Evidence map›Paper›PMID 20072116›Full record

ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2010

Differential association of circadian genes with mood disorders: CRY1 and NPAS2 are associated with unipolar major depression and CLOCK and VIP with bipolar disorder.

Virginia Soria, Erika Martínez-Amorós, Geòrgia Escaramís, Joaquín Valero, Rosario Pérez-Egea, Cecilia García, Alfonso Gutiérrez-Zotes, Dolors Puigdemont, Mònica Bayés, José M Crespo and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 160 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
160citing papers in PubMed, 5 pooled it
9.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

160 citing papers in PubMed, 5 syntheses or guidelines pooled it, 345 citations in OpenAlex.

  1. Pooled it
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  5. Pooled it
  6. Trial
  7. Trial
  8. Article
  9. Observational
  10. Article
  11. Is it time to think about chronotherapy in migraine.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Review
  12. Article
  13. Review
  14. Role of chronotype in depression.World journal of psychiatry · 2025
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Neuropeptidergic systems in psychiatric disorders.Frontiers in endocrinology · 2025
    Review
  20. Review

100 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 8 institutions in 1 country.

Virginia SoriaCIBERSAM (CIBER en Salud Mental), Mood Disorders Clinical and Research Unit, Psychiatry Department, Bellvitge University Hospital, Barcelona, Spain.
Erika Martínez-Amorós
Geòrgia Escaramís
Joaquín Valero
Rosario Pérez-Egea
Cecilia García
Alfonso Gutiérrez-Zotes
Dolors Puigdemont
Mònica Bayés
José M Crespo
Lourdes Martorell
Elisabet Vilella
Antonio Labad
Julio Vallejo
Víctor Pérez
José M Menchón
Xavier Estivill
Mònica Gratacòs
Mikel Urretavizcaya
Bellvitge University Hospital · ESCentro de Investigación Biomédica en Red de Salud Mental · ESInstitut Pere Mata · ESCentre for Genomic Regulation · ESCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESHospital de Sant Pau · ESPompeu Fabra University · ESUniversidad Rovira i Virgili · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disruptions in circadian rhythms have been described in mood disorders (MD), but the involvement of genetic variation in genes pertaining to the molecular circadian machinery in the susceptibility to MD has not been conclusively determined. We examined 209 single-nucleotide polymorphisms (SNPs) covering 19 circadian genes (ADCYAP1, ARNTL, ARNTL2, BHLHB2, BHLHB3, CLOCK, CRY1, CRY2, CSNK1E, DBP, NPAS2, NR1D1, PER1, PER2, PER3, RORA, TIMELESS, VIP, and VIPR2) in a sample of 534 MD patients (335 with unipolar major mood depression (MDD) and 199 with bipolar disorder (BD)) and 440 community-based screened controls. Nominally, statistically significant associations were found in 15 circadian genes. The gene-wide test, corrected for the number of SNPs analyzed in each gene, identified significant associations in CRY1 (rs2287161), NPAS2 (rs11123857), and VIPR2 (rs885861) genes with the combined MD sample. In the MDD subsample, the same SNPs in CRY1 and NPAS2 of the combined sample remained associated, whereas in the BD subsample CLOCK (rs10462028) and VIP (rs17083008) were specifically associated. The association with an SNP located 3' near CRY1 gene in MDD remained statistically significant after permutation correction at experiment level (p=0.007). Significant additive effects were found between the SNPs that were statistically significant at the gene-wide level. We also found evidence of associations between two-marker haplotypes in CRY1 and NPAS2 genes and MD. Our data support the contribution of the circadian system to the genetic susceptibility to MD and suggest that different circadian genes may have specific effects on MD polarity.

Indexed as

AdultAgedBasic Helix-Loop-Helix ProteinsBipolar DisorderChronobiology DisordersCLOCK ProteinsCryptochromesDNA Mutational AnalysisFemaleGenetic Predisposition to DiseaseGenetic TestingGenome-Wide Association StudyGenotypeHumansMajor Depressive DisorderMaleBasic Helix-Loop-Helix ProteinsCLOCK protein, humanCLOCK ProteinsCRY1 protein, humanCryptochromesNerve Tissue ProteinsNPAS2 protein, humanVasoactive Intestinal Peptide

Identifiers

PMID20072116
PMCPMC3055337
OpenAlexW2011039340

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.