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TZID:America/New_York
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DTSTART:20241103T020000
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TZNAME:EST
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DTSTART:20250309T020000
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DESCRIPTION:Title: Single-cell Polygenic Risk Scores Abstract: Polygenic r
 isk scores (PRSs) predict an individual’s genetic risk for complex diseas
 es\, yet their utility in elucidating disease biology remains limited. In
  this talk\, I will introduce scPRS\, a graph neural network-based framew
 ork that computes single-cell-resolved PRSs by integrating reference sing
 le-cell chromatin accessibility profiles. scPRS outperforms traditional P
 RS approaches in genetic risk prediction\, as demonstrated across multipl
 e diseases including type 2 diabetes\, hypertrophic cardiomyopathy\, Alzh
 eimer disease and severe COVID-19. Beyond risk prediction\, scPRS priorit
 izes disease-critical cells and\, when combined with a layered multiomic 
 analysis\, links risk variants to gene regulation in a cell-type-specific
  manner. Applied to these diseases\, scPRS fine-maps causal cell types an
 d cell-type-specific variants and genes\, demonstrating its ability to br
 idge genetic risk with cell-specific biology. scPRS provides a unified fr
 amework for genetic risk prediction and mechanistic dissection of complex
  diseases\, laying a methodological foundation for single-cell genetics. 
 CME accredited seminar . Information for claiming credit will be provided
  at the start of the session.\n\nSpeaker:\nSai Zhang\n\nAdmission:\nFree\
 n\nFood:\nLunch\n\nDetails URL:\nhttps://medicine.yale.edu/event/bids-gra
 nd-rounds-sai-zhang/\n
DTEND;TZID=America/New_York:20260319T130000
DTSTAMP:20260514T210248Z
DTSTART;TZID=America/New_York:20260319T120000
LOCATION:URL: https://yale.zoom.us/j/95975389943
SEQUENCE:0
STATUS:Confirmed
SUMMARY:BIDS Grand Rounds
UID:1186a130-bf22-4106-bdaa-9a718d232085
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