TEMR: Trans-ethnic Mendelian Randomization Method using Large-scale GWAS Summary Datasets
Lei Hou,
Sijia Wu,
Zhongshang Yuan
et al.
Abstract:Available large-scale GWAS summary datasets predominantly stem from European populations, while sample sizes for other ethnicities, notably Central/South Asian, East Asian, African, Hispanic, etc. remain comparatively limited, which induces the low precision of causal effect estimation within these ethnicities using Mendelian Randomization (MR). In this paper, we propose a Trans-ethnic MR method called TEMR to improve statistical power and estimation precision of MR in the target population using trans-ethnic … Show more
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