| Literature DB >> 32294413 |
Youqiong Ye1, Zhao Zhang2, Yaoming Liu2, Lixia Diao3, Leng Han4.
Abstract
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.Mesh:
Year: 2020 PMID: 32294413 DOI: 10.1016/j.tig.2020.01.009
Source DB: PubMed Journal: Trends Genet ISSN: 0168-9525 Impact factor: 11.639