4.5 Article

DAPK1 variants are associated with Alzheimer's disease and allele-specific expression

期刊

HUMAN MOLECULAR GENETICS
卷 15, 期 17, 页码 2560-2568

出版社

OXFORD UNIV PRESS
DOI: 10.1093/hmg/ddl178

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资金

  1. Intramural NIH HHS Funding Source: Medline
  2. Medical Research Council [G0701075, G0300429] Funding Source: Medline
  3. NHGRI NIH HHS [T32 HG00045] Funding Source: Medline
  4. NIA NIH HHS [P50 AG05131, P01 AG03991, R01 AG16208, P50 AG05681] Funding Source: Medline
  5. NIGMS NIH HHS [GM065509] Funding Source: Medline
  6. MRC [G0300429] Funding Source: UKRI
  7. NATIONAL HUMAN GENOME RESEARCH INSTITUTE [T32HG000045] Funding Source: NIH RePORTER
  8. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [P50GM065509] Funding Source: NIH RePORTER
  9. NATIONAL INSTITUTE ON AGING [R01AG016208, P50AG005681, P01AG003991, P50AG005131] Funding Source: NIH RePORTER

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Genetic factors play an important role in the etiology of late-onset Alzheimer's disease (LOAD). We tested gene-centric single nucleotide polymorphisms (SNPs) on chromosome 9 and identified two SNPs in the death-associated protein kinase, DAPK1, that show significant association with LOAD. SNP rs4878104 was significantly associated with LOAD in our discovery case-control sample set (WU) and replicated in each of two initial validation case-control sample sets (P < 0.05, UK1, SD). The risk-allele frequency of this SNP showed a similar direction in three other case-control sample sets. A meta-analysis of the six sample sets combined, totaling 2012 cases and 2336 controls, showed an allelic P-value of 0.0016 and an odds ratio (OR) of 0.87 (95%CI: 0.79-0.95). Minor allele homozygotes had a consistently lower risk than major allele homozygotes in the discovery and initial two replication sample sets, which remained significant in the meta-analysis of all six sample sets (OR=0.7, 95%CI: 0.58-0.85), whereas the risk for heterozygous subjects was not significantly different from that of major allele homozygotes. A second SNP, rs4877365, which is in high linkage disequilibrium with rs4878104 (r(2)=0.64), was also significantly associated with LOAD (meta P=0.0017 in the initial three sample sets). Furthermore, DAPK1 transcripts show differential allelic gene expression, and both rs4878104 and rs4877365 were significantly associated with DAPK1 allele-specific expression (P=0.015 to < 0.0001). These data suggest that genetic variation in DAPK1 modulates susceptibility to LOAD.

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