• 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 ...
    • Quantifying the impact of genes on body mass index during the obesity epidemic : Longitudinal findings from the HUNT study 

      Brandkvist, Maria Charlotta; Bjørngaard, Johan Håkon; Ødegård, Rønnaug; Åsvold, Bjørn Olav; Sund, Erik; Vie, Gunnhild Åberge (Peer reviewed; Journal article, 2019)
      Objectives To study the trajectories of body mass index (BMI) in Norway over five decades and to assess the differential influence of the obesogenic environment on BMI according to genetic predisposition. Design Longitudinal ...