Cardiovascular disease

By studying individual cardiac cells from heart failure patients, researchers have identified molecular signatures that point to biological mechanisms of disease.

By integrating genomic data from different ancestries, PRS-CSx reduces bias in risk-predicting polygenic scores.

Machine learning analysis of ECGs from more than 120,000 people produces method that could help doctors intervene earlier

Two teams show how inherited mutations can increase a person’s risk of accumulating sporadic mutations in their blood stem cells.

In people with a single-gene variant that puts them at high risk for heart disease, breast cancer, or colorectal cancer, the rest of the genome can alter that risk.

Study reveals surprising genomic swapping that underlies clonal hematopoiesis, a condition that can lead to blood cancer and heart disease.

Analyzing cardiac measurements from large biobanks can uncover genetic predisposition to diseases like heart failure and arrhythmias.

The finding suggests a potentially more targeted way to treat certain patients with the disorder, called CHIP, which commonly affects the elderly

A large genetic study of venous thromboembolism could lead to better ways of identifying and treating people at high risk for the disease.