Nature Communications (Jun 2021)
A meta-analysis of epigenome-wide association studies in Alzheimer’s disease highlights novel differentially methylated loci across cortex
- Rebecca G. Smith,
- Ehsan Pishva,
- Gemma Shireby,
- Adam R. Smith,
- Janou A. Y. Roubroeks,
- Eilis Hannon,
- Gregory Wheildon,
- Diego Mastroeni,
- Gilles Gasparoni,
- Matthias Riemenschneider,
- Armin Giese,
- Andrew J. Sharp,
- Leonard Schalkwyk,
- Vahram Haroutunian,
- Wolfgang Viechtbauer,
- Daniel L. A. van den Hove,
- Michael Weedon,
- Danielle Brokaw,
- Paul T. Francis,
- Alan J. Thomas,
- Seth Love,
- Kevin Morgan,
- Jörn Walter,
- Paul D. Coleman,
- David A. Bennett,
- Philip L. De Jager,
- Jonathan Mill,
- Katie Lunnon
Affiliations
- Rebecca G. Smith
- University of Exeter Medical School, College of Medicine and Health, University of Exeter
- Ehsan Pishva
- University of Exeter Medical School, College of Medicine and Health, University of Exeter
- Gemma Shireby
- University of Exeter Medical School, College of Medicine and Health, University of Exeter
- Adam R. Smith
- University of Exeter Medical School, College of Medicine and Health, University of Exeter
- Janou A. Y. Roubroeks
- University of Exeter Medical School, College of Medicine and Health, University of Exeter
- Eilis Hannon
- University of Exeter Medical School, College of Medicine and Health, University of Exeter
- Gregory Wheildon
- University of Exeter Medical School, College of Medicine and Health, University of Exeter
- Diego Mastroeni
- Banner ASU Neurodegenerative Research Center, Biodesign Institute, Arizona State University
- Gilles Gasparoni
- Department of Genetics, University of Saarland (UdS)
- Matthias Riemenschneider
- Department of Psychiatry and Psychotherapy, Saarland University Hospital (UKS)
- Armin Giese
- Center for Neuropathology and Prion Research, Ludwig-Maximilians-University (LMU)
- Andrew J. Sharp
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai
- Leonard Schalkwyk
- School of Biological Sciences, University of Essex
- Vahram Haroutunian
- Department of Psychiatry, The Icahn School of Medicine at Mount Sinai
- Wolfgang Viechtbauer
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University
- Daniel L. A. van den Hove
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University
- Michael Weedon
- University of Exeter Medical School, College of Medicine and Health, University of Exeter
- Danielle Brokaw
- Banner ASU Neurodegenerative Research Center, Biodesign Institute, Arizona State University
- Paul T. Francis
- University of Exeter Medical School, College of Medicine and Health, University of Exeter
- Alan J. Thomas
- Institute of Neuroscience, Newcastle University
- Seth Love
- Dementia Research Group, Institute of Clinical Neurosciences, School of Clinical Sciences, University of Bristol
- Kevin Morgan
- Human Genetics Group, University of Nottingham
- Jörn Walter
- Department of Genetics, University of Saarland (UdS)
- Paul D. Coleman
- Banner ASU Neurodegenerative Research Center, Biodesign Institute, Arizona State University
- David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center
- Philip L. De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology and Taub Institute, Columbia University Medical Center
- Jonathan Mill
- University of Exeter Medical School, College of Medicine and Health, University of Exeter
- Katie Lunnon
- University of Exeter Medical School, College of Medicine and Health, University of Exeter
- DOI
- https://doi.org/10.1038/s41467-021-23243-4
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 13
Abstract
Although epigenome-wide association studies of Alzheimer’s disease have highlighted neuropathology-associated DNA methylation differences, previous studies have been limited in sample size and brain region used. Here, the authors combine data from six DNA methylomic studies of Alzheimer’s disease (N = 1453 unique individuals) to identify differentially methylated loci across cortex.
