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Clinico-Genomic Analysis Reveals Mutations Associated with COVID-19 Disease Severity: Possible Modulation by RNA Structure.
Mehta, Priyanka; Alle, Shanmukh; Chaturvedi, Anusha; Swaminathan, Aparna; Saifi, Sheeba; Maurya, Ranjeet; Chattopadhyay, Partha; Devi, Priti; Chauhan, Ruchi; Kanakan, Akshay; Vasudevan, Janani Srinivasa; Sethuraman, Ramanathan; Chidambaram, Subramanian; Srivastava, Mashrin; Chakravarthi, Avinash; Jacob, Johnny; Namagiri, Madhuri; Konala, Varma; Jha, Sujeet; Priyakumar, U Deva; Vinod, P K; Pandey, Rajesh.
  • Mehta P; INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
  • Alle S; Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad 500032, India.
  • Chaturvedi A; Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad 500032, India.
  • Swaminathan A; INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
  • Saifi S; INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
  • Maurya R; INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
  • Chattopadhyay P; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
  • Devi P; INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
  • Chauhan R; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
  • Kanakan A; INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
  • Vasudevan JS; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
  • Sethuraman R; Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad 500032, India.
  • Chidambaram S; INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
  • Srivastava M; INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
  • Chakravarthi A; Intel Technology India Private Limited, Bangalore 530103, India.
  • Jacob J; Intel Technology India Private Limited, Bangalore 530103, India.
  • Namagiri M; Intel Technology India Private Limited, Bangalore 530103, India.
  • Konala V; Intel Technology India Private Limited, Bangalore 530103, India.
  • Jha S; Intel Technology India Private Limited, Bangalore 530103, India.
  • Priyakumar UD; Intel Technology India Private Limited, Bangalore 530103, India.
  • Vinod PK; Intel Technology India Private Limited, Bangalore 530103, India.
  • Pandey R; Max Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi 110017, India.
Pathogens ; 10(9)2021 Aug 31.
Article in English | MEDLINE | ID: covidwho-1390714
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) manifests a broad spectrum of clinical presentations, varying in severity from asymptomatic to mortality. As the viral infection spread, it evolved and developed into many variants of concern. Understanding the impact of mutations in the SARS-CoV-2 genome on the clinical phenotype and associated co-morbidities is important for treatment and preventionas the pandemic progresses. Based on the mild, moderate, and severe clinical phenotypes, we analyzed the possible association between both, the clinical sub-phenotypes and genomic mutations with respect to the severity and outcome of the patients. We found a significant association between the requirement of respiratory support and co-morbidities. We also identified six SARS-CoV-2 genome mutations that were significantly correlated with severity and mortality in our cohort. We examined structural alterations at the RNA and protein levels as a result of three of these mutations A26194T, T28854T, and C25611A, present in the Orf3a and N protein. The RNA secondary structure change due to the above mutations can be one of the modulators of the disease outcome. Our findings highlight the importance of integrative analysis in which clinical and genetic components of the disease are co-analyzed. In combination with genomic surveillance, the clinical outcome-associated mutations could help identify individuals for priority medical support.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Topics: Variants Language: English Year: 2021 Document Type: Article Affiliation country: Pathogens10091109

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Topics: Variants Language: English Year: 2021 Document Type: Article Affiliation country: Pathogens10091109