Emily Baker
Gene-based analysis in HRC imputed genome wide association data identifies three novel genes for Alzheimer’s disease
Baker, Emily; Sims, Rebecca; Leonenko, Ganna; Maier, Wolfgang; Heun, Reinhard; Harwood, Janet C.; Frizzati, Aura; Gill, Michael; Mead, Simon; Morgan, Kevin; Grozeva, Detelina; Passmore, Peter; Holmes, Clive; Powell, John; Brayne, Carol; Boss�, Paola; Spalletta, Gianfranco; Goate, Alison M.; Cruchaga, Carlos; Jessen, Frank; Peters, Oliver; Dichgans, Martin; Fr�Lich, Lutz; Ramirez, Alfredo; Jones, Lesley; Hardy, John; Ivanov, Dobril; Hill, Matthew; Holmans, Peter; Allen, Nicholas D.; Morgan, B. Paul; Seshadri, Sudha; Schellenberg, Gerard D.; Amouyel, Philippe; Williams, Julie; Escott-Price, Valentina
Authors
Rebecca Sims
Ganna Leonenko
Wolfgang Maier
Reinhard Heun
Janet C. Harwood
Aura Frizzati
Michael Gill
Simon Mead
Kevin Morgan
Detelina Grozeva
Peter Passmore
Clive Holmes
John Powell
Carol Brayne
Paola Boss�
Gianfranco Spalletta
Alison M. Goate
Carlos Cruchaga
Frank Jessen
Oliver Peters
Martin Dichgans
Lutz Fr�Lich
Alfredo Ramirez
Lesley Jones
John Hardy
Dobril Ivanov
Matthew Hill
Peter Holmans
Nicholas D. Allen
B. Paul Morgan
Sudha Seshadri
Gerard D. Schellenberg
Philippe Amouyel
Julie Williams
Valentina Escott-Price
Contributors
Evangelos Evangelou
Editor
Abstract
Late onset Alzheimer’s disease is the most common form of dementia for which about 30 susceptibility loci have been reported. The aim of the current study is to identify novel genes associated with Alzheimer’s disease using the largest up-to-date reference single nucleotide polymorphism (SNP) panel, the most accurate imputation software and a novel gene-based analysis approach which tests for patterns of association within genes, in the powerful genome-wide association dataset of the International Genomics of Alzheimer’s Project Consortium, comprising over 7 million genotypes from 17,008 Alzheimer’s cases and 37,154 controls. In addition to earlier reported genes, we detected three novel gene-wide significant loci PPARGC1A (p = 2.2 × 10−6), RORA (p = 7.4 × 10−7) and ZNF423 (p = 2.1 × 10−6). PPARGC1A and RORA are involved in circadian rhythm; circadian disturbances are one of the earliest symptoms of Alzheimer’s disease. PPARGC1A is additionally linked to energy metabolism and the generation of amyloid beta plaques. RORA is involved in a variety of functions apart from circadian rhythm, such as cholesterol metabolism and inflammation. The ZNF423 gene resides in an Alzheimer’s disease-specific protein network and is likely involved with centrosomes and DNA damage repair.
Citation
Baker, E., Sims, R., Leonenko, G., Maier, W., Heun, R., Harwood, J. C., …Escott-Price, V. (2019). Gene-based analysis in HRC imputed genome wide association data identifies three novel genes for Alzheimer’s disease. PLoS ONE, 14(7), 1-11. https://doi.org/10.1371/journal.pone.0218111
Journal Article Type | Article |
---|---|
Acceptance Date | May 27, 2019 |
Online Publication Date | Jul 8, 2019 |
Publication Date | Jul 8, 2019 |
Deposit Date | Nov 21, 2019 |
Publicly Available Date | Nov 21, 2019 |
Journal | PLoS ONE |
Electronic ISSN | 1932-6203 |
Publisher | Public Library of Science |
Peer Reviewed | Peer Reviewed |
Volume | 14 |
Issue | 7 |
Article Number | e0218111 |
Pages | 1-11 |
DOI | https://doi.org/10.1371/journal.pone.0218111 |
Keywords | General Biochemistry, Genetics and Molecular Biology; General Agricultural and Biological Sciences; General Medicine |
Public URL | https://nottingham-repository.worktribe.com/output/3350524 |
Publisher URL | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0218111 |
Contract Date | Nov 21, 2019 |
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