Dataset Information

Human Genetics of Addiction: New Insights and Future Directions.

ABSTRACT:

Purpose of review

With the advent of the genome-wide association study (GWAS), our understanding of the genetics of addiction has made significant strides forward. Here, we summarize genetic loci containing variants identified at genome-wide statistical significance (P < 5 × 10^-8) and independently replicated, review evidence of functional or regulatory effects for GWAS-identified variants, and outline multi-omics approaches to enhance discovery and characterize addiction loci.

Recent findings

Replicable GWAS findings span 11 genetic loci for smoking, eight loci for alcohol, and two loci for illicit drugs combined and include missense functional variants and noncoding variants with regulatory effects in human brain tissues traditionally viewed as addiction-relevant (e.g., prefrontal cortex [PFC]) and, more recently, tissues often overlooked (e.g., cerebellum). GWAS analyses have discovered several novel, replicable variants contributing to addiction. Using larger sample sizes from harmonized datasets and new approaches to integrate GWAS with multiple 'omics data across human brain tissues holds great promise to significantly advance our understanding of the biology underlying addiction.

SUBMITTER: Hancock DB

PROVIDER: S-EPMC5983372 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Publications

Human Genetics of Addiction: New Insights and Future Directions.

Hancock Dana B DB Markunas Christina A CA Bierut Laura J LJ Johnson Eric O EO

Current psychiatry reports 20180305 2

<h4>Purpose of review</h4>With the advent of the genome-wide association study (GWAS), our understanding of the genetics of addiction has made significant strides forward. Here, we summarize genetic loci containing variants identified at genome-wide statistical significance (P < 5 × 10<sup>-8</sup>) and independently replicated, review evidence of functional or regulatory effects for GWAS-identified variants, and outline multi-omics approaches to enhance discovery and characterize addiction loci ...[more]

PMID: 29504045

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Dataset Information

Human Genetics of Addiction: New Insights and Future Directions.

Purpose of review

Recent findings

Publications

Human Genetics of Addiction: New Insights and Future Directions.

Similar Datasets

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