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The use of precision diagnostics for monogenic diabetes: a systematic review and expert opinion
by
Colclough, Kevin
, Molnes, Janne
, Aukrust, Ingvild
, de Franco, Elisa
, Billings, Liana K.
, Owen, Katharine R.
, Gloyn, Anna L.
, Misra, Shivani
, Maloney, Kristin A.
, Flanagan, Sarah E.
, Saint-Martin, Cécile
, Svalastoga, Pernille
, Murphy, Rinki
, Pollin, Toni I.
, Njølstad, Pål R.
, Ikle, Jennifer M.
in
631/208/1516
/ 692/163/2743/137
/ Diabetes
/ Genes
/ Genetic testing
/ Genomes
/ Insulin
/ Medicine
/ Medicine & Public Health
/ Precision medicine
/ Systematic review
2023
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The use of precision diagnostics for monogenic diabetes: a systematic review and expert opinion
by
Colclough, Kevin
, Molnes, Janne
, Aukrust, Ingvild
, de Franco, Elisa
, Billings, Liana K.
, Owen, Katharine R.
, Gloyn, Anna L.
, Misra, Shivani
, Maloney, Kristin A.
, Flanagan, Sarah E.
, Saint-Martin, Cécile
, Svalastoga, Pernille
, Murphy, Rinki
, Pollin, Toni I.
, Njølstad, Pål R.
, Ikle, Jennifer M.
in
631/208/1516
/ 692/163/2743/137
/ Diabetes
/ Genes
/ Genetic testing
/ Genomes
/ Insulin
/ Medicine
/ Medicine & Public Health
/ Precision medicine
/ Systematic review
2023
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
The use of precision diagnostics for monogenic diabetes: a systematic review and expert opinion
by
Colclough, Kevin
, Molnes, Janne
, Aukrust, Ingvild
, de Franco, Elisa
, Billings, Liana K.
, Owen, Katharine R.
, Gloyn, Anna L.
, Misra, Shivani
, Maloney, Kristin A.
, Flanagan, Sarah E.
, Saint-Martin, Cécile
, Svalastoga, Pernille
, Murphy, Rinki
, Pollin, Toni I.
, Njølstad, Pål R.
, Ikle, Jennifer M.
in
631/208/1516
/ 692/163/2743/137
/ Diabetes
/ Genes
/ Genetic testing
/ Genomes
/ Insulin
/ Medicine
/ Medicine & Public Health
/ Precision medicine
/ Systematic review
2023
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The use of precision diagnostics for monogenic diabetes: a systematic review and expert opinion
Journal Article
The use of precision diagnostics for monogenic diabetes: a systematic review and expert opinion
2023
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Overview
Background
Monogenic diabetes presents opportunities for precision medicine but is underdiagnosed. This review systematically assessed the evidence for (1) clinical criteria and (2) methods for genetic testing for monogenic diabetes, summarized resources for (3) considering a gene or (4) variant as causal for monogenic diabetes, provided expert recommendations for (5) reporting of results; and reviewed (6) next steps after monogenic diabetes diagnosis and (7) challenges in precision medicine field.
Methods
Pubmed and Embase databases were searched (1990-2022) using inclusion/exclusion criteria for studies that sequenced one or more monogenic diabetes genes in at least 100 probands (Question 1), evaluated a non-obsolete genetic testing method to diagnose monogenic diabetes (Question 2). The risk of bias was assessed using the revised QUADAS-2 tool. Existing guidelines were summarized for questions 3-5, and review of studies for questions 6-7, supplemented by expert recommendations. Results were summarized in tables and informed recommendations for clinical practice.
Results
There are 100, 32, 36, and 14 studies included for questions 1, 2, 6, and 7 respectively. On this basis, four recommendations for who to test and five on how to test for monogenic diabetes are provided. Existing guidelines for variant curation and gene-disease validity curation are summarized. Reporting by gene names is recommended as an alternative to the term MODY. Key steps after making a genetic diagnosis and major gaps in our current knowledge are highlighted.
Conclusions
We provide a synthesis of current evidence and expert opinion on how to use precision diagnostics to identify individuals with monogenic diabetes.
Plain Language Summary
Some diabetes types, called monogenic diabetes, are caused by changes in a single gene. It is important to know who has this kind of diabetes because treatment can differ from that of other types of diabetes. Some treatments also work better than others for specific types, and some people can for example change from insulin injections to tablets. In addition, relatives can be offered a test to see if they are at risk. Genetic testing is needed to diagnose monogenic diabetes but is expensive, so it’s not possible to test every person with diabetes for it. We evaluated published research on who should be tested and what test to use. Based on this, we provide recommendations for doctors and health care providers on how to implement genetic testing for monogenic diabetes.
Murphy, Kevin, Pollin et al. perform a systematic review of the evidence on the criteria used to select individuals with diabetes for genetic testing and of the evidence for the optimal methods for variant detection in genes involved in monogenic diabetes. Based on the findings the authors make recommendations and highlight challenges for the field.
Publisher
Nature Publishing Group UK,Springer Nature B.V,Nature Portfolio
Subject
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