Random forest classifiers trained on simulated data enable accurate short read-based genotyping of structural variants in the alpha globin region at Chr16p13.3.

In regions where reads don't align well to a reference, it is generally difficult to characterize structural variation using short read sequencing. Here, we utilize machine learning classifiers and short sequence reads to genotype structural variants in the alpha globin locus on chromosome 16, a medically-relevant region that is challenging to genotype in individuals. Using models trained only with simulated data, we accurately genotype two hard-to-distinguish deletions in two separate human cohorts.

Under-reporting and under-representation of non-Hispanic Black subjects in lipid-lowering atherosclerotic cardiovascular disease outcomes trials: A systematic review.

Background: Non-Hispanic (NH) Black participants have been under-represented in studies of cardiovascular disease.

Objective: We sought to determine the trends of reporting and representation of NH Black subjects in randomized controlled trials (RCTs) of lipid-lowering therapies demonstrating atherosclerotic cardiovascular disease (ASCVD) risk reduction benefit.

Methods: The electronic databases of MEDLINE, EMBASE and ClinicalTrials.

Genetic variants of PKLR are associated with acute pain in sickle cell disease.

Acute pain, the most prominent complication of sickle cell disease (SCD), results from vaso-occlusion triggered by sickling of deoxygenated red blood cells (RBCs). Concentration of 2,3-diphosphoglycerate (2,3-DPG) in RBCs promotes deoxygenation by preferentially binding to the low-affinity T conformation of HbS. 2,3-DPG is an intermediate substrate in the glycolytic pathway in which pyruvate kinase (gene PKLR, protein PKR) is a rate-limiting enzyme; variants in PKLR may affect PKR activity, 2,3-DPG levels in RBCs, RBC sickling, and acute pain episodes (APEs).