Evidence map›Paper›PMID 33962631›Full record

ArticleOrphanet journal of rare diseases2021

Model organisms contribute to diagnosis and discovery in the undiagnosed diseases network: current state and a future vision.

Dustin Baldridge, Michael F Wangler, Angela N Bowman, Shinya Yamamoto, Undiagnosed Diseases Network, Tim Schedl, Stephen C Pak, John H Postlethwait, Jimann Shin, Lilianna Solnica-Krezel and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02450851 (Clinical and Genetic Evaluation of Patients With Undiagnosed Disorders Through the Undiagnosed Diseases Network), which is not on this map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
12.1field-weighted citation impact, top 1% 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.

NCT02450851 recruitingnot on this map

Clinical and Genetic Evaluation of Patients With Undiagnosed Disorders Through the Undiagnosed Diseases Network

TypeobservationalSponsorNational Human Genome Research Institute (NHGRI)Ran2015 to 2028Enrolled20,000ConditionsGenetic Disease
3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 83 citations in OpenAlex.

  1. Review
  2. Arriving at a diagnosis: Effective strategies used by the Undiagnosed Diseases Network.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Functional assays inGenome research · 2025
    Review
  13. Article
  14. Article
  15. The hybrid history of zebrafish.G3 (Bethesda, Md.) · 2025
    Article
  16. Article
  17. Zebrafish (International journal of molecular sciences · 2024
    Review
  18. Loss-of-function in RBBP5 results in a syndromic neurodevelopmental disorder associated with microcephaly.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
  19. Article
  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

12 authors at 4 institutions in 1 country.

Dustin Baldridge *Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, 63110, USA. dbaldri@wustl.edu.ORCID 0000-0002-6027-6020
Michael F Wangler *Department of Molecular and Human Genetics, Baylor College of Medicine (BCM), Houston, TX, 77030, USA. mw147467@bcm.edu.
Angela N BowmanDepartment of Developmental Biology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Shinya YamamotoDepartment of Molecular and Human Genetics, Baylor College of Medicine (BCM), Houston, TX, 77030, USA.ORCID 0000-0003-2172-8036
Undiagnosed Diseases Network
Tim SchedlCenter of Regenerative Medicine, Washington University in St. Louis, St. Louis, MO, 63110, USA.
Stephen C PakDepartment of Pediatrics, Washington University School of Medicine, St. Louis, MO, 63110, USA.
John H PostlethwaitInstitute of Neuroscience, University of Oregon, Eugene, OR, 97403, USA.
Jimann ShinDepartment of Developmental Biology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Lilianna Solnica-KrezelDepartment of Developmental Biology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Hugo J BellenDepartment of Molecular and Human Genetics, Baylor College of Medicine (BCM), Houston, TX, 77030, USA.
Monte WesterfieldInstitute of Neuroscience, University of Oregon, Eugene, OR, 97403, USA.
Baylor College of Medicine · USUniversity of Oregon · USWashington University in St. Louis · USHoward Hughes Medical Institute · US

Funding

Transposon induced disruption of most Drosophila genesR01GM067858 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI BELLEN, HUGO J · 2003 to 2020
$15.7M
Zebrafish CoreU54NS093793 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI BELLEN, HUGO J · 2015 to 2022
$7.5M
Expansion and characterization of the Drosophila Toolkit to study SARS-CoV-2R24OD022005 · OD · BAYLOR COLLEGE OF MEDICINE · PI BELLEN, HUGO J · 2016 to 2023
$7.4M
Resources for Teleost Gene Duplicates and Human DiseaseR01OD011116 · OD · UNIVERSITY OF OREGON · PI POSTLETHWAIT, JOHN H. · 2012 to 2020
$5.4M
Zebrafish Resource CoreU54NS108251 · NINDS · WASHINGTON UNIVERSITY · PI SCHEDL, TIM, SOLNICAKREZEL, LILIANNA · 2018 to 2022
$2.3M
Improving Strategies to Determine Pathogenicity of Variants of Uncertain SignificanceK08HG010154 · NHGRI · WASHINGTON UNIVERSITY · PI BALDRIDGE, DUSTIN M · 2019 to 2022
$625k
NHGRI NIH HHS K08 HG010154NHGRI NIH HHS K08HG010154NIGMS NIH HHS R01 GM067858NIGMS NIH HHS R01GM067858NIH HHS R01 OD011116NIH HHS R24 OD022005NINDS NIH HHS U54 NS093793
6 · The paper itself

Abstract

Decreased sequencing costs have led to an explosion of genetic and genomic data. These data have revealed thousands of candidate human disease variants. Establishing which variants cause phenotypes and diseases, however, has remained challenging. Significant progress has been made, including advances by the National Institutes of Health (NIH)-funded Undiagnosed Diseases Network (UDN). However, 6000-13,000 additional disease genes remain to be identified. The continued discovery of rare diseases and their genetic underpinnings provides benefits to affected patients, of whom there are more than 400 million worldwide, and also advances understanding the mechanisms of more common diseases. Platforms employing model organisms enable discovery of novel gene-disease relationships, help establish variant pathogenicity, and often lead to the exploration of underlying mechanisms of pathophysiology that suggest new therapies. The Model Organism Screening Center (MOSC) of the UDN is a unique resource dedicated to utilizing informatics and functional studies in model organisms, including worm (Caenorhabditis elegans), fly (Drosophila melanogaster), and zebrafish (Danio rerio), to aid in diagnosis. The MOSC has directly contributed to the diagnosis of challenging cases, including multiple patients with complex, multi-organ phenotypes. In addition, the MOSC provides a framework for how basic scientists and clinicians can collaborate to drive diagnoses. Customized experimental plans take into account patient presentations, specific genes and variant(s), and appropriateness of each model organism for analysis. The MOSC also generates bioinformatic and experimental tools and reagents for the wider scientific community. Two elements of the MOSC that have been instrumental in its success are (1) multidisciplinary teams with expertise in variant bioinformatics and in human and model organism genetics, and (2) mechanisms for ongoing communication with clinical teams. Here we provide a position statement regarding the central role of model organisms for continued discovery of disease genes, and we advocate for the continuation and expansion of MOSC-type research entities as a Model Organisms Network (MON) to be funded through grant applications submitted to the NIH, family groups focused on specific rare diseases, other philanthropic organizations, industry partnerships, and other sources of support.

Indexed as

Undiagnosed DiseasesAnimalsDrosophila melanogasterHumansPhenotypeRare DiseasesZebrafishC. elegansDrosophila melanogasterModel organismsUndiagnosed diseasesZebrafish

Identifiers

PMID33962631
PMCPMC8103593
OpenAlexW3157922328

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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 Socratic graph.