Group of genetic epidemiologists @Stanford

Stanford, CA
Joined August 2014
GWAS and TWAS analyses of 28 antigens for 16 viruses uncover associations outside of the HLA region, including genes in pathways implicated in cancer susceptibility and immunotherapy.
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This panel includes 7,034 coding and noncoding variants without a priori patient-specific tumor mutation information, and uses UMIs to suppress technical errors arising from library prep and sequencing.
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@johnwitte presents a summary of recent @WitteLab PRS work at #BoG2020. If you are interested in discussions of PRS transferability in non-European and admixed populations visit #poster65 by PhD student @taylorbcavazos
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Witte Lab Retreat 2019 - hike to Alamere falls 馃寠馃殣
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Great talk by @Linda_Kachuri highlighting the interplay between PRS, family history, and modifiable risk factors across cancer. #ASHG19 #ASHGtrainee @UCSF_Epibiostat
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Replying to @UCSF
Congrats to Kevin Keys (@_klkeys_ ) on being a semi-finalist and your excellent talk today!
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A big congratulations to @WitteLab post doc @Linda_Kachuri for receiving the Epstein award! Head to Session #49 to learn about her pan-cancer @uk_biobank analysis #ASHG19 #ASHGtrainee @UCSFCancer @UCSF_Epibiostat
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Don't miss the chance to talk with @WitteLab post doc Travis Meyers (poster #2826) today from 3-4pm about his GWAS of autoimmune thyroid disease. @UCSF_Epibiostat #ASHG19 #ASHGtrainee
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Visit @WitteLab PhD student, Taylor Cavazos at her poster (#2259) today from 2-3pm to discuss polygenic risk score performance in admixed individuals! @UCSFGradDiv @ucsfipqb #ASHG19 #ASHGtrainee
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We are hiring! Opportunities for statistical genetics, genetic epidemiology, and cancer genomics. 馃К Looking for a highly motivated and enthusiastic person to join our team! See job posting attached.