Evidence map›Paper›PMID 35536160›Full record

SynthesisPsychiatry and clinical neurosciences2022

Shared genetic components between metabolic syndrome and schizophrenia: Genetic correlation using multipopulation data sets.

Rei Aoki, Takeo Saito, Kohei Ninomiya, Ayu Shimasaki, Takuma Ashizawa, Kenta Ito, Masashi Ikeda, Nakao Iwata

Abstract readMeta-Analysis
In one paragraph

Synthesis in Psychiatry and clinical neurosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 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

17 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  5. Article
  6. Are There Causal Associations Between Obsessive-Compulsive Disorder and Cardiometabolic Phenotypes? A Genetic Correlation and Bi-Directional Mendelian Randomization Study.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2026
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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

8 authors.

Rei AokiDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.
Takeo SaitoDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.
Kohei NinomiyaDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.
Ayu ShimasakiDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.
Takuma AshizawaDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.
Kenta ItoDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.
Masashi IkedaDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.ORCID https://orcid.org/0000-0001-6237-2449
Nakao IwataDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.

Funding

Fujita Health UniversityJapan Agency for Medical Research and Development JP20dm0107097Japan Agency for Medical Research and Development JP20km0405201Japan Agency for Medical Research and Development JP20km0405208Japan Agency for Medical Research and Development JP21tm0424220Japan Agency for Medical Research and Development JP21wm0425008Japan Agency for Medical Research and Development JP21wm0525024Japan Society for the Promotion of Science JP17H04251Japan Society for the Promotion of Science JP18K15497Japan Society for the Promotion of Science JP21H02854Japan Society for the Promotion of Science JP21K07490Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Ministry of Education, Culture, Sports, Science and Technology Private University Research Branding Project
6 · The paper itself

Abstract

aimThe genetic relationship between schizophrenia (SCZ) and other nonpsychiatric disorders remains largely unknown. We examined the shared genetic components between these disorders based on multipopulation data sets.

methodsWe used two data sets for East Asian (EAS) and European (EUR) samples. SCZ data was based on the Psychiatric Genomics Consortium Asia with our own genome-wide association study for EAS and Psychiatric Genomics Consortium for EUR. Nonpsychiatric data (20 binary traits [mainly nonpsychiatric complex disorders] and 34 quantitative traits [mainly laboratory examinations and physical characteristics]) were obtained from Biobank Japan and UK Biobank for EAS and EUR samples, respectively. To evaluate genetic correlation, linkage disequilibrium score regression analysis was utilized with further meta-analysis for each result from EAS and EUR samples to obtain robust evidence. Subsequent mendelian randomization analysis was also included to examine the causal effect.

resultsA significant genetic correlation between SCZ and several metabolic syndrome (MetS) traits was detected in the combined samples (meta-analysis between EAS and EUR data) (body mass index [r

conclusionOur results indicate shared genetic components between SCZ and MetS traits and C-reactive protein. Specifically, we found it interesting that the correlation between MetS traits and SCZ was the opposite of that expected from clinical studies: this genetic study suggests that SCZ susceptibility was associated with reduced MetS. This implied that MetS in patients with SCZ was not associated with genetic components but with environmental factors, including antipsychotics, lifestyle changes, poor diet, lack of exercise, and living conditions.

Indexed as

Metabolic SyndromeSchizophreniaC-Reactive ProteinGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLinkage DisequilibriumPolymorphism, Single NucleotideC-Reactive Proteinblood pressurebody mass indexcholesterolC-reactive proteintriglycerides

Identifiers

PMID35536160
PMCPMC9546074

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.