A person's risk of developing diseases such as type 2 diabetes or breast cancer may be influenced by thousands of genetic differences. Looking at a single DNA difference that has a small effect on ...

Cardiovascular disease ("CVD") is the leading cause of death in the US and worldwide with over 82 million Americans living with CVD. CVD accounts for one in every three deaths in the US, or more than ...

Many statistical models and algorithms used by scientists can be imagined as a "black box." These models are powerful tools that give accurate predictions, but their internal workings are not easily ...

A polygenic risk score (PRS) is used to predict how likely it is that someone will develop a particular disease, based on the presence of a vast number of tiny variant regions in their genome. The PRS ...

Please provide your email address to receive an email when new articles are posted on . More research is needed for preimplantation genetic testing for polygenic disorders. Now, it cannot account for ...

The information held within our genes and how it can be used to improve individual health, continues to generate excitement amongst researchers, health professionals and policymakers. The potential to ...

The role of polygenic risk scores in patients with idiopathic pulmonary fibrosis (IPF) may be influenced by telomere length, according to a recent study published in The Lancet Respiratory Medicine. 1 ...

Engineers introduce DAP, a streamlined CRISPR-based technology that can perform many genome edits at once to address polygenic diseases caused by more than one glitch. A genome-editing strategy ...

The PhD student with a background in physics, is not only focused on the performance of statistical models for genomic predictions but is also keen on understanding the underlying biological ...

Live Science spoke with a bioethicist and sociologist about emerging genomic technologies, including those that enable parents to "score" and "select" IVF embryos.

"Monogenic" diseases, triggered by mutations in just one gene, may actually be more complex than scientists thought.