Detecting fitness epistasis in recently admixed populations with genome-wide data.

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Title: Detecting fitness epistasis in recently admixed populations with genome-wide data.
Authors: Ni X; Department of Mathematics, School of Science, Beijing Jiaotong University, Beijing, 100044, China.; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA., Zhou M; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA., Wang H; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA., He KY; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, 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; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and 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, 94305, USA., Zhu X; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, 44106, USA. xxz10@case.edu.
Source: BMC genomics [BMC Genomics] 2020 Jul 11; Vol. 21 (1), pp. 476. Date of Electronic Publication: 2020 Jul 11.
Publication Type: Journal Article; Meta-Analysis
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164 (Electronic) Linking ISSN: 14712164 NLM ISO Abbreviation: BMC Genomics Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1471-2164
DOI:10.1186/s12864-020-06874-7