id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-302535-rnmftg3j	van Blokland, I. V.	Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility	2020-08-24		.txt	text/plain	5977	358	51	The three cohorts with self-reported SARS-CoV-2 reverse-transcription PCR (RT-PCR) test outcomes available (Helix, Lifelines and NTR) were used in an attempt to improve the Menni COVID-19 prediction model. . https://doi.org/10.1101/2020.08.21.20177246 doi: medRxiv preprint performed forward and backward stepwise logistic regression in the Lifelines COVID-19 Cohort to construct the model most predictive for a positive test outcome (p-in = 0.10 and p-out = 0.10). Using self-reported symptoms of 56 positive and 586 negative test outcome cases in the Lifelines cohort, we next attempted to improve on the Menni COVID-19 prediction model. . https://doi.org/10.1101/2020.08.21.20177246 doi: medRxiv preprint Next, we examined whether previously reported genetic associations with common viral infections share any overlap with the variants identified by our GWAS on COVID-19 susceptibility. The different cut-offs and symptoms that were used by the Generation Scotland, Helix, Lifelines and NTR cohorts when applying the Menni COVID-19 prediction model to the datasets prior to running the GWAS.	./cache/cord-302535-rnmftg3j.txt	./txt/cord-302535-rnmftg3j.txt