Evidence map›Paper›PMID 30135428›Full record

ArticleTranslational psychiatry2018

Convergence of evidence from a methylome-wide CpG-SNP association study and GWAS of major depressive disorder.

Karolina A Aberg, Andrey A Shabalin, Robin F Chan, Min Zhao, Gaurav Kumar, Gerard van Grootheest, Shaunna L Clark, Lin Y Xie, Yuri Milaneschi, Brenda W J H Penninx and 1 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Journal of psychiatry & neuroscience : JPN · 2020
    Article
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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

11 authors.

Karolina A AbergCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA. kaaberg@vcu.edu.
Andrey A ShabalinCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Robin F ChanCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.ORCID http://orcid.org/0000-0002-1774-4087
Min ZhaoCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Gaurav KumarCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Gerard van GrootheestDepartment of Psychiatry, Amsterdam Neuroscience, VU University Medical Center/GGZ inGeest, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0003-4350-6661
Shaunna L ClarkCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.ORCID http://orcid.org/0000-0002-3193-6923
Lin Y XieCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Yuri MilaneschiDepartment of Psychiatry, Amsterdam Neuroscience, VU University Medical Center/GGZ inGeest, Amsterdam, The Netherlands.
Brenda W J H PenninxDepartment of Psychiatry, Amsterdam Neuroscience, VU University Medical Center/GGZ inGeest, Amsterdam, The Netherlands.
Edwin J C G van den OordCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, USA.

Funding

Integration of Genomics & Transcriptomics in Normal Twins & Major DepressionRC2MH089951 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2009 to 2010
$6.5M
Genomics of Developmental Trajectories in TwinsRC2MH089995 · NIMH · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI HUDZIAK, JAMES J. · 2009 to 2010
$3.8M
A longitudinal methylome study to detect biomarkers predicting MDD trajectoriesR01MH099110 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI VAN DEN OORD, EDWIN · 2013 to 2017
$2.9M
NIMH NIH HHS R01 MH099110NIMH NIH HHS RC2 MH089951NIMH NIH HHS RC2 MH089995
6 · The paper itself

Abstract

DNA methylation is an epigenetic modification that provides stability and diversity to the cellular phenotype. It is influenced by both genetic sequence variation and environmental factors, and can therefore potentially account for variation of heritable phenotypes and disorders. Therefore, methylome-wide association studies (MWAS) are promising complements to genome-wide association studies (GWAS) of genetic variants. Of particular interest are methylation sites (CpGs) that are created or destroyed by the alleles of single-nucleotide polymorphisms (SNPs), as these so-called CpG-SNPs may show variation in methylation levels on top of what can be explained by the sequence variation. Using sequencing-based data from 1132 major depressive disorder (MDD) cases and controls, we performed a MWAS of 970,414 common CpG-SNPs. The analysis identified 27 suggestively significant (P < 1.00 × 10

Indexed as

CpG IslandsGenome-Wide Association StudyPolymorphism, Single NucleotideAdultAllelesCase-Control StudiesDNA MethylationEpigenesis, GeneticFemaleGenetic LociHumansMajor Depressive DisorderMaleMiddle AgedPhenotype

Identifiers

PMID30135428
PMCPMC6105579

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Registered trials

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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.