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

ACMG/AMP Cardiac channelopathies Genome sequencing IndiGen Indian population Population screening Prevalence

Journal

Human genomics
ISSN: 1479-7364
Titre abrégé: Hum Genomics
Pays: England
ID NLM: 101202210

Informations de publication

Date de publication:
05 08 2022
Historique:
received: 25 02 2022
accepted: 11 07 2022
entrez: 5 8 2022
pubmed: 6 8 2022
medline: 10 8 2022
Statut: epublish

Résumé

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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 35932045
doi: 10.1186/s40246-022-00402-2
pii: 10.1186/s40246-022-00402-2
pmc: PMC9354277
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

30

Informations de copyright

© 2022. The Author(s).

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Auteurs

Anjali Bajaj (A)

CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.

Vigneshwar Senthivel (V)

CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.

Rahul Bhoyar (R)

CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.

Abhinav Jain (A)

CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.

Mohamed Imran (M)

CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.

Mercy Rophina (M)

CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.

Mohit Kumar Divakar (MK)

CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.

Bani Jolly (B)

CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.

Ankit Verma (A)

CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.

Anushree Mishra (A)

CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.

Disha Sharma (D)

CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.

Siddharthan Deepti (S)

Department of Cardiology, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India.

Gautam Sharma (G)

Department of Cardiology, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India.

Raghav Bansal (R)

Department of Cardiology, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India.

Rakesh Yadav (R)

Department of Cardiology, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India.

Vinod Scaria (V)

CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India. vinods@igib.in.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India. vinods@igib.in.

Nitish Naik (N)

Department of Cardiology, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India.

Sridhar Sivasubbu (S)

CSIR-Institute of Genomics and Integrative Biology, Sukhdev Vihar, Mathura Road, New Delhi, 110025, India. sridhar@igib.in.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India. sridhar@igib.in.

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