Evidence map›Paper›PMID 40222844›Full record

ArticleSleep health2025

Associations of a multidimensional polygenic sleep health score and a sleep lifestyle index with disease outcomes and their interaction in a clinical biobank.

Valentina Paz, Hannah Wilcox, Matthew Goodman, Heming Wang, Victoria Garfield, Richa Saxena, Hassan S Dashti

Abstract read
In one paragraph

Article in Sleep health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Valentina PazInstituto de Psicología Clínica, Facultad de Psicología, Universidad de la República, Montevideo, Uruguay; Grupo Cronobiología, Universidad de la República, Montevideo, Uruguay; MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Sciences, Faculty of Population Health Sciences, University College London, London, United Kingdom; Pharmacology and Therapeutics, Systems Molecular and Integrative Biology, Health & Life Sciences, University of Liverpool, Liverpool, United Kingdom; Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States. Electronic address: vpaz@psico.edu.uy.
Hannah WilcoxCenter for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States.
Matthew GoodmanBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States; Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States.
Heming WangBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States; Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States.
Victoria GarfieldMRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Sciences, Faculty of Population Health Sciences, University College London, London, United Kingdom; Pharmacology and Therapeutics, Systems Molecular and Integrative Biology, Health & Life Sciences, University of Liverpool, Liverpool, United Kingdom.
Richa SaxenaCenter for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States; Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, United States.
Hassan S DashtiCenter for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States; Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States; Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, United States; Division of Nutrition, Harvard Medical School, Boston, Massachusetts, United States. Electronic address: hassan.dashti@mgh.harvard.edu.

Funding

Dissecting heterogeneity of excessive daytime sleepiness and impact on cardiovascular diseasesR01HL153814 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WANG, HEMING · 2021 to 2025
$2.0M
The impact of overnight nutrition support on sleep and circadian rhythm disruption in the ICUR00HL153795 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI DASHTI, HASSAN S. · 2023 to 2025
$747k
NHLBI NIH HHS R00 HL153795NHLBI NIH HHS R01 HL153814
6 · The paper itself

Abstract

objectivesSleep is a complex behavior regulated by genetic and environmental factors impacting disease outcomes. However, the effect of multidimensional sleep encompassing several sleep dimensions on common diseases, specifically mental health disorders, has yet to be fully elucidated. Using the Mass General Brigham Biobank, we examined the association of multidimensional sleep with disease outcomes and investigated whether sleep behaviors modulate genetic predisposition to unfavorable sleep on mental health diseases.

methodsWe generated a Polygenic Sleep Health Score using previously identified single nucleotide polymorphisms and constructed a Sleep Lifestyle Index based on self-reported questions and electronic health records; tested their association; performed phenome-wide association analyses between these indexes and clinical phenotypes; and analyzed their interaction on prevalent mental health diseases. A total of 15,884 participants were included in the analysis (mean age 54.4; 58.6% female).

resultsThe Polygenic Sleep Health Score was associated with the Sleep Lifestyle Index (β=0.050, 95% CI=0.032, 0.068) and with 114 disease outcomes spanning 12 disease groups, including obesity, sleep, and substance use disease outcomes (p<3.3×10

conclusionsFavorable sleep behaviors and genetic predisposition to healthy sleep may independently protect against disease, underscoring the impact of multidimensional sleep on population health and the need for prevention strategies focused on healthy sleep habits.

Indexed as

Life StyleMental DisordersSleepAdultAgedBiological Specimen BanksFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedMultifactorial InheritancePolymorphism, Single NucleotideClinical disordersLifestyle behaviorsMental healthMultidimensional sleepPhenome-wide association studyPolygenic scores

Identifiers

PMID40222844
PMCPMC13229604

What Socratic holds

Textmetadata
LicenceCC BY
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.