Evidence map›Paper›PMID 38216218›Full record

ArticleBMJ mental health2024

Genome-wide DNA methylation risk scores for schizophrenia derived from blood and brain tissues further explain the genetic risk in patients stratified by polygenic risk scores for schizophrenia and bipolar disorder.

Kazutaka Ohi, Mihoko Shimada, Midori Soda, Daisuke Nishizawa, Daisuke Fujikane, Kentaro Takai, Ayumi Kuramitsu, Yukimasa Muto, Shunsuke Sugiyama, Junko Hasegawa and 3 more

Open access · diamondAbstract read
In one paragraph

Article in BMJ mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

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  4. A comprehensive guide to genomeZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
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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

13 authors at 5 institutions in 1 country.

Kazutaka OhiDepartment of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan ohi.kazutaka.h8@f.gifu-u.ac.jp.ORCID http://orcid.org/0000-0001-9577-9640
Mihoko ShimadaGenome Medical Science Project (Toyama), National Center for Global Health and Medicine (NCGM), Tokyo, Japan.
Midori SodaLaboratory of Pharmaceutics, Department of Biomedical Pharmaceutics, Gifu Pharmaceutical University, Gifu, Japan.
Daisuke NishizawaAddictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Daisuke FujikaneDepartment of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan.
Kentaro TakaiDepartment of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan.
Ayumi KuramitsuDepartment of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan.
Yukimasa MutoDepartment of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan.
Shunsuke SugiyamaDepartment of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan.
Junko HasegawaAddictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Kiyoyuki KitaichiLaboratory of Pharmaceutics, Department of Biomedical Pharmaceutics, Gifu Pharmaceutical University, Gifu, Japan.
Kazutaka IkedaAddictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Toshiki ShioiriDepartment of Psychiatry, Gifu University Graduate School of Medicine, Gifu, Japan.
Gifu University · JPTokyo Metropolitan Institute of Medical Science · JPGifu Pharmaceutical University · JPKanazawa Medical University · JPNational Center for Global Health and Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic and environmental factors contribute to the pathogenesis of schizophrenia (SZ) and bipolar disorder (BD). Among genetic risk groups stratified by combinations of Polygenic Risk Score (PRS) deciles for SZ, BD and SZ versus BD, genetic SZ risk groups had high SZ risk and prominent cognitive impairments. Furthermore, epigenetic alterations are implicated in these disorders. However, it was unclear whether DNA Methylation Risk Scores (MRSs) for SZ risk derived from blood and brain tissues were associated with SZ risk, particularly the PRS-stratified genetic SZ risk group.

methodsEpigenome-wide association studies (EWASs) of SZ risk in whole blood were preliminarily conducted between 66 SZ patients and 30 healthy controls (HCs) and among genetic risk groups (individuals with low genetic risk for SZ and BD in HCs (n=30) and in SZ patients (n=11), genetic BD risk in SZ patients (n=25) and genetic SZ risk in SZ patients (n=30)) stratified by combinations of PRSs for SZ, BD and SZ versus BD. Next, differences in MRSs based on independent EWASs of SZ risk in whole blood, postmortem frontal cortex (FC) and superior temporal gyrus (STG) were investigated among our case‒control and PRS-stratified genetic risk status groups.

resultsAmong case‒control and genetic risk status groups, 33 and 351 genome-wide significant differentially methylated positions (DMPs) associated with SZ were identified, respectively, many of which were hypermethylated. Compared with the low genetic risk in HCs group, the genetic SZ risk in SZ group had 39 genome-wide significant DMPs, while the genetic BD risk in SZ group had only six genome-wide significant DMPs. The MRSs for SZ risk derived from whole blood, FC and STG were higher in our SZ patients than in HCs in whole blood and were particularly higher in the genetic SZ risk in SZ group than in the low genetic risk in HCs and genetic BD risk in SZ groups. Conversely, the MRSs for SZ risk based on our whole-blood EWASs among genetic risk groups were also associated with SZ in the FC and STG. There were no correlations between the MRSs and PRSs.

conclusionsThese findings suggest that the MRS is a potential genetic marker in understanding SZ, particularly in patients with a genetic SZ risk.

Indexed as

Bipolar DisorderSchizophreniaDNA MethylationFrontal LobeGenetic Risk ScoreHumansRisk Factorsdepression & mood disorderspsychiatryschizophrenia & psychotic disorders

Identifiers

PMID38216218
PMCPMC10806921
OpenAlexW4390825610

What OpenQuestion holds

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LicenceCC BY-NC
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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.