Evidence map›Paper›PMID 24863034›Full record

ArticleAging cell2014

Large-scale analysis reveals a functional single-nucleotide polymorphism in the 5'-flanking region of PRDM16 gene associated with lean body mass.

Tomohiko Urano, Masataka Shiraki, Noriko Sasaki, Yasuyoshi Ouchi, Satoshi Inoue

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
1.9field-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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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  15. Journal of clinical medicine · 2018
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  16. Burly1 is a mouse QTL for lean body mass that maps to a 0.8-Mb region of chromosome 2.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
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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

5 authors at 1 institution in 1 country.

Tomohiko UranoGeriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Anti-Aging Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Masataka Shiraki
Noriko Sasaki
Yasuyoshi Ouchi
Satoshi Inoue
The University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic factors are important for the development of sarcopenia, a geriatric disorder characterized by low lean body mass. The aim of this study was to search for novel genes that regulate lean body mass in humans. We performed a large-scale search for 250K single-nucleotide polymorphisms (SNPs) associated with bone mineral density (BMD) using SNP arrays in 1081 Japanese postmenopausal women. We focused on an SNP (rs12409277) located in the 5'-flanking region of the PRDM16 (PRD1-BF-1-RIZ1 homologous domain containing protein 16) gene that showed a significant P value in our screening. We demonstrated that PRDM16 gene polymorphisms were significantly associated with total body BMD in 1081 postmenopausal Japanese women. The rs12409277 SNP affected the transcriptional activity of PRDM16. The subjects with one or two minor allele(s) had a higher lean body mass than the subjects with two major alleles. Genetic analyses uncovered the importance of the PRDM16 gene in the regulation of lean body mass.

Indexed as

Genetic Association Studies5' Flanking RegionAllelesAnimalsBody WeightCell LineDNA-Binding ProteinsFemaleHumansMiceMiddle AgedPolymorphism, Single NucleotideThinnessTranscription FactorsTranscription, GeneticDNA-Binding ProteinsPRDM16 protein, humanTranscription Factorsagingbody lean massgeneticsgenome-wide association studyPRDM16single-nucleotide polymorphism

Identifiers

PMID24863034
PMCPMC4326941
OpenAlexW2042328858

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.