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DESCRIPTION:Title: Inferring signatures of intermixing and adaptation in hu
 man populations using genetic variation data\n\nAbstract: Garrett is an As
 sociate Professor at University College London\, working in the UCL Geneti
 cs Institute (UGI). He received his undergraduate degree in Mathematics at
  Santa Clara University. He then completed his PhD in Statistics at the Un
 iversity of Washington\, followed by postdoctoral positions in the labs of
  Jotun Hein and Peter Donnelly at University of Oxford and the Wellcome Tr
 ust Centre for Human Genetics (WTCHG). His current interests include (i) i
 nferring population structure and ancestry in world-wide populations\, inc
 luding countries in east and west Africa\, and how this relates to histori
 cal events\, (ii) pinpointing genetic loci facilitating humans' adaptation
 s to new environments\, and (iii) identifying loci whose methylation marki
 ngs are likely established in the early embryo\, sensitive to prenatal env
 ironmental exposures and implicated in lifelong health outcomes.\n\n\nI de
 scribe statistical techniques developed with colleagues that leverage gene
 tic variation data to identify and date past events when different human p
 opulations intermixed. Applying our approach to large-scale genome-wide da
 ta resources from >100 world-wide populations\, we infer dozens of intermi
 xing episodes occurring within the last 4\,000 years among geographically 
 separated human groups. Many of these events align with well-attested hist
 orical empires and migrations\, though I demonstrate how such genetics-bas
 ed inference can also unearth previously unknown interactions and help res
 olve archeological/anthropological controversies. Furthermore\, I illustra
 te a new technique that uses these intermixing signatures to identify gene
 tic variants that have facilitated humans' ability to adapt to new environ
 ments\, while determining whether this adaptation occurred before or after
  the intermixing. In an analysis of ~4\,000 Latin Americans\, we infer ada
 ptation signatures at different timescales\, incorporating results from re
 cent expression quantitative loci (eQTL) and genome-wide association (GWAS
 ) studies to link these signatures to immune and metabolic phenotypes. Exa
 mples include evidence of recent adaptive responses plausibly related to i
 nfectious disease pressures brought by European contact\, and of older ada
 ptive responses to pregnancy complications associated with living at high 
 elevation. Résumé Garrett is an Associate Professor at University College 
 London\, working in the UCL Genetics Institute (UGI). He received his unde
 rgraduate degree in Mathematics at Santa Clara University. He then complet
 ed his PhD in Statistics at the University of Washington\, followed by pos
 tdoctoral positions in the labs of Jotun Hein and Peter Donnelly at Univer
 sity of Oxford and the Wellcome Trust Centre for Human Genetics (WTCHG). H
 is current interests include (i) inferring population structure and ancest
 ry in world-wide populations\, including countries in east and west Africa
 \, and how this relates to historical events\, (ii) pinpointing genetic lo
 ci facilitating humans' adaptations to new environments\, and (iii) identi
 fying loci whose methylation markings are likely established in the early 
 embryo\, sensitive to prenatal environmental exposures and implicated in l
 ifelong health outcomes.\n\n\nI describe statistical techniques developed 
 with colleagues that leverage genetic variation data to identify and date 
 past events when different human populations intermixed. Applying our appr
 oach to large-scale genome-wide data resources from >100 world-wide popula
 tions\, we infer dozens of intermixing episodes occurring within the last 
 4\,000 years among geographically separated human groups. Many of these ev
 ents align with well-attested historical empires and migrations\, though I
  demonstrate how such genetics-based inference can also unearth previously
  unknown interactions and help resolve archeological/anthropological contr
 oversies. Furthermore\, I illustrate a new technique that uses these inter
 mixing signatures to identify genetic variants that have facilitated human
 s' ability to adapt to new environments\, while determining whether this a
 daptation occurred before or after the intermixing. In an analysis of ~4\,
 000 Latin Americans\, we infer adaptation signatures at different timescal
 es\, incorporating results from recent expression quantitative loci (eQTL)
  and genome-wide association (GWAS) studies to link these signatures to im
 mune and metabolic phenotypes. Examples include evidence of recent adaptiv
 e responses plausibly related to infectious disease pressures brought by E
 uropean contact\, and of older adaptive responses to pregnancy complicatio
 ns associated with living at high elevation.\n\n \n\nVia Zoom: https://mcg
 ill.zoom.us/j/84499453174?pwd=dVc5RkYreVlpV3BnQjNhU244VzJoQT09\n\n \n
DTSTART:20220126T203000Z
DTEND:20220126T213000Z
SUMMARY:Garrett Hellenthal\, PhD\, University College London
URL:https://www.mcgill.ca/mathstat/channels/event/garrett-hellenthal-phd-un
 iversity-college-london-336447
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