Influence of Coding Variability in APP-Aβ Metabolism Genes in Sporadic Alzheimer’s Disease

  • Celeste Sassi
  • , Perry G. Ridge
  • , Michael A. Nalls
  • , Raphael Gibbs
  • , Jinhui Ding
  • , Michelle K Lupton
  • , Claire Troakes
  • , Katie Lunnon
  • , Safa Al-Sarraj
  • , Kristelle S Brown
  • , Christopher Medway
  • , Jenny Lord
  • , James Turton
  • , Kevin Morgan
  • , John F Powell
  • , John S K Kauwe
  • , Carlos Cruchaga
  • , Jose Bras
  • , Alison M Goate
  • , Andrew B Singleton
  • Rita Guerreiro, John Hardy, Peter Passmore, David Craig, Janet Johnston, Bernadette McGuinness, Stephen Todd, Reinhard Heun, Heike Kölsch, Patrick G Kehoe, Nigel M Hooper, Emma R L C Vardy, David M. Mann, James Lowe, A. David Smith, Gordon Wilcock, Donald Warden, Clive Holmes

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)
289 Downloads (Pure)

Abstract

The cerebral deposition of Aβ42, a neurotoxic proteolytic derivate of amyloid precursor protein (APP), is a central event in Alzheimer's disease (AD)(Amyloid hypothesis). Given the key role of APP-Aβ metabolism in ADpathogenesis, we selected29 genes involved in APP processing, Aβ degradation and clearance. We then used exome and genome sequencing to investigate the single independent (single-variant association test) and cumulative (gene-based association test) effect of coding variants in these genes as potential susceptibility factors for AD, in a cohort composed of 332 sporadic and mainly late-onset ADcases and 676 elderly controls from North America and the UK. Our study shows that common coding variability in these genes does not play a major role for the disease development. In the single-variant association analysis, the main hits, none of which statistically significant after multiple testing correction (1.9e-4<p-value<0.05), were found to be rare coding variants (0.009%<MAF<1.4%) with moderate to strong effect size (1.84<OR<Inf) that map to genes mainly involved in Aβ extracellular degradation (TTR, ACE), clearance (LRP1) and APP trafficking and recycling (SORL1). These results were partially replicated in the gene-based analysis (c-alpha and SKAT tests), that reports ECE1, LYZ and TTR as nominally associated to AD (1.7e-3 <p-value <0.05). In concert with previous studies, we suggest that 1) common coding variability in APP-Aβ genes is not a critical factor for AD development and 2) Aβ degradation and clearance, rather than Aβ production, may play a key role in the etiology of sporadic AD.

Original languageEnglish
Article numbere0150079
JournalPLoS ONE
Volume11
Issue number6
DOIs
Publication statusPublished - 01 Jun 2016

ASJC Scopus subject areas

  • General Medicine
  • General Biochemistry,Genetics and Molecular Biology
  • General Agricultural and Biological Sciences

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