Back to search

Article

Methylation risk scores are associated with a collection of phenotypes within electronic health record systems

2022-02-09

Abstract excerpt

Inference of clinical phenotypes is a fundamental task in precision medicine, and has therefore been heavily investigated in recent years in the context of electronic health records (EHR) using a large arsenal of machine learning techniques, as well as in the context of genetics using polygenic risk scores (PRS). In this work, we considered the epigenetic analog of PRS, methylation risk scores (MRS), a linear comb...

Topics

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

Identifiers and source

Literature Corpus work
6b1d9660-21ea-552c-a369-73b274dc2de8
DOI
10.1101/2022.02.07.22270047
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Methylation risk scores are associated with a collection of phenotypes within electronic health record systemsDOI 10.1101/2022.02.07.22270047
An overview of DNA methylation-derived trait score methods and applications.Semantic proximity
Association of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study: Results from The Michigan Genomics Initiative.Semantic proximity
A systematic evaluation of 41 DNA methylation predictors across 101 data preprocessing and normalization strategies highlights considerable variation in algorithm performanceSemantic proximity
The relative contribution of DNA methylation and genetic variants on protein biomarkers for human diseases.Semantic proximity
Importance of genetic ancestry in pharmacogenomics for precision medicine.Semantic proximity
MIMOSA: A resource consisting of improved methylome imputation models increases power to identify DNA methylation-phenotype associationsSemantic proximity
INTEGRATING CLINICAL LABORATORY MEASURES AND ICD-9 CODE DIAGNOSES IN PHENOME-WIDE ASSOCIATION STUDIES.Semantic proximity
Methyl-TWAS: A powerful method for <i>in silico</i> transcriptome-wide association studies (TWAS) using long-range DNA methylationSemantic proximity
Saliva as a potential diagnostic medium: DNA methylation biomarkers for disorders beyond the oral cavitySemantic proximity
Genetic Data from Nearly 63,000 Women of European Descent Predicts DNA Methylation Biomarkers and Epithelial Ovarian Cancer Risk.Semantic proximity
MIMOSA: a resource consisting of improved methylome prediction models increases power to identify DNA methylation-phenotype associations.Semantic proximity
Completing the ENCODE3 compendium yields accurate imputations across a variety of assays and human biosamplesSemantic proximity
Select a neighboring publication to make it the new centre.