BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//University of Iceland//AI Centre//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:22b6ce1c-15ea-47b4-896e-b9a94a89f7cb@ai.hi.is
DTSTAMP:20261011T141337Z
DTSTART:20251125T090000Z
DTEND:20251125T100000Z
SUMMARY:Beyond Additivity: Statistical Frameworks for Detecting Secondary G
 enetic Effects in Large-Scale Association Studies
DESCRIPTION:Modern biobank-scale datasets allow researchers to move beyond 
 traditional additive GWAS models and interrogate richer layers of genetic 
 architecture. Here we present a comprehensive statistical framework for de
 tecting and interpreting non-additive genetic effects\, together with syst
 ematic scans for variance effects\, trait-correlation effects\, gene–gen
 e interactions\, and gene–environment interactions. We illustrate these 
 approaches with examples from recent large-scale studies of blood lipid tr
 aits and white blood cell traits.\n\nhttps://ai.hi.is/is/events/colloquium
 -in-statistics-and-ai-3/
LOCATION:Íslensk erfðagreining\, Tjarnarsalur
URL:https://ai.hi.is/is/events/colloquium-in-statistics-and-ai-3/
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR