G. Jarvik
9 Papers
G. Jarvik is an academic researcher. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 1, co-authored 5 publications.
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Papers
Inference of causal relationships based on the genetics of cardiometabolic traits and conditions unique to females in >50,000 participants
Bowei Xiao,Digna R. Velez Edwards,Anastasia Lucas,Theodore G. Drivas,Kent A. Gray,Brendan J. Keating,Chen Weng,G. Jarvik,Hakon Hakonarson,Leah C. Kottyan,Noémie Elhadad,Regeneron Genetics Center,W.-q. Wei,Y Ruben Luo,D. Kim,Marylyn D. Ritchie,Shefali S. Verma +16 more
TL;DR: Polygenic susceptibility to cardiometabolic traits is associated with conditions unique to females and individuals with high PRS are also more likely to develop conditions such as PCOS and gestational hypertension at earlier ages.
The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities
Eric Venner,Karynne E. Patterson,Divya Kalra,Marsha M. Wheeler,Y.-J. Chen,Salima Kalla,B. Yuan,Jason H. Karnes,Kimberly Walker,J. Smith,Sean McGee,Anjana Radhakrishnan,Anis Haddad,P. Empey,Q. Wang,G. Jarvik,Diana M. Toledo,Anjene Musick,Raphael Gibbs,The All of Us Research Program +19 more
TL;DR: In this article , the authors grouped participants by computed genetic ancestry and summarized the frequency of pathogenic variation within these groups and found that the European subgroup showed the highest rate of pathogen variation (2.1%), with other ancestry groups ranging from 1.04% (East Asian) to 1.87% ('Other').
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Genetic Predictors of Blood Pressure Traits are Associated with Preeclampsia
Elizabeth A. Jasper,Jacklyn N. Hellwege,Joseph H. Breeyear,B. Xiao,G. Jarvik,Ian B. Stanaway,Kathleen A. Leppig,Geetha Chittoor,M. Geoffrey Hayes,Ozan Dikilitas,I. Kullo,I. Holm,Shefali S. Verma,Todd L. Edwards,Digna R. Velez Edwards +14 more
TL;DR: Giri et al. as mentioned in this paper evaluated the association of polygenic risk scores (PRS) for blood pressure traits and preeclampsia to assess whether there is shared genetic architecture.
Enhancing Genetic Association Power in Endometriosis through Unsupervised Clustering of Clinical Subtypes Identified from Electronic Health Records
L. A. Guare,L. A. Humphries,M. Rush,M. Pollie,Y. Luo,C. Weng,W.-Q. Wei,L. Kottyan,G. Jarvik,N. Elhadad,Penn Medicine Biobank,Regeneron Genetics Center,K. Zondervan,S. Missmer,M. Vujkovic,Digna R. Velez Edwards,S. Senapati,S. Setia-Verma +17 more
TL;DR: This study enhances the understanding of the clinical presentation patterns of endometriosis subtypes, showcasing the innovative approach employed to investigate this complex disease.
Mixed-effects polygenic risk score Phenome-wide association study detects genetic correlation between colorectal cancer risk and phenotype data extracted from the electronic health record
E. A. Rosenthal,W.-q. Wei,Y. Luo,B. Namjou-Khales,D. Schaid,E. D. Esplin,M. Lape,L. Kottyan,J. A. P. A. Pacheco,Ching Ho Weng,A. Gordon,I.J. Kullo,D. Crosslin,W. M. Grady,L. Hsu,U. Peters,G. Jarvik +16 more