dc.contributor.author | Brumpton, Ben Michael | |
dc.contributor.author | Sanderson, Eleanor | |
dc.contributor.author | Heilbron, Karl | |
dc.contributor.author | Hartwig, FP | |
dc.contributor.author | Harrison, S | |
dc.contributor.author | Vie, Gunnhild Åberge | |
dc.contributor.author | Cho, Y | |
dc.contributor.author | Howe, LD | |
dc.contributor.author | Hughes, A | |
dc.contributor.author | Boomsma, D | |
dc.contributor.author | Havdahl, Alexandra | |
dc.contributor.author | Hopper, J | |
dc.contributor.author | Neale, M | |
dc.contributor.author | Nivard, Michel G. | |
dc.contributor.author | Pedersen, N | |
dc.contributor.author | Reynolds, CA | |
dc.contributor.author | Tucker-D, EM | |
dc.contributor.author | Grotzinger, A | |
dc.contributor.author | Howe, Laurence | |
dc.contributor.author | Morris, Tim | |
dc.contributor.author | Li, Shuai | |
dc.contributor.author | Within-Family Consortium, The | |
dc.contributor.author | 23andMe Research Team, The | |
dc.contributor.author | Auton, A | |
dc.contributor.author | Windmeijer, F | |
dc.contributor.author | Chen, W-M | |
dc.contributor.author | Bjørngaard, Johan Håkon | |
dc.contributor.author | Hveem, Kristian | |
dc.contributor.author | Willer, C | |
dc.contributor.author | Evans, DM | |
dc.contributor.author | Kaprio, J | |
dc.contributor.author | Davey Smith, G | |
dc.contributor.author | Åsvold, BO | |
dc.contributor.author | Åsvold, Bjørn Olav | |
dc.contributor.author | Hemani, G | |
dc.contributor.author | Davies, Neil Martin | |
dc.date.accessioned | 2021-02-22T12:36:29Z | |
dc.date.available | 2021-02-22T12:36:29Z | |
dc.date.created | 2020-09-18T09:38:04Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | https://hdl.handle.net/11250/2729519 | |
dc.description.abstract | Estimates from Mendelian randomization studies of unrelated individuals can be biased due to uncontrolled confounding from familial effects. Here we describe methods for within-family Mendelian randomization analyses and use simulation studies to show that family-based analyses can reduce such biases. We illustrate empirically how familial effects can affect estimates using data from 61,008 siblings from the Nord-Trøndelag Health Study and UK Biobank and replicated our findings using 222,368 siblings from 23andMe. Both Mendelian randomization estimates using unrelated individuals and within family methods reproduced established effects of lower BMI reducing risk of diabetes and high blood pressure. However, while Mendelian randomization estimates from samples of unrelated individuals suggested that taller height and lower BMI increase educational attainment, these effects were strongly attenuated in within-family Mendelian randomization analyses. Our findings indicate the necessity of controlling for population structure and familial effects in Mendelian randomization studies. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Nature Research | en_US |
dc.relation.uri | https://www.nature.com/articles/s41467-020-17117-4 | |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.volume | 11 | en_US |
dc.source.journal | Nature Communications | en_US |
dc.identifier.doi | 10.1038/s41467-020-17117-4 | |
dc.identifier.cristin | 1831060 | |
dc.relation.project | Norges forskningsråd: 274611 | en_US |
dc.relation.project | Helse Sør-Øst RHF: 2018059 | en_US |
dc.relation.project | Stiftelsen Kristian Gerhard Jebsen: SKGJ-MED-015 | en_US |
dc.relation.project | Norges forskningsråd: 250335 | en_US |
dc.relation.project | Norges forskningsråd: 295989 | en_US |
dc.description.localcode | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |