Evidence map›Paper›PMID 32579386›Full record

ArticleAmerican journal of physiology. Regulatory, integrative and comparative physiology2020

Targeted genotype analyses of GWAS-derived lean body mass and handgrip strength-associated single-nucleotide polymorphisms in elite master athletes.

Hannah Crossland, Jessica Piasecki, Daniel McCormick, Bethan E Phillips, Daniel J Wilkinson, Kenneth Smith, Jamie S McPhee, Mathew Piasecki, Philip J Atherton

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Regulatory, integrative and comparative physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 3 institutions in 1 country.

Hannah CrosslandMedical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom.ORCID 0000-0002-9009-3049
Jessica PiaseckiMusculoskeletal Physiology Research Group, Sport, Health and Performance Enhancement Research Centre, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.
Daniel McCormickMedical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom.
Bethan E PhillipsMedical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom.
Daniel J WilkinsonMedical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom.
Kenneth SmithMedical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom.
Jamie S McPheeDepartment of Sport and Exercise Sciences, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, United Kingdom.
Mathew PiaseckiMedical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom.
Philip J AthertonMedical Research Council Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute of Health Research Nottingham Biomedical Research Centre, University of Nottingham, Royal Derby Hospital Centre, Nottingham, United Kingdom.
University of Nottingham · GBManchester Metropolitan University · GBNottingham Trent University · GB

Funding

Medical Research Council MR/K00414X/1Medical Research Council MR/K025252/1Medical Research Council MR/P021220/1
6 · The paper itself

Abstract

Recent large genome-wide association studies (GWAS) have independently identified a set of genetic loci associated with lean body mass (LBM) and handgrip strength (HGS). Evaluation of these candidate single-nucleotide polymorphisms (SNPs) may be useful to investigate genetic traits of populations at higher or lower risk of muscle dysfunction. As such, we investigated associations between six SNPs linked to LBM or HGS in a population of elite master athletes (MA) and age-matched controls as a representative population of older individuals with variable maintenance of muscle mass and function. Genomic DNA was isolated from buffy coat samples of 96 individuals [consisting of 48 MA (71 ± 6 yr, age-graded performance 83 ± 9%) and 48 older controls (75 ± 6 yr)]. SNP validation and sample genotyping were conducted using the tetra-primer amplification refractory mutation system (ARMS). For the three SNPs analyzed that were previously associated with LBM (

Indexed as

AthletesGenotypePolymorphism, Single NucleotideAgedAged, 80 and overAllelesBody CompositionBody Mass IndexFemaleGenome-Wide Association StudyHand StrengthHumansMaleMiddle AgedPhenotypeelite athleteshandgrip strengthlean massmuscle

Identifiers

PMID32579386
PMCPMC7473897
OpenAlexW3037594594

What OpenQuestion holds

Textmetadata
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.