Genome-wide association study between SARS-CoV-2 single nucleotide polymorphisms and virus copies during infections.
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| Title: | Genome-wide association study between SARS-CoV-2 single nucleotide polymorphisms and virus copies during infections. |
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| Authors: | Li K; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America., Chaguza C; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America., Stamp J; Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America., Chew YT; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America., Chen NFG; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America., Ferguson D; Department of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Yale School of Medicine Biorepository, Yale University, New Haven, Connecticut, United States of America., Pandya S; Department of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Yale School of Medicine Biorepository, Yale University, New Haven, Connecticut, United States of America., Kerantzas N; Department of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Yale School of Medicine Biorepository, Yale University, New Haven, Connecticut, United States of America., Schulz W; Department of Laboratory Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.; Yale School of Medicine Biorepository, Yale University, New Haven, Connecticut, United States of America., Hahn AM; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America., Ogbunugafor CB; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America.; Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America.; Santa Fe Institute, Santa Fe, New Mexico, United States of America., Pitzer VE; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America., Crawford L; Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America.; Department of Biostatistics, Brown University, Providence, Rhode Island, United States of America.; Microsoft Research, Cambridge, Massachusetts, United States of America., Weinberger DM; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America., Grubaugh ND; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.; Public Health Modeling Unit, Yale School of Public Health, New Haven, Connecticut, United States of America.; Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America. |
| Corporate Authors: | Yale SARS-CoV-2 Genomic Surveillance Initiative |
| Source: | PLoS computational biology [PLoS Comput Biol] 2024 Sep 17; Vol. 20 (9), pp. e1012469. Date of Electronic Publication: 2024 Sep 17 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1012469 |
