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Functional Analyses of HNF1A-MODY Variants Refine the Interpretation of Identified Sequence Variants
J. Malikova, A. Kaci, P. Dusatkova, I. Aukrust, J. Torsvik, K. Vesela, PD. Kankova, PR. Njølstad, S. Pruhova, L. Bjørkhaug
Language English Country United States
Document type Journal Article, Research Support, Non-U.S. Gov't
NLK
Free Medical Journals
from 1997 to 1 year ago
ProQuest Central
from 2017-01-01 to 2020-12-31
Health & Medicine (ProQuest)
from 2017-01-01 to 2020-12-31
- MeSH
- Biomarkers analysis MeSH
- Diabetes Mellitus, Type 1 genetics metabolism pathology MeSH
- Diabetes Mellitus, Type 2 genetics metabolism pathology MeSH
- Adult MeSH
- Phenotype MeSH
- Hepatocyte Nuclear Factor 1-alpha genetics MeSH
- Humans MeSH
- Mutation * MeSH
- Follow-Up Studies MeSH
- Prognosis MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
CONTEXT: While rare variants of the hepatocyte nuclear factor-1 alpha (HNF1A) gene can cause maturity-onset diabetes of the young (HNF1A-MODY), other variants can be risk factors for the development of type 2 diabetes. As has been suggested by the American College of Medical Genetics (ACMG) guidelines for variant interpretation, functional studies provide strong evidence to classify a variant as pathogenic. OBJECTIVE: We hypothesized that a functional evaluation can improve the interpretation of the HNF1A variants in our Czech MODY Registry. DESIGN, SETTINGS, AND PARTICIPANTS: We studied 17 HNF1A variants that were identified in 48 individuals (33 female/15 male) from 20 Czech families with diabetes, using bioinformatics in silico tools and functional protein analyses (transactivation, protein expression, DNA binding, and nuclear localization). RESULTS: Of the 17 variants, 12 variants (p.Lys120Glu, p.Gln130Glu, p.Arg131Pro, p.Leu139Pro, p.Met154Ile, p.Gln170Ter, p.Glu187SerfsTer40, p.Phe215SerfsTer18, p.Gly253Arg, p.Leu383ArgfsTer3, p.Gly437Val, and p.Thr563HisfsTer85) exhibited significantly reduced transcriptional activity or DNA binding (< 40%) and were classified as (likely) pathogenic, 2/17 variants were (likely) benign and 3/17 remained of uncertain significance. Functional analyses allowed for the reclassification of 10/17 variants (59%). Diabetes treatment was improved in 20/29 (69%) carriers of (likely) pathogenic HNF1A variants. CONCLUSION: Functional evaluation of the HNF1A variants is necessary to better predict the pathogenic effects and to improve the diagnostic interpretation and treatment, particularly in cases where the cosegregation or family history data are not available or where the phenotype is more diverse and overlaps with other types of diabetes.
Department of Medical Genetics Haukeland University Hospital Bergen Norway
Department of Pediatrics and Adolescents Haukeland University Hospital Bergen Norway
KG Jebsen Center for Diabetes Research Department of Clinical Science Bergen Norway
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- $a CONTEXT: While rare variants of the hepatocyte nuclear factor-1 alpha (HNF1A) gene can cause maturity-onset diabetes of the young (HNF1A-MODY), other variants can be risk factors for the development of type 2 diabetes. As has been suggested by the American College of Medical Genetics (ACMG) guidelines for variant interpretation, functional studies provide strong evidence to classify a variant as pathogenic. OBJECTIVE: We hypothesized that a functional evaluation can improve the interpretation of the HNF1A variants in our Czech MODY Registry. DESIGN, SETTINGS, AND PARTICIPANTS: We studied 17 HNF1A variants that were identified in 48 individuals (33 female/15 male) from 20 Czech families with diabetes, using bioinformatics in silico tools and functional protein analyses (transactivation, protein expression, DNA binding, and nuclear localization). RESULTS: Of the 17 variants, 12 variants (p.Lys120Glu, p.Gln130Glu, p.Arg131Pro, p.Leu139Pro, p.Met154Ile, p.Gln170Ter, p.Glu187SerfsTer40, p.Phe215SerfsTer18, p.Gly253Arg, p.Leu383ArgfsTer3, p.Gly437Val, and p.Thr563HisfsTer85) exhibited significantly reduced transcriptional activity or DNA binding (< 40%) and were classified as (likely) pathogenic, 2/17 variants were (likely) benign and 3/17 remained of uncertain significance. Functional analyses allowed for the reclassification of 10/17 variants (59%). Diabetes treatment was improved in 20/29 (69%) carriers of (likely) pathogenic HNF1A variants. CONCLUSION: Functional evaluation of the HNF1A variants is necessary to better predict the pathogenic effects and to improve the diagnostic interpretation and treatment, particularly in cases where the cosegregation or family history data are not available or where the phenotype is more diverse and overlaps with other types of diabetes.
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