Biased Estimates in Mendelian Randomization Studies Conducted in Unrepresentative Samples

Marcus Munafò; George Davey Smith

doi:10.1001/jamacardio.2017.4279

Biased Estimates in Mendelian Randomization Studies Conducted in Unrepresentative Samples

Marcus Munafò, George Davey Smith

Research output: Contribution to journal › Comment/debate (Academic Journal)

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Abstract

To the Editor: Large cohort studies have transformed our ability to evaluate complex exposure-outcome relationships. However, these studies are typically not representative of the source population from which they are sampled because of selection at recruitment, attrition over time (in prospective studies), or both. For example, in UK Biobank, the response rate was approximately 5%, and the resulting sample was healthier and more highly educated than the general population of the United Kingdom...

Original language	English
Pages (from-to)	181
Number of pages	1
Journal	JAMA Cardiology
Volume	3
Issue number	2
Early online date	13 Dec 2017
DOIs	https://doi.org/10.1001/jamacardio.2017.4279
Publication status	E-pub ahead of print - 13 Dec 2017

Structured keywords

Brain and Behaviour
Tobacco and Alcohol

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10.1001/jamacardio.2017.4279

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This is the author accepted manuscript (AAM). The final published version (version of record) is available online via JAMA at https://jamanetwork.com/journals/jamacardiology/article-abstract/2666120 . Please refer to any applicable terms of use of the publisher.
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title = "Biased Estimates in Mendelian Randomization Studies Conducted in Unrepresentative Samples",

abstract = "To the Editor: Large cohort studies have transformed our ability to evaluate complex exposure-outcome relationships. However, these studies are typically not representative of the source population from which they are sampled because of selection at recruitment, attrition over time (in prospective studies), or both. For example, in UK Biobank, the response rate was approximately 5%, and the resulting sample was healthier and more highly educated than the general population of the United Kingdom...",

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AB - To the Editor: Large cohort studies have transformed our ability to evaluate complex exposure-outcome relationships. However, these studies are typically not representative of the source population from which they are sampled because of selection at recruitment, attrition over time (in prospective studies), or both. For example, in UK Biobank, the response rate was approximately 5%, and the resulting sample was healthier and more highly educated than the general population of the United Kingdom...

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Biased Estimates in Mendelian Randomization Studies Conducted in Unrepresentative Samples

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