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UID:20250513T150506EDT-8549xst0Tu@132.216.98.100
DTSTAMP:20250513T190506Z
DESCRIPTION:Mapping the structure of genetic risk for common disease in the
  UK Biobank\n\nGil McVean (Oxford University)\n	Tuesday February 12\, 12-1p
 m\n	Montreal Neurological Institute\, deGrandpre Communications Centre\n\nA
 bstract: Genetic risk factors frequently affect multiple common human dise
 ases\, providing insight into shared pathophysiological pathways and oppor
 tunities for therapeutic development. However\, systematic identification 
 of genetic profiles of disease risk is limited by the availability of both
  comprehensive clinical data on population-scale cohorts and the lack of s
 uitable statistical methodology that can handle the scale of and different
 ial power inherent in multi-phenotype data. We have developed a disease-ag
 nostic approach to cluster genetic risk profiles for 3\,025 genome-wide in
 dependent loci across 19\,155 ICD-10 diagnostic codes from 320\,644 partic
 ipants in the UK Biobank\, representing a large and heterogeneous populati
 on. We identify several hundred distinct disease association profiles and 
 use multiple approaches to link clusters to underlying biological pathways
 . We show how clusters can decompose the variance and covariance in risk f
 or disease\, thereby identifying underlying biological processes and their
  impact. We demonstrate the use of clusters in defining disease relationsh
 ips and informing therapeutic strategies.\n
DTSTART:20190212T170000Z
DTEND:20190212T180000Z
LOCATION:deGrandpre Communications Centre\, Montreal Neurological Institute
 \, CA\, QC\, Montreal\, H3A 2B4\, 3801 rue University
SUMMARY:Seminar Series in Quantitative Life Sciences and Medicine
URL:/qls/channels/event/seminar-series-quantitative-li
 fe-sciences-and-medicine-293930
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