Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic
health. To date, most genetic studies of glycemic traits have focused on individuals of …

The discovery that HbA1c was a valid and reliable measure of average glucose exposure
was one of the most important advances in diabetes care. HbA1c was rapidly adopted for …

IntroductionAfrican descent populations in the United States have high rates of type 2
diabetes and are incorrectly represented as a single group. Current glycated hemoglobin …

Polygenic scores (PGSs) combine the effects of common genetic variants, to predict risk or
treatment strategies for complex diseases,,,–. Adding rare variation to PGSs has largely …

Technological and computational advances in genomics and interactomics have made it
possible to identify how disease mutations perturb protein–protein interaction (PPI) networks …

Large biobanks, such as the UK Biobank (UKB), enable massive phenome by genome-wide
association studies that elucidate genetic etiology of complex traits. However, individuals …

Associations between human genetic variation and clinical phenotypes have become a
foundation of biomedical research. Most repositories of these data seek to be disease …

Metabolic traits are heritable phenotypes widely-used in assessing the risk of various
diseases. We conduct a genome-wide association analysis (GWAS) of nine metabolic traits …

Osteoarthritis is a common progressive joint disease. As no effective medical interventions
are available, osteoarthritis often progresses to the end stage, in which only surgical options …

Abstract Machine learning (ML) has become increasingly popular in almost all scientific
disciplines, including human genetics. Owing to challenges related to sample collection and …