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Cancer Biostatistics Seminar Graphic with Meida Wang, PhD

Cancer Biostatistics Monthly Seminar with Meida Wang, PhD

Two novel approaches for jointly analyzing multiple phenotypes in GWAS


Meida Wang, PhD

Clinical Assistant Professor

Division of Epidemiology and Biostatistics

School of Public Health

University of Illinois at Chicago  



Traditional genome-wide association studies (GWAS) focus on a single trait and a genetic variant at a time. There is more evidence to show that joint analysis of multiple phenotypes in GWAS can increase statistical power when detecting the association between genetic variants and human complex traits. We developed two novel statistical methods to jointly analyze multiple phenotypes for GWAS: a computationally efficient clustering linear combination approach (ceCLC) and its extension which applicable to GWAS summary statistics (sCLC). A variety of simulation studies demonstrate that the two novel approaches outperform all other methods in most scenarios. An application of UK Biobank GWAS summary statistics from the XIII category shows that sCLC identifies some novel signals that were missed by standard GWAS, which provide new insight into the potential genetic factors of the musculoskeletal system and connective tissue phenotypes.  


Join Zoom Meeting here

Meeting ID: 892 2279 0420

Passcode: aHXPCE46  


This group meets monthly from Noon – 1 p.m. The meeting agenda includes a presentation, programmatic announcements, and updates from Cancer Center program leaders.


Mar 27 2024


12:00 pm - 1:00 pm
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