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Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies
This article proposes a new and general goodness-of-fit (GOF) test, called TEDE (TEsting Direct Effects), applicable to both correlated and independent SNPs/IVs as commonly used in transcriptome-wide association studies (TWAS) and Mendelian randomization (MR) respectively.
Date:
August 2, 2021
Creator:
Deng, Yangqing & Pan, Wei
System:
The UNT Digital Library