The PCLO gene and depressive disorders: replication in a population-based study

Karin Hek, Niels Mulder, Dika Luijendijk, Cornelia Duijn, Bert Hofman, André Uitterlinden, Henning Tiemeier

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43 Citations (Scopus)

Abstract

Previous genome-wide association analysis revealed a new putative candidate gene for major depression: the PCLO gene. Replication in one population-based cohort did not yield genome-wide significance and further replication efforts in clinical studies were unsuccessful. We aimed to validate the association of single-nucleotide polymorphism (SNP) rs2522833 in the PCLO gene with depression in the Rotterdam Study, a prospective population-based cohort of elderly persons. In the Rotterdam Study, we identified 579 persons with a broad depression phenotype (depressive syndromes) of whom 178 cases with DSM-defined depressive disorder. The control group consisted of 912 persons free of depression during the follow-up period and in their histories. Logistic regression analysis showed an association between rs2522833 and depressive disorders (P = 0.0025). However, no association between the broader depressive syndrome group and this SNP was observed (P = 0.20). A meta-analysis combining all studies from the original publication and our study yielded a P-value of 2.16 x 10(-3) for the association between SNP rs2522833 and depressive disorders. However, as in the previous publication, high heterogeneity between studies was observed. Thus, a meta-analysis with the findings from three population-based studies was performed. This demonstrated a genome-wide significant P-value (P = 1.93 x 10(-9)). In conclusion, this study provides additional evidence for an association between PCLO and depressive disorders in a population-based study; no association with a broader syndromal phenotype was observed.
Original languageUndefined/Unknown
Pages (from-to)731-734
Number of pages4
JournalHuman Molecular Genetics
Volume19
Issue number4
DOIs
Publication statusPublished - 2010

Research programs

  • EMC MM-01-39-02
  • EMC NIHES-01-64-01
  • EMC NIHES-01-64-02
  • EMC NIHES-04-55-01
  • EMC OR-01-58-01

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