The SARS-CoV-2 virus is responsible for the COVID-19 global public health emergency, and the disease it causes is highly variable in
its clinical presentation. Clinical phenotypes are heterogeneous both in terms of presentation of symptoms in the host and
response to therapy. Several studies and initiatives have been established to analyse and review host genetic epidemiology
associated with COVID-19. Our research group curated these articles into a web-based database using the python applicationserver
framework Django. The database provides a searchable research tool describing current literature surrounding COVID-19
host genetic factors associated with disease outcome. This paper describes the COHG-SA database and provides an overview of the
analyses that can be derived from these data.The South African Medical Research Council through its Division of Research Capacity Development under the SAMRC Internship Scholarship Programme from funding received from the South African National Treasury; the CIDRI-Africa Wellcome Trust grant; the NIH H3ABioNET award; the UKRI/MRC and the University of Pretoria through the Institute for Cellular and Molecular Medicine.https://www.nature.com/ejhgam2023BiochemistryGeneticsImmunologyMicrobiology and Plant Patholog
