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.
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
Scopus citations®
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