2021
DOI: 10.1186/s40246-021-00306-7
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Genetic variants are identified to increase risk of COVID-19 related mortality from UK Biobank data

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-w… Show more

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Cited by 94 publications
(94 citation statements)
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References 54 publications
(66 reference statements)
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“…In addition, recent data from the United Kingdom suggest that a substantial proportion of excess mortality in the second half of 2020 may have derived from long-term complications of the first wave leading to hospital readmissions and deaths [18]. Finally, we cannot exclude the role of emerging new coronavirus variants in the excess mortality of the second half of 2020 [19].…”
Section: Discussionmentioning
confidence: 93%
“…In addition, recent data from the United Kingdom suggest that a substantial proportion of excess mortality in the second half of 2020 may have derived from long-term complications of the first wave leading to hospital readmissions and deaths [18]. Finally, we cannot exclude the role of emerging new coronavirus variants in the excess mortality of the second half of 2020 [19].…”
Section: Discussionmentioning
confidence: 93%
“…Lastly, the specific effect of SARS-CoV-2 with different genetic subtype markers ( 49 ) on renal manifestation is not assessable as related data are unavailable. Previous study demonstrated that eight variants of SARS-CoV-2 were associated with higher mortality, and the renal manifestations of different variants would require further investigation ( 50 ).…”
Section: Discussionmentioning
confidence: 99%
“…Manifold studies focus on different aspects of COVID-19 pandemic crisis (cf., Hu et al, 2021 ; Tian et al, 2021 ). Asirvatham et al (2020) estimate an adjusted case fatality rate of COVID-19 in India considering some factors of urban environment and population.…”
Section: Theoretical Frameworkmentioning
confidence: 99%