• 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 ...
    • Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies 

      Adams, Mark J.; Streit, Fabian; Meng, Xiangrui; Awasthi, Swapnil; Adey, Brett N.; Choi, Karmel W.; Chundru, V. Kartik; Coleman, Jonathan R.I.; Ferwerda, Bart; Foo, Jerome C.; Gerring, Zachary F.; Giannakopoulou, Olga; Gupta, Priya; Hall, Alisha S.M.; Harder, Arvid; Howard, David M.; Ask, Helga; Corfield, Elizabeth Claire; Havdahl, Alexandra; Reichborn-Kjennerud, Ted; Bjerkeset, Ottar; Drange, Ole Kristian (Peer reviewed; Journal article, 2025)