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

Yonghong Li(Theranostics (New Zealand)), Andrew Grupe(AC Diagnostics (United States)), Charles M. Rowland(AC Diagnostics (United States)), Petra Nowotny(Washington University in St. Louis), John Kauwe(Washington University in St. Louis), Scott Smemo(Washington University in St. Louis), Anthony L. Hinrichs(Washington University in St. Louis), Kristina Tacey(AC Diagnostics (United States)), Timothy A. Toombs(AC Diagnostics (United States)), Shirley Kwok(AC Diagnostics (United States)), Joseph J. Catanese(AC Diagnostics (United States)), Thomas J. White(AC Diagnostics (United States)), Taylor J. Maxwell(Washington University in St. Louis), Paul Hollingworth(Cardiff University), Richard Abraham(Cardiff University), David C. Rubinsztein, Carol Brayne, Fabienne Wavrant‐De Vrièze(National Institute on Aging), John Hardy(National Institute on Aging), Michael O‘Donovan(Cardiff University), Simon Lovestone(King's College London), John C. Morris(Washington University in St. Louis), Leon J. Thal(University of California San Diego), Michael J. Owen(Cardiff University), Julie Williams(Cardiff University), Alison Goate(Washington University in St. Louis)
Human Molecular Genetics
July 17, 2006
Cited by 123Open Access
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Abstract

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 (r2=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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