liping
Uhl, George R
author_facet Li, Chuan-Yun
Zhou, Wei-Zhen
Zhang, Ping-Wu
Johnson, Catherine
Wei, Liping
Uhl, George R
author_sort Li, Chuan-Yun
collection PubMed
description BACKGROUND: Classical genetic studies provide strong evidence for heritable contributions to susceptibility to developing dependence on addictive substances. Candidate gene and genome-wide association studies (GWAS) have sought genes, chromosomal regions and allelic variants likely to contribute to susceptibility to drug addiction. RESULTS: Here, we performed a meta-analysis of addiction candidate gene association studies and GWAS to investigate possible functional mechanisms associated with addiction susceptibility. From meta-data retrieved from 212 publications on candidate gene association studies and 5 GWAS reports, we linked a total of 843 haplotypes to addiction susceptibility. We mapped the SNPs in these haplotypes to functional and regulatory elements in the genome and estimated the magnitude of the contributions of different molecular mechanisms to their effects on addiction susceptibility. In addition to SNPs in coding regions, these data suggest that haplotypes in gene regulatory regions may also contribute to addiction susceptibility. When we compared the lists of genes identified by association studies and those identified by molecular biological studies of drug-regulated genes, we observed significantly higher participation in the same gene interaction networks than expected by chance, despite little overlap between the two gene lists. CONCLUSIONS: These results appear to offer new insights into the genetic factors underlying drug addiction.
format Online
Article
Text
id pubmed-3215751
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-32157512011-11-15 Meta-analysis and genome-wide interpretation of genetic susceptibility to drug addiction Li, Chuan-Yun Zhou, Wei-Zhen Zhang, Ping-Wu Johnson, Catherine Wei, Liping Uhl, George R BMC Genomics Research Article BACKGROUND: Classical genetic studies provide strong evidence for heritable contributions to susceptibility to developing dependence on addictive substances. Candidate gene and genome-wide association studies (GWAS) have sought genes, chromosomal regions and allelic variants likely to contribute to susceptibility to drug addiction. RESULTS: Here, we performed a meta-analysis of addiction candidate gene association studies and GWAS to investigate possible functional mechanisms associated with addiction susceptibility. From meta-data retrieved from 212 publications on candidate gene association studies and 5 GWAS reports, we linked a total of 843 haplotypes to addiction susceptibility. We mapped the SNPs in these haplotypes to functional and regulatory elements in the genome and estimated the magnitude of the contributions of different molecular mechanisms to their effects on addiction susceptibility. In addition to SNPs in coding regions, these data suggest that haplotypes in gene regulatory regions may also contribute to addiction susceptibility. When we compared the lists of genes identified by association studies and those identified by molecular biological studies of drug-regulated genes, we observed significantly higher participation in the same gene interaction networks than expected by chance, despite little overlap between the two gene lists. CONCLUSIONS: These results appear to offer new insights into the genetic factors underlying drug addiction. BioMed Central 2011-10-15 /pmc/articles/PMC3215751/ /pubmed/21999673 http://dx.doi.org/10.1186/1471-2164-12-508 Text en Copyright ©2011 Li et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Chuan-Yun
Zhou, Wei-Zhen
Zhang, Ping-Wu
Johnson, Catherine
Wei, Liping
Uhl, George R
Meta-analysis and genome-wide interpretation of genetic susceptibility to drug addiction
title Meta-analysis and genome-wide interpretation of genetic susceptibility to drug addiction
title_full Meta-analysis and genome-wide interpretation of genetic susceptibility to drug addiction
title_fullStr Meta-analysis and genome-wide interpretation of genetic susceptibility to drug addiction
title_full_unstemmed Meta-analysis and genome-wide interpretation of genetic susceptibility to drug addiction
title_short Meta-analysis and genome-wide interpretation of genetic susceptibility to drug addiction
title_sort meta-analysis and genome-wide interpretation of genetic susceptibility to drug addiction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3215751/
https://www.ncbi.nlm.nih.gov/pubmed/21999673
http://dx.doi.org/10.1186/1471-2164-12-508
work_keys_str_mv AT lichuanyun metaanalysisandgenomewideinterpretationofgeneticsusceptibilitytodrugaddiction
AT zhouweizhen metaanalysisandgenomewideinterpretationofgeneticsusceptibilitytodrugaddiction
AT zhangpingwu metaanalysisandgenomewideinterpretationofgeneticsusceptibilitytodrugaddiction
AT johnsoncatherine metaanalysisandgenomewideinterpretationofgeneticsusceptibilitytodrugaddiction
AT weiliping metaanalysisandgenomewideinterpretationofgeneticsusceptibilitytodrugaddiction
AT uhlgeorger metaanalysisandgenomewideinterpretationofgeneticsusceptibilitytodrugaddiction