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Genome-wide survey in African Americans demonstrates potential epistasis of fitness in the human genome.
Wang, Heming; Choi, Yoonha; Tayo, Bamidele; Wang, Xuefeng; Morris, Nathan; Zhang, Xiang; Broeckel, Uli; Hanis, Craig; Kardia, Sharon; Redline, Susan; Cooper, Richard S; Tang, Hua; Zhu, Xiaofeng.
Afiliação
  • 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.
Genet Epidemiol ; 41(2): 122-135, 2017 Feb.
Article em En | MEDLINE | ID: mdl-27917522
ABSTRACT
The role played by epistasis between alleles at unlinked loci in shaping population fitness has been debated for many years and the existing evidence has been mainly accumulated from model organisms. In model organisms, fitness epistasis can be systematically inferred by detecting nonindependence of genotypic values between loci in a population and confirmed through examining the number of offspring produced in two-locus genotype groups. No systematic study has been conducted to detect epistasis of fitness in humans owing to experimental constraints. In this study, we developed a novel method to detect fitness epistasis by testing the correlation between local ancestries on different chromosomes in an admixed population. We inferred local ancestry across the genome in 16,252 unrelated African Americans and systematically examined the pairwise correlations between the genomic regions on different chromosomes. Our analysis revealed a pair of genomic regions on chromosomes 4 and 6 that show significant local ancestry correlation (P-value = 4.01 × 10-8 ) that can be potentially attributed to fitness epistasis. However, we also observed substantial local ancestry correlation that cannot be explained by systemic ancestry inference bias. To our knowledge, this study is the first to systematically examine evidence of fitness epistasis across the human genome.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Negro ou Afro-Americano / Doenças Cardiovasculares / Marcadores Genéticos / Genoma Humano / Epistasia Genética / Estudo de Associação Genômica Ampla / Modelos Genéticos Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Genet Epidemiol Assunto da revista: EPIDEMIOLOGIA / GENETICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Negro ou Afro-Americano / Doenças Cardiovasculares / Marcadores Genéticos / Genoma Humano / Epistasia Genética / Estudo de Associação Genômica Ampla / Modelos Genéticos Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Genet Epidemiol Assunto da revista: EPIDEMIOLOGIA / GENETICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos