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Article . 2024 . Peer-reviewed
License: Wiley Online Library User Agreement
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Transcriptome‐Wide Association Studies (TWAS): Methodologies, Applications, and Challenges

Authors: Patrick Evans; Taylor Nagai; Anuar Konkashbaev; Dan Zhou; Ela W. Knapik; Eric R. Gamazon;

Transcriptome‐Wide Association Studies (TWAS): Methodologies, Applications, and Challenges

Abstract

AbstractTranscriptome‐wide association study (TWAS) methodologies aim to identify genetic effects on phenotypes through the mediation of gene transcription. In TWAS, in silico models of gene expression are trained as functions of genetic variants and then applied to genome‐wide association study (GWAS) data. This post‐GWAS analysis identifies gene‐trait associations with high interpretability, enabling follow‐up functional genomics studies and the development of genetics‐anchored resources. We provide an overview of commonly used TWAS approaches, their advantages and limitations, and some widely used applications. © 2024 Wiley Periodicals LLC.

Related Organizations
Keywords

Phenotype, Quantitative Trait Loci, Computer Simulation, Transcriptome, Genome-Wide Association Study

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
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