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

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 advance...

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Autores principales: Baldridge, Dustin, Wangler, Michael F., Bowman, Angela N., Yamamoto, Shinya, Schedl, Tim, Pak, Stephen C., Postlethwait, John H., Shin, Jimann, Solnica-Krezel, Lilianna, Bellen, Hugo J., Westerfield, Monte
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103593/
https://www.ncbi.nlm.nih.gov/pubmed/33962631
http://dx.doi.org/10.1186/s13023-021-01839-9
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author Baldridge, Dustin
Wangler, Michael F.
Bowman, Angela N.
Yamamoto, Shinya
Schedl, Tim
Pak, Stephen C.
Postlethwait, John H.
Shin, Jimann
Solnica-Krezel, Lilianna
Bellen, Hugo J.
Westerfield, Monte
author_facet Baldridge, Dustin
Wangler, Michael F.
Bowman, Angela N.
Yamamoto, Shinya
Schedl, Tim
Pak, Stephen C.
Postlethwait, John H.
Shin, Jimann
Solnica-Krezel, Lilianna
Bellen, Hugo J.
Westerfield, Monte
author_sort Baldridge, Dustin
collection PubMed
description 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.
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spelling pubmed-81035932021-05-10 Model organisms contribute to diagnosis and discovery in the undiagnosed diseases network: current state and a future vision Baldridge, Dustin Wangler, Michael F. Bowman, Angela N. Yamamoto, Shinya Schedl, Tim Pak, Stephen C. Postlethwait, John H. Shin, Jimann Solnica-Krezel, Lilianna Bellen, Hugo J. Westerfield, Monte Orphanet J Rare Dis Position Statement 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. BioMed Central 2021-05-07 /pmc/articles/PMC8103593/ /pubmed/33962631 http://dx.doi.org/10.1186/s13023-021-01839-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Position Statement
Baldridge, Dustin
Wangler, Michael F.
Bowman, Angela N.
Yamamoto, Shinya
Schedl, Tim
Pak, Stephen C.
Postlethwait, John H.
Shin, Jimann
Solnica-Krezel, Lilianna
Bellen, Hugo J.
Westerfield, Monte
Model organisms contribute to diagnosis and discovery in the undiagnosed diseases network: current state and a future vision
title Model organisms contribute to diagnosis and discovery in the undiagnosed diseases network: current state and a future vision
title_full Model organisms contribute to diagnosis and discovery in the undiagnosed diseases network: current state and a future vision
title_fullStr Model organisms contribute to diagnosis and discovery in the undiagnosed diseases network: current state and a future vision
title_full_unstemmed Model organisms contribute to diagnosis and discovery in the undiagnosed diseases network: current state and a future vision
title_short Model organisms contribute to diagnosis and discovery in the undiagnosed diseases network: current state and a future vision
title_sort model organisms contribute to diagnosis and discovery in the undiagnosed diseases network: current state and a future vision
topic Position Statement
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103593/
https://www.ncbi.nlm.nih.gov/pubmed/33962631
http://dx.doi.org/10.1186/s13023-021-01839-9
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