Evidence map›Paper›PMID 25026172›Full record

ArticleInternational journal of molecular sciences2014

Joint identification of genetic variants for physical activity in Korean population.

Jayoun Kim, Jaehee Kim, Haesook Min, Sohee Oh, Yeonjung Kim, Andy H Lee, Taesung Park

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Genetic Background of Acute Heart Rate Response to Exercise.International journal of molecular sciences · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Observational
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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

7 authors at 4 institutions in 2 countries.

Jayoun KimBiomedical Research Institute, Seoul National University Bundang Hospital, Seongnam-si 463707, Korea. nunadli@gmail.com.
Jaehee KimInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151742, Korea. wisewidewarm@gmail.com.
Haesook MinDivision of Epidemiology and Health Index, Center for Genome Science, Korea Centers for Disease Control & Prevention, Cheongwon-gun 363951, Korea. agnesmin@korea.kr.
Sohee OhDepartment of Biostatistics, SMG-SNU Boramae Medical Center, Seoul 156707, Korea. oh.sohee@gmail.com.
Yeonjung KimDivision of Epidemiology and Health Index, Center for Genome Science, Korea Centers for Disease Control & Prevention, Cheongwon-gun 363951, Korea. kimye@korea.kr.
Andy H LeeSchool of Public Health, Curtin University, Perth 6845, Australia. Andy.Lee@curtin.edu.au.
Taesung ParkInterdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151742, Korea. tspark@stats.snu.ac.kr.
Seoul National University · KRKorea Disease Control and Prevention Agency · KRCurtin University · AUSNUH SMG-SNU Boramae Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been limited research on genome-wide association with physical activity (PA). This study ascertained genetic associations between PA and 344,893 single nucleotide polymorphism (SNP) markers in 8842 Korean samples. PA data were obtained from a validated questionnaire that included information on PA intensity and duration. Metabolic equivalent of tasks were calculated to estimate the total daily PA level for each individual. In addition to single- and multiple-SNP association tests, a pathway enrichment analysis was performed to identify the biological significance of SNP markers. Although no significant SNP was found at genome-wide significance level via single-SNP association tests, 59 genetic variants mapped to 76 genes were identified via a multiple SNP approach using a bootstrap selection stability measure. Pathway analysis for these 59 variants showed that maturity onset diabetes of the young (MODY) was enriched. Joint identification of SNPs could enable the identification of multiple SNPs with good predictive power for PA and a pathway enriched for PA.

Indexed as

Polymorphism, Single NucleotideAdultDiabetes Mellitus, Type 2FemaleGenome-Wide Association StudyHumansMaleMiddle AgedMotor Activity

Identifiers

PMID25026172
PMCPMC4139850
OpenAlexW2012610252

What OpenQuestion 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 OpenQuestion graph.