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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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Association between SUMF1 polymorphisms and COVID-19 severity.

Shaohui Liang1, Huixia Gao2, Tongxin He3

  • 1Department of Respiratory, Hebei Chest Hospital, Shijiazhuang, 050000, Hebei, China.

BMC Genomic Data
|June 21, 2023
PubMed
Summary
This summary is machine-generated.

Genetic factors influence COVID-19 severity. A specific variant in the Sulfatase modifying factor 1 (SUMF1) gene, rs794185, is linked to increased disease severity and impacts prothrombin activity.

Keywords:
COVID-19Multiple sclerosisSUMF1rs794185

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Area of Science:

  • Genetics
  • Molecular Biology
  • Infectious Diseases

Background:

  • Genetic factors significantly influence the severity of coronavirus disease 2019 (COVID-19).
  • The Sulfatase modifying factor 1 (SUMF1) gene is implicated in processes relevant to COVID-19 pathogenesis, including alveolar damage and systemic inflammation.

Purpose of the Study:

  • To investigate the potential role of the SUMF1 gene in COVID-19 severity.
  • To identify specific genetic variants within SUMF1 associated with COVID-19 outcomes.

Main Methods:

  • Genomic association study analyzing the rs794185 single nucleotide polymorphism (SNP) in the SUMF1 gene.
  • Logistic regression analysis was used to assess the association with COVID-19 severity in Chinese and European populations.
  • Generalized Linear Model was employed to examine the relationship between the SNP and prothrombin activity.

Main Results:

  • The rs794185 variant in the SUMF1 gene was significantly associated with COVID-19 severity in the Chinese population (P=0.0073).
  • This association was replicated in the European population (P=0.0037).
  • rs794185 also showed a significant association with prothrombin activity (P=0.015).

Conclusions:

  • This study provides the first evidence linking the rs794185 variant in the SUMF1 gene to COVID-19 severity.
  • The findings suggest that SUMF1 genetic variations may contribute to differential disease outcomes in COVID-19 patients.