Association of Predicted Expression and Multimodel Association Analysis of Substance Abuse Traits.

ABSTRACT:

Introduction

Genome-wide association studies (GWAS) have played a critical role in identifying many thousands of loci associated with complex phenotypes and diseases. This has led to several translations of novel disease susceptibility genes into drug targets and care. This however has not been the case for analyses where sample sizes are small, which suffer from multiple comparisons testing. The present study examined the statistical impact of combining a burden test methodology, PrediXcan, with a multimodel meta-analysis, cross phenotype association (CPASSOC).

Methods

The analysis was conducted on 5 addiction traits: family alcoholism, cannabis craving, alcohol, nicotine, and cannabis dependence and 10 brain tissues: anterior cingulate cortex BA24, cerebellar hemisphere, c

SUBMITTER: Bost DM 

PROVIDER: S-EPMC9669989 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature