Author

George Hripcsak

NewYork–Presbyterian Hospital

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 1

Signature Assays, Organisms & Methods

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Assay:electronic health records· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexandre Yahi· 1 shared David B. GoldsteiniD· 1 shared David K. Vawdrey· 1 shared Eimear E. KennyiD· 1 shared Fernanda C. G. PolubriaginofiD· 1 shared Gillian M. BelbiniD· 1 shared Hojjat Salmasian· 1 shared Iuliana Ionita-Laza· 1 shared

Activity by Year

2017-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetics

Alexandre Yahi

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1 paper

Recent·Most cited

Estimate of disease heritability using 7.4 million familial relationships inferred from electronic health records

Fernanda C. G. Polubriaginof, Rami Sesha Vanguri, Kayla Quinnies, Gillian M. Belbin, Alexandre Yahi, Hojjat Salmasian, Tal Lorberbaum, Victor Nwankwo, Li Li, Mark Shervey, Patricia Glowe, Iuliana Ionita-Laza, Mary C. Simmerling, George Hripcsak, Suzanne Bakken Henry, , Nicholas P. Tatonetti

The paper uses next-of-kin data from electronic health records to estimate heritability for 500 disease phenotypes, finding results consistent with existing literature.

bioRxiv · May 24, 2017 · PreprintGenetics