Unknown

Dataset Information

0

The human genetic epidemiology of COVID-19.


ABSTRACT: Human genetics can inform the biology and epidemiology of coronavirus disease 2019 (COVID-19) by pinpointing causal mechanisms that explain why some individuals become more severely affected by the disease upon infection by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Large-scale genetic association studies, encompassing both rare and common genetic variants, have used different study designs and multiple disease phenotype definitions to identify several genomic regions associated with COVID-19. Along with a multitude of follow-up studies, these findings have increased our understanding of disease aetiology and provided routes for management of COVID-19. Important emergent opportunities include the clinical translatability of genetic risk prediction, the repurposing of existing drugs, exploration of variable host effects of different viral strains, study of inter-individual variability in vaccination response and understanding the long-term consequences of SARS-CoV-2 infection. Beyond the current pandemic, these transferrable opportunities are likely to affect the study of many infectious diseases.

SUBMITTER: Niemi MEK 

PROVIDER: S-EPMC9060414 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

The human genetic epidemiology of COVID-19.

Niemi Mari E K MEK   Daly Mark J MJ   Ganna Andrea A  

Nature reviews. Genetics 20220502 9


Human genetics can inform the biology and epidemiology of coronavirus disease 2019 (COVID-19) by pinpointing causal mechanisms that explain why some individuals become more severely affected by the disease upon infection by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Large-scale genetic association studies, encompassing both rare and common genetic variants, have used different study designs and multiple disease phenotype definitions to identify several genomic region  ...[more]

Similar Datasets

| S-EPMC10760306 | biostudies-literature
| S-BSST563 | biostudies-other
| S-EPMC10534943 | biostudies-literature
| S-EPMC8674144 | biostudies-literature
| S-EPMC7279517 | biostudies-literature
| S-EPMC7295278 | biostudies-literature
2025-01-22 | GSE269643 | GEO
| PRJEB62576 | ENA
| PRJEB42396 | ENA
| S-BSST416 | biostudies-other