Imperial College London
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DrDipenderGill

Faculty of Medicine, School of Public Health

Clinical Research Fellow
 
 
 
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Contact

 

+44 (0)7904 843 810dipender.gill

 
 
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Location

 

School of a Public HealthMedical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Woolf:2022:10.1101/2022.06.13.22276262,
author = {Woolf, B and Gill, D},
doi = {10.1101/2022.06.13.22276262},
title = {TwoStepCisMR: A novel method and R package for attenuating bias in <i>cis</i>-MR},
url = {http://dx.doi.org/10.1101/2022.06.13.22276262},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <jats:title>Abstract</jats:title><jats:p>Mendelian randomisation (MR) is an increasingly popular method for strengthening causal inference in epidemiological studies. cis-MR in particular uses genetic variants in the gene region for a genetic proxy of a drug target to provide quasi-experimental evidence for drug efficacy. A major problem for this framework is when the causal variant is correlated to another variant which effects the outcome of interest (confounding through linkage disequilibrium). Methods for correcting bias such as multivariable MR struggle in a cis setting because of the high correlation among genetic variants. Here, we therefore present an alternative method for attenuating bias which does not suffer from this problem. We have additionally developed a simple R package to facilitate the implementation of the method.</jats:p>
AU  - Woolf,B
AU  - Gill,D
DO  - 10.1101/2022.06.13.22276262
PY  - 2022///
TI  - TwoStepCisMR: A novel method and R package for attenuating bias in <i>cis</i>-MR
UR  - http://dx.doi.org/10.1101/2022.06.13.22276262
ER  -
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