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Updated: Oct 11, 2025
07:15
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
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SARS-CoV-2 genetic variations associated with COVID-19 pathogenicity.
Pakorn Aiewsakun1,2, Patrawee Nilplub2, Patompon Wongtrakoongate3,4
1Department of Microbiology, Faculty of Science, Mahidol University, 272, Rama VI Road, Ratchathewi, Bangkok, 10400, Thailand.
Microbial Genomics
|December 6, 2021
Summary
A specific SARS-CoV-2 mutation (11083G>T) in non-structural protein 6 is linked to asymptomatic COVID-19 cases. Patient age also influences symptom development, but gender does not significantly impact disease presentation.
Area of Science:
- Genomics
- Virology
- Epidemiology
Background:
- Understanding the genetic basis of SARS-CoV-2 infection is crucial for public health.
- Identifying factors influencing COVID-19 symptom presentation aids in disease management and prevention.
Purpose of the Study:
- To identify genetic mutations in SARS-CoV-2 associated with asymptomatic or pre-symptomatic COVID-19.
- To investigate the influence of patient demographics (age, gender) and country on COVID-19 symptom development.
Main Methods:
- Genome-wide association analyses were conducted on 3021 full-length SARS-CoV-2 genomes from GISAID.
- Analyses adjusted for covariates including patient age, gender, country, and viral phylogenetic relatedness.
Main Results:
- The mutation 11083G>T in non-structural protein 6 was significantly associated with asymptomatic COVID-19.
- Patient age showed a positive correlation with symptomatic infection.
- No significant correlation was found between gender and disease development, and demographic effects were consistent across countries.
Conclusions:
- The SARS-CoV-2 mutation 11083G>T is a potential genetic marker for asymptomatic infection.
- Patient age is a significant factor in COVID-19 symptom development, independent of country-specific variations.
- Further research into viral genetics can elucidate mechanisms of disease presentation.
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