Xuan Wang, Molei Liu, Isabelle-Emmanuella Nogues, Tony Chen, Xin Xiong, Clara-Lea Bonzel, Harrison Zhang, Chuan Hong, Yin Xia, Kumar Dahal, Lauren Costa, Jing Cui, J Michael Gaziano, Seoyoung C Kim, Yuk-Lam Ho, Kelly Cho, Tianxi Cai, Katherine P Liao
The Phenome-Wide Association Study (PheWAS) is increasingly used to broadly screen for potential treatment effects, e.g., IL6R variant as a proxy for IL6R antagonists. This approach offers an opportunity to address the limited power in clinical trials to study differential treatment effects across patient subgroups. However, limited methods exist to efficiently test for differences across subgroups in the thousands of multiple comparisons generated as part of a PheWAS. In this study, we developed an approach that maximizes the power to test for heterogeneous genotype-phenotype associations and applied this approach to an IL6R PheWAS among individuals of African (AFR) and European (EUR) ancestries...
April 5, 2024: Scientific Reports