Evidence map›Paper›PMID 21647149›Full record

ArticleMolecular psychiatry2012

A multi-tissue analysis identifies HLA complex group 9 gene methylation differences in bipolar disorder.

Z Kaminsky, M Tochigi, P Jia, M Pal, J Mill, A Kwan, I Ioshikhes, J B Vincent, J L Kennedy, J Strauss and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular psychiatry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 2% 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

68 citing papers in PubMed, 2 syntheses or guidelines pooled it, 132 citations in OpenAlex.

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  12. Diethylstilbestrol and autism.Frontiers in endocrinology · 2022
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8 more citing papers are in PubMed but not listed here.

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

13 authors at 2 institutions in 4 countries.

Z KaminskyThe Krembil Family Epigenetics Laboratory, Neuroscience Department, Centre for Addiction and Mental Health, Toronto, ON, Canada.
M Tochigi
P Jia
M Pal
J Mill
A Kwan
I Ioshikhes
J B Vincent
J L Kennedy
J Strauss
S Pai
S-C Wang
A Petronis
Centre for Addiction and Mental Health · CAUniversity of Ottawa · CA

Funding

DNA METHYLOME ANALYSIS IN BIPOLAR DISORDERR01MH088413 · NIMH · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI PETRONIS, ART · 2009 to 2013
$4.1M
Molecular Epigenetic Studies of Major DepressionR01MH074127 · NIMH · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI PETRONIS, ART · 2005 to 2009
$1.3M
Canadian Institutes of Health Research 186007NIMH NIH HHS MH074127NIMH NIH HHS MH088413
6 · The paper itself

Abstract

Epigenetic studies of DNA and histone modifications represent a new and important activity in molecular investigations of human disease. Our previous epigenome-wide scan identified numerous DNA methylation differences in post-mortem brain samples from individuals affected with major psychosis. In this article, we present the results of fine mapping DNA methylation differences at the human leukocyte antigen (HLA) complex group 9 gene (HCG9) in bipolar disorder (BPD). Sodium bisulfite conversion coupled with pyrosequencing was used to interrogate 28 CpGs spanning ∼700 bp region of HCG9 in 1402 DNA samples from post-mortem brains, peripheral blood cells and germline (sperm) of bipolar disease patients and controls. The analysis of nearly 40 000 CpGs revealed complex relationships between DNA methylation and age, medication as well as DNA sequence variation (rs1128306). Two brain tissue cohorts exhibited lower DNA methylation in bipolar disease patients compared with controls at an extended HCG9 region (P=0.026). Logistic regression modeling of BPD as a function of rs1128306 genotype, age and DNA methylation uncovered an independent effect of DNA methylation in white blood cells (odds ratio (OR)=1.08, P=0.0077) and the overall sample (OR=1.24, P=0.0011). Receiver operating characteristic curve A prime statistics estimated a 69-72% probability of correct BPD prediction from a case vs control pool. Finally, sperm DNA demonstrated a significant association (P=0.018) with BPD at one of the regions demonstrating epigenetic changes in the post-mortem brain and peripheral blood samples. The consistent multi-tissue epigenetic differences at HCG9 argue for a causal association with BPD.

Indexed as

AdultAge FactorsBipolar DisorderBrainCase-Control StudiesDNA MethylationFemaleGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideRNA, Long NoncodingRNA, UntranslatedSpermatozoaHCG9 non-protein coding RNA, humanRNA, Long NoncodingRNA, Untranslated

Identifiers

PMID21647149
OpenAlexW2066612090

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.