🛰️ Daily AI Frontier
‹ back to 2026-08-20

Family genetic designs in MoBa provide insights into health and functioning

Nature Bioinformatics AI Elizabeth C. Corfield, Alexey A. Shadrin, Oleksandr Frei, Zillur Rahman, Bayram Cevdet Akdeniz, Tahir Tekin Filiz, Aihua Lin, Isabella Badini, Laura Hegemann, Lavinia Athanasiu, Robyn E. Wootton, Chloe Austerberry, Amanda M. Hughes, Martin Tesli, Espen Hagen, Ragnhild E. Brandlistuen, Espen Moen Eilertsen, Lars T. Westlye, Pål R. Njølstad, Per Magnus, Eivind Hovig, Tetyana Zayats, Helga Ask, Ted Reichborn-Kjennerud, Gibran Hemani, Neil M. Davies, Laurie J. Hannigan, Ole A. Andreassen, Alexandra Karoline Havdahl 2026-08-19

TL;DR - The Norwegian Mother, Father and Child Cohort Study shows how family-based genomic designs can distinguish direct genetic effects from confounding in research on health and human development. This can make genetic associations more reliable and interpretable.

  • Uses genomic data collected across families rather than unrelated individuals alone.
  • Helps separate direct genetic influences from familial and environmental confounding.
  • Strengthens causal interpretation in studies of health, development, and functioning.
  • The provided summary does not specify particular traits, methods, or effect sizes.

view merged work →