Maris Alver

The paper develops a multi-task neural network to predict blood metabolite profiles by separating covariate, genetic, and joint effects, finding nonlinear covariate modeling improves prediction.

This study uses biobank-linked drug purchase data to investigate genetic factors influencing medication dosing, finding significant polygenic and pharmacogenomic associations with statins, metoprolol, and warfarin.

The paper reviews the Estonian Biobank's role in advancing genomics research and personalized medicine through its comprehensive data and translational focus.

The paper integrates regulatory activity variability with gene expression and genotype data to identify genetic regulation changes in schizophrenia.

The paper identifies novel genetic loci associated with blood pressure that interact with sleep duration across multiple ancestries.

The paper identifies 49 novel blood lipid loci associated with gene-sleep interactions in 126,926 individuals across 5 ancestry groups, with gene-short-sleep interactions explaining 4.25% of triglyceride variance.

The paper analyzes whole genome sequences from 16,324 individuals to identify genetic variants associated with blood lipid levels and develops a polygenic score for LDL-C.

The paper uses whole genome sequencing to identify genetic variants associated with plasma lipoprotein(a) levels and finds high heritability and inter-ethnic differences in Lp(a) risk.