Evidence map›Paper›PMID 38485241›Full record

ArticleJournal of bone metabolism2024

Association between Fat Mass and Obesity-Related Transcript Polymorphisms and Osteoporosis Phenotypes.

Krisel De Dios, Ngoc Huynh, Thach S Tran, Jacqueline R Center, Tuan V Nguyen

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of bone metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
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.

Krisel De DiosSchool of Biomedical Engineering, University of Technology Sydney, Sydney, Australia.
Ngoc HuynhSchool of Biomedical Engineering, University of Technology Sydney, Sydney, Australia.
Thach S TranSchool of Biomedical Engineering, University of Technology Sydney, Sydney, Australia.
Jacqueline R CenterGarvan Institute of Medical Research, Sydney, Australia.
Tuan V NguyenSchool of Biomedical Engineering, University of Technology Sydney, Sydney, Australia.
University of Technology Sydney · AU

Funding

National Health and Medical Research Council APP1195305
6 · The paper itself

Abstract

backgroundCommon variants in the fat mass and obesity-related transcript (FTO) gene are related to body mass index and obesity, suggesting its potential association with bone mineral density (BMD) and fracture risk. This study sought to define the association between FTO gene variants and the following phenotypes: (1) BMD; (2) bone loss; and (3) fracture risk.

methodsThis analysis was based on the Dubbo Osteoporosis Epidemiology Study that included 1,277 postmenopausal women aged ≥60 years living in Dubbo, Australia. BMD at the femoral neck and lumbar spine was measured biennially by dual energy X-ray absorptiometry (GE Lunar). Fractures were radiologically ascertained. Six single nucleotide polymorphisms (SNPs; rs1421085, rs1558902, rs1121980, rs17817449, rs9939609, and rs9930506) of the FTO gene were genotyped using TaqMan assay.

resultsWomen homozygous for the minor allele (GG) of rs9930506 had a significantly higher risk of hip fracture (adjusted hazard ratio, 1.93; 95% confidence interval, 1.15-3.23) than those homozygous for the major allele (AA) after adjusting for potential confounding effects. Similar associations were also observed for the minor allele of rs1121980. However, there was no significant association between the FTO SNPs and BMD or the rate of bone loss.

conclusionsCommon variations in the FTO gene are associated with a hip fracture risk in women, and the association is not mediated through BMD or bone loss.

Indexed as

Alpha-ketoglutarate-dependent dioxygenase FTOGenetic variationOsteoporosisPhenotypePolymorphism, single nucleotide

Identifiers

PMID38485241
PMCPMC10940110
OpenAlexW4392770014

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.