dc.contributor.author | Corbin, LJ | en_US |
dc.contributor.author | Tan, VY | en_US |
dc.contributor.author | Hughes, DA | en_US |
dc.contributor.author | Wade, KH | en_US |
dc.contributor.author | Paul, DS | en_US |
dc.contributor.author | Tansey, KE | en_US |
dc.contributor.author | Butcher, F | en_US |
dc.contributor.author | Dudbridge, F | en_US |
dc.contributor.author | Howson, JM | en_US |
dc.contributor.author | Jallow, MW | en_US |
dc.contributor.author | John, C | en_US |
dc.contributor.author | Kingston, N | en_US |
dc.contributor.author | Lindgren, CM | en_US |
dc.contributor.author | O'Donavan, M | en_US |
dc.contributor.author | O'Rahilly, S | en_US |
dc.contributor.author | Owen, MJ | en_US |
dc.contributor.author | Palmer, CNA | en_US |
dc.contributor.author | Pearson, ER | en_US |
dc.contributor.author | Scott, RA | en_US |
dc.contributor.author | van Heel, DA | en_US |
dc.contributor.author | Whittaker, J | en_US |
dc.contributor.author | Frayling, T | en_US |
dc.contributor.author | Tobin, MD | en_US |
dc.contributor.author | Wain, LV | en_US |
dc.contributor.author | Smith, GD | en_US |
dc.contributor.author | Evans, DM | en_US |
dc.contributor.author | Karpe, F | en_US |
dc.contributor.author | McCarthy, MI | en_US |
dc.contributor.author | Danesh, J | en_US |
dc.contributor.author | Franks, PW | en_US |
dc.contributor.author | Timpson, NJ | en_US |
dc.date.accessioned | 2018-02-26T10:58:46Z | |
dc.date.available | 2018-01-19 | en_US |
dc.date.issued | 2018-02-19 | en_US |
dc.date.submitted | 2018-01-19T11:37:25.637Z | |
dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/33623 | |
dc.description.abstract | Detailed phenotyping is required to deepen our understanding of the biological mechanisms behind genetic associations. In addition, the impact of potentially modifiable risk factors on disease requires analytical frameworks that allow causal inference. Here, we discuss the characteristics of Recall-by-Genotype (RbG) as a study design aimed at addressing both these needs. We describe two broad scenarios for the application of RbG: studies using single variants and those using multiple variants. We consider the efficacy and practicality of the RbG approach, provide a catalogue of UK-based resources for such studies and present an online RbG study planner. | en_US |
dc.description.sponsorship | Medical Research Council | en_US |
dc.format.extent | 711 - ? | en_US |
dc.language | eng | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Nat Commun | en_US |
dc.rights | This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. | |
dc.subject | Causality | en_US |
dc.subject | Genetic Variation | en_US |
dc.subject | Genome-Wide Association Study | en_US |
dc.subject | Genotype | en_US |
dc.subject | Humans | en_US |
dc.subject | Molecular Epidemiology | en_US |
dc.subject | Phenotype | en_US |
dc.subject | Risk Factors | en_US |
dc.subject | United Kingdom | en_US |
dc.title | Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference. | en_US |
dc.type | Article | |
dc.rights.holder | (c) The Author(s), 2018. | |
dc.identifier.doi | 10.1038/s41467-018-03109-y | en_US |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/29459775 | en_US |
pubs.issue | 1 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published online | en_US |
pubs.volume | 9 | en_US |
dcterms.dateAccepted | 2018-01-19 | en_US |