Evidence map›Paper›PMID 27554474›Full record

ArticleDiabetes2016

Systematic Functional Characterization of Candidate Causal Genes for Type 2 Diabetes Risk Variants.

Soren K Thomsen, Alessandro Ceroni, Martijn van de Bunt, Carla Burrows, Amy Barrett, Raphael Scharfmann, Daniel Ebner, Mark I McCarthy, Anna L Gloyn

Abstract read
In one paragraph

Article in Diabetes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
–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

56 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Association of candidate gene (Journal of the Turkish German Gynecological Association · 2024
    Article
  8. Cleft palate and minor metabolic disturbances in a mouse global Arl15 gene knockout.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Metabolic Syndrome: Lessons from Rodent andBioMed research international · 2022
    Review
  15. Thada Is Dispensable for Female Fertility in Mice.Frontiers in endocrinology · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Soren K ThomsenOxford Centre for Diabetes, Endocrinology & Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K.ORCID http://orcid.org/0000-0001-8894-2868
Alessandro CeroniTarget Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, U.K.
Martijn van de BuntOxford Centre for Diabetes, Endocrinology & Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K.
Carla BurrowsOxford Centre for Diabetes, Endocrinology & Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K.
Amy BarrettOxford Centre for Diabetes, Endocrinology & Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K.
Raphael ScharfmannINSERM U1016, Institut Cochin, Université Paris Descartes, Paris, France.
Daniel EbnerTarget Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, U.K.
Mark I McCarthyOxford Centre for Diabetes, Endocrinology & Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K.
Anna L GloynOxford Centre for Diabetes, Endocrinology & Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K. anna.gloyn@drl.ox.ac.uk.

Funding

Wellcome Trust 095101Wellcome Trust 098381Wellcome Trust 200837Wellcome Trust 200837/Z/16/Z
6 · The paper itself

Abstract

Most genetic association signals for type 2 diabetes risk are located in noncoding regions of the genome, hindering translation into molecular mechanisms. Physiological studies have shown a majority of disease-associated variants to exert their effects through pancreatic islet dysfunction. Systematically characterizing the role of regional transcripts in β-cell function could identify the underlying disease-causing genes, but large-scale studies in human cellular models have previously been impractical. We developed a robust and scalable strategy based on arrayed gene silencing in the human β-cell line EndoC-βH1. In a screen of 300 positional candidates selected from 75 type 2 diabetes regions, each gene was assayed for effects on multiple disease-relevant phenotypes, including insulin secretion and cellular proliferation. We identified a total of 45 genes involved in β-cell function, pointing to possible causal mechanisms at 37 disease-associated loci. The results showed a strong enrichment for genes implicated in monogenic diabetes. Selected effects were validated in a follow-up study, including several genes (ARL15, ZMIZ1, and THADA) with previously unknown or poorly described roles in β-cell biology. We have demonstrated the feasibility of systematic functional screening in a human β-cell model and successfully prioritized plausible disease-causing genes at more than half of the regions investigated.

Indexed as

ADP-Ribosylation FactorsCell LineDiabetes Mellitus, Type 2Follow-Up StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansInsulinInsulin-Secreting CellsInsulin SecretionIslets of LangerhansNeoplasm ProteinsProtein Inhibitors of Activated STATRisk FactorsADP-Ribosylation FactorsARL15 protein, humanInsulinNeoplasm ProteinsProtein Inhibitors of Activated STATTHADA protein, humanZMIZ2 protein, human

Identifiers

PMID27554474
PMCPMC5402869

What OpenQuestion holds

Textmetadata
LicenceTDM
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.