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Monogenic Diabetes: A Diagnostic Algorithm for Clinicians

Monogenic forms of beta cell diabetes account for approximately 1%–2% of all cases of diabetes, yet remain underdiagnosed. Overlapping clinical features with common forms of diabetes, make diagnosis challenging. A genetic diagnosis of monogenic diabetes in many cases alters therapy, affects prognosi...

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Detalles Bibliográficos
Autores principales: Carroll, Richard W., Murphy, Rinki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927568/
https://www.ncbi.nlm.nih.gov/pubmed/24705260
http://dx.doi.org/10.3390/genes4040522
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author Carroll, Richard W.
Murphy, Rinki
author_facet Carroll, Richard W.
Murphy, Rinki
author_sort Carroll, Richard W.
collection PubMed
description Monogenic forms of beta cell diabetes account for approximately 1%–2% of all cases of diabetes, yet remain underdiagnosed. Overlapping clinical features with common forms of diabetes, make diagnosis challenging. A genetic diagnosis of monogenic diabetes in many cases alters therapy, affects prognosis, enables genetic counseling, and has implications for cascade screening of extended family members. We describe those types of monogenic beta cell diabetes which are recognisable by distinct clinical features and have implications for altered management; the cost effectiveness of making a genetic diagnosis in this setting; the use of complementary diagnostic tests to increase the yield among the vast majority of patients who will have commoner types of diabetes which are summarised in a clinical algorithm; and the vital role of cascade genetic testing to enhance case finding.
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spelling pubmed-39275682014-03-26 Monogenic Diabetes: A Diagnostic Algorithm for Clinicians Carroll, Richard W. Murphy, Rinki Genes (Basel) Review Monogenic forms of beta cell diabetes account for approximately 1%–2% of all cases of diabetes, yet remain underdiagnosed. Overlapping clinical features with common forms of diabetes, make diagnosis challenging. A genetic diagnosis of monogenic diabetes in many cases alters therapy, affects prognosis, enables genetic counseling, and has implications for cascade screening of extended family members. We describe those types of monogenic beta cell diabetes which are recognisable by distinct clinical features and have implications for altered management; the cost effectiveness of making a genetic diagnosis in this setting; the use of complementary diagnostic tests to increase the yield among the vast majority of patients who will have commoner types of diabetes which are summarised in a clinical algorithm; and the vital role of cascade genetic testing to enhance case finding. MDPI 2013-09-26 /pmc/articles/PMC3927568/ /pubmed/24705260 http://dx.doi.org/10.3390/genes4040522 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Review
Carroll, Richard W.
Murphy, Rinki
Monogenic Diabetes: A Diagnostic Algorithm for Clinicians
title Monogenic Diabetes: A Diagnostic Algorithm for Clinicians
title_full Monogenic Diabetes: A Diagnostic Algorithm for Clinicians
title_fullStr Monogenic Diabetes: A Diagnostic Algorithm for Clinicians
title_full_unstemmed Monogenic Diabetes: A Diagnostic Algorithm for Clinicians
title_short Monogenic Diabetes: A Diagnostic Algorithm for Clinicians
title_sort monogenic diabetes: a diagnostic algorithm for clinicians
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927568/
https://www.ncbi.nlm.nih.gov/pubmed/24705260
http://dx.doi.org/10.3390/genes4040522
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