Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses
Family-based study designs have been applied to resolve confounding by population stratification, dynastic effects and assortative mating in genetic association analyses. Here, Brumpton et al. describe theory and simulations for overcoming such biases in Mendelian randomization through within-family...
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Nature Portfolio
2020
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oai:doaj.org-article:85accda5604c471488ab1aecb46cd3522021-12-02T16:08:14ZAvoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses10.1038/s41467-020-17117-42041-1723https://doaj.org/article/85accda5604c471488ab1aecb46cd3522020-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17117-4https://doaj.org/toc/2041-1723Family-based study designs have been applied to resolve confounding by population stratification, dynastic effects and assortative mating in genetic association analyses. Here, Brumpton et al. describe theory and simulations for overcoming such biases in Mendelian randomization through within-family studies.Ben BrumptonEleanor SandersonKarl HeilbronFernando Pires HartwigSean HarrisonGunnhild Åberge VieYoonsu ChoLaura D. HoweAmanda HughesDorret I. BoomsmaAlexandra HavdahlJohn HopperMichael NealeMichel G. NivardNancy L. PedersenChandra A. ReynoldsElliot M. Tucker-DrobAndrew GrotzingerLaurence HoweTim MorrisShuai LiThe Within-family ConsortiumThe 23andMe Research TeamAdam AutonFrank WindmeijerWei-Min ChenJohan Håkon BjørngaardKristian HveemCristen WillerDavid M. EvansJaakko KaprioGeorge Davey SmithBjørn Olav ÅsvoldGibran HemaniNeil M. DaviesNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020) |
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DOAJ |
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DOAJ |
| language |
EN |
| topic |
Science Q |
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Science Q Ben Brumpton Eleanor Sanderson Karl Heilbron Fernando Pires Hartwig Sean Harrison Gunnhild Åberge Vie Yoonsu Cho Laura D. Howe Amanda Hughes Dorret I. Boomsma Alexandra Havdahl John Hopper Michael Neale Michel G. Nivard Nancy L. Pedersen Chandra A. Reynolds Elliot M. Tucker-Drob Andrew Grotzinger Laurence Howe Tim Morris Shuai Li The Within-family Consortium The 23andMe Research Team Adam Auton Frank Windmeijer Wei-Min Chen Johan Håkon Bjørngaard Kristian Hveem Cristen Willer David M. Evans Jaakko Kaprio George Davey Smith Bjørn Olav Åsvold Gibran Hemani Neil M. Davies Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses |
| description |
Family-based study designs have been applied to resolve confounding by population stratification, dynastic effects and assortative mating in genetic association analyses. Here, Brumpton et al. describe theory and simulations for overcoming such biases in Mendelian randomization through within-family studies. |
| format |
article |
| author |
Ben Brumpton Eleanor Sanderson Karl Heilbron Fernando Pires Hartwig Sean Harrison Gunnhild Åberge Vie Yoonsu Cho Laura D. Howe Amanda Hughes Dorret I. Boomsma Alexandra Havdahl John Hopper Michael Neale Michel G. Nivard Nancy L. Pedersen Chandra A. Reynolds Elliot M. Tucker-Drob Andrew Grotzinger Laurence Howe Tim Morris Shuai Li The Within-family Consortium The 23andMe Research Team Adam Auton Frank Windmeijer Wei-Min Chen Johan Håkon Bjørngaard Kristian Hveem Cristen Willer David M. Evans Jaakko Kaprio George Davey Smith Bjørn Olav Åsvold Gibran Hemani Neil M. Davies |
| author_facet |
Ben Brumpton Eleanor Sanderson Karl Heilbron Fernando Pires Hartwig Sean Harrison Gunnhild Åberge Vie Yoonsu Cho Laura D. Howe Amanda Hughes Dorret I. Boomsma Alexandra Havdahl John Hopper Michael Neale Michel G. Nivard Nancy L. Pedersen Chandra A. Reynolds Elliot M. Tucker-Drob Andrew Grotzinger Laurence Howe Tim Morris Shuai Li The Within-family Consortium The 23andMe Research Team Adam Auton Frank Windmeijer Wei-Min Chen Johan Håkon Bjørngaard Kristian Hveem Cristen Willer David M. Evans Jaakko Kaprio George Davey Smith Bjørn Olav Åsvold Gibran Hemani Neil M. Davies |
| author_sort |
Ben Brumpton |
| title |
Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses |
| title_short |
Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses |
| title_full |
Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses |
| title_fullStr |
Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses |
| title_full_unstemmed |
Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses |
| title_sort |
avoiding dynastic, assortative mating, and population stratification biases in mendelian randomization through within-family analyses |
| publisher |
Nature Portfolio |
| publishDate |
2020 |
| url |
https://doaj.org/article/85accda5604c471488ab1aecb46cd352 |
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