rs11237534 - SHANK2

Magnitude 2.0 · 1 study on file

Reported associations

• Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data - Unknown journal (n.d.) · Unknown authors · PubMed 33536081

  ABSTRACT: Background The severity of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is highly heterogeneous. Studies have reported that males and some ethnic groups are at increased risk of death from COVID-19, which implies that individual risk of death might be influenced by host genetic factors. Methods In this project, we consider the mortality as the trait of interest and perform a genome-wide association study (GWAS) of data for 1778 infected cases (445 deaths, 25.03%) distributed by the UK Biobank. Traditional GWAS fails to identify any genome-wide significant genetic variants from this dataset. To enhance the power of GWAS and account for possible multi-loci interactions, we adopt the concept of super variant for the d

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