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Dissecting ancestry genomic background in substance dependence genome-wide association studies.

ABSTRACT: AIMS:To understand the role of ancestral genomic background in substance dependence (SD) genome-wide association studies (GWAS), we analyzed population diversity at genetic loci associated with SD traits and evaluated its effect on GWAS outcomes. MATERIALS & METHODS:We investigated 24 genes with variants associated with SD by GWAS; and 82 loci with putative subordinate roles with respect to SD-associated genes. RESULTS:We observed high ancestry-related frequency differences in common functional alleles in GWAS relevant genes and their interactive partners. Common functional alleles with high frequency differences demonstrated significant effects on the GWAS outcomes. CONCLUSION:Population differences in SD GWAS outcomes seem not to be influenced by general variation across the genome, but by ancestry-related local haplotype structures at SD-associated loci.

SUBMITTER: Polimanti R

PROVIDER: S-EPMC4632979 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Dissecting ancestry genomic background in substance dependence genome-wide association studies.

Polimanti Renato R Yang Can C Yang Can C Zhao Hongyu H Gelernter Joel J

Pharmacogenomics 20150812 13

<h4>Aims</h4>To understand the role of ancestral genomic background in substance dependence (SD) genome-wide association studies (GWAS), we analyzed population diversity at genetic loci associated with SD traits and evaluated its effect on GWAS outcomes.<h4>Materials & methods</h4>We investigated 24 genes with variants associated with SD by GWAS; and 82 loci with putative subordinate roles with respect to SD-associated genes.<h4>Results</h4>We observed high ancestry-related frequency differences ...[more]

PMID: 26267224

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Dataset Information

Dissecting ancestry genomic background in substance dependence genome-wide association studies.

Publications

Dissecting ancestry genomic background in substance dependence genome-wide association studies.

Similar Datasets

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