eLife (Nov 2023)

Systems genetics approaches for understanding complex traits with relevance for human disease

  • Hooman Allayee,
  • Charles R Farber,
  • Marcus M Seldin,
  • Evan Graehl Williams,
  • David E James,
  • Aldons J Lusis

DOI
https://doi.org/10.7554/eLife.91004
Journal volume & issue
Vol. 12

Abstract

Read online

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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