Literature DB >> 35061023

Improvements in Awareness and Testing Have Led to a Threefold Increase Over 10 Years in the Identification of Monogenic Diabetes in the U.K.

Lewis Pang1, Kevin C Colclough1, Maggie H Shepherd2,3, Joanne McLean4, Ewan R Pearson4, Sian Ellard1, Andrew T Hattersley2,3, Beverley M Shields2,3.   

Abstract

OBJECTIVE: Maturity-onset diabetes of the young (MODY) is a rare monogenic form of diabetes. In 2009, >80% of U.K. cases were estimated to be misdiagnosed. Since then, there have been a number of initiatives to improve the awareness and detection of MODY, including education initiatives (Genetic Diabetes Nurse [GDN] project), the MODY probability calculator, and targeted next-generation sequencing (tNGS). We examined how the estimated prevalence of MODY and other forms of monogenic diabetes diagnosed outside the neonatal period has changed over time and how the initiatives have impacted case finding. RESEARCH DESIGN AND METHODS: U.K. referrals for genetic testing for monogenic diabetes diagnosed >1 year of age from 1 January 1996 to 31 December 2019 were examined. Positive test rates were compared for referrals reporting GDN involvement/MODY calculator use with those that did not.
RESULTS: A diagnosis of monogenic diabetes was confirmed in 3,860 individuals, more than threefold higher than 2009 (1 January 1996 to 28 February 2009, n = 1,177). Median age at diagnosis in probands was 21 years. GDN involvement was reported in 21% of referrals; these referrals had a higher positive test rate than those without GDN involvement (32% vs. 23%, P < 0.001). MODY calculator usage was indicated in 74% of eligible referrals since 2014; these referrals had a higher positive test rate than those not using the calculator (33% vs. 25%, P = 0.001). Four hundred ten (10.6%) cases were identified through tNGS. Monogenic diabetes prevalence was estimated to be 248 cases/million (double that estimated in 2009 because of increased case finding).
CONCLUSIONS: Since 2009, referral rates and case diagnosis have increased threefold. This is likely to be the consequence of tNGS, GDN education, and use of the MODY calculator.
© 2022 by the American Diabetes Association.

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Year:  2022        PMID: 35061023      PMCID: PMC7612472          DOI: 10.2337/dc21-2056

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  21 in total

1.  Maturity-onset diabetes of the young (MODY): how many cases are we missing?

Authors:  B M Shields; S Hicks; M H Shepherd; K Colclough; A T Hattersley; S Ellard
Journal:  Diabetologia       Date:  2010-05-25       Impact factor: 10.122

2.  Comprehensive genetic screening: The prevalence of maturity-onset diabetes of the young gene variants in a population-based childhood diabetes cohort.

Authors:  Stephanie R Johnson; Jonathan J Ellis; Paul J Leo; Lisa K Anderson; Uma Ganti; Jessica E Harris; Jacqueline A Curran; Aideen M McInerney-Leo; Nirubasini Paramalingam; Xiaoxia Song; Louise S Conwell; Mark Harris; Timothy W Jones; Matthew A Brown; Elizabeth A Davis; Emma L Duncan
Journal:  Pediatr Diabetes       Date:  2018-11-14       Impact factor: 4.866

3.  Increased all-cause and cardiovascular mortality in monogenic diabetes as a result of mutations in the HNF1A gene.

Authors:  A M Steele; B M Shields; M Shepherd; S Ellard; A T Hattersley; E R Pearson
Journal:  Diabet Med       Date:  2010-02       Impact factor: 4.359

Review 4.  Clinical Management of Women with Monogenic Diabetes During Pregnancy.

Authors:  Laura T Dickens; Rochelle N Naylor
Journal:  Curr Diab Rep       Date:  2018-02-15       Impact factor: 4.810

Review 5.  Diagnosis and management of maturity onset diabetes of the young (MODY).

Authors:  Gaya Thanabalasingham; Katharine R Owen
Journal:  BMJ       Date:  2011-10-19

6.  Systematic Population Screening, Using Biomarkers and Genetic Testing, Identifies 2.5% of the U.K. Pediatric Diabetes Population With Monogenic Diabetes.

Authors:  Maggie Shepherd; Beverley Shields; Suzanne Hammersley; Michelle Hudson; Timothy J McDonald; Kevin Colclough; Richard A Oram; Bridget Knight; Christopher Hyde; Julian Cox; Katherine Mallam; Christopher Moudiotis; Rebecca Smith; Barbara Fraser; Simon Robertson; Stephen Greene; Sian Ellard; Ewan R Pearson; Andrew T Hattersley
Journal:  Diabetes Care       Date:  2016-06-06       Impact factor: 19.112

7.  Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.

Authors:  Sue Richards; Nazneen Aziz; Sherri Bale; David Bick; Soma Das; Julie Gastier-Foster; Wayne W Grody; Madhuri Hegde; Elaine Lyon; Elaine Spector; Karl Voelkerding; Heidi L Rehm
Journal:  Genet Med       Date:  2015-03-05       Impact factor: 8.822

Review 8.  Management of sulfonylurea-treated monogenic diabetes in pregnancy: implications of placental glibenclamide transfer.

Authors:  M Shepherd; A J Brook; A J Chakera; A T Hattersley
Journal:  Diabet Med       Date:  2017-06-13       Impact factor: 4.359

9.  Prevalence of vascular complications among patients with glucokinase mutations and prolonged, mild hyperglycemia.

Authors:  Anna M Steele; Beverley M Shields; Kirsty J Wensley; Kevin Colclough; Sian Ellard; Andrew T Hattersley
Journal:  JAMA       Date:  2014-01-15       Impact factor: 56.272

10.  Improved genetic testing for monogenic diabetes using targeted next-generation sequencing.

Authors:  S Ellard; H Lango Allen; E De Franco; S E Flanagan; G Hysenaj; K Colclough; J A L Houghton; M Shepherd; A T Hattersley; M N Weedon; R Caswell
Journal:  Diabetologia       Date:  2013-06-15       Impact factor: 10.122

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  1 in total

1.  Maturity-onset diabetes of the young in a large Portuguese cohort.

Authors:  Sílvia Santos Monteiro; Tiago da Silva Santos; Liliana Fonseca; Guilherme Assunção; Ana M Lopes; Diana B Duarte; Ana Rita Soares; Francisco Laranjeira; Isaura Ribeiro; Eugénia Pinto; Sónia Rocha; Sofia Barbosa Gouveia; María Eugenia Vazquez-Mosquera; Maria João Oliveira; Teresa Borges; Maria Helena Cardoso
Journal:  Acta Diabetol       Date:  2022-10-08       Impact factor: 4.087

  1 in total

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