Evidence map›Paper›PMID 40618946›Full record

ReviewBiological psychiatry2025

The Interplay Between Sleep and Mental Health: A Genetic Perspective.

Nataliia Kozhemiako, Carol Mita, Georgia M Panagiotaropoulou, Katie J S Lewis, Tamar Sofer, Shaun M Purcell

Abstract readReview
In one paragraph

Review in Biological psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Nataliia KozhemiakoBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Carol MitaCountway Library, Harvard Medical School, Boston, Massachusetts.
Georgia M PanagiotaropoulouDepartment of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany; Stanley Center for Psychiatric Research, Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts; Massachusetts General Hospital, Boston, Massachusetts.
Katie J S LewisCentre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom; Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, United Kingdom.
Tamar SoferCardiovascular Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Division of Sleep Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Shaun M PurcellBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts. Electronic address: smpurcell@bwh.harvard.edu.

Funding

Leveraging National Sleep Research Resource Data for Personalized Sleep ProfilingR01HL146339 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI PURCELL, SHAUN M · 2019 to 2021
$1.3M
Enhanced Measurement and Modeling of Sleep Electrophysiology to Better Understand Sleep DisparitiesR21MD012738 · NIMHD · BRIGHAM AND WOMEN'S HOSPITAL · PI PURCELL, SHAUN M · 2019 to 2020
$499k
Sleep Physiology Dynamics: Quantification, Characterization and Genetic DissectionR21HL145492 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI PURCELL, SHAUN M · 2019 to 2020
$269k
Genome-wide association study of sleep spindles and related polysomnography measuresR03MH108908 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI PURCELL, SHAUN M · 2016 to 2017
$192k
NHLBI NIH HHS R01 HL146339NHLBI NIH HHS R21 HL145492NIMHD NIH HHS R21 MD012738NIMH NIH HHS R03 MH108908Wellcome Trust
6 · The paper itself

Abstract

Although many facets of sleep, including subjective, behavioral, and neurophysiological features, are closely linked with psychiatric disorders, the natures of these relationships are generally unclear. A given alteration in sleep could reflect a cause (that may mediate genetic risk), consequence, symptom, trigger, epiphenomenon due to shared determinants, or some combination of these. In principle, genetic approaches can be informative: 1) by identifying specific genetic influences on disease mediated by or shared with sleep, which could help the search for biological mechanisms and therapeutic targets, and 2) by providing evidence for causality, which could suggest interventions for modifiable sleep traits. Here, we summarize recent human quantitative and molecular genetic studies on sleep and psychiatric disease, including twin and genome-wide association studies. Despite evidence for shared heritability across many domains, notably depression and insomnia, the field is in its early stages and faces significant challenges including the following: 1) putative causal effects are small, phenotypically nonspecific, not resolved to specific gene pathways, and often bidirectional; 2) most current discovery cohorts are demographically biased and do not capture profound age-related changes in sleep and its genetic architecture; 3) group-level analyses ignore patient-to-patient heterogeneity, including the presence or absence of specific sleep alterations; and 4) a paucity of objective, brain-based data in genetically informative samples hampers making connections with sleep neurophysiology. Nonetheless, as ever-growing genetic tools and resources still hold great potential for translational bridges between basic model systems, human epidemiology, and personalized clinical care, genetic approaches will still likely be needed to reveal sleep's roles in maintaining mental health.

Indexed as

Mental DisordersMental HealthSleepSleep Wake DisordersGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansGeneticsMental HealthPsychiatric disordersSleep

Identifiers

PMID40618946
PMCPMC7619434

What Socratic 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 Socratic graph.