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Systems genetics approaches for understanding complex traits with relevance for human disease.
Allayee, Hooman; Farber, Charles R; Seldin, Marcus M; Williams, Evan Graehl; James, David E; Lusis, Aldons J.
Afiliação
  • Allayee H; Departments of Population & Public Health Sciences, University of Southern California, Los Angeles, United States.
  • Farber CR; Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, United States.
  • Seldin MM; Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, United States.
  • Williams EG; Departments of Biochemistry & Molecular Genetics, University of Virginia School of Medicine, Charlottesville, United States.
  • James DE; Public Health Sciences, University of Virginia School of Medicine, Charlottesville, United States.
  • Lusis AJ; Department of Biological Chemistry, University of California, Irvine, Irvine, United States.
Elife ; 122023 11 14.
Article em En | MEDLINE | ID: mdl-37962168
ABSTRACT
Quantitative traits are often complex because of the contribution of many loci, with further complexity added by environmental factors. In medical research, systems genetics is a powerful approach for the study of complex traits, as it integrates intermediate phenotypes, such as RNA, protein, and metabolite levels, to understand molecular and physiological phenotypes linking discrete DNA sequence variation to complex clinical and physiological traits. The primary purpose of this review is to describe some of the resources and tools of systems genetics in humans and rodent models, so that researchers in many areas of biology and medicine can make use of the data.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Herança Multifatorial / Biologia de Sistemas Limite: Humans Idioma: En Revista: Elife Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Herança Multifatorial / Biologia de Sistemas Limite: Humans Idioma: En Revista: Elife Ano de publicação: 2023 Tipo de documento: Article