Hot Genes in Schizophrenia: How Clinical Datasets Could Help to Refine their Role

Stefano Porcelli, Soo Jung Lee, Changsu Han, Ashwin A. Patkar, Diego Albani, Tae Youn Jun, Chi Un Pae, Alessandro Serretti

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

We investigated the effect of a set of SNPs within 5 genes identified by GWASs as possible risk genes for schizophrenia (SCZ) in two independent samples, comprising 176 SCZ patients and 326 controls of Korean origin and 83 SCZ patients and 194 controls of Italian origin. The PANSS was used to assess psychopathology severity and antipsychotic response (AR). Several clinical features were assessed at recruitment. In the Korean sample, the SP4 gene haplotype rs2282888-rs2237304-rs10272006-rs12673091 (p = 0.02) was associated with SCZ. In the Italian sample, PPP3CC rs11780915 (genotypic: p = 0.006; allelic: p = 0.001) and rs2249098 (genotypic: p = 0.0004; allelic: p = 0.00006) were associated with SCZ, as well as the PPP3CC rs11780915-rs10108011-rs2249098 and the ZNF804A rs7603001-rs1344706 haplotypes (p = 0.03 and p = 0.02). Several RORA variants were associated with AR in both the samples, although only the haplotype rs1020729-rs1871858 in the Korean sample survived to the statistical correction (p = 0.01). Exploratory analyses suggested that: (1) PPP3CC, ST8SIA2, and SP4 genes may modulate psychotic symptoms, and (2) RORA and ZNF804A genes may influence AR. Our results partially support a role for these genes in SCZ and AR. Analyses in well phenotyped samples may help to refine the role of the genes identified by GWASs.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalJournal of Molecular Neuroscience
DOIs
Publication statusAccepted/In press - 2017 Dec 19

Fingerprint

Schizophrenia
Antipsychotic Agents
Genes
Haplotypes
Datasets
Psychopathology
Single Nucleotide Polymorphism

Keywords

  • Genetic
  • Pharmacogenetics
  • PPP3CC
  • RORA
  • Schizophrenia
  • SP4
  • ST8SIA2
  • ZNF804A

ASJC Scopus subject areas

  • Cellular and Molecular Neuroscience

Cite this

Porcelli, S., Lee, S. J., Han, C., Patkar, A. A., Albani, D., Jun, T. Y., ... Serretti, A. (Accepted/In press). Hot Genes in Schizophrenia: How Clinical Datasets Could Help to Refine their Role. Journal of Molecular Neuroscience, 1-14. https://doi.org/10.1007/s12031-017-1016-8

Hot Genes in Schizophrenia : How Clinical Datasets Could Help to Refine their Role. / Porcelli, Stefano; Lee, Soo Jung; Han, Changsu; Patkar, Ashwin A.; Albani, Diego; Jun, Tae Youn; Pae, Chi Un; Serretti, Alessandro.

In: Journal of Molecular Neuroscience, 19.12.2017, p. 1-14.

Research output: Contribution to journalArticle

Porcelli, Stefano ; Lee, Soo Jung ; Han, Changsu ; Patkar, Ashwin A. ; Albani, Diego ; Jun, Tae Youn ; Pae, Chi Un ; Serretti, Alessandro. / Hot Genes in Schizophrenia : How Clinical Datasets Could Help to Refine their Role. In: Journal of Molecular Neuroscience. 2017 ; pp. 1-14.
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