Authors
Laurence J Howe, Michel G Nivard, Tim T Morris, Ailin F Hansen, Humaira Rasheed, Yoonsu Cho, Geetha Chittoor, Rafael Ahlskog, Penelope A Lind, Teemu Palviainen, Matthijs D van der Zee, Rosa Cheesman, Massimo Mangino, Yunzhang Wang, Shuai Li, Lucija Klaric, Scott M Ratliff, Lawrence F Bielak, Marianne Nygaard, Alexandros Giannelis, Emily A Willoughby, Chandra A Reynolds, Jared V Balbona, Ole A Andreassen, Helga Ask, Aris Baras, Christopher R Bauer, Dorret I Boomsma, Archie Campbell, Harry Campbell, Zhengming Chen, Paraskevi Christofidou, Elizabeth Corfield, Christina C Dahm, Deepika R Dokuru, Luke M Evans, Eco JC de Geus, Sudheer Giddaluru, Scott D Gordon, K Paige Harden, W David Hill, Amanda Hughes, Shona M Kerr, Yongkang Kim, Hyeokmoon Kweon, Antti Latvala, Deborah A Lawlor, Liming Li, Kuang Lin, Per Magnus, Patrik KE Magnusson, Travis T Mallard, Pekka Martikainen, Melinda C Mills, Pål Rasmus Njølstad, John D Overton, Nancy L Pedersen, David J Porteous, Jeffrey Reid, Karri Silventoinen, Melissa C Southey, Camilla Stoltenberg, Elliot M Tucker-Drob, Margaret J Wright, Social Science Genetic Association Consortium Kweon Hyeokmoon 79 Koellinger Philipp D. 79 80 Benjamin Daniel J. 81 82 83 Turley Patrick 84 85, John K Hewitt, Matthew C Keller, Michael C Stallings, James J Lee, Kaare Christensen, Sharon LR Kardia, Patricia A Peyser, Jennifer A Smith, James F Wilson, John L Hopper, Sara Hägg, Tim D Spector, Jean-Baptiste Pingault, Robert Plomin, Alexandra Havdahl, Meike Bartels, Nicholas G Martin, Sven Oskarsson, Anne E Justice, Iona Y Millwood, Kristian Hveem, Øyvind Naess, Cristen J Willer, Bjørn Olav Åsvold, Philipp D Koellinger, Jaakko Kaprio, Sarah E Medland, Robin G Walters, Daniel J Benjamin, Patrick Turley, David M Evans, George Davey Smith, Caroline Hayward, Ben Brumpton, Gibran Hemani, Neil M Davies
Publication date
2022/5
Journal
Nature genetics
Volume
54
Issue
5
Pages
581-592
Publisher
Nature Publishing Group US
Description
Estimates from genome-wide association studies (GWAS) of unrelated individuals capture effects of inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic and indirect genetic effects, but large-scale family datasets have been lacking. We combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within-family) GWAS estimates for 25 phenotypes. Within-sibship GWAS estimates were smaller than population estimates for height, educational attainment, age at first birth, number of children, cognitive ability, depressive symptoms and smoking. Some differences were observed in downstream SNP heritability, genetic correlations and Mendelian randomization analyses. For example, the within-sibship genetic correlation between …
Total citations
Scholar articles
Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects
LJ Howe, MG Nivard, TT Morris, AF Hansen… - Nature genetics, 2022