Literature DB >> 32294413

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

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.
Copyright © 2020 Elsevier Ltd. All rights reserved.

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


  15 in total

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Review 2.  Where Are the Disease-Associated eQTLs?

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Review 5.  Unique roles of rare variants in the genetics of complex diseases in humans.

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Review 7.  Deep Learning in Head and Neck Tumor Multiomics Diagnosis and Analysis: Review of the Literature.

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Review 9.  Mouse Genetic Reference Populations: Cellular Platforms for Integrative Systems Genetics.

Authors:  Emily Swanzey; Callan O'Connor; Laura G Reinholdt
Journal:  Trends Genet       Date:  2020-09-30       Impact factor: 11.639

Review 10.  Unveiling the Pathogenesis of Psychiatric Disorders Using Network Models.

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Journal:  Genes (Basel)       Date:  2021-07-20       Impact factor: 4.096

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