BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CREST - ECPv5.1.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CREST
X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20180325T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20181028T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20181128T120000
DTEND;TZID=Europe/Paris:20181128T130000
DTSTAMP:20260909T164921
CREATED:20181123T104754Z
LAST-MODIFIED:20181123T104754Z
UID:12163-1543406400-1543410000@crest.science
SUMMARY:Felix TROPF (University of Oxford) - "How gene-environment interaction shapes genetic discovery in the social sciences"
DESCRIPTION:\nThe Sociology Seminar: Thursdays\nTime: 12:00 pm – 1:00 pm\nDate: 28th of November 2018 Wednesday exceptionnally\nPlace: Room 3105\, ENSAE.\nFelix TROPF (University of Oxford) – “How gene-environment interaction shapes genetic discovery in the social sciences“\nAbstract : The emerging field of sociogenomics has great potential to improve empirical\, quantitative social science research. Genetic scores measuring an individual’s genetic predisposition for a trait can be used to control for genetic confounding in statistical models\, to estimate the differential individual response to (social) environmental conditions\, to increase power for the estimation of social science determinants and as instrumental variables in causal analysis of associations between social science variables. Genetic scores derived from genome-wide association studies\, however\, explain only a fraction of what we would expect based on heritability estimates obtained from whole-genome studies on single populations\, known as the ‘hidden heritability’ puzzle. Using seven sampling populations (n=35\,062)\, we test whether hidden heritability is attributed to heterogeneity across sampling populations and time\, showing that estimates are substantially smaller across populations compared with within populations. We show that the hidden heritability varies substantially: from zero for height to 20% for body mass index\, 37% for education\, 40% for age at first birth and up to 75% for number of children. Simulations demonstrate that our results are more likely to reflect heterogeneity in phenotypic measurement or gene–environment interactions than genetic heterogeneity. These findings have substantial implications for genetic discovery\, suggesting that large homogenous datasets are required for behavioural phenotypes and that gene–environment interaction may be a central challenge for genetic discovery. Nonetheless\, the potential for implementing genetic scores based on such studies into social science research remains immense.\nOrganizers : \nJeanne GANAULT\, Céline GOFFETTE\, Sander WAGNER (Laboratoire de sociologie quantitative – CREST)\nSponsors :\nCREST\n\n
URL:https://crest.science/event/sarah-valdez-tba-2-2-2-2-2-2-2-3/
CATEGORIES:Sociology
ATTACH;FMTTYPE=:
END:VEVENT
END:VCALENDAR