Evidence map›Paper›PMID 20009087›Full record

ArticleDiabetes2010

Genetic variation at the FTO locus influences RBL2 gene expression.

Jeremy B M Jowett, Joanne E Curran, Matthew P Johnson, Melanie A Carless, Harald H H Göring, Thomas D Dyer, Shelley A Cole, Anthony G Comuzzie, Jean W MacCluer, Eric K Moses and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetes, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Association between FTO gene polymorphism and cancer risk: evidence from 16,277 cases and 31,153 controls.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2012
    Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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
  9. Article
  10. Article
  11. Article
  12. Article
  13. Genetic architecture of Alzheimer's disease.Neurobiology of disease · 2020
    Review
  14. Article
  15. Review
  16. Review
  17. FTO genotype impacts food intake and corticolimbic activation.The American journal of clinical nutrition · 2018
    Observational
  18. Article
  19. FTO associations with obesity and telomere length.Journal of biomedical science · 2017
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Jeremy B M JowettDepartment of Genomics and Systems Biology, Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia. jeremy.jowett@bakeridi.edu.au
Joanne E Curran
Matthew P Johnson
Melanie A Carless
Harald H H Göring
Thomas D Dyer
Shelley A Cole
Anthony G Comuzzie
Jean W MacCluer
Eric K Moses
John Blangero
Texas Biomedical Research Institute · USBaker Heart and Diabetes Institute · AU

Funding

Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
MOLECULAR AND BIOCHEMICAL GENETICS LABORATORY RENOVATIONC06RR013556 · NCRR · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI SHADE, ROBERT E · 1998 to 1998
–
NCRR NIH HHS C06 RR013556NCRR NIH HHS RR013556NHLBI NIH HHS HL045222NIMH NIH HHS MH059490NIMH NIH HHS R01 MH059490NIMH NIH HHS R37 MH059490
6 · The paper itself

Abstract

objectiveGenome-wide association studies that compare the statistical association between thousands of DNA variations and a human trait have detected 958 loci across 127 different diseases and traits. However, these statistical associations only provide evidence for genomic regions likely to harbor a causal gene(s) and do not directly identify such genes. We combined gene variation and expression data in a human cohort to identify causal genes. RESEARCH DESIGN AND

methodsGlobal gene transcription activity was obtained for each individual in a large human cohort (n = 1,240). These quantitative transcript data were tested for correlation with genotype data generated from the same individuals to identify gene expression patterns influenced by the variants.

resultsVariant rs8050136 lies within intron 1 of the FTO gene on chromosome 16 and marks a locus strongly associated with type 2 diabetes and obesity and widely replicated across many populations. We report that genetic variation at this locus does not influence FTO gene expression levels (P = 0.38), but is strongly correlated with expression of RBL2 (P = 2.7 x 10(-5)), approximately 270,000 base pairs distant to FTO.

conclusionsThese data suggest that variants at FTO influence RBL2 gene expression at large genetic distances. This observation underscores the complexity of human transcriptional regulation and highlights the utility of large human cohorts in which both genetic variation and global gene expression data are available to identify disease genes. Expedient identification of genes mediating the effects of genome-wide association study-identified loci will enable mechanism-of-action studies and accelerate understanding of human disease processes under genetic influence.

Indexed as

Genetic VariationAlpha-Ketoglutarate-Dependent Dioxygenase FTOChromosomes, Human, Pair 16Diabetes Mellitus, Type 2Genetic LinkageGenome-Wide Association StudyGenotypeHumansIntronsMexican AmericansObesityPolymorphism, Single NucleotideProteinsRetinoblastoma-Like Protein p130Alpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanProteinsRBL2 protein, humanRetinoblastoma-Like Protein p130

Identifiers

PMID20009087
PMCPMC2828652
OpenAlexW2122890867

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.