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DTSTAMP:20260307T212653Z
DESCRIPTION:Lin Zhang\, PhD\n\nAssistant Professor of the Department of Sta
 tistics and Actuarial Science| Simon Fraser University\n\nWHEN: Wednesday\
 , April 1\, 2026\, from 3:30 to 4:30 p.m.\n	WHERE: Hybrid | 2001 Â鶹´«Ã½ÍøÕ¾ Col
 lege Avenue\, Rm 1140\; Zoom\n	NOTE: Lin Zhang will be presenting in-person
  at SPGH \n\nAbstract\n\nHow to best perform Hardy-Weinberg equilibrium (H
 WE) testing for an X chromosomal SNP is not clear\, even using a sample of
  unrelated individuals. One simple strategy is to use female data only and
  apply the Pearson’s chi-square test. Alternatively\, earlier work has pro
 posed a 2 d.f. test that includes the deviation of observed male genotype 
 counts from the expected\, based on the pooled allele frequency estimated 
 using both sexes. Here we propose a new regression-based method that (a) a
 nalyzes both autosomal and X chromosomal SNPs\, (b) adjusts for covariate 
 effects if needed\, (c) analyzes related individuals\, (d) analyzes sample
 s from multiple populations\, (e) includes the existing tests as special c
 ases\, and (f) leads to the development of new tests. The proposed method 
 builds from our recent robust allele-based (RA) regression method develope
 d for conducting allelic association analysis. The RA-based framework for 
 X chromosomal SNPs is flexible and versatile to develop new tests that are
  robust to sex differences in allele frequency (sdMAF)\, and is suitable f
 or analyzing variants subject to sex-specific selection. We illustrate the
  proposed method by application to high coverage whole genome sequence dat
 a from the 1000 Genomes Project.\n\nSpeaker Bio\n\nDr. Lin Zhang is an Ass
 istant Professor of the Department of Statistics and Actuarial Science at 
 Simon Fraser University. Her research interest lies in solving genomic pro
 blems using statistics and machine learning algorithms\, with a special fo
 cus on heterogeneous genetic data and single-cell multi-omics data. \n
DTSTART:20260401T193000Z
DTEND:20260401T203000Z
SUMMARY:A Unifying Regression-based Framework for X-chromosome Inclusive Ha
 rdy–Weinberg Equilibrium Test
URL:/spgh/channels/event/unifying-regression-based-fra
 mework-x-chromosome-inclusive-hardy-weinberg-equilibrium-test-371786
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