Learning tasks such as those involving genomic data often poses a serious challenge: the
number of input features can be orders of magnitude larger than the number of training …

De novo mutations (DNM) are an important source of rare variants and are increasingly being
linked to the development of many diseases. Recently, the paternal age effect has been …

Genotype imputation is now commonly performed following genome-wide genotyping
experiments. Imputation increases the density of analyzed genotypes in the dataset, enabling fine-…

Background: The randomized, placebo-controlled COLCOT (Colchicine Cardiovascular
Outcomes Trial) has shown the benefits of colchicine 0.5 mg daily to lower the rate of ischemic …

We conducted a genome-wide association study of time to remission of COVID-19 symptoms
in 1723 outpatients with at least one risk factor for disease severity from the COLCORONA …

Establishing the relationship between protein-coding genes and phenotypes has the potential
to inform on the molecular etiology of diseases. Here, we describe ExPheWas ( exphewas.…

A one-pot environmentally friendly transamidation of ω-3 fatty acid ethyl esters to amides and
mono- or diacylglycerols was investigated via the use of a polymer-supported lipase. The …

In the analysis of current genomic data, application of machine learning and data mining
techniques has become more attractive given the rising complexity of the projects. As part of the …

Pharmacogenomic studies have revealed associations between rs1967309 in the adenylyl
cyclase type 9 (ADCY9) gene and clinical responses to the cholesteryl ester transfer protein (…

Genetic association studies making use of high-throughput genotyping arrays need to process
large amounts of data in the order of millions of markers per experiment. The first step of …