Unknown

Dataset Information

A New Genomewide Association Meta-Analysis of Alcohol Dependence.


ABSTRACT:

Background

Conventional meta-analysis based on genetic markers may be less powerful for heterogeneous samples. In this study, we introduced a new meta-analysis for 4 genomewide association studies on alcohol dependence that integrated the information of putative causal variants.

Methods

A total of 12,481 subjects in 4 independent cohorts were analyzed, including 1 European American cohort (1,409 cases with alcohol dependence and 1,518 controls), 1 European Australian cohort (a total of 6,438 family subjects with 1,645 probands), 1 African American cohort from SAGE + COGA (681 cases and 508 controls), and 1 African American cohort from Yale (1,429 cases and 498 controls). The genomewide association analysis was conducted for each cohort, and then, a new meta-analysis was perf

SUBMITTER: Zuo L 

PROVIDER: S-EPMC5587504 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature