Meta-analysis of genetic association with diagnosed Alzheimer’s disease identifies novel risk loci and implicates Abeta, Tau, immunity and lipid processing
Citations Over Time
Abstract
Introduction Late-onset Alzheimer’s disease (LOAD, onset age > 60 years) is the most prevalent dementia in the elderly 1 , and risk is partially driven by genetics 2 . Many of the loci responsible for this genetic risk were identified by genome-wide association studies (GWAS) 3–8 . To identify additional LOAD risk loci, the we performed the largest GWAS to date (89,769 individuals), analyzing both common and rare variants. We confirm 20 previous LOAD risk loci and identify four new genome-wide loci ( IQCK , ACE , ADAM10 , and ADAMTS1 ). Pathway analysis of these data implicates the immune system and lipid metabolism, and for the first time tau binding proteins and APP metabolism. These findings show that genetic variants affecting APP and Aβ processing are not only associated with early-onset autosomal dominant AD but also with LOAD. Analysis of AD risk genes and pathways show enrichment for rare variants ( P = 1.32 × 10 −7 ) indicating that additional rare variants remain to be identified.
Related Papers
- → Gene and pathway-based second-wave analysis of genome-wide association studies(2009)240 cited
- → The combination of a genome-wide association study of lymphocyte count and analysis of gene expression data reveals novel asthma candidate genes(2012)52 cited
- → Genome-wide association studies in aging-related processes such as diabetes mellitus, atherosclerosis and cancer(2007)43 cited
- → A genome-wide association study links small-vessel ischemic stroke to autophagy(2017)19 cited
- → GWAS summary-based pathway analysis correcting for the genetic confounding impact of environmental exposures(2017)4 cited