Expression quantitative trait locus analysis for translational medicine.

Expression quantitative trait locus analysis for translational medicine.
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DOI:
10.1186/s13073-015-0186-7
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发表时间:
2015
期刊:
影响因子:
12.3
通讯作者:
Marigorta UM
Marigorta UM
中科院分区:
生物学1区
文献类型:
--
作者:
Gibson G;Powell JE;Marigorta UM

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Expression quantitative trait locus analysis has emerged as an important component of efforts to understand how genetic polymorphisms influence disease risk and is poised to make contributions to translational medicine. Here we review how expression quantitative trait locus analysis is aiding the identification of which gene(s) within regions of association are causal for a disease or phenotypic trait; the narrowing down of the cell types or regulators involved in the etiology of disease; the characterization of drivers and modifiers of cancer; and our understanding of how different environments and cellular contexts can modify gene expression. We also introduce the concept of transcriptional risk scores as a means of refining estimates of individual liability to disease based on targeted profiling of the transcripts that are regulated by polymorphisms jointly associated with disease and gene expression.
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