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A Monte Carlo Estimation of the Narrow-Sense Heritability of COVID-19 Infection and Severity from AncestryDNA Survey Data

Averitt, A. J.; Sharma, D.; Cantor, M. N.

2022-05-25 genetic and genomic medicine
10.1101/2022.05.23.22275364 medRxiv
Show abstract

Respiratory infectious diseases, such as COVID-19, demonstrate a host genetic component that contributes to interindividual differences of susceptibility and infection. At present, the relative effect of environmental and genetic factors of COVID-19 is unknown. This research presents a Monte Carlo (MC) estimation of the genetic narrow-sense heritability of COVID-19 infection and severity from AncestryDNA survey data. The results suggest a moderate genetic contribution to COVID-19 infection and a low genetic contribution for COVID-19 severity.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.