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, Masashi Ikeda, Nakao Iwata

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


Aims: Recent 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. Methods: The 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. Results: First, 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. Conclusion: Although 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.

Original languageEnglish
Pages (from-to)35-39
Number of pages5
JournalPsychiatry and clinical neurosciences
Issue number1
Publication statusPublished - 01-01-2020

All Science Journal Classification (ASJC) codes

  • General Neuroscience
  • Neurology
  • Clinical Neurology
  • Psychiatry and Mental health


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