4.6 Article

Investigation of 15 of the top candidate genes for late-onset Alzheimer's disease

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HUMAN GENETICS
卷 129, 期 3, 页码 273-282

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SPRINGER
DOI: 10.1007/s00439-010-0924-2

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资金

  1. US National Institutes of Health, NIA [R01 AG18023]
  2. Mayo Alzheimer's Disease Research Center [P50 AG16574]
  3. Mayo Alzheimer's Disease Patient Registry [U01 AG06576]
  4. US National Institute on Aging [AG25711, AG17216, AG03949]
  5. National Institute on Aging (NIA) [U24AG21886]
  6. Robert and Clarice Smith Postdoctoral Fellowship
  7. Robert and Clarice Smith and Abigail Van Buren Alzheimer's Disease Research Program
  8. Alzheimer's Research Trust
  9. Big Lottery Fund
  10. Alzheimers Research UK [ART-PPG2008A-3, ART-SB2010A-1, ART-BIG2009-1, ART-NCG2008A-1] Funding Source: researchfish

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The 12 genome-wide association studies (GWAS) published to-date for late-onset Alzheimer's disease (LOAD) have identified over 40 candidate LOAD risk modifiers, in addition to apolipoprotein (APOE) epsilon 4. A few of these novel LOAD candidate genes, namely BIN1, CLU, CR1, EXOC3L2 and PICALM, have shown consistent replication, and are thus credible LOAD susceptibility genes. To evaluate other promising LOAD candidate genes, we have added data from our large, case-control series (n = 5,043) to meta-analyses of all published follow-up case-control association studies for six LOAD candidate genes that have shown significant association across multiple studies (TNK1, GAB2, LOC651924, GWA_14q32.13, PGBD1 and GALP) and for an additional nine previously suggested candidate genes. Meta-analyses remained significant at three loci after addition of our data: GAB2 (OR = 0.78, p = 0.007), LOC651924 (OR = 0.91, p = 0.01) and TNK1 (OR = 0.92, p = 0.02). Breslow-Day tests revealed significant heterogeneity between studies for GAB2 (p < 0.0001) and GWA_14q32.13 (p = 0.006). We have also provided suggestive evidence that PGBD1 (p = 0.04) and EBF3 (p = 0.03) are associated with age-at-onset of LOAD. Finally, we tested for interactions between these 15 genes, APOE epsilon 4 and the five novel LOAD genes BIN1, CLU, CR1, EXOC3L2 and PICALM but none were significant after correction for multiple testing. Overall, this large, independent follow-up study for 15 of the top LOAD candidate genes provides support for GAB2 and LOC651924 (6q24.1) as risk modifiers of LOAD and novel associations between PGBD1 and EBF3 with age-at-onset.

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