Evidence map›Paper›PMID 30871540›Full record

ArticleBMC medical genomics2019

FTO haplotyping underlines high obesity risk for European populations.

Vladimir Babenko, Roman Babenko, Junaid Gamieldien, Arcady Markel

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

  1. Association ofAnimals : an open access journal from MDPI · 2026
    Article
  2. Article
  3. Technologies, strategies, and cautions when deconvoluting genome-wide association signals: FTO in focus.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023
    Review
  4. Human abdominal subcutaneous-derived active beige adipocytes carryingFrontiers in cell and developmental biology · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Frontiers in endocrinology · 2021
    Article
  10. Article
  11. Article
  12. Medical genomics research at BGRS-2018.BMC medical genomics · 2019
    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

4 authors at 3 institutions in 2 countries.

Vladimir BabenkoFederal Research Center Institute of Cytology and Genetics SB RAS, 10 Lavrentieva Ave, Novosibirsk, Russian Federation, 630090. bob@bionet.nsc.ru.
Roman BabenkoFederal Research Center Institute of Cytology and Genetics SB RAS, 10 Lavrentieva Ave, Novosibirsk, Russian Federation, 630090.
Junaid GamieldienSouth African National Bioinformatics Institute/SAMRC Unit for Bioinformatics Capacity Development, University of the Western Cape, Cape Town, 7535, South Africa.
Arcady MarkelFederal Research Center Institute of Cytology and Genetics SB RAS, 10 Lavrentieva Ave, Novosibirsk, Russian Federation, 630090.
Institute of Cytology and Genetics · RUNovosibirsk State University · RUUniversity of the Western Cape · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFat mass and obesity-associated (FTO) gene has been under close investigation since the discovery of its high impact on the obesity status in 2007 by a range of publications. Recent report on its implication in adipocytes underscored its molecular and functional mechanics in pathology. Still, the population specific features of the locus structure have not been approached in detail.

methodsWe analyzed the population specific haplotype profiles of FTO genomic locus identified by Genome Wide Association Studies (GWAS) for the high obesity risk by examining eighteen 1000G populations from 4 continental groups. The GWAS SNPs cluster is located in the FTO gene intron 1 spanning around 70 kb.

resultsWe reconstructed the ancestral state of the locus, which comprised low-risk major allele found in all populations, and two minor risk-associated alleles, each one specific for African and European populations, correspondingly. The locus structure and its allele frequency distribution underscore the high risk allele frequency specifically for the European population. South Asian populations have the second highest frequency of risk alleles, while East Asian populations have the lowest. African population-specific minor allele was only partially risk-associated. All of the GWAS SNPs considered are manifested by low risk alleles as reference (major) ones (p > 0.5) in each of the continental groups. Strikingly, rs1421085, recently reported as a causal SNP, was found to be monomorphic in ancestral (African) populations, implying possible selection sweep in the course of its rapid fixation, as reported previously.

conclusionThe observations underscore varying FTO -linked risk in the manifestation of population specific epidemiology of genetically bound obesity. The results imply that the FTO locus is one of the major genetic determinants for obesity risk from GWAS SNPs set.

Indexed as

AllelesAlpha-Ketoglutarate-Dependent Dioxygenase FTOGene FrequencyGenetics, PopulationGenome-Wide Association StudyHaplotypesHumansIntronsObesityPolymorphism, Single NucleotidePrincipal Component AnalysisRisk FactorsWhite PeopleAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanFTO geneGenomicsHaplotypesObesityPopulation genetics

Identifiers

PMID30871540
PMCPMC6417164
OpenAlexW2922207705

What OpenQuestion holds

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LicenceCC BY
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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.