D
David Reich
Researcher at Icahn School of Medicine at Mount Sinai
Publications - 695
Citations - 107008
David Reich is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Population & Ancient DNA. The author has an hindex of 137, co-authored 644 publications receiving 91397 citations. Previous affiliations of David Reich include Mount Sinai St. Luke's and Mount Sinai Roosevelt & Howard Hughes Medical Institute.
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Journal ArticleDOI
Accelerated genetic drift on chromosome X during the human dispersal out of Africa
TL;DR: It is concluded that a sex-biased process that reduced the female effective population size, or an episode of natural selection unusually affecting chromosome X, was associated with the founding of non-African populations.
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Reconstructing Austronesian population history in Island Southeast Asia
Mark Lipson,Po-Ru Loh,Nick Patterson,Priya Moorjani,Ying-Chin Ko,Mark Stoneking,Bonnie Berger,David Reich +7 more
TL;DR: It is shown that all sampled Austronesian groups harbour ancestry that is more closely related to aboriginal Taiwanese than to any present-day mainland population, suggesting that either there was once a substantial Austro-Asiatic presence in Island Southeast Asia, orAustronesian speakers migrated to and through the mainland, admixing there before continuing to western Indonesia.
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The contribution of rare variation to prostate cancer heritability
Nicholas Mancuso,Nadin Rohland,Nadin Rohland,Kristin A. Rand,Arti Tandon,Arti Tandon,Alexander Allen,Alexander Allen,Dominique Quinque,Dominique Quinque,Swapan Mallick,Swapan Mallick,Heng Li,Heng Li,Alex Stram,Xin Sheng,Zsofia Kote-Jarai,Douglas F. Easton,Rosalind A. Eeles,Rosalind A. Eeles,Loic Le Marchand,Alex Lubwama,Daniel O. Stram,Stephen Watya,David V. Conti,Brian E. Henderson,Christopher A. Haiman,Bogdan Pasaniuc,David Reich,David Reich +29 more
TL;DR: In this paper, the authors reported targeted sequencing of 63 known prostate cancer risk regions in a multi-ancestry study of 9,237 men and used the data to explore the contribution of low-frequency variation to disease risk.
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The ascending aorta: how much does transesophageal echocardiography see?
TL;DR: Even biplane TEE may have limited use in the precannulation assessment of the aorta for plaque and the detection of distal ascending aortic pathology, according to patients studied during cardiac surgery.
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Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.
Akhil Vaid,Sulaiman Somani,Adam Russak,Jessica K De Freitas,Fayzan Chaudhry,Ishan Paranjpe,Kipp W. Johnson,Samuel J. Lee,Riccardo Miotto,Felix Richter,Shan Zhao,Noam D. Beckmann,Nidhi Naik,Arash Kia,Prem Timsina,Anuradha Lala,Manish Paranjpe,Eddye Golden,Matteo Danieletto,Manbir Singh,Dara Meyer,Paul F. O'Reilly,Laura M. Huckins,Patricia Kovatch,Joseph Finkelstein,Robert Freeman,Edgar Argulian,Andrew Kasarskis,Bethany Percha,Judith A. Aberg,Emilia Bagiella,Carol R. Horowitz,Barbara Murphy,Eric J. Nestler,Eric E. Schadt,Judy H. Cho,Carlos Cordon-Cardo,Valentin Fuster,Dennis S. Charney,David Reich,Erwin P. Bottinger,Erwin P. Bottinger,Matthew A. Levin,Jagat Narula,Zahi A. Fayad,Allan C. Just,Alexander W. Charney,Girish N. Nadkarni,Benjamin S. Glicksberg +48 more
TL;DR: Externally and prospectively trained and validated machine learning models for mortality and critical events for patients with COVID-19 at different time horizons were developed and established model interpretability to identify and rank variables that drive model predictions.