Literature DB >> 25365775

Association of Brain DNA methylation in SORL1, ABCA7, HLA-DRB5, SLC24A4, and BIN1 with pathological diagnosis of Alzheimer disease.

Lei Yu1, Lori B Chibnik2, Gyan P Srivastava2, Nathalie Pochet2, Jingyun Yang1, Jishu Xu2, James Kozubek2, Nikolaus Obholzer2, Sue E Leurgans3, Julie A Schneider4, Alexander Meissner5, Philip L De Jager2, David A Bennett1.   

Abstract

IMPORTANCE: Recent large-scale genome-wide association studies have discovered several genetic variants associated with Alzheimer disease (AD); however, the extent to which DNA methylation in these AD loci contributes to the disease susceptibility remains unknown.
OBJECTIVE: To examine the association of brain DNA methylation in 28 reported AD loci with AD pathologies. DESIGN, SETTING, AND PARTICIPANTS: Ongoing community-based clinical pathological cohort studies of aging and dementia (the Religious Orders Study and the Rush Memory and Aging Project) among 740 autopsied participants 66.0 to 108.3 years old. EXPOSURES: DNA methylation levels at individual CpG sites generated from dorsolateral prefrontal cortex tissue using a bead assay. MAIN OUTCOMES AND MEASURES: Pathological diagnosis of AD by National Institute on Aging-Reagan criteria following a standard postmortem examination.
RESULTS: Overall, 447 participants (60.4%) met the criteria for pathological diagnosis of AD. Brain DNA methylation in SORL1, ABCA7, HLA-DRB5, SLC24A4, and BIN1 was associated with pathological AD. The association was robustly retained after replacing the binary trait of pathological AD with 2 quantitative and molecular specific hallmarks of AD, namely, Aβ load and paired helical filament tau tangle density. Furthermore, RNA expression of transcripts of SORL1 and ABCA7 was associated with paired helical filament tau tangle density, and the expression of BIN1 was associated with Aβ load. CONCLUSIONS AND RELEVANCE: Brain DNA methylation in multiple AD loci is associated with AD pathologies. The results provide further evidence that disruption of DNA methylation is involved in the pathological process of AD.

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Year:  2015        PMID: 25365775      PMCID: PMC4344367          DOI: 10.1001/jamaneurol.2014.3049

Source DB:  PubMed          Journal:  JAMA Neurol        ISSN: 2168-6149            Impact factor:   18.302


  42 in total

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Journal:  Neurobiol Aging       Date:  2013-04-09       Impact factor: 4.673

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8.  BIN1 is decreased in sporadic but not familial Alzheimer's disease or in aging.

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Journal:  PLoS One       Date:  2013-10-21       Impact factor: 3.240

9.  TREM2 variants in Alzheimer's disease.

Authors:  Rita Guerreiro; Aleksandra Wojtas; Jose Bras; Minerva Carrasquillo; Ekaterina Rogaeva; Elisa Majounie; Carlos Cruchaga; Celeste Sassi; John S K Kauwe; Steven Younkin; Lilinaz Hazrati; John Collinge; Jennifer Pocock; Tammaryn Lashley; Julie Williams; Jean-Charles Lambert; Philippe Amouyel; Alison Goate; Rosa Rademakers; Kevin Morgan; John Powell; Peter St George-Hyslop; Andrew Singleton; John Hardy
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10.  Increased expression of BIN1 mediates Alzheimer genetic risk by modulating tau pathology.

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  106 in total

1.  Exploring the epigenetics of Alzheimer disease.

Authors:  Bryan J Traynor; Alan E Renton
Journal:  JAMA Neurol       Date:  2015-01       Impact factor: 18.302

2.  Novel methods for integration and visualization of genomics and genetics data in Alzheimer's disease.

Authors:  Nathan A Bihlmeyer; Emily Merrill; Yann Lambert; Gyan P Srivastava; Timothy W Clark; Bradley T Hyman; Sudeshna Das
Journal:  Alzheimers Dement       Date:  2019-03-29       Impact factor: 21.566

3.  Association Between Brain Gene Expression, DNA Methylation, and Alteration of Ex Vivo Magnetic Resonance Imaging Transverse Relaxation in Late-Life Cognitive Decline.

Authors:  Lei Yu; Robert J Dawe; Patricia A Boyle; Chris Gaiteri; Jingyun Yang; Aron S Buchman; Julie A Schneider; Konstantinos Arfanakis; Philip L De Jager; David A Bennett
Journal:  JAMA Neurol       Date:  2017-12-01       Impact factor: 18.302

Review 4.  Impact of late-onset Alzheimer's genetic risk factors on beta-amyloid endocytic production.

Authors:  Cláudia Guimas Almeida; Farzaneh Sadat Mirfakhar; Catarina Perdigão; Tatiana Burrinha
Journal:  Cell Mol Life Sci       Date:  2018-04-27       Impact factor: 9.261

5.  Association of DNA methylation in the brain with age in older persons is confounded by common neuropathologies.

Authors:  Jingyun Yang; Lei Yu; Christopher Gaiteri; Gyan P Srivastava; Lori B Chibnik; Sue E Leurgans; Julie A Schneider; Alexander Meissner; Philip L De Jager; David A Bennett
Journal:  Int J Biochem Cell Biol       Date:  2015-05-21       Impact factor: 5.085

6.  coMethDMR: accurate identification of co-methylated and differentially methylated regions in epigenome-wide association studies with continuous phenotypes.

Authors:  Lissette Gomez; Gabriel J Odom; Juan I Young; Eden R Martin; Lizhong Liu; Xi Chen; Anthony J Griswold; Zhen Gao; Lanyu Zhang; Lily Wang
Journal:  Nucleic Acids Res       Date:  2019-09-26       Impact factor: 16.971

7.  Mechanisms and Disease Associations of Haplotype-Dependent Allele-Specific DNA Methylation.

Authors:  Catherine Do; Charles F Lang; John Lin; Huferesh Darbary; Izabela Krupska; Aulona Gaba; Lynn Petukhova; Jean-Paul Vonsattel; Mary P Gallagher; Robin S Goland; Raphael A Clynes; Andrew Dwork; John G Kral; Catherine Monk; Angela M Christiano; Benjamin Tycko
Journal:  Am J Hum Genet       Date:  2016-05-05       Impact factor: 11.025

8.  Single-Base Resolution Mapping of 5-Hydroxymethylcytosine Modifications in Hippocampus of Alzheimer's Disease Subjects.

Authors:  Elizabeth M Ellison; Melissa A Bradley-Whitman; Mark A Lovell
Journal:  J Mol Neurosci       Date:  2017-09-02       Impact factor: 3.444

9.  Transgenerational latent early-life associated regulation unites environment and genetics across generations.

Authors:  Debomoy K Lahiri; Bryan Maloney; Baindu L Bayon; Nipun Chopra; Fletcher A White; Nigel H Greig; John I Nurnberger
Journal:  Epigenomics       Date:  2016-03-07       Impact factor: 4.778

10.  Changes in DNA methylation over the growing season differ between North Carolina farmworkers and non-farmworkers.

Authors:  Timothy D Howard; Fang-Chi Hsu; Haiying Chen; Sara A Quandt; Jennifer W Talton; Phillip Summers; Thomas A Arcury
Journal:  Int Arch Occup Environ Health       Date:  2016-06-27       Impact factor: 3.015

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