Evidence map›Paper›PMID 27881840›Full record

ArticleJournal of human genetics2017

A combined linkage and association strategy identifies a variant near the GSTP1 gene associated with BMI in the Mexican population.

Hugo Villamil-Ramírez, Paola León-Mimila, Luis R Macias-Kauffer, Adrián Canizalez-Román, Marisela Villalobos-Comparán, Nidia León-Sicairos, Joel Vega-Badillo, Fausto Sánchez-Muñoz, Blanca López-Contreras, Sofía Morán-Ramos and 8 more

Abstract read
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In one paragraph

Article in Journal of human genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 25% 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, 5 citations in OpenAlex.

  1. 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

18 authors at 6 institutions in 2 countries.

Hugo Villamil-RamírezPrograma de Doctorado en Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, México City, México.
Paola León-MimilaUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), México City, México.
Luis R Macias-KaufferUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), México City, México.
Adrián Canizalez-RománFacultad de Medicina, Universidad Autónoma de Sinaloa, Sinaloa, México.
Marisela Villalobos-ComparánDepartamento de Genómica Computacional, INMEGEN, México City, México.
Nidia León-SicairosFacultad de Medicina, Universidad Autónoma de Sinaloa, Sinaloa, México.
Joel Vega-BadilloUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), México City, México.
Fausto Sánchez-MuñozDepartamento de Inmunología, Instituto Nacional de Cardiología Ignacio Chávez (INCICh), México City, México.
Blanca López-ContrerasUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), México City, México.
Sofía Morán-RamosUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), México City, México.
Teresa Villarreal-MolinaLaboratorio de Enfermedades Cardiovasculares, INMEGEN, México City, México.
Luis C ZuritaClínica Integral de Cirugía para la Obesidad y Enfermedades Metabólicas, Hospital General 'Dr Rubén Leñero', México City, México.
Francisco Campos-PérezClínica Integral de Cirugía para la Obesidad y Enfermedades Metabólicas, Hospital General 'Dr Rubén Leñero', México City, México.
Adriana Huertas-VazquezDepartment of Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Rafael BojalilDepartamento de Inmunología, Instituto Nacional de Cardiología Ignacio Chávez (INCICh), México City, México.
Sandra Romero-HidalgoDepartamento de Genómica Computacional, INMEGEN, México City, México.
Carlos A Aguilar-SalinasDepartamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, México.
Samuel Canizales-QuinterosUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), México City, México.
National Institute of Genomic Medicine · MXAutonomous University of Sinaloa · MXHospital General de México · MXInstituto Nacional de Cardiología · MXInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a major public health concern in Mexico and worldwide. Although the estimated heritability is high, common variants identified by genome-wide association studies explain only a small proportion of this heritability. A combination of linkage and association strategies could be a more robust and powerful approach to identify other obesity-susceptibility variants. We thus sought to identify novel genetic variants associated with obesity-related traits in the Mexican population by combining these methods. We performed a genome-wide linkage scan for body mass index (BMI) and other obesity-related phenotypes in 16 Mexican families using the Sequential Oligogenic Linkage Analysis Routines Program. Associated single-nucleotide polymorphisms (SNPs) were tested for associations in an independent cohort. Two suggestive BMI-linkage peaks (logarithm of odds ⩾1.5) were observed at chromosomal regions 11q13 and 13q22. Only rs614080 in the 11q13 region was significantly associated with BMI and related traits in these families. This association was also significant in an independent cohort of Mexican adults. Moreover, this variant was significantly associated with GSTP1 gene expression levels in adipose tissue. In conclusion, the rs614080 SNP near the GSTP1 gene was significantly associated with BMI and GSTP1 expression levels in the Mexican population.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideQuantitative Trait, HeritableQuantitative Trait LociAdipose TissueAdolescentAdultAgedBody Mass IndexChromosomes, Human, Pair 11FamilyFemaleGenetic LinkageGenome-Wide Association StudyGlutathione S-Transferase piHumansGlutathione S-Transferase piGSTP1 protein, human

Identifiers

PMID27881840
OpenAlexW2552364358

What OpenQuestion holds

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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.