Article (Scientific journals)
Systems genetics approaches for understanding complex traits with relevance for human disease.
Allayee, Hooman; Farber, Charles R; Seldin, Marcus M et al.
2023In eLife, 12
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Keywords :
complex traits; computational biology; genetics; genomics; human populations; mouse models; omics; systems biology; systems genetics; Humans; Phenotype; Multifactorial Inheritance/genetics; Systems Biology; Multifactorial Inheritance; Neuroscience (all); Biochemistry, Genetics and Molecular Biology (all); Immunology and Microbiology (all); General Immunology and Microbiology; General Biochemistry, Genetics and Molecular Biology; General Medicine; General Neuroscience
Abstract :
[en] 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.
Disciplines :
Genetics & genetic processes
Author, co-author :
Allayee, Hooman ;  Departments of Population & Public Health Sciences, University of Southern California, Los Angeles, United States ; Biochemistry & Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, United States
Farber, Charles R ;  Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, United States ; Departments of Biochemistry & Molecular Genetics, University of Virginia School of Medicine, Charlottesville, United States ; Public Health Sciences, University of Virginia School of Medicine, Charlottesville, United States
Seldin, Marcus M ;  Department of Biological Chemistry, University of California, Irvine, Irvine, United States
WILLIAMS, Evan  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Gene Expression and Metabolism
James, David E ;  School of Life and Environmental Sciences, University of Sydney, Camperdown, Australia ; Faculty of Medicine and Health, University of Sydney, Camperdown, Australia ; Charles Perkins Centre, University of Sydney, Camperdown, Australia
Lusis, Aldons J ;  Departments of Human Genetics, University of California, Los Angeles, Los Angeles, United States ; Medicine, University of California, Los Angeles, Los Angeles, United States ; Microbiology, Immunology, & Molecular Genetics, David Geffen School of Medicine of UCLA, Los Angeles, United States
External co-authors :
yes
Language :
English
Title :
Systems genetics approaches for understanding complex traits with relevance for human disease.
Publication date :
14 November 2023
Journal title :
eLife
eISSN :
2050-084X
Publisher :
eLife Sciences Publications, Ltd, England
Volume :
12
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
National Institutes of Health
National Institutes of Health
National Institutes of Health
National Institutes of Health
National Institutes of Health
National Institutes of Health
National Institutes of Health
National Institutes of Health
National Institutes of Health
National Institutes of Health
Australian Research Council
National Institutes of Health
National Institutes of Health
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