Evidence map›Paper›PMID 38570441›Full record

ArticleBiochemical genetics2025

Association Between RORA Polymorphisms and Obesity.

Shahryar Azizi, Parisa Esmaeili Motlagh, Solat Eslami, Soudeh Ghafouri-Fard

Abstract read
PubMed Publisher
In one paragraph

Article in Biochemical genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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

4 authors at 2 institutions in 1 country.

Shahryar AziziDepartment of Surgery, Erfan Niayesh Hospital, Tehran, Iran.
Parisa Esmaeili MotlaghDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Solat EslamiDepartment of Medical Biotechnology, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran.
Soudeh Ghafouri-FardDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran. s.ghafourifard@sbmu.ac.ir.
Shahid Beheshti University of Medical Sciences · IRAlborz University of Medical Sciences

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RORα is a transcription factor encoded by RORA gene. This protein is involved in several metabolic conditions, including obesity. We assessed association between two polymorphisms within this gene (namely rs11639084 and rs4774388) and severe obesity in Iranian population. Both SNPs were associated with obesity in all models (P < 0.0001) except for over-dominant model. T allele of rs11639084 was associated with this trait with OR (95% CI) of 16.85 (13.11-21.67) and was considered as the risk allele. Allelic model best fit the data, since the AIC value for this model was the highest (AIC = 28.82). In the co-dominant model, TT genotype was associated with obesity with OR (95% CI) of 301.6 (137.4-662.1). This genotype was shown to be the risk genotype in the recessive model when compared with TC+CC (OR (95% CI) = 60.54 (30.35-120.7)). The C allele of rs4774388 was shown to be the risk allele with OR (95% CI) of 4.61 (3.72-5.71). In the recessive model, the CC genotype was associated with the mentioned trait with OR (95% CI) of 9.92 (6.62-14.8). This model best fit the data (AIC = 37.08). Cumulatively, the current study suggests contribution of RORα to the pathogenesis of obesity.

Indexed as

Genetic Predisposition to DiseaseNuclear Receptor Subfamily 1, Group F, Member 1ObesityPolymorphism, Single NucleotideAdultAllelesFemaleGenetic Association StudiesGenotypeHumansIranMaleMiddle AgedNuclear Receptor Subfamily 1, Group F, Member 1RORA protein, humanObesityPolymorphismRORA

Identifiers

PMID38570441
OpenAlexW4393862126

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.