Evidence map›Paper›PMID 37982563›Full record

ArticleSleep2024

Genetics of sleep medication purchases suggests causality from sleep problems to psychiatric traits.

Martin Broberg, Viola Helaakoski, Tuomo Kiiskinen, Tiina Paunio, Samuel E Jones, Nina Mars, Jacqueline M Lane, FinnGen, Richa Saxena, Hanna M Ollila

Open access · hybridAbstract read
In one paragraph

Article in Sleep, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Martin BrobergInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.ORCID 0000-0002-5419-9479
Viola HelaakoskiInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.ORCID 0000-0002-1412-0797
Tuomo KiiskinenInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Tiina PaunioGenomics and Biomarkers Unit, Finnish Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0002-5560-0666
Samuel E JonesInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.ORCID 0000-0003-0153-922X
Nina MarsInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.ORCID 0000-0002-7259-5993
Jacqueline M LaneDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-6101-2855
FinnGen
Richa SaxenaDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Hanna M OllilaInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
University of Helsinki · FIBroad Institute · USBrigham and Women's Hospital · US

Funding

Leveraging human genetics to overcome complex diagnostic challenges, evaluation of pan-ancestry polygenic scores to reduce misdiagnosis of narcolepsy and circadian rhythm sleep wake disorders.R01HG012810 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI Daniel J Gottlieb · 2023 to 2026
$2.6M
Long COVID as a putative subtype of chronic fatigue syndromeR01AI170850 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Richa Saxena · 2022 to 2026
$2.2M
AbbVieAstraZeneca UK LtdBoehringer IngelheimBristol-Myers SquibbBusiness Finland HUS 4685/31/2016GenentechGlaxoSmithKline Intellectual Property Development LtdJanssen BiotechMaze Therapeutics IncMerck Sharp & Dohme CorpNHGRI NIH HHS R01 HG012810NIAID NIH HHS R01 AI170850Novartis AGPfizerSanofi US Services Inc
6 · The paper itself

Abstract

STUDY

objectivesOver 10% of the population in Europe and in the United States use sleep medication to manage sleep problems. Our objective was to elucidate genetic risk factors and clinical correlates that contribute to sleep medication purchase and estimate the comorbid impact of sleep problems.

methodsWe performed epidemiological analysis for psychiatric diagnoses, and genetic association studies of sleep medication purchase in 797 714 individuals from FinnGen Release 7 (N = 311 892) and from the UK Biobank (N = 485 822). Post-association analyses included genetic correlation, co-localization, Mendelian randomization (MR), and polygenic risk estimation.

resultsIn a GWAS we identified 27 genetic loci significantly associated with sleep medication, located in genes associated with sleep; AUTS2, CACNA1C, MEIS1, KIRREL3, PAX8, GABRA2, psychiatric traits; CACNA1C, HIST1H2BD, NUDT12. TOPAZ1 and TSNARE1. Co-localization and expression analysis emphasized effects on the KPNA2, GABRA2, and CACNA1C expression in the brain. Sleep medications use was epidemiologically related to psychiatric traits in FinnGen (OR [95% (CI)] = 3.86 [3.78 to 3.94], p < 2 × 10-16), and the association was accentuated by genetic correlation and MR; depression (rg = 0.55 (0.027), p = 2.86 × 10-89, p MR = 4.5 × 10-5), schizophrenia (rg = 0.25 (0.026), p = 2.52 × 10-21, p MR = 2 × 10-4), and anxiety (rg = 0.44 (0.047), p = 2.88 × 10-27, p MR = 8.6 × 10-12).

conclusionsThese results demonstrate the genetics behind sleep problems and the association between sleep problems and psychiatric traits. Our results highlight the scientific basis for sleep management in treating the impact of psychiatric diseases.

Indexed as

SchizophreniaSleep Wake DisordersComorbidityGenome-Wide Association StudyHumansPhenotypeSleepgeneticsinsomniasleep hygiene

Identifiers

PMID37982563
PMCPMC10851853
OpenAlexW4388834116

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.