Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility.

doi:10.1371/journal.pone.0255402

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Article

Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility.

PloS one - 1 Jan 2021

van Blokland Irene V, Lanting Pauline, Ori Anil P S, Vonk Judith M, Warmerdam Robert C A, Herkert Johanna C, Boulogne Floranne, Claringbould Annique, Lopera-Maya Esteban A, Bartels Meike, Hottenga Jouke-Jan, Ganna Andrea, Karjalainen Juha, Hayward Caroline, Fawns-Ritchie Chloe, Campbell Archie, Porteous David, Cirulli Elizabeth T, Schiabor Barrett Kelly M, Riffle Stephen, Bolze Alexandre, White Simon, Tanudjaja Francisco, Wang Xueqing, Ramirez Jimmy M, Lim Yan Wei, Lu James T, Washington Nicole L, de Geus Eco J C, Deelen Patrick, Boezen H Marike, Franke Lude H

Abstract excerpt

Epidemiological and genetic studies on COVID-19 are currently hindered by inconsistent and limited testing policies to confirm SARS-CoV-2 infection. Recently, it was shown that it is possible to predict COVID-19 cases using cross-sectional self-reported disease-related symptoms. Here, we demonstrate that this COVID-19 prediction model has reasonable and consistent performance across multiple independent cohorts...

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PMID: 34379666
DOI: 10.1371/journal.pone.0255402
PMCID: PMC8357137

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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