Pervasive findings of directional selection realize the promise of ancient DNA to elucidate human adaptation.

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Title: Pervasive findings of directional selection realize the promise of ancient DNA to elucidate human adaptation.
Authors: Akbari A; Department of Genetics, Harvard Medical School, Boston, MA, USA.; Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Barton AR; Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Gazal S; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.; Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA., Li Z; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA., Kariminejad M; Shamsipour Technical and Vocational College, Tehran, Iran., Perry A; Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Zeng Y; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.; Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA., Mittnik A; Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany., Patterson N; Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Mah M; Department of Genetics, Harvard Medical School, Boston, MA, USA.; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA., Zhou X; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA., Price AL; Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA., Lander ES; Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Department of Systems Biology, Harvard Medical School, Boston, MA, USA., Pinhasi R; Department of Biology, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA.; Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria., Rohland N; Department of Genetics, Harvard Medical School, Boston, MA, USA.; Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA., Mallick S; Department of Genetics, Harvard Medical School, Boston, MA, USA.; Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, MA, USA., Reich D; Department of Genetics, Harvard Medical School, Boston, MA, USA.; Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA.; Broad Institute of MIT and Harvard, Cambridge, MA, USA.; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2024 Sep 15. Date of Electronic Publication: 2024 Sep 15.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.1101/2024.09.14.613021