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Decoding polygenic diseases: advances in noncoding variant prioritization and validation

delete2024-06-01
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PRE
AI
I
Iris M. Chin
Z
Zachary A. Gardell
M
M. Ryan Corces *
DOI:10.1016/j.tcb.2024.03.005delete
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Abstract

Abstract

En 中文
Genome-wide association studies (GWASs) provide a key foundation for elucidating the genetic underpinnings of common polygenic diseases. However, these studies have limitations in their ability to assign causality to particular genetic variants, especially those residing in the noncoding genome. Over the past decade, technological and methodological advances in both analytical and empirical prioritization of noncoding variants have enabled the identification of causative variants by leveraging orthogonal functional evidence at increasing scale. In this review, we present an overview of these approaches and describe how this workflow provides the groundwork necessary to move beyond associations toward genetically informed studies on the molecular and cellular mechanisms of polygenic disease.
Keywords:
CAUSAL VARIANTS
CHROMATIN ACCESSIBILITY
GENE-EXPRESSION
RISK VARIANTS
ENHANCER
IDENTIFICATION
ORGANOIDS
SELECTION
SIGNALS
SCREEN

Journal

Trends in Cell Biology cover
Trends in Cell Biology
IF:
18.1
Papers:
3.1K
Citations:
2.0W

Organization

University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K