Evidence map›Paper›PMID 30458724›Full record

ArticleBMC medical genetics2018

Association of Uncoupling Protein 1 (UCP1) gene polymorphism with obesity: a case-control study.

Shahanas Chathoth, Mona H Ismail, Chittibabu Vatte, Cyril Cyrus, Zhara Al Ali, Khandaker Ahtesham Ahmed, Sadananda Acharya, Aisha Mohammed Al Barqi, Amein Al Ali

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
2.0field-weighted citation impact, top 13% 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Prevalence, risk factors, and interventions for obesity in Saudi Arabia: A systematic review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
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  16. The Relationships between Leptin, Genotype, and Chinese Medicine Body Constitution for Obesity.Evidence-based complementary and alternative medicine : eCAM · 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

9 authors at 3 institutions in 2 countries.

Shahanas ChathothDepartment of Genetic Research, Institute for Research and Medical Consultation, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, 31441, Saudi Arabia. schathoth@iau.edu.sa.ORCID 0000-0001-5037-4519
Mona H IsmailDepartment of Internal Medicine, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Al-Khobar, Saudi Arabia.
Chittibabu VatteDepartment of Genetic Research, Institute for Research and Medical Consultation, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, 31441, Saudi Arabia.
Cyril CyrusDepartment of Genetic Research, Institute for Research and Medical Consultation, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam, 31441, Saudi Arabia.
Zhara Al AliDepartment of Internal Medicine, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Al-Khobar, Saudi Arabia.
Khandaker Ahtesham AhmedDepartment of Pathology, University of Alabama, Birmingham, USA.
Sadananda AcharyaDepartment of Public Health, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Aisha Mohammed Al BarqiDepartment of Internal Medicine, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Al-Khobar, Saudi Arabia.
Amein Al AliDepartment of Biochemistry, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia.
Imam Abdulrahman Bin Faisal University · SAKing Fahd Hospital of the University · SAUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is one of the main causes of morbidity and mortality worldwide. More than 120 genes have been shown to be associated with obesity related phenotypes. The aim of this study was to determine the effect of selected genetic polymorphisms in Uncoupling protein 1 (UCP1) and Niemann-Pick C1 (NPC1) genes in an obese population in Saudi Arabia.

methodsThe genotypes of rs1800592, rs10011540 and rs3811791 (UCP1 gene) and rs1805081 and rs1805082 (NPC1 gene) were determined in a total of 492 subjects using TaqMan chemistry by Real-time PCR. In addition, capillary sequencing assay was performed to identify two specific polymorphisms viz., rs45539933 (exon 2) and rs2270565 (exon 5) of UCP1 gene.

resultsA significant association of UCP1 polymorphisms rs1800592 [OR, 1.52 (1.10-2.08); p = 0.009] was observed in the obese cohort after adjusting with age, sex and type 2 diabetes. Further BMI based stratification revealed that this association was inconsistent with both moderate and extreme obese cohort. A significant association of UCP1 polymorphisms rs3811791 was observed only in the moderate-obese cohort [OR = 2.89 (1.33-6.25); p = 0.007] but not in the extreme-obese cohort indicating an overlying genetic complexity between moderate-obesity and extreme-obesity. The risk allele frequencies, which were higher in moderate-obese cohort, had abnormal HDL, LDL and triglyceride levels.

conclusionThe rs1800592 and rs3811791 of UCP1 gene are associated with obesity in general and in the moderate-obese group in particular. The associated UCP1 polymorphisms in the moderate-obese group may regulate the impaired energy metabolism which plays a significant role in the initial stages of obesity.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticAdultAllelesBody Mass IndexCarrier ProteinsCase-Control StudiesCholesterol, HDLCholesterol, LDLDiabetes Mellitus, Type 2FemaleGene ExpressionGene FrequencyHumansIntracellular Signaling Peptides and ProteinsMaleCarrier ProteinsCholesterol, HDLCholesterol, LDLIntracellular Signaling Peptides and ProteinsMembrane GlycoproteinsNiemann-Pick C1 ProteinNPC1 protein, humanTriglyceridesUCP1 protein, humanUncoupling Protein 1CholesterolDiabetesExtreme-obeseHDLLDLMetabolic disorderModerate-obeseNCP1UCP1

Identifiers

PMID30458724
PMCPMC6247512
OpenAlexW2900945803

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.