Genome-wide survey in African Americans demonstrates potential epistasis of fitness in the human genome.
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| Title: | Genome-wide survey in African Americans demonstrates potential epistasis of fitness in the human genome. |
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| Authors: | Wang H; Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA., Choi Y; Department of Genetics, Stanford University, Stanford, CA, USA., Tayo B; Department of Public Health Science, Loyola University Medical Center, Maywood, IL, USA., Wang X; Departments of Preventive Medicine, Biomedical Informatics, and Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, USA., Morris N; Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA., Zhang X; Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH, USA., Broeckel U; Human and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, USA., Hanis C; Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA., Kardia S; Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA., Redline S; Department of Medicine, Harvard Medical School, Boston, MA, USA., Cooper RS; Department of Public Health Science, Loyola University Medical Center, Maywood, IL, USA., Tang H; Department of Genetics, Stanford University, Stanford, CA, USA., Zhu X; Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA. |
| Source: | Genetic epidemiology [Genet Epidemiol] 2017 Feb; Vol. 41 (2), pp. 122-135. Date of Electronic Publication: 2016 Dec 05. |
| Publication Type: | Journal Article |
| 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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| ISSN: | 1098-2272 |
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| DOI: | 10.1002/gepi.22026 |
