Alzheimer's disease: early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other loci
Aging can lead to cognitive decline associated with neural pathology and Alzheimer's disease (AD). Here the authors scan the methylation status of CpGs across the entire genome of brain samples from aged subjects in an epigenome-wide association study (EWAS). Several loci, including ANK1, were...
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Published in | Nature neuroscience Vol. 17; no. 9; pp. 1156 - 1163 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.09.2014
Nature Publishing Group |
Subjects | |
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Abstract | Aging can lead to cognitive decline associated with neural pathology and Alzheimer's disease (AD). Here the authors scan the methylation status of CpGs across the entire genome of brain samples from aged subjects in an epigenome-wide association study (EWAS). Several loci, including ANK1, were associated with AD pathology, gene expression and AD genetic risk networks.
We used a collection of 708 prospectively collected autopsied brains to assess the methylation state of the brain's DNA in relation to Alzheimer's disease (AD). We found that the level of methylation at 71 of the 415,848 interrogated CpGs was significantly associated with the burden of AD pathology, including CpGs in the
ABCA7
and
BIN1
regions, which harbor known AD susceptibility variants. We validated 11 of the differentially methylated regions in an independent set of 117 subjects. Furthermore, we functionally validated these CpG associations and identified the nearby genes whose RNA expression was altered in AD:
ANK1
,
CDH23
,
DIP2A
,
RHBDF2
,
RPL13
,
SERPINF1
and
SERPINF2
. Our analyses suggest that these DNA methylation changes may have a role in the onset of AD given that we observed them in presymptomatic subjects and that six of the validated genes connect to a known AD susceptibility gene network. |
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AbstractList | We used a collection of 708 prospectively collected autopsied brains to assess the methylation state of the brain's DNA in relation to Alzheimer's disease (AD). We found that the level of methylation at 71 of the 415,848 interrogated CpGs was significantly associated with the burden of AD pathology, including CpGs in the ABCA7 and BIN1 regions, which harbor known AD susceptibility variants. We validated 11 of the differentially methylated regions in an independent set of 117 subjects. Furthermore, we functionally validated these CpG associations and identified the nearby genes whose RNA expression was altered in AD: ANK1, CDH23, DIP2A, RHBDF2, RPL13, SERPINF1 and SERPINF2. Our analyses suggest that these DNA methylation changes may have a role in the onset of AD given that we observed them in presymptomatic subjects and that six of the validated genes connect to a known AD susceptibility gene network. We used a collection of 708 prospectively collected autopsied brains to assess the methylation state of the brain's DNA in relation to Alzheimer's disease (AD). We found that the level of methylation at 71 of the 415,848 interrogated CpGs was significantly associated with the burden of AD pathology, including CpGs in the ABCA7 and BIN1 regions, which harbor known AD susceptibility variants. We validated 11 of the differentially methylated regions in an independent set of 117 subjects. Furthermore, we functionally validated these CpG associations and identified the nearby genes whose RNA expression was altered in AD: ANK1, CDH23, DIP2A, RHBDF2, RPL13, SERPINF1 and SERPINF2. Our analyses suggest that these DNA methylation changes may have a role in the onset of AD given that we observed them in presymptomatic subjects and that six of the validated genes connect to a known AD susceptibility gene network.We used a collection of 708 prospectively collected autopsied brains to assess the methylation state of the brain's DNA in relation to Alzheimer's disease (AD). We found that the level of methylation at 71 of the 415,848 interrogated CpGs was significantly associated with the burden of AD pathology, including CpGs in the ABCA7 and BIN1 regions, which harbor known AD susceptibility variants. We validated 11 of the differentially methylated regions in an independent set of 117 subjects. Furthermore, we functionally validated these CpG associations and identified the nearby genes whose RNA expression was altered in AD: ANK1, CDH23, DIP2A, RHBDF2, RPL13, SERPINF1 and SERPINF2. Our analyses suggest that these DNA methylation changes may have a role in the onset of AD given that we observed them in presymptomatic subjects and that six of the validated genes connect to a known AD susceptibility gene network. Aging can lead to cognitive decline associated with neural pathology and Alzheimer's disease (AD). Here the authors scan the methylation status of CpGs across the entire genome of brain samples from aged subjects in an epigenome-wide association study (EWAS). Several loci, including ANK1, were associated with AD pathology, gene expression and AD genetic risk networks. We used a collection of 708 prospectively collected autopsied brains to assess the methylation state of the brain's DNA in relation to Alzheimer's disease (AD). We found that the level of methylation at 71 of the 415,848 interrogated CpGs was significantly associated with the burden of AD pathology, including CpGs in the ABCA7 and BIN1 regions, which harbor known AD susceptibility variants. We validated 11 of the differentially methylated regions in an independent set of 117 subjects. Furthermore, we functionally validated these CpG associations and identified the nearby genes whose RNA expression was altered in AD: ANK1 , CDH23 , DIP2A , RHBDF2 , RPL13 , SERPINF1 and SERPINF2 . Our analyses suggest that these DNA methylation changes may have a role in the onset of AD given that we observed them in presymptomatic subjects and that six of the validated genes connect to a known AD susceptibility gene network. |
Audience | Academic |
Author | Keenan, Brendan T Bernstein, Bradley E Ertekin-Taner, Nilufer Younkin, Steven G Chai, High S Schneider, Julie A Lunnon, Katie Eaton, Matthew L Mill, Jonathan Kellis, Manolis Bennett, David A Tang, Anna Epstein, Charles B De Jager, Philip L McCabe, Cristin Chibnik, Lori B Meissner, Alex Gabriel, Stacey Yu, Lei Raj, Towfique Younkin, Curtis Replogle, Joseph Szyf, Moshe Brodeur, Wendy Schalkwyk, Leonard C Srivastava, Gyan Burgess, Jeremy Zou, Fanggeng Ernst, Jason |
Author_xml | – sequence: 1 givenname: Philip L surname: De Jager fullname: De Jager, Philip L email: pdejager@partners.org organization: Departments of Neurology and Psychiatry, Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Brigham and Women's Hospital, Harvard Medical School, Program in Medical and Population Genetics, Broad Institute – sequence: 2 givenname: Gyan surname: Srivastava fullname: Srivastava, Gyan organization: Departments of Neurology and Psychiatry, Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Brigham and Women's Hospital, Program in Medical and Population Genetics, Broad Institute – sequence: 3 givenname: Katie surname: Lunnon fullname: Lunnon, Katie organization: University of Exeter Medical School, University of Exeter, Institute of Psychiatry, King's College London – sequence: 4 givenname: Jeremy surname: Burgess fullname: Burgess, Jeremy organization: Department of Neuroscience, Mayo Clinic, Department of Neurology, Mayo Clinic – sequence: 5 givenname: Leonard C orcidid: 0000-0001-7030-5756 surname: Schalkwyk fullname: Schalkwyk, Leonard C organization: University of Exeter Medical School, University of Exeter, Institute of Psychiatry, King's College London – sequence: 6 givenname: Lei surname: Yu fullname: Yu, Lei organization: Rush Alzheimer's Disease Center, Rush University Medical Center – sequence: 7 givenname: Matthew L surname: Eaton fullname: Eaton, Matthew L organization: Program in Medical and Population Genetics, Broad Institute, Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology – sequence: 8 givenname: Brendan T surname: Keenan fullname: Keenan, Brendan T organization: Departments of Neurology and Psychiatry, Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Brigham and Women's Hospital, Program in Medical and Population Genetics, Broad Institute – sequence: 9 givenname: Jason surname: Ernst fullname: Ernst, Jason organization: Program in Medical and Population Genetics, Broad Institute, Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology – sequence: 10 givenname: Cristin surname: McCabe fullname: McCabe, Cristin organization: Program in Medical and Population Genetics, Broad Institute – sequence: 11 givenname: Anna surname: Tang fullname: Tang, Anna organization: Departments of Neurology and Psychiatry, Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Brigham and Women's Hospital – sequence: 12 givenname: Towfique surname: Raj fullname: Raj, Towfique organization: Departments of Neurology and Psychiatry, Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Brigham and Women's Hospital, Harvard Medical School, Program in Medical and Population Genetics, Broad Institute – sequence: 13 givenname: Joseph surname: Replogle fullname: Replogle, Joseph organization: Departments of Neurology and Psychiatry, Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Brigham and Women's Hospital, Harvard Medical School, Program in Medical and Population Genetics, Broad Institute – sequence: 14 givenname: Wendy surname: Brodeur fullname: Brodeur, Wendy organization: Genetic Analysis Platform, Broad Institute – sequence: 15 givenname: Stacey surname: Gabriel fullname: Gabriel, Stacey organization: Genetic Analysis Platform, Broad Institute – sequence: 16 givenname: High S surname: Chai fullname: Chai, High S organization: Department of Neuroscience, Mayo Clinic, Department of Neurology, Mayo Clinic – sequence: 17 givenname: Curtis surname: Younkin fullname: Younkin, Curtis organization: Department of Neuroscience, Mayo Clinic – sequence: 18 givenname: Steven G surname: Younkin fullname: Younkin, Steven G organization: Department of Neuroscience, Mayo Clinic – sequence: 19 givenname: Fanggeng surname: Zou fullname: Zou, Fanggeng organization: Department of Neuroscience, Mayo Clinic – sequence: 20 givenname: Moshe surname: Szyf fullname: Szyf, Moshe organization: Department of Pharmacology and Therapeutics, McGill University – sequence: 21 givenname: Charles B surname: Epstein fullname: Epstein, Charles B organization: Epigenomics Program, Broad Institute – sequence: 22 givenname: Julie A surname: Schneider fullname: Schneider, Julie A organization: Rush Alzheimer's Disease Center, Rush University Medical Center – sequence: 23 givenname: Bradley E surname: Bernstein fullname: Bernstein, Bradley E organization: Harvard Medical School, Epigenomics Program, Broad Institute, Department of Pathology, Massachusetts General Hospital – sequence: 24 givenname: Alex surname: Meissner fullname: Meissner, Alex organization: Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Epigenomics Program, Broad Institute, Harvard Stem Cell Institute, Harvard University – sequence: 25 givenname: Nilufer surname: Ertekin-Taner fullname: Ertekin-Taner, Nilufer organization: Department of Neuroscience, Mayo Clinic, Department of Neurology, Mayo Clinic – sequence: 26 givenname: Lori B surname: Chibnik fullname: Chibnik, Lori B organization: Departments of Neurology and Psychiatry, Program in Translational NeuroPsychiatric Genomics, Institute for the Neurosciences, Brigham and Women's Hospital, Harvard Medical School, Program in Medical and Population Genetics, Broad Institute – sequence: 27 givenname: Manolis surname: Kellis fullname: Kellis, Manolis organization: Program in Medical and Population Genetics, Broad Institute, Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology – sequence: 28 givenname: Jonathan surname: Mill fullname: Mill, Jonathan organization: University of Exeter Medical School, University of Exeter, Institute of Psychiatry, King's College London – sequence: 29 givenname: David A surname: Bennett fullname: Bennett, David A email: david_a_bennett@rush.edu organization: Rush Alzheimer's Disease Center, Rush University Medical Center |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25129075$$D View this record in MEDLINE/PubMed |
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Snippet | Aging can lead to cognitive decline associated with neural pathology and Alzheimer's disease (AD). Here the authors scan the methylation status of CpGs across... We used a collection of 708 prospectively collected autopsied brains to assess the methylation state of the brain's DNA in relation to Alzheimer's disease... |
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SubjectTerms | 45 45/43 631/1647/2210/2213 631/208/177 631/378/1689/1283 Adaptor Proteins, Signal Transducing - genetics Aged Aged, 80 and over Alzheimer Disease - epidemiology Alzheimer Disease - genetics Alzheimer Disease - pathology Alzheimer's disease Amyloidosis - epidemiology Amyloidosis - genetics Amyloidosis - pathology Animal Genetics and Genomics Ankyrins - genetics Behavioral Sciences Biological Techniques Biomedicine Brain Brain - pathology Brain - physiology Brain research Carrier Proteins - genetics CpG Islands - genetics Development and progression DNA methylation DNA Methylation - genetics Female Genes Genetic aspects Genetic engineering Genetic Predisposition to Disease - epidemiology Genetic Predisposition to Disease - genetics Genetic research Genetic susceptibility Genetic testing Genome-Wide Association Study Genomes Genomics Humans Intracellular Signaling Peptides and Proteins Male Methylation Middle Aged Neurobiology Neurosciences Nuclear Proteins - genetics Pathology Protein Interaction Maps Tumor Suppressor Proteins - genetics |
Title | Alzheimer's disease: early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other loci |
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