Covariate-aware genomic prediction of blood metabolite profiles using multi-task neural networks

Circulating metabolites capture clinically relevant physiological variation and contribute to disease aetiology yet are mostly studied as biomarkers rather than prediction targets. Although genome-wid...

biorxiv.org

Bias in genome-wide association test statistics due to omitted interactions

Over the past two decades, genome-wide association studies (GWAS) enabled the discovery of thousands of variants associated with many complex human traits. However, conventional GWAS are still widely ...

biorxiv.org

DeepKin: Predicting Relatedness From Low‐Coverage Genomes and Palaeogenomes With Convolutional Neural Networks

DeepKin is a novel tool designed to predict relatedness from genomic data using convolutional neural networks (CNNs). Traditional methods for estimating relatedness often struggle when genomic data i...

onlinelibrary.wiley.com

Female lineages and changing kinship patterns in Neolithic Çatalhöyük

Combining 131 paleogenomes with bioarchaeological and archaeological data, we studied social organization and gendered practices in Çatalhöyük East Mound (7100 to 5950 BCE), a major Neolithic settleme...

science.org

The Estonian Biobank’s journey from biobanking to personalized medicine - Nature Communications

Large-scale biobanks have become a font of data that have led to discoveries across many fields of research. Here, the authors provide an overview of the Estonian Biobank, highlighting its value for r...

nature.com