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A Multi-Omics Perspective of Quantitative Trait Loci in Precision Medicine

Journal

TRENDS IN GENETICS
Volume 36, Issue 5, Pages 318-336

Publisher

ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tig.2020.01.009

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Funding

  1. Cancer Prevention AMP
  2. Research Institute of Texas [RR150085, RP190570]

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Quantitative trait loci (QTL) analysis is an important approach to investigate the effects of genetic variants identified through an increasing number of large-scale, multidimensional 'omics data sets. In this 'big data' era, the research community has identified a significant number of molecular QTLs (molQTLs) and increased our understanding of their effects. Herein, we review multiple categories of molQTLs, including those associated with transcriptome, post-transcriptional regulation, epigenetics, proteomics, metabolomics, and the microbiome. We summarize approaches to identify molQTLs and to infer their causal effects. We further discuss the integrative analysis of molQTLs through a multi-omics perspective. Our review highlights future opportunities to better understand the functional significance of genetic variants and to utilize the discovery of molQTLs in precision medicine.

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