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for an opportunity to learn and network!\u00a0Who are these sessions for?\u00a0These sessions are tailored for Registered Nursingstudents or RN graduates with less than one year of professional nursing experience.\u00a0Mark your calendar & join the discussions.\u00a0 Pick one event or multiple events!\u00a0RSVP at the link below for the session(s) you would like to attend by the designated deadline.\u00a0 Links to join the session will be sent to all RSVPs the afternoon prior to the session.\u00a0\u00a0Lunch & Learn: During the Lunch & Learn sessions, the Sentara RN Student Liaison will answer all your questions about Sentara, our Nurse Residency Program, how to apply, and more:\u00a0Monday, September 8, 12 noon, EST.\u00a0 RSVP by noon, 9\/7\/25 at https:\/\/www.surveymonkey.com\/r\/XC8RGC2Thursday, October 9, 12 Noon EST.\u00a0 RSVP by noon, 10\/8\/25 athttps:\/\/www.surveymonkey.com\/r\/TMRD2MMThursday, November 6, 12 Noon EST.\u00a0 RSVP by noon, 11\/5\/25 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Misinterpreting admixture\u2019s impact can have significant consequences for biomedical research. This study employs advanced computational biology to investigate how admixture shapes the genetic architecture of complex traits and influences GWAS outcomes. Using the forward-in-time population genetic simulator SLiM, we model trait evolution under admixture by varying the relationship between causal variant effect sizes and selection coefficients while accounting for population size changes and migration across five admixture scenarios. \r\n\r\nOur findings reveal that GWAS power is influenced by genetic architecture and population demographic history. Traits with weak correlations between effect size and fitness (e.g., anthropometric traits) show higher GWAS power compared to traits with stronger correlations (e.g., genetic diseases). Populations with recent bottlenecks exhibit higher GWAS power, highlighting the role of rare variants. 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