Lack of association of EGR2 variants with bipolar disorder in Japanese population

Shabeesh Balan, Kazuo Yamada, Yoshimi Iwayama, Tomoko Toyota, Tetsuo Ohnishi, Motoko Maekawa, Manabu Toyoshima, Yasuhide Iwata, Katsuaki Suzuki, Mitsuru Kikuchi, Hiroshi Ujike, Toshiya Inada, Hiroshi Kunugi, Norio Ozaki, Nakao Iwata, Shinichiro Nanko, Tadafumi Kato, Takeo Yoshikawa

Research output: Contribution to journalArticle

Abstract

The early growth response gene 2 (EGR2) has been recently reported to be associated with bipolar disorder in the Korean population. However replication studies in independent cohorts of same and different ethnicities are essential for establishing the credibility of a genotype-phenotype association. With this notion, in the present study we have performed a replication study of the reported association of SNPs in EGR2 in a case-control study comprising of 867 unrelated Japanese bipolar disorder patients and 895 age-, sex- and ethnicity-matched controls. Results showed no significant differences in allele and genotype frequencies of EGR2 SNPs between bipolar disorder patients and controls and also in a sex-stratified genetic analysis. The haplotype and meta-analyses also showed no significant association with bipolar disorder. In conclusion, this is the first replication study of the previously reported association of EGR2 with bipolar disorder in a larger sample set and the results showed that the EGR2 gene is unlikely to contribute to the susceptibility of bipolar disorder in a Japanese cohort.

Original languageEnglish
Pages (from-to)246-250
Number of pages5
JournalGene
Volume526
Issue number2
DOIs
Publication statusPublished - 10-09-2013

All Science Journal Classification (ASJC) codes

  • Genetics

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    Balan, S., Yamada, K., Iwayama, Y., Toyota, T., Ohnishi, T., Maekawa, M., Toyoshima, M., Iwata, Y., Suzuki, K., Kikuchi, M., Ujike, H., Inada, T., Kunugi, H., Ozaki, N., Iwata, N., Nanko, S., Kato, T., & Yoshikawa, T. (2013). Lack of association of EGR2 variants with bipolar disorder in Japanese population. Gene, 526(2), 246-250. https://doi.org/10.1016/j.gene.2013.05.055