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Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes
BACKGROUND: Autoinflammatory disorders are the group of inherited inflammatory disorders caused due to the genetic defect in the genes that regulates innate immune systems. These have been clinically characterized based on the duration and occurrence of unprovoked fever, skin rash, and patient’s anc...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671593/ https://www.ncbi.nlm.nih.gov/pubmed/34905135 http://dx.doi.org/10.1186/s43141-021-00268-2 |
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author | Jain, Abhinav Bhoyar, Rahul C. Pandhare, Kavita Mishra, Anushree Sharma, Disha Imran, Mohamed Senthivel, Vigneshwar Divakar, Mohit Kumar Rophina, Mercy Jolly, Bani Batra, Arushi Sharma, Sumit Siwach, Sanjay Jadhao, Arun G. Palande, Nikhil V. Jha, Ganga Nath Ashrafi, Nishat Mishra, Prashant Kumar A.K., Vidhya Jain, Suman Dash, Debasis Kumar, Nachimuthu Senthil Vanlallawma, Andrew Sarma, Ranjan Jyoti Chhakchhuak, Lalchhandama Kalyanaraman, Shantaraman Mahadevan, Radha Kandasamy, Sunitha B. M,, Pabitha Rajagopal, Raskin Erusan Ramya J., Ezhil Devi P., Nirmala Bajaj, Anjali Gupta, Vishu Mathew, Samatha Goswami, Sangam Mangla, Mohit Prakash, Savinitha Joshi, Kandarp Meyakumla S., Sreedevi Gajjar, Devarshi Soraisham, Ronibala Yadav, Rohit Devi, Yumnam Silla Gupta, Aayush Mukerji, Mitali Ramalingam, Sivaprakash B. K., Binukumar Scaria, Vinod Sivasubbu, Sridhar |
author_facet | Jain, Abhinav Bhoyar, Rahul C. Pandhare, Kavita Mishra, Anushree Sharma, Disha Imran, Mohamed Senthivel, Vigneshwar Divakar, Mohit Kumar Rophina, Mercy Jolly, Bani Batra, Arushi Sharma, Sumit Siwach, Sanjay Jadhao, Arun G. Palande, Nikhil V. Jha, Ganga Nath Ashrafi, Nishat Mishra, Prashant Kumar A.K., Vidhya Jain, Suman Dash, Debasis Kumar, Nachimuthu Senthil Vanlallawma, Andrew Sarma, Ranjan Jyoti Chhakchhuak, Lalchhandama Kalyanaraman, Shantaraman Mahadevan, Radha Kandasamy, Sunitha B. M,, Pabitha Rajagopal, Raskin Erusan Ramya J., Ezhil Devi P., Nirmala Bajaj, Anjali Gupta, Vishu Mathew, Samatha Goswami, Sangam Mangla, Mohit Prakash, Savinitha Joshi, Kandarp Meyakumla S., Sreedevi Gajjar, Devarshi Soraisham, Ronibala Yadav, Rohit Devi, Yumnam Silla Gupta, Aayush Mukerji, Mitali Ramalingam, Sivaprakash B. K., Binukumar Scaria, Vinod Sivasubbu, Sridhar |
author_sort | Jain, Abhinav |
collection | PubMed |
description | BACKGROUND: Autoinflammatory disorders are the group of inherited inflammatory disorders caused due to the genetic defect in the genes that regulates innate immune systems. These have been clinically characterized based on the duration and occurrence of unprovoked fever, skin rash, and patient’s ancestry. There are several autoinflammatory disorders that are found to be prevalent in a specific population and whose disease genetic epidemiology within the population has been well understood. However, India has a limited number of genetic studies reported for autoinflammatory disorders till date. The whole genome sequencing and analysis of 1029 Indian individuals performed under the IndiGen project persuaded us to perform the genetic epidemiology of the autoinflammatory disorders in India. RESULTS: We have systematically annotated the genetic variants of 56 genes implicated in autoinflammatory disorder. These genetic variants were reclassified into five categories (i.e., pathogenic, likely pathogenic, benign, likely benign, and variant of uncertain significance (VUS)) according to the American College of Medical Genetics and Association of Molecular pathology (ACMG-AMP) guidelines. Our analysis revealed 20 pathogenic and likely pathogenic variants with significant differences in the allele frequency compared with the global population. We also found six causal founder variants in the IndiGen dataset belonging to different ancestry. We have performed haplotype prediction analysis for founder mutations haplotype that reveals the admixture of the South Asian population with other populations. The cumulative carrier frequency of the autoinflammatory disorder in India was found to be 3.5% which is much higher than reported. CONCLUSION: With such frequency in the Indian population, there is a great need for awareness among clinicians as well as the general public regarding the autoinflammatory disorder. To the best of our knowledge, this is the first and most comprehensive population scale genetic epidemiological study being reported from India. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43141-021-00268-2. |
format | Online Article Text |
id | pubmed-8671593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-86715932021-12-29 Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes Jain, Abhinav Bhoyar, Rahul C. Pandhare, Kavita Mishra, Anushree Sharma, Disha Imran, Mohamed Senthivel, Vigneshwar Divakar, Mohit Kumar Rophina, Mercy Jolly, Bani Batra, Arushi Sharma, Sumit Siwach, Sanjay Jadhao, Arun G. Palande, Nikhil V. Jha, Ganga Nath Ashrafi, Nishat Mishra, Prashant Kumar A.K., Vidhya Jain, Suman Dash, Debasis Kumar, Nachimuthu Senthil Vanlallawma, Andrew Sarma, Ranjan Jyoti Chhakchhuak, Lalchhandama Kalyanaraman, Shantaraman Mahadevan, Radha Kandasamy, Sunitha B. M,, Pabitha Rajagopal, Raskin Erusan Ramya J., Ezhil Devi P., Nirmala Bajaj, Anjali Gupta, Vishu Mathew, Samatha Goswami, Sangam Mangla, Mohit Prakash, Savinitha Joshi, Kandarp Meyakumla S., Sreedevi Gajjar, Devarshi Soraisham, Ronibala Yadav, Rohit Devi, Yumnam Silla Gupta, Aayush Mukerji, Mitali Ramalingam, Sivaprakash B. K., Binukumar Scaria, Vinod Sivasubbu, Sridhar J Genet Eng Biotechnol Research BACKGROUND: Autoinflammatory disorders are the group of inherited inflammatory disorders caused due to the genetic defect in the genes that regulates innate immune systems. These have been clinically characterized based on the duration and occurrence of unprovoked fever, skin rash, and patient’s ancestry. There are several autoinflammatory disorders that are found to be prevalent in a specific population and whose disease genetic epidemiology within the population has been well understood. However, India has a limited number of genetic studies reported for autoinflammatory disorders till date. The whole genome sequencing and analysis of 1029 Indian individuals performed under the IndiGen project persuaded us to perform the genetic epidemiology of the autoinflammatory disorders in India. RESULTS: We have systematically annotated the genetic variants of 56 genes implicated in autoinflammatory disorder. These genetic variants were reclassified into five categories (i.e., pathogenic, likely pathogenic, benign, likely benign, and variant of uncertain significance (VUS)) according to the American College of Medical Genetics and Association of Molecular pathology (ACMG-AMP) guidelines. Our analysis revealed 20 pathogenic and likely pathogenic variants with significant differences in the allele frequency compared with the global population. We also found six causal founder variants in the IndiGen dataset belonging to different ancestry. We have performed haplotype prediction analysis for founder mutations haplotype that reveals the admixture of the South Asian population with other populations. The cumulative carrier frequency of the autoinflammatory disorder in India was found to be 3.5% which is much higher than reported. CONCLUSION: With such frequency in the Indian population, there is a great need for awareness among clinicians as well as the general public regarding the autoinflammatory disorder. To the best of our knowledge, this is the first and most comprehensive population scale genetic epidemiological study being reported from India. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43141-021-00268-2. Springer Berlin Heidelberg 2021-12-14 /pmc/articles/PMC8671593/ /pubmed/34905135 http://dx.doi.org/10.1186/s43141-021-00268-2 Text en © The Author(s) 2021 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 Jain, Abhinav Bhoyar, Rahul C. Pandhare, Kavita Mishra, Anushree Sharma, Disha Imran, Mohamed Senthivel, Vigneshwar Divakar, Mohit Kumar Rophina, Mercy Jolly, Bani Batra, Arushi Sharma, Sumit Siwach, Sanjay Jadhao, Arun G. Palande, Nikhil V. Jha, Ganga Nath Ashrafi, Nishat Mishra, Prashant Kumar A.K., Vidhya Jain, Suman Dash, Debasis Kumar, Nachimuthu Senthil Vanlallawma, Andrew Sarma, Ranjan Jyoti Chhakchhuak, Lalchhandama Kalyanaraman, Shantaraman Mahadevan, Radha Kandasamy, Sunitha B. M,, Pabitha Rajagopal, Raskin Erusan Ramya J., Ezhil Devi P., Nirmala Bajaj, Anjali Gupta, Vishu Mathew, Samatha Goswami, Sangam Mangla, Mohit Prakash, Savinitha Joshi, Kandarp Meyakumla S., Sreedevi Gajjar, Devarshi Soraisham, Ronibala Yadav, Rohit Devi, Yumnam Silla Gupta, Aayush Mukerji, Mitali Ramalingam, Sivaprakash B. K., Binukumar Scaria, Vinod Sivasubbu, Sridhar Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes |
title | Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes |
title_full | Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes |
title_fullStr | Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes |
title_full_unstemmed | Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes |
title_short | Genetic epidemiology of autoinflammatory disease variants in Indian population from 1029 whole genomes |
title_sort | genetic epidemiology of autoinflammatory disease variants in indian population from 1029 whole genomes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671593/ https://www.ncbi.nlm.nih.gov/pubmed/34905135 http://dx.doi.org/10.1186/s43141-021-00268-2 |
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