Evidence map›Paper›PMID 30102679›Full record

ArticleMedicine and science in sports and exercise2018

Genomewide Association Study of Leisure-Time Exercise Behavior in Japanese Adults.

Megumi Hara, Tsuyoshi Hachiya, Yoichi Sutoh, Keitaro Matsuo, Yuichiro Nishida, Chisato Shimanoe, Keitaro Tanaka, Atsushi Shimizu, Keizo Ohnaka, Takahisa Kawaguchi and 29 more

Open access · hybridAbstract read
In one paragraph

Article in Medicine and science in sports and exercise, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
5.7field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Genetic variants related to physical activity or sedentary behaviour: a systematic review.The international journal of behavioral nutrition and physical activity · 2021
    Pooled it
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  7. Genetic Background of Acute Heart Rate Response to Exercise.International journal of molecular sciences · 2024
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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

39 authors at 20 institutions in 3 countries.

Megumi HaraDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, JAPAN.
Tsuyoshi HachiyaDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, JAPAN.
Yoichi SutohDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, JAPAN.
Keitaro MatsuoDivision of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, JAPAN.
Yuichiro NishidaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, JAPAN.
Chisato ShimanoeDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, JAPAN.
Keitaro TanakaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, JAPAN.
Atsushi ShimizuDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Iwate, JAPAN.
Keizo OhnakaDepartment of Geriatric Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, JAPAN.
Takahisa KawaguchiCenter for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, JAPAN.
Isao OzeDivision of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, JAPAN.
Fumihiko MatsudaCenter for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, JAPAN.
Hidemi ItoDivision of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, JAPAN.
Sayo KawaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, JAPAN.
Asahi HishidaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, JAPAN.
Rieko OkadaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, JAPAN.
Tae SasakabeDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, JAPAN.
Akie HirataDivision of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, JAPAN.
Rie IbusukiDepartment of International Island and Community Medicine Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, JAPAN.
Yora NinditaDepartment of International Island and Community Medicine Kagoshima University, Graduate School of Medical and Dental Sciences, Kagoshima, JAPAN.
Norihiro FurusyoDepartment of General Internal Medicine, Kyushu University Hospital, Fukuoka, JAPAN.
Hiroaki IkezakiDepartment of General Internal Medicine, Kyushu University Hospital, Fukuoka, JAPAN.
Nagato KuriyamaDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, JAPAN.
Etsuko OzakiDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto, JAPAN.
Haruo MikamiCancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, JAPAN.
Yohko NakamuraCancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, JAPAN.
Sadao SuzukiDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, JAPAN.
Akihiro HosonoDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, JAPAN.
Sakurako Katsuura-KamanoDepartment of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, Tsukuba, JAPAN.
Kokichi ArisawaDepartment of Preventive Medicine, Institute of Biomedical Sciences, Tokushima University Graduate School, Tsukuba, JAPAN.
Kiyonori KurikiLaboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, JAPAN.
Kaori EndohLaboratory of Public Health, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, JAPAN.
Naoyuki TakashimaDepartment of Public Health, Shiga University of Medical Science, Shiga, JAPAN.
Aya KadotaDepartment of Public Health, Shiga University of Medical Science, Shiga, JAPAN.
Masahiro NakatochiStatistical Analysis Section, Center for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, JAPAN.
Yukihide MomozawaLaboratory for Genotyping Development, Riken Center for Integrative Medical Sciences, Yokohama, JAPAN.
Michiaki KuboRIKEN Center for Integrative Medical Sciences, Yokohama, JAPAN.
Mariko NaitoDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, JAPAN.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, JAPAN.
Nagoya University · JPSaga University · JPAichi Cancer Center · JPAichi Medical University · JPChiba Cancer Center · JPInstitute of Biomedical Science · GBKyoto Prefectural University of Medicine · JPKyoto University · JPKyushu University Hospital · JPNagoya City University · JPRIKEN Center for Integrative Medical Sciences · JPShiga University of Medical Science · JPTohoku Medical Megabank Organization · JPUniversity of Shizuoka · JPDiponegoro University · IDHiroshima University · JPIwate Medical University · JPKagoshima University · JPKyushu University · JPNagoya University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough several genetic factors may play a role in leisure-time exercise behavior, there is currently no evidence of a significant genomewide association, and candidate gene replication studies have produced inconsistent results.

methodsWe conducted a two-stage genomewide association study and candidate single-nucleotide polymorphisms (SNP) association study on leisure-time exercise behavior using 13,980 discovery samples from the Japan Multi-Institutional Collaborative Cohort (J-MICC) study, and 2036 replication samples from the Hospital-based Epidemiologic Research Program at Aichi Cancer Center-2 study. Leisure-time physical activity was measured using a self-administered questionnaire that inquired about the type, frequency and duration of exercise. Participants with ≥4 MET·h·wk of leisure-time physical activity were defined as exhibiting leisure-time exercise behavior. Association testing using mixed linear regression models was performed on the discovery and replication samples, after which the results were combined in a meta-analysis. In addition, we tested six candidate genetic variants derived from previous genomewide association study.

resultsWe found that one novel SNP (rs10252228) located in the intergenic region between NPSR1 and DPY19L1 was significantly associated with leisure-time exercise behavior in discovery samples. This association was also significant in replication samples (combined P value by meta-analysis = 2.2 × 10). Several SNP linked with rs10252228 were significantly associated with gene expression of DPY19L1 and DP19L2P1 in skeletal muscle, heart, whole blood, and the nervous system. Among the candidate SNP, rs12612420 in DNAPTP6 demonstrated nominal significance in discovery samples but not in replication samples.

conclusionsWe identified a novel genetic variant associated with regular leisure-time exercise behavior. Further functional studies are required to validate the role of these variants in exercise behavior.

Indexed as

ExerciseGenome-Wide Association StudyPolymorphism, Single NucleotideAdultAgedCohort StudiesDNA, IntergenicFemaleHealth BehaviorHumansJapanLeisure ActivitiesMaleMiddle AgedSurveys and QuestionnairesDNA, Intergenic

Identifiers

PMID30102679
PMCPMC6282671
OpenAlexW2885755211

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LicenceCC BY-NC-ND
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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.