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Comprehensive genomic analysis identifies pathogenic variants in maturity-onset diabetes of the young (MODY) patients in South India
BACKGROUND: Maturity-onset diabetes of the young (MODY) is an early-onset, autosomal dominant form of non-insulin dependent diabetes. Genetic diagnosis of MODY can transform patient management. Earlier data on the genetic predisposition to MODY have come primarily from familial studies in population...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811965/ https://www.ncbi.nlm.nih.gov/pubmed/29439679 http://dx.doi.org/10.1186/s12881-018-0528-6 |
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author | Mohan, Viswanathan Radha, Venkatesan Nguyen, Thong T. Stawiski, Eric W. Pahuja, Kanika Bajaj Goldstein, Leonard D. Tom, Jennifer Anjana, Ranjit Mohan Kong-Beltran, Monica Bhangale, Tushar Jahnavi, Suresh Chandni, Radhakrishnan Gayathri, Vijay George, Paul Zhang, Na Murugan, Sakthivel Phalke, Sameer Chaudhuri, Subhra Gupta, Ravi Zhang, Jingli Santhosh, Sam Stinson, Jeremy Modrusan, Zora Ramprasad, V. L. Seshagiri, Somasekar Peterson, Andrew S. |
author_facet | Mohan, Viswanathan Radha, Venkatesan Nguyen, Thong T. Stawiski, Eric W. Pahuja, Kanika Bajaj Goldstein, Leonard D. Tom, Jennifer Anjana, Ranjit Mohan Kong-Beltran, Monica Bhangale, Tushar Jahnavi, Suresh Chandni, Radhakrishnan Gayathri, Vijay George, Paul Zhang, Na Murugan, Sakthivel Phalke, Sameer Chaudhuri, Subhra Gupta, Ravi Zhang, Jingli Santhosh, Sam Stinson, Jeremy Modrusan, Zora Ramprasad, V. L. Seshagiri, Somasekar Peterson, Andrew S. |
author_sort | Mohan, Viswanathan |
collection | PubMed |
description | BACKGROUND: Maturity-onset diabetes of the young (MODY) is an early-onset, autosomal dominant form of non-insulin dependent diabetes. Genetic diagnosis of MODY can transform patient management. Earlier data on the genetic predisposition to MODY have come primarily from familial studies in populations of European origin. METHODS: In this study, we carried out a comprehensive genomic analysis of 289 individuals from India that included 152 clinically diagnosed MODY cases to identify variants in known MODY genes. Further, we have analyzed exome data to identify putative MODY relevant variants in genes previously not implicated in MODY. Functional validation of MODY relevant variants was also performed. RESULTS: We found MODY 3 (HNF1A; 7.2%) to be most frequently mutated followed by MODY 12 (ABCC8; 3.3%). They together account for ~ 11% of the cases. In addition to known MODY genes, we report the identification of variants in RFX6, WFS1, AKT2, NKX6–1 that may contribute to development of MODY. Functional assessment of the NKX6–1 variants showed that they are functionally impaired. CONCLUSIONS: Our findings showed HNF1A and ABCC8 to be the most frequently mutated MODY genes in south India. Further we provide evidence for additional MODY relevant genes, such as NKX6–1, and these require further validation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12881-018-0528-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5811965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58119652018-02-15 Comprehensive genomic analysis identifies pathogenic variants in maturity-onset diabetes of the young (MODY) patients in South India Mohan, Viswanathan Radha, Venkatesan Nguyen, Thong T. Stawiski, Eric W. Pahuja, Kanika Bajaj Goldstein, Leonard D. Tom, Jennifer Anjana, Ranjit Mohan Kong-Beltran, Monica Bhangale, Tushar Jahnavi, Suresh Chandni, Radhakrishnan Gayathri, Vijay George, Paul Zhang, Na Murugan, Sakthivel Phalke, Sameer Chaudhuri, Subhra Gupta, Ravi Zhang, Jingli Santhosh, Sam Stinson, Jeremy Modrusan, Zora Ramprasad, V. L. Seshagiri, Somasekar Peterson, Andrew S. BMC Med Genet Research Article BACKGROUND: Maturity-onset diabetes of the young (MODY) is an early-onset, autosomal dominant form of non-insulin dependent diabetes. Genetic diagnosis of MODY can transform patient management. Earlier data on the genetic predisposition to MODY have come primarily from familial studies in populations of European origin. METHODS: In this study, we carried out a comprehensive genomic analysis of 289 individuals from India that included 152 clinically diagnosed MODY cases to identify variants in known MODY genes. Further, we have analyzed exome data to identify putative MODY relevant variants in genes previously not implicated in MODY. Functional validation of MODY relevant variants was also performed. RESULTS: We found MODY 3 (HNF1A; 7.2%) to be most frequently mutated followed by MODY 12 (ABCC8; 3.3%). They together account for ~ 11% of the cases. In addition to known MODY genes, we report the identification of variants in RFX6, WFS1, AKT2, NKX6–1 that may contribute to development of MODY. Functional assessment of the NKX6–1 variants showed that they are functionally impaired. CONCLUSIONS: Our findings showed HNF1A and ABCC8 to be the most frequently mutated MODY genes in south India. Further we provide evidence for additional MODY relevant genes, such as NKX6–1, and these require further validation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12881-018-0528-6) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-13 /pmc/articles/PMC5811965/ /pubmed/29439679 http://dx.doi.org/10.1186/s12881-018-0528-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Mohan, Viswanathan Radha, Venkatesan Nguyen, Thong T. Stawiski, Eric W. Pahuja, Kanika Bajaj Goldstein, Leonard D. Tom, Jennifer Anjana, Ranjit Mohan Kong-Beltran, Monica Bhangale, Tushar Jahnavi, Suresh Chandni, Radhakrishnan Gayathri, Vijay George, Paul Zhang, Na Murugan, Sakthivel Phalke, Sameer Chaudhuri, Subhra Gupta, Ravi Zhang, Jingli Santhosh, Sam Stinson, Jeremy Modrusan, Zora Ramprasad, V. L. Seshagiri, Somasekar Peterson, Andrew S. Comprehensive genomic analysis identifies pathogenic variants in maturity-onset diabetes of the young (MODY) patients in South India |
title | Comprehensive genomic analysis identifies pathogenic variants in maturity-onset diabetes of the young (MODY) patients in South India |
title_full | Comprehensive genomic analysis identifies pathogenic variants in maturity-onset diabetes of the young (MODY) patients in South India |
title_fullStr | Comprehensive genomic analysis identifies pathogenic variants in maturity-onset diabetes of the young (MODY) patients in South India |
title_full_unstemmed | Comprehensive genomic analysis identifies pathogenic variants in maturity-onset diabetes of the young (MODY) patients in South India |
title_short | Comprehensive genomic analysis identifies pathogenic variants in maturity-onset diabetes of the young (MODY) patients in South India |
title_sort | comprehensive genomic analysis identifies pathogenic variants in maturity-onset diabetes of the young (mody) patients in south india |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811965/ https://www.ncbi.nlm.nih.gov/pubmed/29439679 http://dx.doi.org/10.1186/s12881-018-0528-6 |
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