Evidence map›Paper›PMID 36497168›Full record

ArticleCells2022

Genome-Wide Association Study Identifies

Ekaterina A Semenova, Hirofumi Zempo, Eri Miyamoto-Mikami, Hiroshi Kumagai, Andrey K Larin, Rinat I Sultanov, Konstantin A Babalyan, Andrey V Zhelankin, Takuro Tobina, Keisuke Shiose and 9 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Genes · 2023
    Pooled it
  3. TheNutrients · 2023
    Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. From Genes to Disease: ReassessingInternational journal of molecular sciences · 2025
    Article
  12. Article
  13. Testing in Football: A Narrative Review.Sports (Basel, Switzerland) · 2024
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
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

19 authors at 13 institutions in 4 countries.

Ekaterina A SemenovaDepartment of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia.
Hirofumi ZempoFaculty of Health and Nutrition, Tokyo Seiei College, Tokyo 124-0025, Japan.ORCID 0000-0003-2248-8580
Eri Miyamoto-MikamiGraduate School of Health and Sports Science, Juntendo University, Chiba 270-1695, Japan.
Hiroshi KumagaiGraduate School of Health and Sports Science, Juntendo University, Chiba 270-1695, Japan.
Andrey K LarinDepartment of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia.
Rinat I SultanovDepartment of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia.
Konstantin A BabalyanDepartment of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia.
Andrey V ZhelankinDepartment of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia.ORCID 0000-0002-3014-2005
Takuro TobinaFaculty of Nursing and Nutrition, University of Nagasaki, Nagasaki 851-2195, Japan.
Keisuke ShioseFaculty of Education, University of Miyazaki, Miyazaki 889-2192, Japan.ORCID 0000-0003-1089-9593
Ryo KakigiFaculty of Management & Information Science, Josai International University, Chiba 283-8555, Japan.
Takamasa TsuzukiFaculty of Pharmacy, Meijo University, Nagoya 468-8503, Japan.
Noriko Ichinoseki-SekineGraduate School of Health and Sports Science, Juntendo University, Chiba 270-1695, Japan.
Hiroyuki KobayashiDepartment of General Medicine, Mito Medical Center, Tsukuba University Hospital, Ibaraki 310-0015, Japan.
Hisashi NaitoGraduate School of Health and Sports Science, Juntendo University, Chiba 270-1695, Japan.ORCID 0000-0002-0522-9512
Jatin BurnistonResearch Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 5AF, UK.ORCID 0000-0001-7303-9318
Edward V GenerozovDepartment of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia.ORCID 0000-0002-6314-4883
Noriyuki FukuGraduate School of Health and Sports Science, Juntendo University, Chiba 270-1695, Japan.ORCID 0000-0001-7792-5835
Ildus I AhmetovDepartment of Molecular Biology and Genetics, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, 119435 Moscow, Russia.ORCID 0000-0002-6335-4020
Federal Medical-Biological Agency · RUJuntendo University · JPJosai International University · JPLiverpool John Moores University · GBMeijo University · JPNational Hospital Organization Mito Medical Center · JPPlekhanov Russian University of Economics · RUThe Open University of Japan · JPTokyo Seiei College · JPUniversity of Miyazaki · JPUniversity of Nagasaki · JPUniversity of Southern California · USVolga Region State Academy of Physical Culture, Sports and Tourism · RU

Funding

Large Scale Genome SequencingU54HG003079 · NHGRI · WASHINGTON UNIVERSITY · PI DUTCHER, SUSAN K · 2004 to 2016
$445.7M
Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
Multi-Species Comparative Sequencing of Targeted GenomicZ01HG000196 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI GREEN, ERIC · 2001 to 2008
$19.1M
Identifying Genes for Type 2 Diabetes: FUSIONU01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2009 to 2021
$11.6M
Targeted Genetic Analysis of T2D and Quantitative TraitsR01DK072193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2005 to 2026
$11.3M
Identifying Genes for Type 2 Diabetes:FUSIONR01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2003 to 2025
$6.7M
Synthesizing genome, epigenome, and transcriptome datasets in type 2 diabetes.R00DK099240 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PARKER, STEPHEN CJ · 2015 to 2017
$726k
Identifying Genes for Type 2 Diabetes: FUSIONR56DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L · 2008 to 2008
$500k
GENOMIC CHARACTERIZATION OF PARASITIC NEMATODESF32HG000196 · NHGRI · WASHINGTON UNIVERSITY · PI MCCARTER, JAMES P · 1998 to 1998
–
Intramural NIH HHS Z01 HG000196Intramural NIH HHS ZIA HG000024Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHGRI NIH HHS F32 HG000196NHGRI NIH HHS U54 HG003079NIDDK NIH HHS K99 DK099240NIDDK NIH HHS R00 DK099240NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R56 DK062370NIDDK NIH HHS U01 DK062370
6 · The paper itself

Abstract

Muscle fiber composition is associated with physical performance, with endurance athletes having a high proportion of slow-twitch muscle fibers compared to power athletes. Approximately 45% of muscle fiber composition is heritable, however, single nucleotide polymorphisms (SNP) underlying inter-individual differences in muscle fiber types remain largely unknown. Based on three whole genome SNP datasets, we have shown that the rs236448 A allele located near the cyclin-dependent kinase inhibitor 1A (CDKN1A) gene was associated with an increased proportion of slow-twitch muscle fibers in Russian (n = 151; p = 0.039), Finnish (n = 287; p = 0.03), and Japanese (n = 207; p = 0.008) cohorts (meta-analysis: p = 7.9 × 10−5. Furthermore, the frequency of the rs236448 A allele was significantly higher in Russian (p = 0.045) and Japanese (p = 0.038) elite endurance athletes compared to ethnically matched power athletes. On the contrary, the C allele was associated with a greater proportion of fast-twitch muscle fibers and a predisposition to power sports. CDKN1A participates in cell cycle regulation and is suppressed by the miR-208b, which has a prominent role in the activation of the slow myofiber gene program. Bioinformatic analysis revealed that the rs236448 C allele was associated with increased CDKN1A expression in whole blood (p = 8.5 × 10−15) and with greater appendicular lean mass (p = 1.2 × 10−5), whereas the A allele was associated with longer durations of exercise (p = 0.044) reported amongst the UK Biobank cohort. Furthermore, the expression of CDKN1A increased in response to strength (p < 0.0001) or sprint (p = 0.00035) training. Accordingly, we found that CDKN1A expression is significantly (p = 0.002) higher in the m. vastus lateralis of strength athletes compared to endurance athletes and is positively correlated with the percentage of fast-twitch muscle fibers (p = 0.018). In conclusion, our data suggest that the CDKN1A rs236448 SNP may be implicated in the determination of muscle fiber composition and may affect athletic performance.

Indexed as

Cyclin-Dependent Kinase Inhibitor p21Genome-Wide Association StudyMuscle Fibers, SkeletalMuscle Fibers, Slow-TwitchAthletesHumansCDKN1A protein, humanCyclin-Dependent Kinase Inhibitor p21athletic performanceDNAenduranceexercisegenetic markersgenotypeGWASmuscle fiberssportssprinterstalent identification

Identifiers

PMID36497168
PMCPMC9737696
OpenAlexW4311522337

What OpenQuestion holds

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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.