Evidence map›Paper›PMID 26365393›Full record

ArticleGenetics research2015

Determination of obesity associated gene variants related to TMEM18 through ultra-deep targeted re-sequencing in a case-control cohort for pediatric obesity.

Mathias Rask-Andersen, Markus Sällman Almén, Josefin A Jacobsson, Adam Ameur, George Moschonis, George Dedoussis, Claude Marcus, Ulf Gyllensten, Robert Fredriksson, Helgi B Schiöth

Open access · bronzeAbstract read
In one paragraph

Article in Genetics research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Structural variants caused byProceedings of the National Academy of Sciences of the United States of America · 2017
    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

10 authors at 4 institutions in 2 countries.

Mathias Rask-AndersenDepartment of Neuroscience,Functional Pharmacology,Uppsala University,BMC,Uppsala,Sweden.
Markus Sällman AlménDepartment of Neuroscience,Functional Pharmacology,Uppsala University,BMC,Uppsala,Sweden.
Josefin A JacobssonDepartment of Neuroscience,Functional Pharmacology,Uppsala University,BMC,Uppsala,Sweden.
Adam AmeurDepartment of Immunology,Genetics, and Pathology,SciLifeLab Uppsala,Rudbeck Laboratory,Uppsala University,Uppsala,Sweden.
George MoschonisDepartment of Nutrition and Dietetics,Harokopio University of Athens,Athens,Greece.
George DedoussisDepartment of Nutrition and Dietetics,Harokopio University of Athens,Athens,Greece.
Claude MarcusDepartment for Clinical Science,Intervention and Technology,Karolinska Institutet,Division of Pediatrics,National Childhood Obesity Centre,Stockholm,Sweden.
Ulf GyllenstenDepartment of Immunology,Genetics, and Pathology,SciLifeLab Uppsala,Rudbeck Laboratory,Uppsala University,Uppsala,Sweden.
Robert FredrikssonDepartment of Neuroscience,Functional Pharmacology,Uppsala University,BMC,Uppsala,Sweden.
Helgi B SchiöthDepartment of Neuroscience,Functional Pharmacology,Uppsala University,BMC,Uppsala,Sweden.
Uppsala University · SEHarokopio University of Athens · GRKarolinska Institutet · SEScience for Life Laboratory · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have revealed association of a locus approximately 25b downstream of the TMEM18 gene with body mass and obesity. We utilized targeted re-sequencing of the body mass associated locus in proximity of TMEM18 in a case-control population of severely obese children and adolescents from the Stockholm area. We expanded our study to include the TMEM18 gene itself, with the aim of identifying body mass associated genetic variants. Sequencing was performed on the SOLiD platform, on long-range PCR fragments generated through targeted amplification of the regions of interest. Candidate single nucleotide polymorphisms (SNPs) were validated by TaqMan genotyping. We were able to observe 131 SNPs across the re-sequenced regions. Chi squared tests comparing the allele frequencies between cases and controls revealed 57 SNPs as candidates for association with obesity. Validation and replication genotyping revealed robust associations for SNPs within the haplotype block region located downstream from the TMEM18 gene. This study provides a high resolution map of the genetic variation pattern in the TMEM18 gene, as well as the associated haplotype block, and further strengthens the association of variants within the proximal haplotype block with obesity and body mass.

Indexed as

Polymorphism, Single NucleotideAdolescentCase-Control StudiesChildCohort StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeGenotyping TechniquesHaplotypesHigh-Throughput Nucleotide SequencingHumansLinkage DisequilibriumMaleMembrane ProteinsMembrane ProteinsTMEM18 protein, human

Identifiers

PMID26365393
PMCPMC6863632
OpenAlexW2436003560

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.