UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Selection of genetic instruments in Mendelian randomisation studies of sleep traits

Paz, Valentina; Dashti, Hassan S; Burgess, Stephen; Garfield, Victoria; (2023) Selection of genetic instruments in Mendelian randomisation studies of sleep traits. Sleep Medicine , 112 pp. 342-351. 10.1016/j.sleep.2023.10.036. Green open access

[thumbnail of Paz_1-s2.0-S1389945723004148-main.pdf]
Preview
Text
Paz_1-s2.0-S1389945723004148-main.pdf

Download (1MB) | Preview

Abstract

This review explores the criteria used for the selection of genetic instruments of sleep traits in the context of Mendelian randomisation studies. This work was motivated by the fact that instrument selection is the most important decision when designing a Mendelian randomisation study. As far as we are aware, no review has sought to address this to date, even though the number of these studies is growing rapidly. The review is divided into the following sections which are essential for genetic instrument selection: 1) Single-gene region vs polygenic analysis; 2) Polygenic analysis: biologically-vs statistically-driven approaches; 3) P-value; 4) Linkage disequilibrium clumping; 5) Sample overlap; 6) Type of exposure; 7) Total (R2) and average strength (F-statistic) metrics; 8) Number of single-nucleotide polymorphisms; 9) Minor allele frequency and palindromic variants; 10) Confounding. Our main aim is to discuss how instrumental choice impacts analysis and compare the strategies that Mendelian randomisation studies of sleep traits have used. We hope that our review will enable more researchers to take a more considered approach when selecting genetic instruments for sleep exposures.

Type: Article
Title: Selection of genetic instruments in Mendelian randomisation studies of sleep traits
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.sleep.2023.10.036
Publisher version: https://doi.org/10.1016/j.sleep.2023.10.036
Language: English
Additional information: Copyright © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Genetic epidemiology, Sleep genetic variants, Review
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10180707
Downloads since deposit
462Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item