While genome-wide association studies have identified susceptibility variants for numerous
traits, their combined utility for predicting broad measures of health, such as mortality …

Polygenic scores (PGS) can be used for risk stratification by quantifying individuals' genetic
predisposition to disease, and many potentially clinically useful applications have been …

Cardiovascular disease is the leading contributor to years lost due to disability or premature
death among adults. Current efforts focus on risk prediction and risk factor mitigation ‚which …

Clinical use of polygenic risk scores (PRS) will look very different to the more familiar
monogenic testing. Here we argue that despite these differences, most of the ethical, legal …

Purpose Assessing the risk of common, complex diseases requires consideration of clinical
risk factors as well as monogenic and polygenic risks, which in turn may be reflected in …

Background Clinical laboratory (lab) tests are used in clinical practice to diagnose, treat, and
monitor disease conditions. Test results are stored in electronic health records (EHRs), and …

Cardiometabolic diseases contribute more to global morbidity and mortality than any other
group of disorders. Polygenic risk scores (PRSs), the weighted summation of individually …

The prediction of disease risks is an essential part of personalized medicine, which includes
early disease detection, prevention, and intervention. The polygenic risk score (PRS) has …

Abstract Background Polygenic risk scores (PRSs) are a summarization of an individual's
genetic risk for a disease or trait. These scores are being generated in research and …

Clinical implementation of new prediction models requires evaluation of their utility in a
broad range of intended use populations. Here we develop and validate ancestry-specific …