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A Systematic Review of the use of Precision Diagnostics in Monogenic Diabetes

Monogenic forms of diabetes present opportunities for precision medicine as identification of the underlying genetic cause has implications for treatment and prognosis. However, genetic testing remains inconsistent across countries and health providers, often resulting in both missed diagnosis and m...

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Autores principales: Murphy, Rinki, Colclough, Kevin, Pollin, Toni I., Ikle, Jennifer M., Svalastoga, Pernille, Maloney, Kristin A., Saint-Martin, Cécile, Molnes, Janne, Misra, Shivani, Aukrust, Ingvild, de Franco, aiElisa, Flanagan, Sarah E., Njølstad, Pål R., Billings, Liana K., Owen, Katharine R, Gloyn, Anna L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153302/
https://www.ncbi.nlm.nih.gov/pubmed/37131594
http://dx.doi.org/10.1101/2023.04.15.23288269
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author Murphy, Rinki
Colclough, Kevin
Pollin, Toni I.
Ikle, Jennifer M.
Svalastoga, Pernille
Maloney, Kristin A.
Saint-Martin, Cécile
Molnes, Janne
Misra, Shivani
Aukrust, Ingvild
de Franco, aiElisa
Flanagan, Sarah E.
Njølstad, Pål R.
Billings, Liana K.
Owen, Katharine R
Gloyn, Anna L
author_facet Murphy, Rinki
Colclough, Kevin
Pollin, Toni I.
Ikle, Jennifer M.
Svalastoga, Pernille
Maloney, Kristin A.
Saint-Martin, Cécile
Molnes, Janne
Misra, Shivani
Aukrust, Ingvild
de Franco, aiElisa
Flanagan, Sarah E.
Njølstad, Pål R.
Billings, Liana K.
Owen, Katharine R
Gloyn, Anna L
author_sort Murphy, Rinki
collection PubMed
description Monogenic forms of diabetes present opportunities for precision medicine as identification of the underlying genetic cause has implications for treatment and prognosis. However, genetic testing remains inconsistent across countries and health providers, often resulting in both missed diagnosis and misclassification of diabetes type. One of the barriers to deploying genetic testing is uncertainty over whom to test as the clinical features for monogenic diabetes overlap with those for both type 1 and type 2 diabetes. In this review, we perform a systematic evaluation of the evidence for the clinical and biochemical criteria used to guide selection of individuals with diabetes for genetic testing and review the evidence for the optimal methods for variant detection in genes involved in monogenic diabetes. In parallel we revisit the current clinical guidelines for genetic testing for monogenic diabetes and provide expert opinion on the interpretation and reporting of genetic tests. We provide a series of recommendations for the field informed by our systematic review, synthesizing evidence, and expert opinion. Finally, we identify major challenges for the field and highlight areas for future research and investment to support wider implementation of precision diagnostics for monogenic diabetes.
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spelling pubmed-101533022023-05-03 A Systematic Review of the use of Precision Diagnostics in Monogenic Diabetes Murphy, Rinki Colclough, Kevin Pollin, Toni I. Ikle, Jennifer M. Svalastoga, Pernille Maloney, Kristin A. Saint-Martin, Cécile Molnes, Janne Misra, Shivani Aukrust, Ingvild de Franco, aiElisa Flanagan, Sarah E. Njølstad, Pål R. Billings, Liana K. Owen, Katharine R Gloyn, Anna L medRxiv Article Monogenic forms of diabetes present opportunities for precision medicine as identification of the underlying genetic cause has implications for treatment and prognosis. However, genetic testing remains inconsistent across countries and health providers, often resulting in both missed diagnosis and misclassification of diabetes type. One of the barriers to deploying genetic testing is uncertainty over whom to test as the clinical features for monogenic diabetes overlap with those for both type 1 and type 2 diabetes. In this review, we perform a systematic evaluation of the evidence for the clinical and biochemical criteria used to guide selection of individuals with diabetes for genetic testing and review the evidence for the optimal methods for variant detection in genes involved in monogenic diabetes. In parallel we revisit the current clinical guidelines for genetic testing for monogenic diabetes and provide expert opinion on the interpretation and reporting of genetic tests. We provide a series of recommendations for the field informed by our systematic review, synthesizing evidence, and expert opinion. Finally, we identify major challenges for the field and highlight areas for future research and investment to support wider implementation of precision diagnostics for monogenic diabetes. Cold Spring Harbor Laboratory 2023-04-19 /pmc/articles/PMC10153302/ /pubmed/37131594 http://dx.doi.org/10.1101/2023.04.15.23288269 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Murphy, Rinki
Colclough, Kevin
Pollin, Toni I.
Ikle, Jennifer M.
Svalastoga, Pernille
Maloney, Kristin A.
Saint-Martin, Cécile
Molnes, Janne
Misra, Shivani
Aukrust, Ingvild
de Franco, aiElisa
Flanagan, Sarah E.
Njølstad, Pål R.
Billings, Liana K.
Owen, Katharine R
Gloyn, Anna L
A Systematic Review of the use of Precision Diagnostics in Monogenic Diabetes
title A Systematic Review of the use of Precision Diagnostics in Monogenic Diabetes
title_full A Systematic Review of the use of Precision Diagnostics in Monogenic Diabetes
title_fullStr A Systematic Review of the use of Precision Diagnostics in Monogenic Diabetes
title_full_unstemmed A Systematic Review of the use of Precision Diagnostics in Monogenic Diabetes
title_short A Systematic Review of the use of Precision Diagnostics in Monogenic Diabetes
title_sort systematic review of the use of precision diagnostics in monogenic diabetes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153302/
https://www.ncbi.nlm.nih.gov/pubmed/37131594
http://dx.doi.org/10.1101/2023.04.15.23288269
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