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COVID-19: Variant screening, an important step towards precision epidemiology
Amrita Chattopadhyay; Tzu-Pin Lu; Ching-Yu Shih; Liang-Chuan Lai; Mong-Hsun Tsai; Eric Y Chuang.
Afiliación
  • Amrita Chattopadhyay; National Taiwan University, Taipei, Taiwan
  • Tzu-Pin Lu; National Taiwan University Institute of Epidemiology and Preventive Medicine
  • Ching-Yu Shih; National Taiwan University, Taipei, Taiwan
  • Liang-Chuan Lai; Graduate Institute of Physiology, National Taiwan University, Taipei, Taiwan
  • Mong-Hsun Tsai; Institute of Biotechnology, National Taiwan University, Taipei, Taiwan
  • Eric Y Chuang; Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University
Preprint en En | PREPRINT-BIORXIV | ID: ppbiorxiv-345140
ABSTRACT
Precision epidemiology using genomic technologies allows for a more targeted approach to COVID-19 control and treatment at individual and population level, and is the urgent need of the day. It enables identification of patients who may be at higher risk than others to COVID-19-related mortality, due to their genetic architecture, or who might respond better to a COVID-19 treatment. The COVID-19 virus, similar to SARS-CoV, uses the ACE2 receptor for cell entry and employs the cellular serine protease TMPRSS2 for viral S protein priming. This study aspires to present a multi-omics view of how variations in the ACE2 and TMPRSS2 genes affect COVID-19 infection and disease progression in affected individuals. It reports, for both genes, several variant and gene expression analysis findings, through (i) comparison analysis over single nucleotide polymorphisms (SNPs), that may account for the difference of COVID-19 manifestations among global sub-populations; (ii) calculating prevalence of structural variations (copy number variations (CNVs) / insertions), amongst populations; and (iii) studying expression patterns stratified by gender and age, over all human tissues. This work is a good first step to be followed by additional studies and functional assays towards informed treatment decisions and improved control of the infection rate.
Licencia
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Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-BIORXIV Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-BIORXIV Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint
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