Evidence map›Paper›PMID 23445342›Full record

ArticleBMC genomics2013

A Drosophila functional evaluation of candidates from human genome-wide association studies of type 2 diabetes and related metabolic traits identifies tissue-specific roles for dHHEX.

Jay Pendse, Prasanna V Ramachandran, Jianbo Na, Narisu Narisu, Jill L Fink, Ross L Cagan, Francis S Collins, Thomas J Baranski

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.0field-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

25 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Mistletoe infestedFood chemistry. Molecular sciences · 2022
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  7. Examination ofJournal of genetics · 2022
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  8. Article
  9. The Genetics of Diabetes: What We Can Learn fromInternational journal of molecular sciences · 2021
    Review
  10. Article
  11. Functional Inactivation ofInternational journal of molecular sciences · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Drosophila as a Model for Diabetes and Diseases of Insulin Resistance.Current topics in developmental biology · 2017
    Review
  20. 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

8 authors at 4 institutions in 1 country.

Jay PendseDepartment of Developmental and Regenerative Biology, Mount SinaiSchool of Medicine, New York, NY, USA.
Prasanna V Ramachandran
Jianbo Na
Narisu Narisu
Jill L Fink
Ross L Cagan
Francis S Collins
Thomas J Baranski
Icahn School of Medicine at Mount Sinai · USWashington University in St. Louis · USNational Human Genome Research Institute · USNational Institutes of Health · US

Funding

Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Irfan J Lodhi · 2013 to 2026
$27.1M
TRANSGENICS COREP60DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI SCHAFFER, JEAN E. · 1986 to 2012
$25.2M
Teaching biomedical and pharmacological trainees to produce FAIR data for AI & ML applicationsT32GM062754 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI SCHLESSINGER, AVNER · 2001 to 2023
$6.2M
PLANNING INTERDISCIPLINARY STUDY: DIABETIC HEART: COMPREHENSION PROPOSAL FOR IRCP20RR020643 · NCRR · WASHINGTON UNIVERSITY · PI KELLY, DANIEL PATRICK · 2004 to 2006
$1.7M
Drosophila Screens for Diabetes and Glucose ToxicityR21DK069940 · NIDDK · WASHINGTON UNIVERSITY · PI CAGAN, ROSS LEIGH · 2004 to 2007
$462k
Intramural NIH HHSNCRR NIH HHS P20 RR020643NIDDK NIH HHS P30 DK020579NIDDK NIH HHS P60 DK20579NIDDK NIH HHS R21 DK069940NIGMS NIH HHS T32 GM-62754
6 · The paper itself

Abstract

backgroundGenome-wide association studies (GWAS) identify regions of the genome that are associated with particular traits, but do not typically identify specific causative genetic elements. For example, while a large number of single nucleotide polymorphisms associated with type 2 diabetes (T2D) and related traits have been identified by human GWAS, only a few genes have functional evidence to support or to rule out a role in cellular metabolism or dietary interactions. Here, we use a recently developed Drosophila model in which high-sucrose feeding induces phenotypes similar to T2D to assess orthologs of human GWAS-identified candidate genes for risk of T2D and related traits.

resultsDisrupting orthologs of certain T2D candidate genes (HHEX, THADA, PPARG, KCNJ11) led to sucrose-dependent toxicity. Tissue-specific knockdown of the HHEX ortholog dHHEX (CG7056) directed metabolic defects and enhanced lethality; for example, fat-body-specific loss of dHHEX led to increased hemolymph glucose and reduced insulin sensitivity.

conclusionCandidate genes identified in human genetic studies of metabolic traits can be prioritized and functionally characterized using a simple Drosophila approach. To our knowledge, this is the first large-scale effort to study the functional interaction between GWAS-identified candidate genes and an environmental risk factor such as diet in a model organism system.

Indexed as

Genome-Wide Association StudyAnimalsDiabetes Mellitus, Type 2Drosophila melanogasterDrosophila ProteinsFat BodyGenetic Association StudiesGenetic Predisposition to DiseaseGlucoseHomeodomain ProteinsHumansInsulin ResistanceMuscle ProteinsOrgan SpecificityPhenotypePolymorphism, Single NucleotideDrosophila ProteinsGlucoseHHEX protein, humanHomeodomain Proteinsko protein, DrosophilaMuscle ProteinsTranscription Factors

Identifiers

PMID23445342
PMCPMC3608171
OpenAlexW1967289063

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.