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UID:20250625T111706EDT-3060PvxDph@132.216.98.100
DTSTAMP:20250625T151706Z
DESCRIPTION:'Ancestry attracts\, but love is blind: Evaluation of structure
 d mating'\n\nJosee Dupuis (Boston University\, School of Public Health)\n	T
 uesday October 23\, 12-1pm\n	McIntyre Building\, Room 1027\n	\n	Abstract: Gen
 etic similarity of spouses can reflect factors influencing mate choice\, s
 uch as physical/behavioral characteristics\, and social customs. Spouse co
 rrelations for both genetic ancestry and measured traits may impact genoty
 pe distributions (Hardy Weinberg and linkage equilibrium)\, and therefore 
 genetic association studies. We evaluate white spouse-pairs from the Frami
 ngham Heart Study original and offspring cohorts to explore spousal geneti
 c similarity and its consequences. Genetic ancestry was measured using pri
 ncipal components (PCs) of the genome-wide association genotypes\, with th
 e first PC (PC1) delineating clines of Northern/Western to Southern Europe
 an ancestry and the second (PC2) delineating clines Ashkenazi Jewish ances
 try. In the original (older) cohort\, there was a striking positive correl
 ation between the spouses in PC1 (correlation coefficient (r) = 0.73\, P =
  3x10-22) and also for PC2 (r = 0.80\, P = 7x10-29). In the offspring coho
 rt\, the spouse correlations were lower but still highly significant for P
 C1 (r = 0.38\, P = 7x10-28) and for PC2 (r = 0.45\, P = 2x10-39). We obser
 ved significant Hardy-Weinberg disequilibrium for single nucleotide polymo
 rphisms (SNPs) with high weights for PC1 and PC2 across 3 generations\, de
 creasing with time\, consistent with reduced ancestral endogamy over gener
 ations. Spouse genetic similarity could be fully attributed to ancestral a
 ssortative mating. We conclude with a discussion of the implication of the
 se findings on studies of heritability and genome-wide association studies
 .\n
DTSTART:20181023T160000Z
DTEND:20181023T170000Z
LOCATION:Room 1027\, McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1
 Y6\, 3655 promenade Sir William Osler
SUMMARY:Seminar Series in Quantitative Life Sciences and Medicine
URL:/qls/channels/event/seminar-series-quantitative-li
 fe-sciences-and-medicine-289490
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