Nature GeneticsGenetic & Genomic MedicinePeer-reviewed journal article
Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as novel risk factors for Alzheimers Disease
Henne H. HolstegeiD, Marc HulsmaniD, Camille CharbonnieriD, Benjamin Grenier‐BoleyiD, Olivier QueneziD, Detelina GrozevaiD, Jeroen van RooijiD, Rebecca SimsiD, Shahzad AhmadiD, Najaf AminiD, Penny J. NorsworthyiD, Oriol Dols‐IcardoiD, Holger HummerichiD, Amit KawaliaiD, Alzheimer's Disease Neuroimaging Initiative Database, Philippe AmouyeliD, Gary W. BeechamiD, Claudine BerriD, Joshua C. BisiD, Anne BolandiD, Paola BossùiD, Femke H. BouwmaniD, José BrásiD, Dominique CampioniD, J. Nicholas Cochran, , John HardyiD
Abstract
The genetic component of Alzheimers disease (AD) has been mainly assessed using Genome Wide Association Studies (GWAS), which do not capture the risk contributed by rare variants. Here, we compared the gene-based burden of rare damaging variants in exome sequencing data from 32,558 individuals --16,036 AD cases and 16,522 controls-- in a two-stage analysis. Next to known genes TREM2, SORL1 and ABCA7, we observed a significant association of rare, predicted damaging variants in ATP8B4 and ABCA1 with AD risk, and a suggestive signal in ADAM10. Next to these genes, the rare variant burden in RIN3, CLU, ZCWPW1 and ACE highlighted these genes as potential driver genes in AD-GWAS loci. Rare damaging variants in these genes, and in particular loss-of-function variants, have a large effect on AD-risk, and they are enriched in early onset AD cases. The newly identified AD-associated genes provide additional evidence for a major role for APP-processing, A{beta}-aggregation, lipid metabolism and microglial function in AD.
- organism: human
- assay: whole-exome sequencing
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 226
- FWCI
- 28.45
- Field percentile
- top 1%
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