The world has witnessed a steady rise in both non-infectious and infectious chronic
diseases, prompting a cross-disciplinary approach to understand and treating disease …

Interpreting the effects of genetic variants is key to understanding individual susceptibility to
disease and designing personalized therapeutic approaches. Modern experimental …

Genome-wide association studies provide a powerful means of identifying loci and genes
contributing to disease, but in many cases, the related cell types/states through which genes …

The human and mouse genomes contain instructions that specify RNAs and proteins and
govern the timing, magnitude, and cellular context of their production. To better delineate …

Implementation of polygenic risk scores (PRS) may improve disease prevention and
management but poses several challenges: the construction of clinically valid assays …

Fine-mapping aims to identify causal variants impacting complex traits. We propose
PolyFun, a computationally scalable framework to improve fine-mapping accuracy by …

Meta-analysis is pervasively used to combine multiple genome-wide association studies
(GWASs). Fine-mapping of meta-analysis studies is typically performed as in a single-cohort …

There is a growing need for precise diagnosis and personalized treatment of disease in
recent years. Providing treatment tailored to each patient and maximizing the efficacy and …

The interplay between life sciences and advancing technology drives a continuous cycle of
chemical data growth; these data are most often stored in open or partially open databases …

The application of radiogenomics in oncology has great prospects in precision medicine.
Radiogenomics combines large volumes of radiomic features from medical digital images …