• Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses 

      Brumpton, Ben Michael; Sanderson, Eleanor; Heilbron, Karl; Hartwig, FP; Harrison, S; Vie, Gunnhild Åberge; Cho, Y; Howe, LD; Hughes, A; Boomsma, D; Havdahl, Alexandra; Hopper, J; Neale, M; Nivard, Michel G.; Pedersen, N; Reynolds, CA; Tucker-D, EM; Grotzinger, A; Howe, Laurence; Morris, Tim; Li, Shuai; Within-Family Consortium, The; 23andMe Research Team, The; Auton, A; Windmeijer, F; Chen, W-M; Bjørngaard, Johan Håkon; Hveem, Kristian; Willer, C; Evans, DM; Kaprio, J; Davey Smith, G; Åsvold, BO; Åsvold, Bjørn Olav; Hemani, G; Davies, Neil Martin (Peer reviewed; Journal article, 2020)
      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 ...
    • Educational attainment, health outcomes and mortality: a within-sibship Mendelian randomization study 

      Howe, Laurence J; Rasheed, Humaira; Jones, Paul Remy; Boomsma, Dorret I; Evans, David M; Giannelis, Alexandros; Hayward, Caroline; Hopper, John L; Hughes, Amanda; Lahtinen, Hannu; Li, Shuai; Lind, Penelope A; Martin, Nicholas G; Martikainen, Pekka; Medland, Sarah E; Morris, Tim T; Nivard, Michel G; Pingault, Jean-Baptiste; Silventoinen, Karri; Smith, Jennifer A; Willoughby, Emily A; Wilson, James F; Ahlskog, Rafael; Andreassen, Ole; Ask, Helga; Campbell, Archie; Cheesman, Rosa Catherine Gillespie; Cho, Yoonsu; Christensen, Kaare; Corfield, Elizabeth Claire; Dahm, Christina C.; Havdahl, Alexandra; Hill, William D; Kerr, Shona M; Nygaard, Marianne Rodriguez; Palviainen, Teemu; Pedersen, Nancy L; Plomin, Robert; Southey, Melissa C; Stoltenberg, Camilla; Åsvold, Bjørn Olav; Næss, Øyvind Erik; Davey Smith, George; Kaprio, Jaakko; Brumpton, Ben Michael; Davies, Neil Martin (Peer reviewed; Journal article, 2023)
      Background Previous Mendelian randomization (MR) studies using population samples (population MR) have provided evidence for beneficial effects of educational attainment on health outcomes in adulthood. However, estimates ...
    • Genetic nurture versus genetic transmission of risk for ADHD traits in the Norwegian Mother, Father and Child Cohort Study 

      Pingault, Jean-Baptiste; Barkhuizen, Wikus; Wang, Biyao; Hannigan, Laurie John; Eilertsen, Espen Moen; Corfield, Elizabeth Claire; Andreassen, Ole; Ask, Helga; Tesli, Martin Steen; Askeland, Ragna Bugge; Davey Smith, George; Stoltenberg, Camilla; Davies, Neil M.; Reichborn-Kjennerud, Ted; Ystrøm, Eivind; Havdahl, Alexandra (Peer reviewed; Journal article, 2022)
      Identifying mechanisms underlying the intergenerational transmission of risk for attention-deficit/hyperactivity disorder (ADHD) traits can inform interventions and provide insights into the role of parents in shaping their ...
    • Intrauterine Growth and Offspring Neurodevelopmental Traits A Mendelian Randomization Analysis of the Norwegian Mother, Father and Child Cohort Study (MoBa) 

      D'Urso, Shannon; Moen, Gunn-Helen Øiseth; Hwang, Liang-Dar; Hannigan, Laurie John; Corfield, Elizabeth Claire; Ask, Helga; Johannson, Stefan; Njølstad, Pål Rasmus; Beaumont, Robin N.; Freathy, Rachel M.; Evens, David M.; Havdahl, Alexandra (Journal article; Peer reviewed, 2023)
      Importance Conventional epidemiological analyses have suggested that lower birth weight is associated with later neurodevelopmental difficulties; however, it is unclear whether this association is causal. Objective ...
    • Within family Mendelian randomization studies 

      Davies, Neil M.; Howe, Laurence; Brumpton, Ben Michael; Havdahl, Alexandra; Evans, David M.; Smith, George Davey (Peer reviewed; Journal article, 2019)
      Mendelian randomization (MR) is increasingly used to make causal inferences in a wide range of fields, from drug development to etiologic studies. Causal inference in MR is possible because of the process of genetic ...
    • Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects 

      Howe, Laurence J.; Nivard, Michel G.; Morris, Tim T.; Hansen, Ailin Falkmo; Rasheed, Humaira; Cho, Yoonsu; Chittoor, Geetha; Ahlskog, Rafael; Lind, Penelope A.; Palviainen, Teemu; van der Zee, Matthijs D.; Cheesman, Rosa Catherine Gillespie; 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; Ask, Helga; Baras, Aris; Bauer, Christopher R.; Boomsma, Dorret I.; Campbell, Archie; Campbell, Harry; Chen, Zhengming; Christofidou, Paraskevi; Corfield, Elizabeth Claire; 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 Minor; 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.; Kweon, Hyeokmoon; Koellinger, Philipp D.; Benjamin, Daniel J.; Turley, Patrick; Howe, Laurence J.; Nivard, Michel G.; Morris, Tim T.; Plomin, Robert; Havdahl, Alexandra; Bartels, Meike; Martin, Nicholas G.; Oskarsson, Sven; Justice, Anne E.; Millwood, Iona Y.; Hveem, Kristian; Willer, Cristen J.; Åsvold, Bjørn Olav; Kaprio, Jaakko; Medland, Sarah E.; Walters, Robin G.; Evans, David M.; Smith, George Davey; Hayward, Caroline; Brumpton, Ben; Hemani, Gibran; Davies, Neil Martin; 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; Næss, Øyvind Erik; Davey Smith, George; Brumpton, Ben Michael (Peer reviewed; Journal article, 2022)
      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 ...