| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-020-17117-4 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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