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Variants influencing age at diagnosis of HNF1A-MODY
BACKGROUND: HNF1A-MODY is a monogenic form of diabetes caused by variants in the HNF1A gene. Different HNF1A variants are associated with differences in age of disease onset, but other factors are postulated to influence this trait. Here, we searched for genetic variants influencing age of HNF1A-MOD...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9476297/ https://www.ncbi.nlm.nih.gov/pubmed/36104811 http://dx.doi.org/10.1186/s10020-022-00542-0 |
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author | Ludwig-Słomczyńska, Agnieszka H. Seweryn, Michał T. Radkowski, Piotr Kapusta, Przemysław Machlowska, Julita Pruhova, Stepanka Gasperikova, Daniela Bellanne-Chantelot, Christine Hattersley, Andrew Kandasamy, Balamurugan Letourneau-Freiberg, Lisa Philipson, Louis Doria, Alessandro Wołkow, Paweł P. Małecki, Maciej T. Klupa, Tomasz |
author_facet | Ludwig-Słomczyńska, Agnieszka H. Seweryn, Michał T. Radkowski, Piotr Kapusta, Przemysław Machlowska, Julita Pruhova, Stepanka Gasperikova, Daniela Bellanne-Chantelot, Christine Hattersley, Andrew Kandasamy, Balamurugan Letourneau-Freiberg, Lisa Philipson, Louis Doria, Alessandro Wołkow, Paweł P. Małecki, Maciej T. Klupa, Tomasz |
author_sort | Ludwig-Słomczyńska, Agnieszka H. |
collection | PubMed |
description | BACKGROUND: HNF1A-MODY is a monogenic form of diabetes caused by variants in the HNF1A gene. Different HNF1A variants are associated with differences in age of disease onset, but other factors are postulated to influence this trait. Here, we searched for genetic variants influencing age of HNF1A-MODY onset. METHODS: Blood samples from 843 HNF1A-MODY patients from Czech Republic, France, Poland, Slovakia, the UK and the US were collected. A validation set consisted of 121 patients from the US. We conducted a genome-wide association study in 843 HNF1A-MODY patients. Samples were genotyped using Illumina Human Core arrays. The core analysis was performed using the GENESIS package in R statistical software. Kinship coefficients were estimated with the KING and PC-Relate algorithms. In the linear mixed model, we accounted for year of birth, sex, and location of the HNF1A causative variant. RESULTS: A suggestive association with age of disease onset was observed for rs2305198 (p = 2.09E−07) and rs7079157 (p = 3.96E−06) in the HK1 gene, rs2637248 in the LRMDA gene (p = 2.44E−05), and intergenic variant rs2825115 (p = 2.04E−05). Variant rs2637248 reached nominal significance (p = 0.019), while rs7079157 (p = 0.058) and rs2825115 (p = 0.068) showed suggestive association with age at diabetes onset in the validation set. CONCLUSIONS: rs2637248 in the LRMDA gene is associated with age at diabetes onset in HNF1A-MODY patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10020-022-00542-0. |
format | Online Article Text |
id | pubmed-9476297 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94762972022-09-16 Variants influencing age at diagnosis of HNF1A-MODY Ludwig-Słomczyńska, Agnieszka H. Seweryn, Michał T. Radkowski, Piotr Kapusta, Przemysław Machlowska, Julita Pruhova, Stepanka Gasperikova, Daniela Bellanne-Chantelot, Christine Hattersley, Andrew Kandasamy, Balamurugan Letourneau-Freiberg, Lisa Philipson, Louis Doria, Alessandro Wołkow, Paweł P. Małecki, Maciej T. Klupa, Tomasz Mol Med Research Article BACKGROUND: HNF1A-MODY is a monogenic form of diabetes caused by variants in the HNF1A gene. Different HNF1A variants are associated with differences in age of disease onset, but other factors are postulated to influence this trait. Here, we searched for genetic variants influencing age of HNF1A-MODY onset. METHODS: Blood samples from 843 HNF1A-MODY patients from Czech Republic, France, Poland, Slovakia, the UK and the US were collected. A validation set consisted of 121 patients from the US. We conducted a genome-wide association study in 843 HNF1A-MODY patients. Samples were genotyped using Illumina Human Core arrays. The core analysis was performed using the GENESIS package in R statistical software. Kinship coefficients were estimated with the KING and PC-Relate algorithms. In the linear mixed model, we accounted for year of birth, sex, and location of the HNF1A causative variant. RESULTS: A suggestive association with age of disease onset was observed for rs2305198 (p = 2.09E−07) and rs7079157 (p = 3.96E−06) in the HK1 gene, rs2637248 in the LRMDA gene (p = 2.44E−05), and intergenic variant rs2825115 (p = 2.04E−05). Variant rs2637248 reached nominal significance (p = 0.019), while rs7079157 (p = 0.058) and rs2825115 (p = 0.068) showed suggestive association with age at diabetes onset in the validation set. CONCLUSIONS: rs2637248 in the LRMDA gene is associated with age at diabetes onset in HNF1A-MODY patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s10020-022-00542-0. BioMed Central 2022-09-14 /pmc/articles/PMC9476297/ /pubmed/36104811 http://dx.doi.org/10.1186/s10020-022-00542-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Ludwig-Słomczyńska, Agnieszka H. Seweryn, Michał T. Radkowski, Piotr Kapusta, Przemysław Machlowska, Julita Pruhova, Stepanka Gasperikova, Daniela Bellanne-Chantelot, Christine Hattersley, Andrew Kandasamy, Balamurugan Letourneau-Freiberg, Lisa Philipson, Louis Doria, Alessandro Wołkow, Paweł P. Małecki, Maciej T. Klupa, Tomasz Variants influencing age at diagnosis of HNF1A-MODY |
title | Variants influencing age at diagnosis of HNF1A-MODY |
title_full | Variants influencing age at diagnosis of HNF1A-MODY |
title_fullStr | Variants influencing age at diagnosis of HNF1A-MODY |
title_full_unstemmed | Variants influencing age at diagnosis of HNF1A-MODY |
title_short | Variants influencing age at diagnosis of HNF1A-MODY |
title_sort | variants influencing age at diagnosis of hnf1a-mody |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9476297/ https://www.ncbi.nlm.nih.gov/pubmed/36104811 http://dx.doi.org/10.1186/s10020-022-00542-0 |
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