Protocol to estimate the heritability of drug response with GxEMM and identify gene-drug interactions with TxEWAS

Identifying factors that affect treatment response is a central objective of clinical research. Here, we present a protocol to study the genetic architecture of response to commonly prescribed drugs using gene-context interaction techniques. We describe steps for estimating the heritability of drug response with gene-environment interaction mixed model (GxEMM) and identifying gene-drug interactions with gene-environment interaction transcriptome-wide association study (TxEWAS). While the protocol describes application to drug treatments, this framework can be used to characterize the genetic basis of any covariate's effect. For complete details on the use and execution of this protocol, please refer to Sadowski et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-04-16
DOI
https://doi.org/10.1016/j.xpro.2025.103780
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.82

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article

Protocol to estimate the heritability of drug response with GxEMM and identify gene-drug interactions with TxEWAS

Michał Sadowski, Noah Zaitlen, Andy Dahl
1 citations
STAR Protocols
Genetic Associations and Epidemiology
1.82
article

Protocol to estimate the heritability of drug response with GxEMM and identify gene-drug interactions with TxEWAS

Michał Sadowski, Noah Zaitlen, Andy Dahl
article en
1 citations

Abstract

Identifying factors that affect treatment response is a central objective of clinical research. Here, we present a protocol to study the genetic architecture of response to commonly prescribed drugs using gene-context interaction techniques. We describe steps for estimating the heritability of drug response with gene-environment interaction mixed model (GxEMM) and identifying gene-drug interactions with gene-environment interaction transcriptome-wide association study (TxEWAS). While the protocol describes application to drug treatments, this framework can be used to characterize the genetic basis of any covariate's effect. For complete details on the use and execution of this protocol, please refer to Sadowski et al.<sup>1</sup>.

STAR ProtocolsVol. 6(2)
University of California, Los Angeles (US), University of Chicago (US)
Chan Zuckerberg Initiative, National Institutes of Health
Openalex Percentile: Top 17%
Genetic Associations and Epidemiology
1.82
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Protocol to estimate the heritability of drug response with GxEMM and identify gene-drug interactions with TxEWAS — Michał Sadowski, Noah Zaitlen, et al. · STAR Protocols (2025) | TGRS Research Map | TGRS