4.6 Article

Influence of Coding Variability in APP-Aβ Metabolism Genes in Sporadic Alzheimer's Disease

期刊

PLOS ONE
卷 11, 期 6, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0150079

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资金

  1. Alzheimer's Research UK
  2. Medical Research Council (MRC)
  3. Wellcome Trust/MRC Joint Call in Neurodegeneration Award [WT089698]
  4. National Institute for Health Research Biomedical Research Unit in Dementia at University College London Hospitals, University College London
  5. Big Lottery
  6. Intramural Research Programs of the National Institute on Aging and the National Institute of Neurological Disease and Stroke, National Institutes of Health (Department of Health and Human Services) [ZO1 AG000950-10]
  7. ARUK
  8. AS
  9. Brains for Dementia Research programme - Alzheimer's Research UK
  10. Alzheimer's Society
  11. [P50 AG016574]
  12. [U01 AG006786]
  13. [R01 AG18023]
  14. Alzheimers Research UK [ARUK-TRFUS2012-3] Funding Source: researchfish
  15. Medical Research Council [MR/L016397/1, G1100695] Funding Source: researchfish
  16. MRC [MR/L016397/1, G1100695] Funding Source: UKRI

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The cerebral deposition of A beta(42), a neurotoxic proteolytic derivate of amyloid precursor protein (APP), is a central event in Alzheimer's disease (AD)(Amyloid hypothesis). Given the key role of APP-A beta metabolism in AD pathogenesis, we selected 29 genes involved in APP processing, A beta degradation and clearance. We then used exome and genome sequencing to investigate the single independent (single-variant association test) and cumulative (gene-based association test) effect of coding variants in these genes as potential susceptibility factors for AD, in a cohort composed of 332 sporadic and mainly late-onset AD cases and 676 elderly controls from North America and the UK. Our study shows that common coding variability in these genes does not play a major role for the disease development. In the single-variant association analysis, the main hits, none of which statistically significant after multiple testing correction (1.9e(-4)<0.05), were found to be rare coding variants (0.009%<1.4%) with moderate to strong effect size (1.84

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