Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide,
is highly heritable. While COPD is clinically defined by applying thresholds to summary …

Genetics and omics studies of Alzheimer's disease and other dementia subtypes enhance
our understanding of underlying mechanisms and pathways that can be targeted. We …

Deep learning has already revolutionised the way a wide range of data is processed in
many areas of daily life. The ability to learn abstractions and relationships from …

The adaptation of Tibetans to high-altitude environments has been studied extensively.
However, the direct assessment of evolutionary adaptation, ie, the reproductive fitness of …

The predictive performance of polygenic scores (PGS) is largely dependent on the number
of samples available to train the PGS. Increasing the sample size for a specific phenotype is …

The predictive performance of polygenic scores (PGS) in clinical risk models is largely
dependent on the number of samples available to train the score, together with the …

Objective: Despite being a powerful tool to identify novel variants, genome-wide association
studies (GWAS) are not sufficient to explain the biological function of variants. In this study …

We construct non-linear machine learning (ML) prediction models for systolic and diastolic
blood pressure (SBP, DBP) using demographic and clinical variables and polygenic risk …

Facial ancestry can be described as variation that exists in facial features that are shared
amongst members of a population due to environmental and genetic effects. Even within …

Adversarial attacks can drastically change the output of a method by small alterations to its
input. While this can be a useful framework to analyze worst-case robustness, it can also be …