Elastic net type regression methods have become very popular for prediction of certain
outcomes in epigenome-wide association studies (EWAS). The methods considered accept …

Polygenic risk scores (PRS) combine many single-nucleotide polymorphisms into a score
reflecting the genetic risk of developing a disease. Privé, Aschard, and Blum present an …

Abstract Genetics Analysis Workshop 17 provided common and rare genetic variants from
exome sequencing data and simulated binary and quantitative traits in 200 replicates. We …

Background Genome-wide marker data are used both in phenotypic genome-wide
association studies (GWAS) and genome-wide prediction (GWP). Typically, such studies …

Penalized regression methods offer an attractive alternative to single marker testing in
genetic association analysis. Penalized regression methods shrink down to zero the …

Background Ensemble predictors such as the random forest are known to have superior
accuracy but their black-box predictions are difficult to interpret. In contrast, a generalized …

Epigenome‐wide association studies (EWAS) are designed to characterise population‐level
epigenetic differences across the genome and link them to disease. Most commonly, they …

Genome-wide association studies (GWASs) examine the association between genotype and
phenotype while adjusting for a set of covariates. Although the covariates may have non …

Integrating genome‐wide association (GWAS) and expression quantitative trait locus (eQTL)
data into transcriptome‐wide association studies (TWAS) based on predicted expression …

The large number of markers in genome-wide prediction demands the use of methods with
regularization and model comparison based on some hold-out test prediction error measure …