Evidence map›Paper›PMID 33738471›Full record

ArticleThe international journal of neuropsychopharmacology2021

Polygenic Risk Scores Differentiating Schizophrenia From Bipolar Disorder Are Associated With Premorbid Intelligence in Schizophrenia Patients and Healthy Subjects.

Kazutaka Ohi, Daisuke Nishizawa, Shunsuke Sugiyama, Kentaro Takai, Ayumi Kuramitsu, Junko Hasegawa, Midori Soda, Kiyoyuki Kitaichi, Ryota Hashimoto, Kazutaka Ikeda and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in The international journal of neuropsychopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 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

11 authors at 4 institutions in 1 country.

Kazutaka OhiDepartment of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan.
Daisuke NishizawaAddictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Shunsuke SugiyamaDepartment of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan.
Kentaro TakaiDepartment of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan.
Ayumi KuramitsuDepartment of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan.
Junko HasegawaAddictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Midori SodaDepartment of Biomedical Pharmaceutics, Gifu Pharmaceutical University, Gifu, Japan.
Kiyoyuki KitaichiDepartment of Biomedical Pharmaceutics, Gifu Pharmaceutical University, Gifu, Japan.
Ryota HashimotoDepartment of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan.
Kazutaka IkedaAddictive Substance Project, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Toshiki ShioiriDepartment of Psychiatry and Psychotherapy, Gifu University Graduate School of Medicine, Gifu, Japan.
Gifu University · JPTokyo Metropolitan Institute of Medical Science · JPGifu Pharmaceutical University · JPNational Institute of Mental Health · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImpairments in intelligence are more severe in patients with schizophrenia (SCZ) than in patients with bipolar disorder (BD) despite clinical and genetic similarities between the disorders. Genetic loci differentiating SCZ from BD, that is, SCZ-specific risk, have been identified. Polygenetic [risk] scores (PGSs) for SCZ-specific risk are higher in SCZ patients than in healthy controls (HCs). However, the influence of genetic risk on impaired intelligence is poorly understood. Here, we investigated whether SCZ-specific risk could predict impairments in intelligence in SCZ patients and HCs.

methodsLarge-scale genome-wide association study datasets related to SCZ vs BD, childhood intelligence (CHI), and adulthood intelligence (n = 12 441-282 014) were utilized to compute PGSs. PGSs derived from the genome-wide association studies were calculated for 130 patients with SCZ and 146 HCs. Premorbid and current intelligence and the decline were measured in SCZ patients and HCs. Correlations between PGSs and intelligence functions were investigated.

resultsHigh PGSs for SCZ-specific risk were correlated with low premorbid intelligence in SCZ patients and HCs (β = -0.17, P = 4.12 × 10-3). The correlation was still significant after adjusting for diagnostic status (β = -0.13, P = .024). There were no significant correlations between PGSs for SCZ-specific risk and current intelligence or intelligence decline (P > .05). PGSs for CHI were lower in SCZ patients than in HCs (R2 = 0.025, P = .025), while the PGSs for CHI were not significantly correlated with premorbid and current intelligence, the decline, or the PGSs for SCZ-specific risk (P > .05).

conclusionsThese findings suggest that genetic factors differentiating SCZ from BD might affect the pathogenesis of SCZ and/or pathological differences between SCZ and BD via the impairment of premorbid intelligence, that is, crystallized intelligence, while genetic factors for CHI might affect the pathogenesis of SCZ but not via impairments in intelligence.

Indexed as

Bipolar DisorderCognitive DysfunctionGenetic Predisposition to DiseaseSchizophreniaAdultFemaleGenome-Wide Association StudyHumansIntelligenceMaleMiddle AgedMultifactorial InheritanceYoung AdultBipolar disorderchildhood intelligencepolygenic risk scorepremorbid IQschizophrenia

Identifiers

PMID33738471
PMCPMC8299820
OpenAlexW3139189999

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.