Evidence map›Paper›PMID 24289790›Full record

ArticleBMC medical genetics2013

Influence of FTO variants on obesity, inflammation and cardiovascular disease risk biomarkers in Spanish children: a case-control multicentre study.

Josune Olza, Azahara I Ruperez, Mercedes Gil-Campos, Rosaura Leis, Dietmar Fernandez-Orth, Rafael Tojo, Ramon Cañete, Angel Gil, Concepcion M Aguilera

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC medical genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 8% 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, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Observational
  5. Article
  6. Review
  7. Heliyon · 2024
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  12. Review
  13. Novel methylation mark and essential hypertension.Journal, genetic engineering & biotechnology · 2022
    Review
  14. Article
  15. Observational
  16. Article
  17. N6-adenosine methylation (m6A): a promising new molecular target in hypertension and cardiovascular diseases.Hypertension research : official journal of the Japanese Society of Hypertension · 2020
    Article
  18. Article
  19. Relationship ofOpen life sciences · 2020
    Article
  20. Influence ofDiabetes, metabolic syndrome and obesity : targets and therapy · 2018
    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

9 authors at 4 institutions in 1 country.

Josune Olza
Azahara I Ruperez
Mercedes Gil-Campos
Rosaura Leis
Dietmar Fernandez-Orth
Rafael Tojo
Ramon Cañete
Angel Gil
Concepcion M AguileraDepartment of Biochemistry and Molecular Biology II, Faculty of Pharmacy Institute of Nutrition and Food Technology, University of Granada, Granada, Spain. caguiler@ugr.es.
Universidad de Granada · ESInstituto Maimónides de Investigación Biomédica de Córdoba · ESUniversidade de Santiago de Compostela · ESEuskadiko Parke Teknologikoa · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVariants in the FTO gene have been associated with obesity in children, but this association has not been shown with other biomarkers. We assessed the association of 52 FTO polymorphisms, spanning the whole gene, with obesity and estimated the influence of these polymorphisms on anthropometric, clinical and metabolic parameters as well as inflammation and cardiovascular disease (CVD) risk biomarkers among Spanish children.

methodsA multicentre case-control study was conducted in 534 children (292 obese and 242 with normal-BMI). Anthropometric, clinical, metabolic, inflammation and CVD risk markers were compared using the Student's t-test for unpaired samples. The genotype relative risk was assessed by comparing the obese and normal-BMI group, calculating the odds ratio. The association of each SNP with phenotypic parameters was analysed using either logistic or linear regression analysis.

resultsAll anthropometric, clinical and metabolic factors as well as inflammatory and CVD risk biomarkers were higher in the obese than in the normal-BMI group, except adiponectin and HDL-c that were lower, and glucose, LDL-c, and metalloproteinase-9 that did not show difference. Four polymorphisms (rs9935401, rs9939609, rs9928094 and rs9930333) were positively associated with obesity and in linkage disequilibrium between each other; the haplotype including the risk alleles of these polymorphisms showed a high risk for obesity. The rs8061518 was negatively associated with obesity and the haplotype including this SNP and rs3826169, rs17818902 and rs7190053 showed a decreased risk for obesity. Additionally, the rs8061518 was associated with weight, diastolic blood pressure, insulin, homeostatic model assessment of insulin resistance, leptin, and active plasminogen inhibitor activator-1 after sex and age adjustment; however, after an additional BMI adjustment, this polymorphism remained associated only with leptin.

conclusionsWe validated the previous reported association of genetic variability in intron 1 of the FTO gene with the risk of obesity and found no association with other related traits in this region of the gene. We have observed strong statistical evidence for an association of rs8061518 in intron 3 of the gene with decreased risk of obesity and low concentration of leptin.

Indexed as

AdolescentAllelesAlpha-Ketoglutarate-Dependent Dioxygenase FTOBiomarkersCardiovascular DiseasesCase-Control StudiesChildFemaleGenotypeHaplotypesHumansInflammationIntronsLeptinLinkage DisequilibriumMaleAlpha-Ketoglutarate-Dependent Dioxygenase FTOBiomarkersFTO protein, humanLeptinProteins

Identifiers

PMID24289790
PMCPMC3866940
OpenAlexW2049031961

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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.