A novel random effect model for GWAS meta-analysis and its application to trans-ethnic meta-analysis.
Shi Jingchunzi, Lee Seunggeun·Biometrics
Meta-analysis of trans-ethnic genome-wide association studies (GWAS) has proven to be a practical and profitable approach for identifying loci that contribute to the risk of complex diseases. However, the expected genetic effect heterogeneity cannot easily be accommodated through existing fixed-effects and random-effec…