Assessing efficiency of fine-mapping obesity-associated variants through leveraging ancestry architecture and functional annotation using PAGE and UKBB cohorts.
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| Title: | Assessing efficiency of fine-mapping obesity-associated variants through leveraging ancestry architecture and functional annotation using PAGE and UKBB cohorts. |
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| Authors: | Anwar MY; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA. myaser@unc.edu., Graff M; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA., Highland HM; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA., Smit R; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA., Wang Z; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA., Buchanan VL; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA., Young KL; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA., Kenny EE; Icahn School of Medicine at Mount Sinai, New York, NY, USA., Fernandez-Rhodes L; Department of Biobehavioral Health, College of Health and Human Development, Pennsylvania State University, University Park, PA, 16802, USA., Liu S; Department of Epidemiology and Center for Global Cardiometabolic Health, School of Public Health, Brown University, Providence, RI, 02903, USA., Assimes T; Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA., Garcia DO; Department of Health Promotion Sciences, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, 85724, USA., Daeeun K; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA., Gignoux CR; Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA., Justice AE; Department of Population Health Sciences, Geisinger Health, Danville, PA, 17822, USA., Haiman CA; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA., Buyske S; Department of Statistics, Rutgers University, Piscataway, NJ, 08854, USA., Peters U; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA., Loos RJF; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA., Kooperberg C; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA., North KE; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA. |
| Source: | Human genetics [Hum Genet] 2023 Oct; Vol. 142 (10), pp. 1477-1489. Date of Electronic Publication: 2023 Sep 01. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7613873 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1203 (Electronic) Linking ISSN: 03406717 NLM ISO Abbreviation: Hum Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-1203 |
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| DOI: | 10.1007/s00439-023-02593-7 |
