Menu
Currency
GWAS Study

Better safe than sorry-Whole-genome sequencing indicates that missense variants are significant in susceptibility to COVID-19.

Słomian D, Szyda J, Dobosz P et al.

36662838 PubMed ID
GWAS Study Type
1076 Participants
60 Views
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

SD
Słomian D
SJ
Szyda J
DP
Dobosz P
SJ
Stojak J
MA
Michalska-Foryszewska A
SM
Sypniewski M
LJ
Liu J
KK
Kotlarz K
ST
Suchocki T
MM
Mroczek M
SM
Stępień M
SP
Sztromwasser P
KZ
Król ZJ
Chapter II

Abstract

Summary of the research findings

Undoubtedly, genetic factors play an important role in susceptibility and resistance to COVID-19. In this study, we conducted the GWAS analysis. Out of 15,489,173 SNPs, we identified 18,191 significant SNPs for severe and 11,799 SNPs for resistant phenotype, showing that a great number of loci were significant in different COVID-19 representations. The majority of variants were synonymous (60.56% for severe, 58.46% for resistant phenotype) or located in introns (55.77% for severe, 59.83% for resistant phenotype). We identified the most significant SNPs for a severe outcome (in AJAP1 intron) and for COVID resistance (in FIG4 intron). We found no missense variants with a potential causal function on resistance to COVID-19; however, two missense variants were determined as significant a severe phenotype (in PM20D1 and LRP4 exons). None of the aforementioned SNPs and missense variants found in this study have been previously associated with COVID-19.

235 severe cases, up to 841 resistant, benign or mild controls

Chapter III

Study Statistics

Key metrics and study information

1076
Total Participants
GWAS
Study Type
No
Replicated
Poland
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of health and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

AI Summary In Progress

Our AI-generated summary of this publication is being prepared. Please check back soon.