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Genetic Evidence Implicates the Immune System and Cholesterol Metabolism in the Aetiology of Alzheimer's Disease
ISSN
1932-6203
Date Issued
2010-11-15
Author(s)
Jones, Lesley
Holmans, Peter A.
Hamshere, Marian L.
Harold, Denise
Moskvina, Valentina
Ivanov, Dobril
Pocklington, Andrew
Abraham, Richard
Hollingworth, Paul
Sims, Rebecca
Gerrish, Amy
Pahwa, Jaspreet Singh
Jones, Nicola
Stretton, Alexandra
Morgan, Angharad R.
Lovestone, Simon
Powell, John
Proitsi, Petroula
Lupton, Michelle K.
Brayne, Carol
Rubinsztein, David C.
Gill, Michael
Lawlor, Brian
Lynch, Aoibhinn
Morgan, Kevin
Brown, Kristelle S.
Passmore, Peter A.
Craig, David
McGuinness, Bernadette
Todd, Stephen
Holmes, Clive
Mann, David
Smith, A. David
Love, Seth
Kehoe, Patrick G.
Mead, Simon
Fox, Nick
Rossor, Martin
Collinge, John
Maier, Wolfgang
Jessen, Frank
Schürmann, Britta
van den Bussche, Hendrik
Heuser, Isabella
Peters, Oliver
Dichgans, Martin
Frölich, Lutz
Hampel, Harald
Hüll, Michael
Rujescu, Dan
Goate, Alison M.
Kauwe, John S. K.
Cruchaga, Carlos
Nowotny, Petra
Morris, John C.
Mayo, Kevin
Livingston, Gill
Bass, Nicholas J.
Gurling, Hugh
McQuillin, Andrew
Gwilliam, Rhian
Deloukas, Panos
Al-Chalabi, Ammar
Shaw, Christopher E.
Singleton, Andrew B.
Guerreiro, Rita
Mühleisen, Thomas W.
Nöthen, Markus M.
Moebus, Susanne
Jöckel, Karl-Heinz
Klopp, Norman
Wichmann, H.-Erich
Rüther, Eckhard
Carrasquillo, Minerva M.
Pankratz, V. Shane
Younkin, Steven G.
Hardy, John
O'Donovan, Michael C.
Owen, Michael J.
Williams, Julie
DOI
10.1371/journal.pone.0013950
Abstract
Background: Late Onset Alzheimer’s disease (LOAD) is the leading cause of dementia. Recent large genome-wide association studies (GWAS) identified the first strongly supported LOAD susceptibility genes since the discovery of the involvement of APOE in the early 1990s. We have now exploited these GWAS datasets to uncover key LOAD pathophysiological processes. Methodology: We applied a recently developed tool for mining GWAS data for biologically meaningful information to a LOAD GWAS dataset. The principal findings were then tested in an independent GWAS dataset. Principal Findings: We found a significant overrepresentation of association signals in pathways related to cholesterol metabolism and the immune response in both of the two largest genome-wide association studies for LOAD. Significance: Processes related to cholesterol metabolism and the innate immune response have previously been implicated by pathological and epidemiological studies of Alzheimer’s disease, but it has been unclear whether those findings reflected primary aetiological events or consequences of the disease process. Our independent evidence from two large studies now demonstrates that these processes are aetiologically relevant, and suggests that they may be suitable targets for novel and existing therapeutic approaches.
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