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

ABSTRACT 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 calculat...

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Main Authors: Roberta Magalhães Tarantino, Gabriella de Medeiros Abreu, Ana Carolina Proença de Fonseca, Rosane Kupfer, Maria de Fátima Carvalho Pereira, Mario Campos Júnior, Lenita Zajdenverg, Melanie Rodacki
Format: Article
Language:English
Published: Brazilian Society of Endocrinology and Metabolism
Series:Archives of Endocrinology and Metabolism
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019005008101&lng=en&tlng=en
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author Roberta Magalhães Tarantino
Gabriella de Medeiros Abreu
Ana Carolina Proença de Fonseca
Rosane Kupfer
Maria de Fátima Carvalho Pereira
Mario Campos Júnior
Lenita Zajdenverg
Melanie Rodacki
author_facet Roberta Magalhães Tarantino
Gabriella de Medeiros Abreu
Ana Carolina Proença de Fonseca
Rosane Kupfer
Maria de Fátima Carvalho Pereira
Mario Campos Júnior
Lenita Zajdenverg
Melanie Rodacki
author_sort Roberta Magalhães Tarantino
collection DOAJ
description ABSTRACT 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/m2; 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 doaj.art-82cfe7e7957049dd99b1ebcbb3c2fbeb2022-12-21T18:23:19ZengBrazilian Society of Endocrinology and MetabolismArchives of Endocrinology and Metabolism2359-429210.20945/2359-3997000000173S2359-39972019005008101MODY probability calculator for GCK and HNF1A screening in a multiethnic background populationRoberta Magalhães TarantinoGabriella de Medeiros AbreuAna Carolina Proença de FonsecaRosane KupferMaria de Fátima Carvalho PereiraMario Campos JúniorLenita ZajdenvergMelanie RodackiABSTRACT 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/m2; 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019005008101&lng=en&tlng=enGCKHNF1AMODYmonogenic diabetes
spellingShingle Roberta Magalhães Tarantino
Gabriella de Medeiros Abreu
Ana Carolina Proença de Fonseca
Rosane Kupfer
Maria de Fátima Carvalho Pereira
Mario Campos Júnior
Lenita Zajdenverg
Melanie Rodacki
MODY probability calculator for GCK and HNF1A screening in a multiethnic background population
Archives of Endocrinology and Metabolism
GCK
HNF1A
MODY
monogenic diabetes
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 GCK
HNF1A
MODY
monogenic diabetes
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2359-39972019005008101&lng=en&tlng=en
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