4.7 Article

Investigating the genetic variation underlying episodicity in major depressive disorder: Suggestive evidence for a bipolar contribution

Journal

JOURNAL OF AFFECTIVE DISORDERS
Volume 155, Issue -, Pages 81-89

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jad.2013.10.027

Keywords

Bipolar spectrum; Major depression; Episode count; Family history; Genome-wide association study; Polygenic

Funding

  1. Medical Research Council, UK
  2. GlaxoSmithKline [G0701420]
  3. NIHR Biomedical Research Centre for Mental Health at the South London
  4. Maudsley NHS Foundation Trust
  5. Institute of Psychiatry, King's College London
  6. German Federal Ministry of Education and Research
  7. German National Genome Research Network (NGFN-2 and NGFN-plus)
  8. Lundbeck Foundation [R155-2014-1724] Funding Source: researchfish
  9. Medical Research Council [G9817803B, G0701420, MR/L010305/1, G0800509] Funding Source: researchfish
  10. MRC [G0800509, G0701420] Funding Source: UKRI

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Background: Highly recurrent major depressive disorder (MDD) has reportedly increased risk of shifting to bipolar disorder; high recurrence frequency has, therefore, featured as evidence of 'soft bipolarity'. We aimed to investigate the genetic underpinnings of total depressive episode count in recurrent MDD. Methods: Our primary sample included 1966 MDD cases with negative family history of bipolar disorder from the RADIANT studies. Total episode count was adjusted for gender, age, MDD duration, study and center before being tested for association with genotype in two separate genome-vvicle analyses (GWAS), in the full set and in a subset of 1364 cases with positive family history of MDD (FH+). We also calculated polygenic scores from the Psychiatric Genomics Consortium MDD and bipolar disorder studies. Results: Episodicity (especially intermediate episode counts) was an independent index of MDD familial aggregation, replicating previous reports. The GWAS produced no genome-wide significant findings. The strongest signals were detected in the full set at MAGI1 (p= 5.1 x 10(-7)), previously associated with bipolar disorder, and in the FH+ subset at STIM1 (p=3.9 x 10(-6) after imputation), a calcium channel signaling gene. However, these findings Wed to replicate in an independent Munich cohort. In the full set polygenic profile analyses, MDD polygenes predicted episoclicity better than bipolar polygenes; however, in the FE vertical bar subset, both polygenic scores performed similarly. Limitations: Episode count was self-reported and, therefore, subject to recall bias. Conclusions: Our findings lend preliminary support to the hypothesis that highly recurrent MOD with I is part of a 'soft bipolar spectrum' but await replication in larger cohorts. (C) 2013 Elsevier B.V. All rights reserved.

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