A fast linkage method for population GWAS cohorts with related individuals.
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| Title: | A fast linkage method for population GWAS cohorts with related individuals. |
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| Authors: | Zajac GJM; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA., Gagliano Taliun SA; Department of Medicine and Department of Neurosciences, Université de Montréal, Montréal, Québec, Canada.; Montréal Heart Institute, Montréal, Québec, Canada., Sidore C; Istituto di Ricerca Genetica e Biomedica - CNR, Cagliari, Italy.; Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy., Graham SE; Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, Michigan, USA., Åsvold BO; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.; Department of Endocrinology, Clinic of Medicine, St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway.; HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway., Brumpton B; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.; HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway.; Clinic of Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway., Nielsen JB; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway., Zhou W; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA., Gabrielsen M; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway., Skogholt AH; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway., Fritsche LG; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA., Schlessinger D; Laboratory of Genetics and Genomics, NIA, NIH, Baltimore, Maryland, USA., Cucca F; Istituto di Ricerca Genetica e Biomedica - CNR, Cagliari, Italy.; Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy., Hveem K; K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.; HUNT Research Centre, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Levanger, Norway.; Department of Medicine, Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway., Willer CJ; Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor, Michigan, USA.; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.; Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, USA., Abecasis GR; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA. |
| Source: | Genetic epidemiology [Genet Epidemiol] 2023 Apr; Vol. 47 (3), pp. 231-248. Date of Electronic Publication: 2023 Feb 05. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, N.I.H., Intramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Wiley-Liss Country of Publication: United States NLM ID: 8411723 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-2272 (Electronic) Linking ISSN: 07410395 NLM ISO Abbreviation: Genet Epidemiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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