4.7 Article

Polygenic risk of Alzheimer disease is associated with early- and late-life processes

期刊

NEUROLOGY
卷 87, 期 5, 页码 481-488

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1212/WNL.0000000000002922

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资金

  1. NIH [F32AG044054, P01AG036694, K01MH099232, R01AG036836, K24MH094614, K25EB013649]
  2. Alzheimer's Disease Neuroimaging Initiative (ADNI) (NIH) [U01 AG024904]
  3. DOD ADNI (Department of Defense) [W81XWH-12-2-0012]
  4. National Institute on Aging
  5. National Institute of Biomedical Imaging and Bioengineering
  6. AbbVie
  7. Alzheimer's Association
  8. Alzheimer's Drug Discovery Foundation
  9. Araclon Biotech
  10. BioClinica, Inc.
  11. Biogen
  12. Bristol-Myers Squibb Company
  13. CereSpir, Inc.
  14. Eisai Inc.
  15. Elan Pharmaceuticals, Inc.
  16. Eli Lilly and Company
  17. EuroImmun
  18. F. Hoffmann-La Roche Ltd. and its affiliated company Genentech, Inc.
  19. Fujirebio
  20. GE Healthcare
  21. IXICO Ltd.
  22. Janssen Alzheimer Immunotherapy Research & Development, LLC
  23. Johnson & Johnson Pharmaceutical Research & Development LLC
  24. Lumosity
  25. Lundbeck
  26. Merck Co., Inc.
  27. Meso Scale Diagnostics, LLC
  28. NeuroRx Research
  29. Neurotrack Technologies
  30. Novartis Pharmaceuticals Corporation
  31. Pfizer Inc.
  32. Piramal Imaging
  33. Servier
  34. Takeda Pharmaceutical Company
  35. Transition Therapeutics
  36. Canadian Institutes of Health Research

向作者/读者索取更多资源

Objective: To examine associations between aggregate genetic risk and Alzheimer disease (AD) markers in stages preceding the clinical symptoms of dementia using data from 2 large observational cohort studies. Methods: We computed polygenic risk scores (PGRS) using summary statistics from the International Genomics of Alzheimer's Project genome-wide association study of AD. Associations between PGRS and AD markers (cognitive decline, clinical progression, hippocampus volume, and beta-amyloid) were assessed within older participants with dementia. Associations between PGRS and hippocampus volume were additionally examined within healthy younger participants (age 18-35 years). Results: Within participants without dementia, elevated PGRS was associated with worse memory (p = 0.002) and smaller hippocampus (p = 0.002) at baseline, as well as greater longitudinal cognitive decline (memory: p = 0.0005, executive function: p = 0.01) and clinical progression (p < 0.00001). HighPGRS was associated with AD-like levels of beta-amyloid burden as measured with florbetapir PET (p = 0.03) but did not reach statistical significance for CSF beta-amyloid (p = 0.11). Within the younger group, higher PGRS was associated with smaller hippocampus volume (p = 0.05). This pattern was evident when examining a PGRS that included many loci below the genome-wide association study (GWAS)-level significance threshold (16,123 single nucleotide polymorphisms), but not when PGRS was restricted to GWAS-level significant loci (18 single nucleotide polymorphisms). Conclusions: Effects related to common genetic risk loci distributed throughout the genome are detectable among individuals without dementia. The influence of this genetic risk may begin in early life and make an individual more susceptible to cognitive impairment in late life. Future refinement of polygenic risk scores may help identify individuals at risk for AD dementia.

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