Analyses of plasma multi‐omic data across ancestries identify novel pathways implicated in Alzheimer's disease
For proteomics, 61% of findings for European (EUR) ancestry and 72% for African (AFR) ancestry were not previously reported. For metabolomics, 83% of findings for EUR ancestry and 50% AFR ancestry were not previously reported. Both convergent and divergent pathways were identified in EUR- and AFR-ancestry stratified analyses in either proteomics or metabolomics findings.
Authors
- Chengran Yang (ORCID: https://orcid.org/0000-0003-4577-5590)
- John Budde (ORCID: https://orcid.org/0000-0001-7778-7276)
- Yun Ju Sung
- Jigyasha Timsina (ORCID: https://orcid.org/0000-0003-4794-9187)
- William Brock
- Menghan Liu
- David M Holtzman
- Carlos Cruchaga
- Pat Kohlfeld
- John C Morris
Institutions
- Washington University in St. Louis (US)
- Hope Center for Neurological Disorders (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1002/alz.71164
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00