Proteome-wide Systems Genetics to Identify Functional Regulators of Complex Traits

Jeffrey Molendijk; Benjamin L Parker

doi:10.1016/j.cels.2020.10.005

Proteome-wide Systems Genetics to Identify Functional Regulators of Complex Traits

Cell Syst. 2021 Jan 20;12(1):5-22. doi: 10.1016/j.cels.2020.10.005.

Authors

Jeffrey Molendijk¹, Benjamin L Parker²

Affiliations

¹ Department of Physiology, University of Melbourne, Melbourne, VIC 3010, Australia.
² Department of Physiology, University of Melbourne, Melbourne, VIC 3010, Australia. Electronic address: ben.parker@unimelb.edu.au.

PMID: 33476553
DOI: 10.1016/j.cels.2020.10.005

Abstract

Proteomic technologies now enable the rapid quantification of thousands of proteins across genetically diverse samples. Integration of these data with systems-genetics analyses is a powerful approach to identify new regulators of economically important or disease-relevant phenotypes in various populations. In this review, we summarize the latest proteomic technologies and discuss technical challenges for their use in population studies. We demonstrate how the analysis of correlation structure and loci mapping can be used to identify genetic factors regulating functional protein networks and complex traits. Finally, we provide an extensive summary of the use of proteome-wide systems genetics throughout fungi, plant, and animal kingdoms and discuss the power of this approach to identify candidate regulators and drug targets in large human consortium studies.

Keywords: GWAS; forward genetics; genome-wide association studies; pQTL; phenotypic traits; protein quantitative trait loci; proteomics; systems genetics.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Humans
Multifactorial Inheritance
Proteome* / genetics
Proteomics*
Research Design

Substances

Proteome