Evidence map›Paper›PMID 31461559›Full record

ArticlePsychiatry and clinical neurosciences2020

Polygenic risk scores in schizophrenia with clinically significant copy number variants.

Satoru Taniguchi, Kohei Ninomiya, Itaru Kushima, Takeo Saito, Ayu Shimasaki, Takaya Sakusabe, Yukihide Momozawa, Michiaki Kubo, Yoichiro Kamatani, Norio Ozaki and 2 more

Abstract read
In one paragraph

Article in Psychiatry and clinical neurosciences, 2020. 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
–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

9 citing papers in PubMed.

  1. Article
  2. Genome-wide association testing beyond SNPs.Nature reviews. Genetics · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. 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

12 authors.

Satoru TaniguchiDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.
Kohei NinomiyaDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.
Itaru KushimaDepartment of Psychiatry, Nagoya University, Graduate School of Medicine, Nagoya, Japan.
Takeo SaitoDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.
Ayu ShimasakiDepartment of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan.
Takaya SakusabeMedical Engineering, Fujita Health University, School of Medical Sciences, Toyoake, Japan.
Yukihide MomozawaLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Michiaki KuboRIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Yoichiro KamataniLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Norio OzakiDepartment of Psychiatry, Nagoya University, Graduate School of Medicine, Nagoya, 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

Japan Agency for Medical Research and Development JP19dk0307081Japan Agency for Medical Research and Development JP19dm0107087Japan Agency for Medical Research and Development JP19dm0107097Japan Agency for Medical Research and Development JP19dm0207005Japan Agency for Medical Research and Development JP19km0405201Japan Agency for Medical Research and Development JP19km0405208Japan Society for the Promotion of Science JP16H05378Japan Society for the Promotion of Science JP16K19785Japan Society for the Promotion of Science JP17H04251Japan Society for the Promotion of Science JP25293253Japan Society for the Promotion of Science JP26293266Ministry of Education, Culture, Sports, Science and Technology BioBank Japan ProjectMinistry of Education, Culture, Sports, Science and Technology Private University Research Branding ProjectSENSHIN Medical Research Foundation
6 · The paper itself

Abstract

aimsRecent studies have revealed that the interplay between polygenic risk scores (PRS) and large copy number variants (CNV; >500kb) is essential for the etiology of schizophrenia (SCZ). To replicate previous findings, including those for smaller CNV (>10kb), the PRS between SCZ patients with and without CNV were compared.

methodsThe PRS were calculated for 724 patients with SCZ and 1178 healthy controls (HC), genotyped using array-based comparative genomic hybridization and single nucleotide polymorphisms chips, and comparisons were made between cases and HC, or between subjects with and without 'clinically significant' CNV.

resultsFirst, we replicated the higher PRS in patients with SCZ compared to that in HC (without taking into account the CNV). For clinically significant CNV, as defined by the American College of Medical Genetics ('pathogenic' and 'uncertain clinical significance, likely pathogenic' CNV), 66 patients with SCZ carried clinically significant CNV, whereas 658 SCZ patients had no such CNV. In the comparison of PRS between cases with/without the CNV, despite no significant difference in PRS, significant enrichment of the well-established risk CNV (22q11.2 deletion and 47,XXY/47,XXX) was observed in the lowest decile of PRS in SCZ patients with the CNV.

conclusionAlthough the present study failed to replicate the significant difference in PRS between SCZ patients with and without clinically significant CNV, SCZ patients with well-established risk CNV tended to have a lower PRS. Therefore, we speculate that the CNV in SCZ patients with lower PRS may contain 'genuine' risk; PRS is a possible tool for prioritizing clinically significant CNV because the power of the CNV association analysis is limited due to their rarity.

Indexed as

AdultDNA Copy Number VariationsGenetic Predisposition to DiseaseHumansMultifactorial InheritancePolymorphism, Single NucleotideRiskSchizophreniagenome-wide association studyKlinefelter syndromepolygenic risk scoretriple X syndromevelocardiofacial syndrome

Identifiers

PMID31461559
PMCPMC6973280

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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.