Evidence map›Paper›PMID 39751833›Full record

ArticleCalcified tissue international2025

Multi-trait Genome-Wide Analysis Identified 20 Novel Loci for Sarcopenia-Related Traits in UK Biobank.

Shu Ran, XiTong Lin, SiQi Wang, ZhuoQi Li, BaoLin Liu

Abstract read
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In one paragraph

Article in Calcified tissue international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

5 authors.

Shu Ran *School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, People's Republic of China. shuran@usst.edu.cn.
XiTong Lin *School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.ORCID 0009-0000-8433-4363
SiQi Wang *First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China.
ZhuoQi LiSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.
BaoLin LiuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to identify novel loci associated with sarcopenia-related traits in UK Biobank (UKB) through multi-trait genome-wide analysis. To identify novel loci associated with sarcopenia, we integrated the genome-wide association studies (GWAS) of usual walking pace (UWP) and hand grip strength (HGS) to conduct a joint association study known as multi-trait analysis of GWAS (MTAG). We performed a transcriptome-wide association study (TWAS) to analyze the results of MTAG in relation to mRNA expression data for genes identified in skeletal muscle. Additionally, we utilized Weighted Gene Co-Expression Network Analysis (WGCNA) and Protein-Protein Interaction (PPI) networks to explore the relationships between the identified genes and hub genes related to sarcopenia. We identified 15 novel loci associated with UWP and 5 novel loci associated with HGS at the genome wide significance level (GWS,

Indexed as

Biological Specimen BanksGenome-Wide Association StudySarcopeniaAgedFemaleHand StrengthHumansMaleMuscle, SkeletalPolymorphism, Single NucleotideQuantitative Trait LociTranscriptomeUK BiobankUnited KingdomHand grip strengthMulti-trait analysis of GWASSarcopeniaUsual walking paceWGCNA

Identifiers

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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.