Papers

Peer-reviewed
Jan, 2009

Two-stage case-control association study of polymorphisms in rheumatoid arthritis susceptibility genes with schizophrenia

JOURNAL OF HUMAN GENETICS
  • Yuichiro Watanabe
  • Ayako Nunokawa
  • Naoshi Kaneko
  • Tatsuyuki Muratake
  • Tadao Arinami
  • Hiroshi Ujike
  • Toshiya Inada
  • Nakao Iwata
  • Hiroshi Kunugi
  • Masanari Itokawa
  • Takeshi Otowa
  • Norio Ozaki
  • Toshiyuki Someya
  • Display all

Volume
54
Number
1
First page
62
Last page
65
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1038/jhg.2008.4
Publisher
NATURE PUBLISHING GROUP

There is strong evidence for a negative association between schizophrenia and rheumatoid arthritis ( RA). However, the mechanism for this association is unknown. We hypothesize that these two diseases share susceptibility genes. Recently, extensive studies have identified some RA susceptibility genes, including NFKBIL1, SLC22A4, RUNX1, FCRL3 and PADI4, in the Japanese population. To assess whether polymorphisms in these RA susceptibility genes are implicated in vulnerability to schizophrenia, we conducted a two-stage case-control association study in Japanese subjects. In a screening population of 534 patients and 559 control subjects, we examined eight polymorphisms in RA susceptibility genes and found a potential association of padi4_94 in PADI4 with schizophrenia. However, we could not replicate this association in a confirmatory population of 2126 patients and 2228 control subjects. The results of this study suggest that these polymorphisms in RA susceptibility genes do not contribute to genetic susceptibility to schizophrenia.

Link information
DOI
https://doi.org/10.1038/jhg.2008.4
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/19158815
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000265355700007&DestApp=WOS_CPL
ID information
  • DOI : 10.1038/jhg.2008.4
  • ISSN : 1434-5161
  • Pubmed ID : 19158815
  • Web of Science ID : WOS:000265355700007

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