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An association analysis of Alzheimer disease candidate genes detects an ancestral risk haplotype clade in ACE and putative multilocus association between ACE, A2M, and LRRTM3

  • Todd L. Edwards
  • , Margaret Pericak-Vance
  • , Johnny R. Gilbert
  • , Jonathan L. Haines
  • , Eden R. Martin
  • , Marylyn D. Ritchie

Research output: Contribution to journalArticlepeer-review

Abstract

Alzheimer's disease (AD) is the most common form of progressive dementia in the elderly. It is a neurodegenerative disorder characterized by the neuropathologic findings of neurofibrillary tangles and amyloid plaques that accumulate in vulnerable brain regions. AD etiology has been studied by many groups, but since the discovery of the APOE ε4 allele, no further genes have been mapped conclusively to late-onset AD (LOAD). In this study, we examined genetic association with LOAD susceptibility in 738 Caucasian families (4,704 individuals) and an independent case-control dataset with 296 cases and 566 controls exploring 11 candidate genes (47 SNPs common to both samples). In addition to tests for main effects and haplotypes, the MDR-PDT was used to search for gene-gene interactions in the family data. We observed significant haplotype effects in ACE in family and case-control samples using standard and cladistic haplotype models. ACE was also part of significant 2 and 3-locus MDR-PDT joint effects models with Alpha-2-Macroglobulin (A2M), which mediates the clearance of Aβ, and Leucine-Rich Repeat Transmembrane-3 (LRRTM3), a nested gene in Alpha-3 Catenin (CTNNA3) which binds Presenilin-1. This result did not replicate in the case-control sample, and may not be a true positive. These genes are related to Aβ clearance; thus this constellation of effects might constitute an axis of susceptibility for LOAD. The consistent ACE haplotype result between independent family-based and unrelated case-control datasets is strong evidence in favor of ACE as a susceptibility locus for AD, and replicates results from several other studies in a large sample.

Original languageEnglish (US)
Pages (from-to)721-735
Number of pages15
JournalAmerican Journal of Medical Genetics, Part B: Neuropsychiatric Genetics
Volume150
Issue number5
DOIs
StatePublished - Jul 5 2009

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Genetics(clinical)
  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience

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