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UID:20260602T151932EDT-4695FrnHEV@132.216.98.100
DTSTAMP:20260602T191932Z
DESCRIPTION:Going to extremes to improve power - Impact of Extreme Phenotyp
 e Sampling on population stratification.\n\nExtreme Phenotype Sampling (EP
 S) has been proposed as a cost-effective strategy for genetic association 
 studies when the cost of collecting genotype data is high. EPS involves sa
 mpling individuals in the upper and lower percentiles of the phenotype dis
 tribution as the phenotypic extremes are expected to be enriched for causa
 l genetic variants. This design has been shown to have higher power\; howe
 ver\, little attention has been given to the effects of confounding due to
  population stratification under an EPS design.\n	In this presentation\, I 
 will first show how the false positive rate due to confounding is increase
 d under the EPS design when compared to a random sample of equivalent size
 . I will then describe the performance under EPS of a common principal com
 ponent-based approach to correcting for population stratification.\n
DTSTART:20171116T183000Z
DTEND:20171116T193000Z
LOCATION:VCH-2820\, CA\, Université Laval
SUMMARY:Kelly Burkett\, Université d'Ottawa
URL:/mathstat/channels/event/kelly-burkett-universite-
 dottawa-282667
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