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SUMMARY:A multidimensional perspective on immune-mediated diseases: using 
 genetic feature engineering to study shared risk factors in a reduced dime
 nsion space - Guillermo Reales (Dept. of Medicine\, University of Cambridg
 e)
DTSTART:20211103T140000Z
DTEND:20211103T150000Z
UID:TALK161461@talks.cam.ac.uk
CONTACT:Samantha Noel
DESCRIPTION:Genome-wide association studies (GWAS) look for associations b
 etween millions of genomic variants and traits such as disease or treatmen
 t response\, and have revealed shared genetic architectures across disease
  collections\, such as the immune-mediated diseases (IMD) which include ty
 pe 1 diabetes\, asthma\, or rheumatoid arthritis. However\, integrative ap
 proaches to describe these architectures beyond pairwise comparison have b
 een limited by the dimension of these statistics\, as well as different sh
 aring patterns across diseases\, rendering generalisations about inter-dis
 ease relationships difficult. Here\, I describe a new method based on prin
 cipal component analysis and Bayesian shrinkage to engineer genetic risk c
 omponents from GWAS summary statistics for a set of related traits. This e
 nables us to detect significant associations in the limited sample numbers
  available from less frequent diseases\, which would otherwise have insuff
 icient powered for genetic study. I also show that using potential mediati
 ng traits\, such as blood cell counts in the engineering can help identify
  more interpretable components\, and thus help understand the genetic arch
 itecture of IMD and infectious diseases\, among others.
LOCATION:CMS\,  Meeting Room 15
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