Article
Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects.
Nature genetics - 1 May 2022
Howe Laurence J, Nivard Michel G, Morris Tim T, Hansen Ailin F, Rasheed Humaira, Cho Yoonsu, Chittoor Geetha, Ahlskog Rafael, Lind Penelope A, Palviainen Teemu, van der Zee Matthijs D, Cheesman Rosa, Mangino Massimo, Wang Yunzhang, Li Shuai, Klaric Lucija, Ratliff Scott M, Bielak Lawrence F, Nygaard Marianne, Giannelis Alexandros, Willoughby Emily A, Reynolds Chandra A, Balbona Jared V, Andreassen Ole A, Ask Helga, Baras Aris, Bauer Christopher R, Boomsma Dorret I, Campbell Archie, Campbell Harry, Chen Zhengming, Christofidou Paraskevi, Corfield Elizabeth, Dahm Christina C, Dokuru Deepika R, Evans Luke M, de Geus Eco J C, Giddaluru Sudheer, Gordon Scott D, Harden K Paige, Hill W David, Hughes Amanda, Kerr Shona M, Kim Yongkang, Kweon Hyeokmoon, Latvala Antti, Lawlor Deborah A, Li Liming, Lin Kuang, Magnus Per, Magnusson Patrik K E, Mallard Travis T, Martikainen Pekka, Mills Melinda C, Njølstad Pål Rasmus, Overton John D, Pedersen Nancy L, Porteous David J, Reid Jeffrey, Silventoinen Karri, Southey Melissa C, Stoltenberg Camilla, Tucker-Drob Elliot M, Wright Margaret J, Hewitt John K, Keller Matthew C, Stallings Michael C, Lee James J, Christensen Kaare, Kardia Sharon L R, Peyser Patricia A, Smith Jennifer A, Wilson James F, Hopper John L, Hägg Sara, Spector Tim D, Pingault Jean-Baptiste, Plomin Robert, Havdahl Alexandra, Bartels Meike, Martin Nicholas G, Oskarsson Sven, Justice Anne E, Millwood Iona Y, Hveem Kristian, Naess Øyvind, Willer Cristen J, Åsvold Bjørn Olav, Koellinger Philipp D, Kaprio Jaakko, Medland Sarah E, Walters Robin G, Benjamin Daniel J, Turley Patrick, Evans David M, Davey Smith George, Hayward Caroline, Brumpton Ben, Hemani Gibran, Davies Neil M
Abstract excerpt
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...
