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X-WR-CALNAME:CANSSI Ontario STAGE
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UID:MEC-33d3b157ddc0896addfb22fa2a519097@stage.utoronto.ca
DTSTART:20170601T130000Z
DTEND:20170601T140000Z
DTSTAMP:20250624T215100Z
CREATED:20250624
LAST-MODIFIED:20260316
PRIORITY:5
SEQUENCE:109
TRANSP:OPAQUE
SUMMARY:STAGE ISSS: Neil Risch
DESCRIPTION:\nJoin us for the next instalment of the STAGE International Speaker Seminar Series (ISSS) with\n\n\n\nNeil Risch\n\n\n\nLamond Family Foundation Distinguished Professor in Human GeneticsDirector, Institute for Human GeneticsProfessor, Epidemiology and BiostatisticsUniversity of California, San FranciscoAdjunct InvestigatorKaiser Permanente Division of Research, Oakland, California\n\n\n\nTalk Title:\n\n\n\nGenetic Epidemiology Research Based in Electronic Health Records, Part 1. Population Structure, Mating Patterns and Self-identified Race/Ethnicity\n\n\n\nAbstract:\n\n\n\nThese two talks will focus primarily on the Kaiser Permanente Northern California Research  Program on Genes, Environment and Health (RPGEH), and the Genetic Epidemiology Research  on Adult Health and Aging (GERA) cohort derived therefrom. This multi-ethnic cohort, established  in 2005, is representative of Northern California and contains over 100,000 individuals with  comprehensive electronic health record data that dates back over 20 years for most individuals. In 2009, genome-wide genotype and telomere length data were added through an NIH Grand  Opportunity Award, facilitating genetic epidemiologic research on a large scale. \n\n\n\nIn the first of the two lectures, we will focus on the demographic structure of this cohort, which  contains a large number of spouse, parent-child and sibling pairs. We show the relationship  between how individuals self-identify in terms of race/ethnicity/nationality and their genetic  ancestry, and also mating patterns that have and continue to determine the population genetic  structure of the sample.\n\n\n\n In the second of the two lectures, we will focus on the application of the genome-wide genotype  and telomere data to a number of disease and clinical trait outcomes. The resource includes all  aspects of care, including laboratory tests, pathology reports, physiologic tests and pharmacy  prescription data, in addition to clinical diagnoses. Through examples, we demonstrate  the power of this clinically homogeneous resource for gene discovery, as well as gene  characterization through longitudinal analyses based in the EHR data. We also provide examples  of cross-ethnic analyses, pleiotropy, pharmacogenetics and heritability\n\n\n\nSpeaker Profile:\n\n\n\nUnavailable\n\n\n\nSpeaker Poster:\n\n\n\n\n\n\n\nNeil Risch Poster ( https://stage.utoronto.ca/wp-content/uploads/2025/07/Neil-Risch-talks-1.pdf )Download\n\n\n\n\n\n\n\nPhotography Disclosure:\n\n\n\nPhotographs and/or video may be taken of participants at STAGE events. These photos/videos are for the Program’s use only and may appear on its website, in printed brochures, or in other promotional or reporting materials. By attending STAGE events, you accept the possibility that you may be videotaped or photographed. If you have any concerns, please inform us by sending an e-mail to esther.berzunza@utoronto.ca\n
URL:https://stage.utoronto.ca/events/stage-isss-neil-risch/
ORGANIZER;CN=CANSSI Ontario:MAILTO:esther.berzunza@utoronto.ca
CATEGORIES:CANSSI Ontario STAGE ISSS
LOCATION:686 Bay Street, Toronto, ON
ATTACH;FMTTYPE=image/png:https://stage.utoronto.ca/wp-content/uploads/2025/06/Risch-Neil.png
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