4.6 Article

Genetic Evidence Implicates the Immune System and Cholesterol Metabolism in the Aetiology of Alzheimer's Disease

Journal

PLOS ONE
Volume 5, Issue 11, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0013950

Keywords

-

Funding

  1. Wellcome Trust
  2. Medical Research Council (MRC, UK)
  3. Alzheimer's Research Trust (ART)
  4. Welsh Assembly Government
  5. Alzheimer's Society
  6. Ulster Garden Villages
  7. Northern Ireland Research and Development Office
  8. Royal College of Physicians-Dunhill Medical Trust
  9. Trinity College group
  10. Bristol Research into Alzheimer's and Care of the Elderly
  11. Oxford Project to Investigate Memory and Ageing (OPTIMA) group
  12. Motor Neurone Disease Association
  13. MRC
  14. US National Institutes of Health (NIH)
  15. Barnes Jewish Foundation
  16. Charles and Joanne Knight Alzheimer's Research Initiative
  17. NIH
  18. Robert and Clarice Smith and Abigail Van Buren AD Research Program
  19. UCL Hospital/UCL Biomedical Centre
  20. Helmholtz Zentrum Munchen
  21. German Research Center for Environmental Health
  22. BMBF
  23. German National Genome Research Network
  24. Munich Center of Health Sciences
  25. National Institute on Aging (NIA)
  26. NIA, NIH, Department of Health and Human Services [Z01 AG000950-06]
  27. University of Antwerp
  28. Fund for Scientific Research-Flanders
  29. Belgian Federal Science Policy Office [P6/43]
  30. Alzheimers Research UK [ART-NCG2008A-1, ART-RF2007-3, ART-BIG2009-1, ART-PG2010-1] Funding Source: researchfish
  31. Medical Research Council [MC_U123192748, G0600974, MC_U123160651, G0601846, G0701075, G0801418, G0300429, G0801418B, G0900688] Funding Source: researchfish
  32. MRC [G0600974, G0701075, G0300429, G0801418, MC_U123160651, MC_U123192748, G0900688, G0601846] Funding Source: UKRI

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Background: Late Onset Alzheimer's disease (LOAD) is the leading cause of dementia. Recent large genome-wide association studies (GWAS) identified the first strongly supported LOAD susceptibility genes since the discovery of the involvement of APOE in the early 1990s. We have now exploited these GWAS datasets to uncover key LOAD pathophysiological processes. Methodology: We applied a recently developed tool for mining GWAS data for biologically meaningful information to a LOAD GWAS dataset. The principal findings were then tested in an independent GWAS dataset. Principal Findings: We found a significant overrepresentation of association signals in pathways related to cholesterol metabolism and the immune response in both of the two largest genome-wide association studies for LOAD. Significance: Processes related to cholesterol metabolism and the innate immune response have previously been implicated by pathological and epidemiological studies of Alzheimer's disease, but it has been unclear whether those findings reflected primary aetiological events or consequences of the disease process. Our independent evidence from two large studies now demonstrates that these processes are aetiologically relevant, and suggests that they may be suitable targets for novel and existing therapeutic approaches.

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