Evidence map›Paper›PMID 27709425›Full record

ArticleNeurogenetics2017

Epigenome-wide DNA methylation analysis in siblings and monozygotic twins discordant for sporadic Parkinson's disease revealed different epigenetic patterns in peripheral blood mononuclear cells.

Oliver Kaut, Ina Schmitt, Jörg Tost, Florence Busato, Yi Liu, Per Hofmann, Stephanie H Witt, Marcella Rietschel, Holger Fröhlich, Ullrich Wüllner

Abstract readTwin Study
PubMed Publisher
In one paragraph

Article in Neurogenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 3 countries.

Oliver KautDepartment of Neurology, University of Bonn, 53105, Bonn, Germany. oliver.kaut@ukb.uni-bonn.de.
Ina SchmittDepartment of Neurology, University of Bonn, 53105, Bonn, Germany.
Jörg TostLaboratory for Epigenetics and Environment (LEE), Centre National de Génotypage, CEA-Institut de Génomique, 91057, Evry Cedex, France.
Florence BusatoLaboratory for Epigenetics and Environment (LEE), Centre National de Génotypage, CEA-Institut de Génomique, 91057, Evry Cedex, France.
Yi LiuLaboratory for Epigenetics and Environment (LEE), Centre National de Génotypage, CEA-Institut de Génomique, 91057, Evry Cedex, France.
Per HofmannInstitute for Human Genetics, Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany.
Stephanie H WittDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, 68159, Mannheim, Germany.
Marcella RietschelDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, 68159, Mannheim, Germany.
Holger FröhlichBonn-Aachen International Center for IT (B-IT), Algorithmic Bioinformatics, University of Bonn, 53113, Bonn, Germany.
Ullrich WüllnerDepartment of Neurology, University of Bonn, 53105, Bonn, Germany.
University of Bonn · DEGenoscope · FRCentral Institute of Mental Health · DECommissariat à l'Énergie Atomique et aux Énergies Alternatives · FRHeidelberg University · DE

Funding

Wellcome Trust
6 · The paper itself

Abstract

Numerous studies have elucidated the genetics of Parkinson's disease; however, the aetiology of the majority of sporadic cases has not yet been resolved. We hypothesized that epigenetic variations could be associated with PD and evaluated the DNA methylation pattern in PD patients compared to brothers or twins without PD. The methylation of DNA from peripheral blood mononuclear cells of 62 discordant siblings including 24 monozygotic twins was characterized with Illumina DNA Methylation 450K bead arrays and subsequently validated in two independent cohorts: 221 PD vs. 227 healthy individuals (cohort 1) applying Illumina's VeraCode and 472 PD patients vs. 487 controls (cohort 2) using pyrosequencing. We choose a delta beta of >15 % and selected 62 differentially methylated CpGs in 51 genes from the discordant siblings. Among them, three displayed multiple CpGs per gene: microRNA 886 (MIR886, 10 CpGs), phosphodiesterase 4D (PDE4D, 2 CpGs) and tripartite motif-containing 34 (TRIM34, 2 CpGs). PDE4D was confirmed in both cohorts (p value 2.44e-05). In addition, for biomarker construction, we used the penalized logistic regression model, resulting in a signature of eight CpGs with an AUC of 0.77. Our findings suggest that a distinct level of PD susceptibility stems from individual, epigenetic modifications of specific genes. We identified a signature of CpGs in blood cells that could separate control from disease with a reasonable discriminatory power, holding promise for future epigenetically based biomarker development.

Indexed as

DNA MethylationEpigenesis, GeneticSiblingsAgedCase-Control StudiesEpigenomicsFemaleHumansLeukocytes, MononuclearMaleMicroarray AnalysisMiddle AgedParkinson DiseaseTwins, MonozygoticBiomarkerMicroarrayMovement disorderNeurodegeneration

Identifiers

PMID27709425
OpenAlexW2529519474

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.