Evidence map›Paper›PMID 38370718›Full record

ArticlemedRxiv : the preprint server for health sciences2024

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

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

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 3 countries.

Valentina PazInstituto de Psicología Clínica, Facultad de Psicología, Universidad de la República, Montevideo, Uruguay.ORCID 0000-0002-2401-5472
Hannah WilcoxCenter for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Matthew GoodmanBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Heming WangBrigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Victoria GarfieldMRC Unit for Lifelong Health & Ageing, Institute of Cardiovascular Science, University College London, London, United Kingdom.
Richa SaxenaCenter for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Hassan S DashtiCenter for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Brigham and Women's Hospital · USBroad Institute · USHarvard University · USMRC Unit for Lifelong Health and Ageing · GB

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

Sleep is a complex behavior regulated by genetic and environmental factors, and is known to influence health outcomes. However, the effect of multidimensional sleep encompassing several sleep dimensions on diseases has yet to be fully elucidated. Using the Mass General Brigham Biobank, we aimed to examine the association of multidimensional sleep with health outcomes and investigate whether sleep behaviors modulate genetic predisposition to unfavorable sleep on mental health outcomes. First, we generated a Polygenic Sleep Health Score using previously identified single nucleotide polymorphisms for sleep health and constructed a Sleep Lifestyle Index using data from self-reported sleep questions and electronic health records; second, we performed phenome-wide association analyses between these indexes and clinical phenotypes; and third, we analyzed the interaction between the indexes on prevalent mental health outcomes. Fifteen thousand eight hundred and eighty-four participants were included in the analysis (mean age 54.4; 58.6% female). The 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

Indexed as

Clinical disordersLifestyle behaviorsMental healthMultidimensional sleepPhenome-wide association studyPolygenic scores

Identifiers

PMID38370718
PMCPMC10871384
OpenAlexW4391729544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.