Genetic risk score informed re-evaluation of phenotype quality control to maximize power in epidemiological studies: application to lung function
Our GRS-based method offers an important framework to challenge prevailing practices that exclude informative measures and limit power in epidemiological studies.
Authors
- I.H. Hall
- Abril G. Izquierdo (ORCID: https://orcid.org/0009-0003-7072-1145)
- Anna L. Guyatt (ORCID: https://orcid.org/0000-0003-1860-6337)
- Martin D. Tobin
- Catherine John
- Frank Dudbridge
- Henry Völzke
- Stephanie London
- Nick Shrine
- Alex Williams
- Jing Chen
Institutions
- National Institutes of Health (US)
- University of Nottingham (GB)
- University of Leicester (GB)
- Universitätsmedizin Greifswald (DE)
- National Institute for Health and Care Research (GB)
- National Institute of Environmental Health Sciences (US)
- Nottingham Biomedical Research Centre (GB)
- NIHR Leicester Biomedical Research Centre (GB)
Publication Details
- Journal
- International Journal for Population Data Science
- Published
- 2026-02-09
- DOI
- https://doi.org/10.23889/ijpds.v11i1.2997
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute for Health and Care Research
- Department of Health and Social Care
- University of Leicester
- NIHR Leicester Biomedical Research Centre