4.7 Article

Novel late-onset Alzheimer disease loci variants associate with brain gene expression

Journal

NEUROLOGY
Volume 79, Issue 3, Pages 221-228

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1212/WNL.0b013e3182605801

Keywords

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Funding

  1. National Institutes of Health (National Institute on Aging) [R01 032990, R01 AG018023]
  2. National Institutes of Health (Mayo Alzheimer's Disease Research Center) [P50 AG016574]
  3. Mayo Alzheimer's Disease Patient Registry [U01 AG006576]
  4. National Institute on Aging [AG025711, AG017216, AG003949]
  5. Robert and Clarice Smith and Abigail Van Buren Alzheimer's Disease Research Program
  6. Palumbo Professorship in Alzheimer's Disease Research
  7. National Institutes of Health [KL2 RR024151]
  8. Siragusa Foundation
  9. Elan Pharmaceutical Research
  10. Pfizer Pharmaceuticals
  11. Medivation
  12. Forrest
  13. Elan Pharmaceuticals
  14. safety monitoring board for Wyeth Pharmaceuticals

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Objective: Recent genome-wide association studies (GWAS) of late-onset Alzheimer disease (LOAD) identified 9 novel risk loci. Discovery of functional variants within genes at these loci is required to confirm their role in Alzheimer disease (AD). Single nucleotide polymorphisms that influence gene expression (eSNPs) constitute an important class of functional variants. We therefore investigated the influence of the novel LOAD risk loci on human brain gene expression. Methods: We measured gene expression levels in the cerebellum and temporal cortex of autopsied AD subjects and those with other brain pathologies (similar to 400 total subjects). To determine whether any of the novel LOAD risk variants are eSNPs, we tested their cis-association with expression of 6 nearby LOAD candidate genes detectable in human brain (ABCA7, BIN1, CLU, MS4A4A, MS4A6A, PICALM) and an additional 13 genes +/-100 kb of these SNPs. To identify additional eSNPs that influence brain gene expression levels of the novel candidate LOAD genes, we identified SNPs +/-100 kb of their location and tested for cis-associations. Results: CLU rs11136000 (p = 7.81 x 10(-4)) and MS4A4A rs2304933/rs2304935 (p = 1.48 x 10(-4)-1.86 x 10(-4)) significantly influence temporal cortex expression levels of these genes. The LOAD-protective CLU and risky MS4A4A locus alleles associate with higher brain levels of these genes. There are other cis-variants that significantly influence brain expression of CLU and ABCA7 (p = 4.01 x 10(-5)-9.09 x 10(-9)), some of which also associate with AD risk (p = 2.64 x 10(-2)-6.25 x 10(-5)). Conclusions: CLU and MS4A4A eSNPs may at least partly explain the LOAD risk association at these loci. CLU and ABCA7 may harbor additional strong eSNPs. These results have implications in the search for functional variants at the novel LOAD risk loci. Neurology(R) 2012;79:221-228

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