Monogenic diabetes in New Zealand-An audit based revision of the monogenic diabetes genetic testing pathway in New Zealand

被引:4
作者
Harrington, Francesca [1 ]
Greenslade, Mark [1 ]
Colclough, Kevin [2 ]
Paul, Ryan [3 ]
Jefferies, Craig [4 ,5 ]
Murphy, Rinki [6 ]
机构
[1] Te Whatu Ora Hlth New Zealand, Dept Pathol & Lab Med, Diagnost Genet, Auckland, New Zealand
[2] Royal Devon Univ Healthcare, Natl Hlth Serv NHS Fdn Trust, Exeter Genom Lab, Exeter, England
[3] Univ Waikato, Te Huataki Waiora Sch Hlth, Hamilton, New Zealand
[4] Te Toka Tumai Auckland, Starship Childrens Hlth, Te Whatu Ora Hlth New Zealand, Auckland, New Zealand
[5] Univ Auckland, Liggins Inst, Auckland, New Zealand
[6] Univ Auckland, Dept Med, Auckland, New Zealand
关键词
monogenic diabetes; New Zealand; MODY; genomics; genetic testing; Aotearoa (New Zealand); YOUNG; MODY; MUTATIONS; INCREASE; STRATEGY;
D O I
10.3389/fendo.2023.1116880
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
AimsTo evaluate (a) the diagnostic yield of genetic testing for monogenic diabetes when using single gene and gene panel-based testing approaches in the New Zealand (NZ) population, (b) whether the MODY (Maturity Onset Diabetes of the Young) pre-test probability calculator can be used to guide referrals for testing in NZ, (c) the number of referrals for testing for Maori/Pacific ethnicities compared to NZ European, and (d) the volume of proband vs cascade tests being requested. MethodsA retrospective audit of 495 referrals, from NZ, for testing of monogenic diabetes genes was performed. Referrals sent to LabPlus (Auckland) laboratory for single gene testing or small multi-gene panel testing, or to the Exeter Genomics Laboratory, UK, for a large gene panel, received from January 2014 - December 2021 were included. Detection rates of single gene, small multi-gene and large gene panels (neonatal and non-neonatal), and cascade testing were analysed. Pre-test probability was calculated using the Exeter MODY probability calculator and ethnicity data was also collected. ResultsThe diagnostic detection rate varied across genes, from 32% in GCK, to 2% in HNF4A, with single gene or small gene panel testing averaging a 12% detection rate. Detection rate by type of panel was 9% for small gene panel, 23% for non-neonatal monogenic diabetes large gene panel and 40% for neonatal monogenic diabetes large gene panel. 45% (67/147) of patients aged 1-35 years at diabetes diagnosis scored < 20% on MODY pre-test probability, of whom 3 had class 4/5 variants in HNF1A, HNF4A or HNF1B. Ethnicity data of those selected for genetic testing correlated with population diabetes prevalence for Maori (15% vs 16%), but Pacific People appeared under-represented (8% vs 14%). Only 1 in 6 probands generated a cascade test. ConclusionsA new monogenic diabetes testing algorithm for NZ is proposed, which directs clinicians to choose a large gene panel in patients without syndromic features who score a pre-test MODY probability of above 20%.
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页数:10
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