Evidence map›Paper›PMID 32093658›Full record

ArticleBMC medical genetics2020

Disentangling the genetics of sarcopenia: prioritization of NUDT3 and KLF5 as genes for lean mass & HLA-DQB1-AS1 for hand grip strength with the associated enhancing SNPs & a scoring system.

Abhishek Narain Singh, Bili Gasman

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

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  9. Strength training in elderly: An useful tool against sarcopenia.Frontiers in sports and active living · 2022
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  12. New structural insights reveal an expanded reaction cycle for inositol pyrophosphate hydrolysis by human DIPP1.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
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  14. Intersecting Genetics of Frailty and Cardiovascular Disease.The journal of nutrition, health & aging · 2021
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  15. Polymorphism rs10105606 ofJournal of inflammation research · 2021
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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

2 authors at 1 institution in 2 countries.

Abhishek Narain SinghA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland. abhishek.narain@iitdalumni.com.ORCID 0000-0003-1734-817X
Bili GasmanFaculty of Medicine, Bar Ilan University, Safed, Israel.
Bar-Ilan University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia is a skeletal muscle disease of clinical importance that occurs commonly in old age and in various disease sub-categories. Widening the scope of knowledge of the genetics of muscle mass and strength is important because it may allow to identify patients with an increased risk to develop a specific musculoskeletal disease or condition such as sarcopenia based on genetic markers.

methodsWe used bioinformatics tools to identify gene loci responsible for regulating muscle strength and lean mass, which can then be a target for downstream lab experimentation validation. Single nuclear polymorphisms (SNPs) associated with various disease traits of muscles and specific genes were chosen according to their muscle phenotype association p-value, as traditionally done in Genome Wide Association Studies, GWAS. We've developed and applied a combination of expression quantitative trait loci (eQTLs) and GWAS summary information, to prioritize causative SNP and point out the unique genes associated in the tissues of interest (muscle).

resultsWe found NUDT3 and KLF5 for lean mass and HLA-DQB1-AS1 for hand grip strength as candidate genes to target for these phenotypes. The associated regulatory SNPs are rs464553, rs1028883 and rs3129753 respectively.

conclusionTranscriptome Wide Association Studies, TWAS, approaches of combining GWAS and eQTL summary statistics proved helpful in statistically prioritizing genes and their associated SNPs for the disease phenotype of study, in this case, Sarcopenia. Potentially regulatory SNPs associated with these genes, and the genes further prioritized by a scoring system, can be then wet lab verified, depending on the phenotype it is hypothesized to affect.

Indexed as

Hand StrengthPolymorphism, Single NucleotideAcid Anhydride HydrolasesBody CompositionGene Expression ProfilingGenetic MarkersGenetic Predisposition to DiseaseGenome-Wide Association StudyHLA-DQ beta-ChainsHumansKruppel-Like Transcription FactorsLinkage DisequilibriumMuscle, SkeletalOrgan SizePhenotypeQuantitative Trait LociAcid Anhydride Hydrolasesdiphosphoinositol polyphosphate phosphohydrolaseGenetic MarkersHLA-DQB1 antigenHLA-DQ beta-ChainsKLF5 protein, humanKruppel-Like Transcription FactorsRNA, Long NoncodingeQTLGWASmusclesarcopeniaSMRSNPsTADsTWAS

Identifiers

PMID32093658
PMCPMC7041234
OpenAlexW3011926360

What OpenQuestion holds

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LicenceCC BY
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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.