Genome-wide association analysis of age at onset in schizophrenia in a European-American sample

Ke Sheng Wang, Xuefeng Liu, Qunyuan Zhang, Nagesh Aragam, Yue Pan

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


We performed a genome-wide association analysis to identify genetic variants influencing age at onset (AAO) and examine gene×gender interactions for AAO in schizophrenia (SCZ) using a European-American sample (1,162 cases). Linear regression model in PLINK was used to test for associations with AAO while the GxE option was chosen to test for the influence of gene×gender interactions. The most significant association with AAO was observed with SNP rs7819815 (P=3.10×10-7) at 8q24.22. The next best signal was at 4q25 in COL25A1 gene (rs17039583, P=4.30×10-6) and the third region was at 4p16.1 (rs17407555, P=4.56×10-6, near RAF1P1, and rs4697924, P=1.23×10-5 within WDR1 gene). Conditional analysis on chromosome 4 indicated that 4p16.1 and 4q25 loci were independent. Furthermore, 2 SNPs (rs16834822 and rs16834824) at 1q43 in RYR2 showed strong associations in the female sample (P=2.10×10-6 and 2.33×10-6, respectively) and strong gene×gender interactions in influencing AAO (P=9.23×10-7 and 1.15×10-6, respectively) while the second best region showing gene×gender interaction was at 7q22.3 (rs179863, P=2.33×10-6). Using an independent sample of 1,068 cases, we could not replicate the associations for above top SNPs; however, we found nominal significance associations for their flanking SNPs (P<0.05). These findings provide evidence of several genetic variants influencing AAO of SCZ. © 2011 Wiley-Liss, Inc.

Original languageEnglish (US)
Pages (from-to)671-680
Number of pages10
JournalAmerican Journal of Medical Genetics, Part B: Neuropsychiatric Genetics
Issue number6
StatePublished - Sep 2011
Externally publishedYes


  • Age at onset
  • Gene×gender interaction
  • Genome-wide association
  • Haplotype
  • Schizophrenia

ASJC Scopus subject areas

  • Genetics(clinical)
  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience


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