Evidence map›Paper›PMID 26935104›Full record

ReviewDisease models & mechanisms2016

Modeling congenital disease and inborn errors of development in Drosophila melanogaster.

Matthew J Moulton, Anthea Letsou

Abstract readReview
In one paragraph

Review in Disease models & mechanisms, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. A Landscape ofBiology · 2026
    Review
  2. Article
  3. TransgenicPharmaceuticals (Basel, Switzerland) · 2024
    Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Exploiting the Potential ofBiomedicines · 2021
    Review
  9. An RBPJ-Cells · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. 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

2 authors.

Matthew J MoultonDepartment of Human Genetics, University of Utah, 15 North 2030 East, Room 5100, Salt Lake City, UT 84112-5330, USA.
Anthea LetsouDepartment of Human Genetics, University of Utah, 15 North 2030 East, Room 5100, Salt Lake City, UT 84112-5330, USA aletsou@genetics.utah.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fly models that faithfully recapitulate various aspects of human disease and human health-related biology are being used for research into disease diagnosis and prevention. Established and new genetic strategies in Drosophila have yielded numerous substantial successes in modeling congenital disorders or inborn errors of human development, as well as neurodegenerative disease and cancer. Moreover, although our ability to generate sequence datasets continues to outpace our ability to analyze these datasets, the development of high-throughput analysis platforms in Drosophila has provided access through the bottleneck in the identification of disease gene candidates. In this Review, we describe both the traditional and newer methods that are facilitating the incorporation of Drosophila into the human disease discovery process, with a focus on the models that have enhanced our understanding of human developmental disorders and congenital disease. Enviable features of the Drosophila experimental system, which make it particularly useful in facilitating the much anticipated move from genotype to phenotype (understanding and predicting phenotypes directly from the primary DNA sequence), include its genetic tractability, the low cost for high-throughput discovery, and a genome and underlying biology that are highly evolutionarily conserved. In embracing the fly in the human disease-gene discovery process, we can expect to speed up and reduce the cost of this process, allowing experimental scales that are not feasible and/or would be too costly in higher eukaryotes.

Indexed as

Disease Models, AnimalAnimalsCongenital AbnormalitiesDrosophila melanogasterHumansMetabolism, Inborn ErrorsMorphogenesisReverse GeneticsCongenital disordersDrosophilaFly modelsForward geneticsInborn errors of developmentReverse genetics

Identifiers

PMID26935104
PMCPMC4826979

What OpenQuestion holds

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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.