Evidence map›Paper›PMID 34578142›Full record

ArticlePathogens (Basel, Switzerland)2021

Clinico-Genomic Analysis Reveals Mutations Associated with COVID-19 Disease Severity: Possible Modulation by RNA Structure.

Priyanka Mehta, Shanmukh Alle, Anusha Chaturvedi, Aparna Swaminathan, Sheeba Saifi, Ranjeet Maurya, Partha Chattopadhyay, Priti Devi, Ruchi Chauhan, Akshay Kanakan and 12 more

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Priyanka MehtaINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
Shanmukh AlleCenter for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad 500032, India.
Anusha ChaturvediCenter for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad 500032, India.
Aparna SwaminathanINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
Sheeba SaifiINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
Ranjeet MauryaINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.ORCID 0000-0002-0306-8970
Partha ChattopadhyayINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.ORCID 0000-0002-5536-3162
Priti DeviINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
Ruchi ChauhanCenter for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad 500032, India.
Akshay KanakanINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.ORCID 0000-0003-1878-9225
Janani Srinivasa VasudevanINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.
Ramanathan SethuramanIntel Technology India Private Limited, Bangalore 530103, India.
Subramanian ChidambaramIntel Technology India Private Limited, Bangalore 530103, India.
Mashrin SrivastavaIntel Technology India Private Limited, Bangalore 530103, India.
Avinash ChakravarthiIntel Technology India Private Limited, Bangalore 530103, India.
Johnny JacobIntel Technology India Private Limited, Bangalore 530103, India.
Madhuri NamagiriIntel Technology India Private Limited, Bangalore 530103, India.
Varma KonalaIntel Technology India Private Limited, Bangalore 530103, India.
Sujeet JhaMax Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi 110017, India.
U Deva PriyakumarCenter for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad 500032, India.
P K VinodCenter for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad 500032, India.ORCID 0000-0003-2968-498X
Rajesh PandeyINtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110017, India.

Funding

Council of Scientific and Industrial Research, India MLP-2005Fondation Botnar CLP-0031Indo-US Science and Technology Forum CLP-0033Intel Foundation CLP-0034
6 · The paper itself

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.

Indexed as

clinical outcomeclinico-genomicCOVID-19disease severityintegrative analysismutationRNA structure

Identifiers

PMID34578142
PMCPMC8464923

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.