Genetic-by-age interaction analyses on complex traits in UK Biobank and their potential to identify effects on longitudinal trait change
We provide analytical and empirical evidence that cross-sectional genetic-by-age interaction can help pinpoint longitudinal-change effects, when cross-sectional data surpasses longitudinal sample size. Our findings shed light on the distinction between traits that are impacted by age-dependent genetic effects and those that are not.
Authors
- Helmut Küchenhoff (ORCID: https://orcid.org/0000-0002-6372-2487)
- Thomas W. Winkler (ORCID: https://orcid.org/0000-0003-0292-5421)
- Klaus Stark (ORCID: https://orcid.org/0000-0002-7832-1942)
- Simon Wiegrebe (ORCID: https://orcid.org/0000-0003-3385-6879)
- Janina M. Herold (ORCID: https://orcid.org/0000-0002-2208-9742)
- Iris M. Heid
Institutions
- Statistisches Bundesamt (DE)
- University of Regensburg (DE)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Genome biology
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1186/s13059-024-03439-9
- Citations
- 11
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 6.05
Funders
- Deutsche Forschungsgemeinschaft
- Universität Regensburg
- National Institutes of Health
- National Heart, Lung, and Blood Institute