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MODY probability calculator for GCK and HNF1A screening in a multiethnic background population

OBJECTIVE: We aimed to identify the frequency of monogenic diabetes, which is poorly studied in multiethnic populations, due to GCK or HNF1A mutations in patients with suggestive clinical characteristics from the Brazilian population, as well as investigate if the MODY probability calculator (MPC) c...

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Autores principales: Tarantino, Roberta Magalhães, Abreu, Gabriella de Medeiros, de Fonseca, Ana Carolina Proença, Kupfer, Rosane, Pereira, Maria de Fátima Carvalho, Campos, Mario, Zajdenverg, Lenita, Rodacki, Melanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Endocrinologia e Metabologia 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522291/
https://www.ncbi.nlm.nih.gov/pubmed/31576961
http://dx.doi.org/10.20945/2359-3997000000173
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author Tarantino, Roberta Magalhães
Abreu, Gabriella de Medeiros
de Fonseca, Ana Carolina Proença
Kupfer, Rosane
Pereira, Maria de Fátima Carvalho
Campos, Mario
Zajdenverg, Lenita
Rodacki, Melanie
author_facet Tarantino, Roberta Magalhães
Abreu, Gabriella de Medeiros
de Fonseca, Ana Carolina Proença
Kupfer, Rosane
Pereira, Maria de Fátima Carvalho
Campos, Mario
Zajdenverg, Lenita
Rodacki, Melanie
author_sort Tarantino, Roberta Magalhães
collection PubMed
description OBJECTIVE: We aimed to identify the frequency of monogenic diabetes, which is poorly studied in multiethnic populations, due to GCK or HNF1A mutations in patients with suggestive clinical characteristics from the Brazilian population, as well as investigate if the MODY probability calculator (MPC) could help patients with their selection. SUBJECTS AND METHODS: Inclusion criteria were patients with DM diagnosed before 35 years; body mass index < 30 kg/m(2); negative autoantibodies; and family history of DM in two or more generations. We sequenced HNF1A in 27 patients and GCK in seven subjects with asymptomatic mild fasting hyperglycemia. In addition, we calculated MODY probability with MPC. RESULTS: We identified 11 mutations in 34 patients (32.3%). We found three novel mutations. In the GCK group, six cases had mutations (85.7%), and their MODY probability on MPC was higher than 50%. In the HNF1A group, five of 27 individuals had mutations (18.5%). The MPC was higher than 75% in 11 subjects (including all five cases with HNF1A mutations). CONCLUSION: Approximately one third of the studied patients have GCK or HNF1A mutations. Inclusion criteria included efficiency in detecting patients with GCK mutations but not for HNF1A mutations (< 20%). MPC was helpful in narrowing the number of candidates for HNF1A screening.
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spelling pubmed-105222912023-09-27 MODY probability calculator for GCK and HNF1A screening in a multiethnic background population Tarantino, Roberta Magalhães Abreu, Gabriella de Medeiros de Fonseca, Ana Carolina Proença Kupfer, Rosane Pereira, Maria de Fátima Carvalho Campos, Mario Zajdenverg, Lenita Rodacki, Melanie Arch Endocrinol Metab Original Article OBJECTIVE: We aimed to identify the frequency of monogenic diabetes, which is poorly studied in multiethnic populations, due to GCK or HNF1A mutations in patients with suggestive clinical characteristics from the Brazilian population, as well as investigate if the MODY probability calculator (MPC) could help patients with their selection. SUBJECTS AND METHODS: Inclusion criteria were patients with DM diagnosed before 35 years; body mass index < 30 kg/m(2); negative autoantibodies; and family history of DM in two or more generations. We sequenced HNF1A in 27 patients and GCK in seven subjects with asymptomatic mild fasting hyperglycemia. In addition, we calculated MODY probability with MPC. RESULTS: We identified 11 mutations in 34 patients (32.3%). We found three novel mutations. In the GCK group, six cases had mutations (85.7%), and their MODY probability on MPC was higher than 50%. In the HNF1A group, five of 27 individuals had mutations (18.5%). The MPC was higher than 75% in 11 subjects (including all five cases with HNF1A mutations). CONCLUSION: Approximately one third of the studied patients have GCK or HNF1A mutations. Inclusion criteria included efficiency in detecting patients with GCK mutations but not for HNF1A mutations (< 20%). MPC was helpful in narrowing the number of candidates for HNF1A screening. Sociedade Brasileira de Endocrinologia e Metabologia 2019-09-25 /pmc/articles/PMC10522291/ /pubmed/31576961 http://dx.doi.org/10.20945/2359-3997000000173 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Tarantino, Roberta Magalhães
Abreu, Gabriella de Medeiros
de Fonseca, Ana Carolina Proença
Kupfer, Rosane
Pereira, Maria de Fátima Carvalho
Campos, Mario
Zajdenverg, Lenita
Rodacki, Melanie
MODY probability calculator for GCK and HNF1A screening in a multiethnic background population
title MODY probability calculator for GCK and HNF1A screening in a multiethnic background population
title_full MODY probability calculator for GCK and HNF1A screening in a multiethnic background population
title_fullStr MODY probability calculator for GCK and HNF1A screening in a multiethnic background population
title_full_unstemmed MODY probability calculator for GCK and HNF1A screening in a multiethnic background population
title_short MODY probability calculator for GCK and HNF1A screening in a multiethnic background population
title_sort mody probability calculator for gck and hnf1a screening in a multiethnic background population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10522291/
https://www.ncbi.nlm.nih.gov/pubmed/31576961
http://dx.doi.org/10.20945/2359-3997000000173
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