Evidence map›Paper›PMID 28364478›Full record

ArticleSleep2017

Common Genetic Variation Near Melatonin Receptor 1A Gene Linked to Job-Related Exhaustion in Shift Workers.

Sonja Sulkava, Hanna M Ollila, Jukka Alasaari, Sampsa Puttonen, Mikko Härmä, Katriina Viitasalo, Alexandra Lahtinen, Jaana Lindström, Auli Toivola, Raimo Sulkava and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Sleep, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Melatonin: A Potential Regulator of DNA Methylation.Antioxidants (Basel, Switzerland) · 2023
    Review
  4. Recovery from shift work.Frontiers in neurology · 2023
    Review
  5. Review
  6. Article
  7. Review
  8. Observational
  9. Pharmacological Actions of Carbamate Insecticides at Mammalian Melatonin Receptors.The Journal of pharmacology and experimental therapeutics · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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

16 authors at 9 institutions in 3 countries.

Sonja SulkavaDepartment of Health, Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland.
Hanna M OllilaDepartment of Health, Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland.
Jukka AlasaariDepartment of Health, Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland.
Sampsa PuttonenModern Work and Leadership, Finnish Institute of Occupational Health, Helsinki, Finland.
Mikko HärmäModern Work and Leadership, Finnish Institute of Occupational Health, Helsinki, Finland.
Katriina ViitasaloFinnair Health Services, Vantaa, Finland.
Alexandra LahtinenDepartment of Health, Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland.
Jaana LindströmDepartment of Health, Chronic Disease Prevention Unit, National Institute for Health and Welfare, Helsinki, Finland.
Auli ToivolaDepartment of Health, Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland.
Raimo SulkavaUnit of Geriatrics, University of Eastern Finland, Kuopio, Finland.
Mika KivimäkiModern Work and Leadership, Finnish Institute of Occupational Health, Helsinki, Finland.
Jussi VahteraDepartment of Public Health, University of Turku and Turku University Hospital, Turku, Finland.
Timo PartonenDepartment of Health, Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland.
Kaisa SilanderDepartment of Health, Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland.
Tarja Porkka-HeiskanenInstitute of Biomedicine, University of Helsinki, Helsinki, Finland.
Tiina PaunioDepartment of Health, Genomics and Biomarkers Unit, National Institute for Health and Welfare, Helsinki, Finland.
Finnish Institute for Health and Welfare · FIUniversity of Helsinki · FIFinnish Institute of Occupational Health · FIFinnair (Finland) · FIHelsinki University Hospital · FIStanford University · USUniversity College London · GBUniversity of Eastern Finland · FIUniversity of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study Objectives: Tolerance to shift work varies; only some shift workers suffer from disturbed sleep, fatigue, and job-related exhaustion. Our aim was to explore molecular genetic risk factors for intolerance to shift work. Methods: We assessed intolerance to shift work with job-related exhaustion symptoms in shift workers using the emotional exhaustion subscale of the Maslach Burnout Inventory-General Survey, and carried out a genome-wide association study (GWAS) using Illumina's Human610-Quad BeadChip (n = 176). The most significant findings were further studied in three groups of Finnish shift workers (n = 577). We assessed methylation in blood cells with the Illumina HumanMethylation450K BeadChip, and examined gene expression levels in the publicly available eGWAS Mayo data. Results: The second strongest signal identified in the GWAS (p = 2.3 × 10E-6) was replicated in two of the replication studies with p < .05 (p = 2.0 × 10E-4 when combining the replication studies) and indicated an association of job-related exhaustion in shift workers with rs12506228, located downstream of the melatonin receptor 1A gene (MTNR1A). The risk allele was also associated with reduced in silico gene expression levels of MTNR1A in brain tissue and suggestively associated with changes in DNA methylation in the 5' regulatory region of MTNR1A. Conclusions: These findings suggest that a variant near MTNR1A may be associated with job-related exhaustion in shift workers. The risk variant may exert its effect via epigenetic mechanisms, potentially leading to reduced melatonin signaling in the brain. These results could indicate a link between melatonin signaling, a key circadian regulatory mechanism, and tolerance to shift work.

Indexed as

Genetic VariationWork Schedule ToleranceAdultAllelesBrainCircadian RhythmComputer SimulationDNA MethylationFatigueFemaleFinlandGene ExpressionGenome-Wide Association StudyHumansMaleMelatoninMelatoninMTNR1A protein, humanReceptor, Melatonin, MT1DNA methylation.genome-wide association studyjob-related exhaustionMTNR1Ashift work

Identifiers

PMID28364478
PMCPMC5806557
OpenAlexW2538038898

What OpenQuestion holds

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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.