Whole genome sequence study of cannabis dependence in two independent cohorts.

ABSTRACT: Recent advances in genome wide sequencing techniques and analytical methods allow for more comprehensive examinations of the genome than microarray-based genome-wide association studies (GWAS). The present report provides the first application of whole genome sequencing (WGS) to identify low frequency variants involved in cannabis dependence across two independent cohorts. The present study used low-coverage whole genome sequence data to conduct set-based association and enrichment analyses of low frequency variation in protein-coding regions as well as regulatory regions in relation to cannabis dependence. Two cohorts were studied: a population-based Native American tribal community consisting of 697 participants nested within large multi-generational pedigrees and a family-based sample o

SUBMITTER: Gizer IR 

PROVIDER: S-EPMC5522771 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature