1029 genomes of self-declared healthy individuals from India reveal prevalent and clinically relevant cardiac ion channelopathy variants

Abstract Background The prevalence and genetic spectrum of cardiac channelopathies exhibit population-specific differences. We aimed to understand the spectrum of cardiac channelopathy-associated variations in India, which is characterised by a genetically diverse population and is largely understud...

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Main Authors: Anjali Bajaj, Vigneshwar Senthivel, Rahul Bhoyar, Abhinav Jain, Mohamed Imran, Mercy Rophina, Mohit Kumar Divakar, Bani Jolly, Ankit Verma, Anushree Mishra, Disha Sharma, Siddharthan Deepti, Gautam Sharma, Raghav Bansal, Rakesh Yadav, Vinod Scaria, Nitish Naik, Sridhar Sivasubbu
Format: Article
Language:English
Published: BMC 2022-08-01
Series:Human Genomics
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Online Access:https://doi.org/10.1186/s40246-022-00402-2
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author Anjali Bajaj
Vigneshwar Senthivel
Rahul Bhoyar
Abhinav Jain
Mohamed Imran
Mercy Rophina
Mohit Kumar Divakar
Bani Jolly
Ankit Verma
Anushree Mishra
Disha Sharma
Siddharthan Deepti
Gautam Sharma
Raghav Bansal
Rakesh Yadav
Vinod Scaria
Nitish Naik
Sridhar Sivasubbu
author_facet Anjali Bajaj
Vigneshwar Senthivel
Rahul Bhoyar
Abhinav Jain
Mohamed Imran
Mercy Rophina
Mohit Kumar Divakar
Bani Jolly
Ankit Verma
Anushree Mishra
Disha Sharma
Siddharthan Deepti
Gautam Sharma
Raghav Bansal
Rakesh Yadav
Vinod Scaria
Nitish Naik
Sridhar Sivasubbu
author_sort Anjali Bajaj
collection DOAJ
description Abstract Background The prevalence and genetic spectrum of cardiac channelopathies exhibit population-specific differences. We aimed to understand the spectrum of cardiac channelopathy-associated variations in India, which is characterised by a genetically diverse population and is largely understudied in the context of these disorders. Results We utilised the IndiGenomes dataset comprising 1029 whole genomes from self-declared healthy individuals as a template to filter variants in 36 genes known to cause cardiac channelopathies. Our analysis revealed 186,782 variants, of which we filtered 470 variants that were identified as possibly pathogenic (440 nonsynonymous, 30 high-confidence predicted loss of function ). About 26% (124 out of 470) of these variants were unique to the Indian population as they were not reported in the global population datasets and published literature. Classification of 470 variants by ACMG/AMP guidelines unveiled 13 pathogenic/likely pathogenic (P/LP) variants mapping to 19 out of the 1029 individuals. Further query of 53 probands in an independent cohort of cardiac channelopathy, using exome sequencing, revealed the presence of 3 out of the 13 P/LP variants. The identification of p.G179Sfs*62, p.R823W and c.420 + 2 T > C variants in KCNQ1, KCNH2 and CASQ2 genes, respectively, validate the significance of the P/LP variants in the context of clinical applicability as well as for large-scale population analysis. Conclusion A compendium of ACMG/AMP classified cardiac channelopathy variants in 1029 self-declared healthy Indian population was created. A conservative genotypic prevalence was estimated to be 0.9–1.8% which poses a huge public health burden for a country with large population size like India. In the majority of cases, these disorders are manageable and the risk of sudden cardiac death can be alleviated by appropriate lifestyle modifications as well as treatment regimens/clinical interventions. Clinical utility of the obtained variants was demonstrated using a cardiac channelopathy patient cohort. Our study emphasises the need for large-scale population screening to identify at-risk individuals and take preventive measures. However, we suggest cautious clinical interpretation to be exercised by taking other cardiac channelopathy risk factors into account.
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spelling doaj.art-52afe3dfd7c645cf9500eb6a4849bb922022-12-22T03:10:24ZengBMCHuman Genomics1479-73642022-08-0116111510.1186/s40246-022-00402-21029 genomes of self-declared healthy individuals from India reveal prevalent and clinically relevant cardiac ion channelopathy variantsAnjali Bajaj0Vigneshwar Senthivel1Rahul Bhoyar2Abhinav Jain3Mohamed Imran4Mercy Rophina5Mohit Kumar Divakar6Bani Jolly7Ankit Verma8Anushree Mishra9Disha Sharma10Siddharthan Deepti11Gautam Sharma12Raghav Bansal13Rakesh Yadav14Vinod Scaria15Nitish Naik16Sridhar Sivasubbu17CSIR-Institute of Genomics and Integrative BiologyCSIR-Institute of Genomics and Integrative BiologyCSIR-Institute of Genomics and Integrative BiologyCSIR-Institute of Genomics and Integrative BiologyCSIR-Institute of Genomics and Integrative BiologyCSIR-Institute of Genomics and Integrative BiologyCSIR-Institute of Genomics and Integrative BiologyCSIR-Institute of Genomics and Integrative BiologyCSIR-Institute of Genomics and Integrative BiologyCSIR-Institute of Genomics and Integrative BiologyCSIR-Institute of Genomics and Integrative BiologyDepartment of Cardiology, All India Institute of Medical Sciences (AIIMS)Department of Cardiology, All India Institute of Medical Sciences (AIIMS)Department of Cardiology, All India Institute of Medical Sciences (AIIMS)Department of Cardiology, All India Institute of Medical Sciences (AIIMS)CSIR-Institute of Genomics and Integrative BiologyDepartment of Cardiology, All India Institute of Medical Sciences (AIIMS)CSIR-Institute of Genomics and Integrative BiologyAbstract Background The prevalence and genetic spectrum of cardiac channelopathies exhibit population-specific differences. We aimed to understand the spectrum of cardiac channelopathy-associated variations in India, which is characterised by a genetically diverse population and is largely understudied in the context of these disorders. Results We utilised the IndiGenomes dataset comprising 1029 whole genomes from self-declared healthy individuals as a template to filter variants in 36 genes known to cause cardiac channelopathies. Our analysis revealed 186,782 variants, of which we filtered 470 variants that were identified as possibly pathogenic (440 nonsynonymous, 30 high-confidence predicted loss of function ). About 26% (124 out of 470) of these variants were unique to the Indian population as they were not reported in the global population datasets and published literature. Classification of 470 variants by ACMG/AMP guidelines unveiled 13 pathogenic/likely pathogenic (P/LP) variants mapping to 19 out of the 1029 individuals. Further query of 53 probands in an independent cohort of cardiac channelopathy, using exome sequencing, revealed the presence of 3 out of the 13 P/LP variants. The identification of p.G179Sfs*62, p.R823W and c.420 + 2 T > C variants in KCNQ1, KCNH2 and CASQ2 genes, respectively, validate the significance of the P/LP variants in the context of clinical applicability as well as for large-scale population analysis. Conclusion A compendium of ACMG/AMP classified cardiac channelopathy variants in 1029 self-declared healthy Indian population was created. A conservative genotypic prevalence was estimated to be 0.9–1.8% which poses a huge public health burden for a country with large population size like India. In the majority of cases, these disorders are manageable and the risk of sudden cardiac death can be alleviated by appropriate lifestyle modifications as well as treatment regimens/clinical interventions. Clinical utility of the obtained variants was demonstrated using a cardiac channelopathy patient cohort. Our study emphasises the need for large-scale population screening to identify at-risk individuals and take preventive measures. However, we suggest cautious clinical interpretation to be exercised by taking other cardiac channelopathy risk factors into account.https://doi.org/10.1186/s40246-022-00402-2Cardiac channelopathiesIndiGenGenome sequencingPrevalenceIndian populationACMG/AMP
spellingShingle Anjali Bajaj
Vigneshwar Senthivel
Rahul Bhoyar
Abhinav Jain
Mohamed Imran
Mercy Rophina
Mohit Kumar Divakar
Bani Jolly
Ankit Verma
Anushree Mishra
Disha Sharma
Siddharthan Deepti
Gautam Sharma
Raghav Bansal
Rakesh Yadav
Vinod Scaria
Nitish Naik
Sridhar Sivasubbu
1029 genomes of self-declared healthy individuals from India reveal prevalent and clinically relevant cardiac ion channelopathy variants
Human Genomics
Cardiac channelopathies
IndiGen
Genome sequencing
Prevalence
Indian population
ACMG/AMP
title 1029 genomes of self-declared healthy individuals from India reveal prevalent and clinically relevant cardiac ion channelopathy variants
title_full 1029 genomes of self-declared healthy individuals from India reveal prevalent and clinically relevant cardiac ion channelopathy variants
title_fullStr 1029 genomes of self-declared healthy individuals from India reveal prevalent and clinically relevant cardiac ion channelopathy variants
title_full_unstemmed 1029 genomes of self-declared healthy individuals from India reveal prevalent and clinically relevant cardiac ion channelopathy variants
title_short 1029 genomes of self-declared healthy individuals from India reveal prevalent and clinically relevant cardiac ion channelopathy variants
title_sort 1029 genomes of self declared healthy individuals from india reveal prevalent and clinically relevant cardiac ion channelopathy variants
topic Cardiac channelopathies
IndiGen
Genome sequencing
Prevalence
Indian population
ACMG/AMP
url https://doi.org/10.1186/s40246-022-00402-2
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