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UID:20250707T040425EDT-4037k3cL6M@132.216.98.100
DTSTAMP:20250707T080425Z
DESCRIPTION:Xin He\, PhD\n\nAssociate Professor | Department of Human Genet
 ics\n	University of Chicago\n\nWHEN: Wednesday\, February 28\, 2024\, from 
 3:30 to 4:30 p.m.\n\nWHERE: hybrid | 2001 9IÖÆ×÷³§Ãâ·Ñ College Avenue\, Rm 1201\
 ; Zoom\n\nNOTE: Dr. He will be presenting from Chicago\n\nAbstract\n\nGeno
 me-wide association studies (GWAS) have been successful in mapping associa
 tions of genetic variants with complex traits\, but the causal variants an
 d genes underlying these associations are often unknown. Researchers have 
 often used expression Quantitative Trait Loci (eQTLs) data to nominate put
 ative risk genes from GWAS. But existing methods for integrative analysis 
 of eQTLs and GWAS are susceptible to false positive findings\, due to plei
 otropic effects of eQTLs. We developed a new method\, causal-TWAS (cTWAS) 
 to address this challlenge. It borrows ideas from statistical fine-mapping
  and allows us to adjust all pleiotropic effects. cTWAS showed calibrated 
 false discovery rates in simulations\, and its application on several comm
 on traits discovered novel candidate genes.\n\nSpeaker bio\n\nDr. Xin He i
 s an Associate Professor at Department of Human Genetics\, University of C
 hicago. Dr. He is interested in how genetic variations lead to phenotypic 
 effects. His research focues on developing novel computational methods to 
 detect risk genes of complex dieases and gain deeper insights into the dis
 ease mechanisms. His lab has published papers in leading journals such as 
 Science\, Nature Genetics and Nature Methods. Link: http://xinhelab.org\n
DTSTART:20240228T203000Z
DTEND:20240228T213000Z
SUMMARY:Causal-TWAS: a new method for integrative analysis of expression QT
 Ls and GWAS detects causal genes of complex traits
URL:/epi-biostat-occh/channels/event/causal-twas-new-m
 ethod-integrative-analysis-expression-qtls-and-gwas-detects-causal-genes-c
 omplex-354320
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