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TZID:America/New_York
X-LIC-LOCATION: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:Understanding the biological mechanisms underlying complex tra
 its requires identifying which variants are causal\, which genes they aff
 ect\, and in which cell types their effects are mediated. In this talk\, 
 I will present complementary approaches developed by our lab to address t
 hese questions. First\, I will describe strategies that resolve individua
 l steps from association to function by prioritizing causal variants\, li
 nking variants to their target genes\, and identifying the cell types thr
 ough which genetic effects act. Second\, I will show how population-scale
  single-cell data allow us to study these dimensions jointly and directly
  connect genetic variation to target genes and relevant cellular contexts
 . Finally\, I will discuss how evolutionary information provides an addit
 ional lens for interpreting complex-trait architecture. I will show how e
 volutionary constraint reveals the influence of negative selection across
  different timescales on complex-trait variation\, and how antagonistic p
 leiotropy can allow high-effect variants to persist despite this selectio
 n. Together\, these approaches illustrate how functional genomic and evol
 utionary information can help move from genetic association to biological
  mechanism.\n\nSpeaker:\nSteven Gazal\, PhD\n\nAdmission:\nFree\n\nDetail
 s URL:\nhttps://medicine.yale.edu/event/gazal/\n
DTEND;TZID=America/New_York:20261026T110000
DTSTAMP:20261021T150331Z
DTSTART;TZID=America/New_York:20261026T100000
GEO:41.304215;-72.931754
LOCATION:1116\, 100 College Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:"Decoding Variant Function Across Genes\, Cell Types\, and Evoluti
 onary Timescales"
UID:ecf7a909-81e0-4c25-a944-3b3c4dfd6e6d
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