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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‐effects methods. In response, we propose a novel random effect model for trans‐ethnic...
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