Evidence map›Paper›PMID 39168480›Full record

ArticleJournal of sleep research2025

Polygenic risk scores for mood disorders and actigraphy estimates of sleep and circadian rhythms: A preliminary study in bipolar disorders.

Vincent Hennion, Jan Scott, Victoire Martinot, Ophélia Godin, Cynthia Marie-Claire, Frank Bellivier, Stéphane Jamain, Bruno Etain

Abstract read
In one paragraph

Article in Journal of sleep research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Vincent HennionOptimisation Thérapeutique en Neuropsychopharmacologie, INSERM U1144, Université Paris Cité, Paris, France.
Jan ScottTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.
Victoire MartinotDépartement de Psychiatrie et de Médecine Addictologique, AP-HP Nord, GH Saint-Louis-Lariboisière-Fernand-Widal, DMU Neurosciences, Paris, France.
Ophélia GodinUniversité Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, Créteil, France.
Cynthia Marie-ClaireOptimisation Thérapeutique en Neuropsychopharmacologie, INSERM U1144, Université Paris Cité, Paris, France.
Frank BellivierOptimisation Thérapeutique en Neuropsychopharmacologie, INSERM U1144, Université Paris Cité, Paris, France.
Stéphane JamainUniversité Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, Créteil, France.
Bruno EtainOptimisation Thérapeutique en Neuropsychopharmacologie, INSERM U1144, Université Paris Cité, Paris, France.ORCID 0000-0002-5377-1488

Funding

Agence Nationale pour la Recherche ANR-11-IDEX-0004-02Assistance Publique des Hôpitaux de Paris GAN12Institut National de la Santé et de la Recherche Médicale
6 · The paper itself

Abstract

In bipolar disorders, abnormalities of sleep patterns and of circadian rhythms of activity are observed during mood episodes, but also persist during euthymia. Shared vulnerabilities between mood disorders and abnormalities of sleep patterns and circadian rhythms of activity have been suggested. This exploratory study investigated the association between polygenic risk scores for bipolar disorder and major depressive disorder, actigraphy estimates of sleep patterns, and circadian rhythms of activity in a sample of 62 euthymic individuals with bipolar disorder. The polygenic risk score - bipolar disorder and polygenic risk score - major depressive disorder were calculated for three stringent thresholds of significance. Data reduction was applied to aggregate actigraphy measures into dimensions using principal component analysis. A higher polygenic risk score - major depressive disorder was associated with more fragmented sleep, while a higher polygenic risk score - bipolar disorder was associated with a later peak of circadian rhythms of activity. These results remained significant after adjustment for age, sex, bipolar disorder subtype, body mass index, current depressive symptoms, current tobacco use, and medications prescribed at inclusion, but not after correction for multiple testing. In conclusion, the genetic vulnerabilities to major depression and to bipolar disorder might be associated with different abnormalities of sleep patterns and circadian rhythms of activity. The results should be replicated in larger and independent samples.

Indexed as

Bipolar DisorderCircadian RhythmMultifactorial InheritanceSleepSleep Wake DisordersActigraphyAdultFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansMajor Depressive DisorderMaleMiddle AgedRisk Factorsactigraphybipolar disordercircadian rhythmsmajor depressionpolygenic risk scoressleep

Identifiers

PMID39168480
PMCPMC11744228

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.