Examining the link between 179 lipid species and 7 diseases using genetic predictors
The funders had no role in the study design, data analyses, interpretation, or writing of this article.
Authors
- Kai Simons (ORCID: https://orcid.org/0000-0002-9231-9996)
- Linda Ottensmann (ORCID: https://orcid.org/0000-0002-0096-8308)
- Daniel L. McCartney (ORCID: https://orcid.org/0000-0003-3242-0360)
- Sanni Ruotsalainen (ORCID: https://orcid.org/0000-0002-1631-4069)
- Caroline Hayward (ORCID: https://orcid.org/0000-0002-9405-9550)
- Samuli Ripatti (ORCID: https://orcid.org/0000-0002-0504-1202)
- Matti Pirinen (ORCID: https://orcid.org/0000-0002-1664-1350)
- Elisabeth Widén (ORCID: https://orcid.org/0000-0001-7108-2806)
- Christian Klose (ORCID: https://orcid.org/0000-0003-2853-4533)
- Véronique Vitart (ORCID: https://orcid.org/0000-0002-4991-3797)
- Rubina Tabassum (ORCID: https://orcid.org/0000-0002-3120-3041)
- Mathias J. Gerl (ORCID: https://orcid.org/0000-0002-8074-7221)
Institutions
- University of Helsinki (FI)
- Western General Hospital (GB)
- Edinburgh Cancer Research (GB)
- Institute for Molecular Medicine Finland (FI)
- Institute of Genetics and Cancer (GB)
Publication Details
- Journal
- EBioMedicine
- Published
- 2025-03-30
- DOI
- https://doi.org/10.1016/j.ebiom.2025.105671
- Citations
- 2
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 3.63