Evidence map›Paper›PMID 23096090›Full record

ArticleMolecular biology reports2013

Amerindians show no association of PPAR-γ2 gene Ala12 allele and obesity: an "unthrifty" variant population genetics.

Antonio Arnaiz-Villena, Mercedes Fernández-Honrado, Cristina Areces, Mercedes Enríquez-de-Salamanca, Sedeka Abd-El-Fatah-Khalil, Carmen Coca, Ignacio Arribas, Manuel Algora, Diego Rey

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Article in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. 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.

Antonio Arnaiz-VillenaDepartamento de Inmunología, Facultad de Medicina, The Madrid Regional Blood Center, University Complutense, Pabellón 5, Planta 4. Avda. Complutense s/n, 28040, Madrid, Spain. aarnaiz@med.ucm.es
Mercedes Fernández-Honrado
Cristina Areces
Mercedes Enríquez-de-Salamanca
Sedeka Abd-El-Fatah-Khalil
Carmen Coca
Ignacio Arribas
Manuel Algora
Diego Rey

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is for many scholars the most important starting status that gives rise to Metabolic Syndrome (MS) and Type 2 Diabetes (T2D). In the present paper, a genetically homogeneous Amerindian population, as defined by HLA genes, has been genotyped for one of the MS and T2D predisposing genes: PPAR-γ Ala12 and Pro 12 variants. Ala12 has been negatively associated with obesity, but other authors do not find such an association. Notwithstanding, a meta-analysis that used many subjects clearly demonstrated that PPAR-γ Ala12 bearing ones had a reduced risk for T2D. Our results show that Amerindians do not have association of PPAR-γ2 Ala12 and obesity; the latter was measured by waist circumference values after taken specific Amerindian normal waist parameters. Also, a population genetics study indicates that Pro12 allele was the wild allele, which must have occurred before modern humans left Africa. Ala12 may have appeared in Caucasoids later on, according to our comparisons. Negroids tend to show low or null Ala 12 allele frequencies, while most other populations have a significant frequency, particularly European Caucasoids. This may suggest that appearance of Ala12 allele occurred after populations adapted to an agricultural feeding.

Indexed as

Indians, South AmericanAdultAgedAlanineAmino Acid SubstitutionFemaleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseHumansMaleMiddle AgedObesityPolymorphism, Single NucleotidePPAR gammaSequence Analysis, DNAAlaninePPAR gamma

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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.