Research output: Contribution to journal › Article › peer-review
Frances M K Williams, Maxim B Freidin, Massimo Mangino, Simon Couvreur, Alessia Visconti, Ruth C E Bowyer, Caroline I Le Roy, Mario Falchi, Olatz Mompeó, Carole Sudre, Richard Davies, Christopher Hammond, Cristina Menni, Claire J Steves, Tim D Spector
Original language | English |
---|---|
Pages (from-to) | 316-321 |
Number of pages | 6 |
Journal | TWIN RESEARCH AND HUMAN GENETICS |
Volume | 23 |
Issue number | 6 |
DOIs | |
E-pub ahead of print | 9 Feb 2021 |
Additional links |
Susceptibility to infection such as SARS-CoV-2 may be influenced by host genotype. TwinsUK volunteers (n = 3261) completing the C-19 COVID-19 symptom tracker app allowed classical twin studies of COVID-19 symptoms, including predicted COVID-19, a symptom-based algorithm to predict true infection, derived from app users tested for SARS-CoV-2. We found heritability of 49% (32-64%) for delirium; 34% (20-47%) for diarrhea; 31% (8-52%) for fatigue; 19% (0-38%) for anosmia; 46% (31-60%) for skipped meals and 31% (11-48%) for predicted COVID-19. Heritability estimates were not affected by cohabiting or by social deprivation. The results suggest the importance of host genetics in the risk of clinical manifestations of COVID-19 and provide grounds for planning genome-wide association studies to establish specific genes involved in viral infectivity and the host immune response.
King's College London - Homepage
© 2020 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454