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Article

In silico prediction of blood cholesterol levels from genotype data.

PloS one - 1 Jan 2020

Reggiani Francesco, Carraro Marco, Belligoli Anna, Sanna Marta, Dal Prà Chiara, Favaretto Francesca, Ferrari Carlo, Vettor Roberto, Tosatto Silvio C E

Abstract excerpt

In this work we present a framework for blood cholesterol levels prediction from genotype data. The predictor is based on an algorithm for cholesterol metabolism simulation available in literature, implemented and optimized by our group in the R language. The main weakness of the former simulation algorithm was the need of experimental data to simulate mutations in genes altering the cholesterol metabolism. This...

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PMID: 32040480
DOI: 10.1371/journal.pone.0227191
PMCID: PMC7010235

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