Article

Genome-Wide Analysis of Genetic Associations for Prediction of Polygenic Hypercholesterolemia with Bayesian Networks

2015-01-01

Abstract excerpt

The genome-wide analysis of genetic associations with lipid metabolism indicators was carried out using the technology of Bayesian networks (BN). It was performed to diagnose polygenic hypercholesterolemia on the basis of genetic data of the Russian population of patients. The data of 1,200 patients was analyzed. 196725 SNPs as well as clinical data, lipid profile indicators -- different types of cholesterol -- we...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: dd2ff559-2c6a-5401-9640-a00e5e516277
DOI: 10.14529/jcem150402

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 8 closest

Genome-Wide Analysis of Genetic Associations for Prediction of Polygenic Hypercholesterolemia with Bayesian NetworksDOI 10.14529/jcem150402Read

Predicting risk of coronary artery disease from DNA microarray-based genotyping using neural networks and other statistical analysis tool.Semantic proximity Read

Analysis of postprandial lipemia as a Cardiovascular Disease risk factor using genetic and clinical information: an Artificial Neural Network perspective.Semantic proximity Read

Phenotype forecasting with SNPs data through gene-based Bayesian networks.Semantic proximity Read

Prediction of coronary atherosclerosis progression using dynamic Bayesian networks.Semantic proximity Read

GWAS findings improved genomic prediction accuracy of lipid profile traits: Tehran Cardiometabolic Genetic Study.Semantic proximity Read

A new 165-SNP low-density lipoprotein cholesterol polygenic risk score based on next generation sequencing outperforms previously published scores in routine diagnostics of familial hypercholesterolemia.Semantic proximity Read

Twelve Variants Polygenic Score for Low-Density Lipoprotein Cholesterol Distribution in a Large Cohort of Patients With Clinically Diagnosed Familial Hypercholesterolemia With or Without Causative Mutations.Semantic proximity Read

Bayesian Approaches in Exploring Gene-environment and Gene-gene Interactions: A Comprehensive Review.Semantic proximity Read