The contributions of genetic interactions to natural trait variation are challenging to estimate experimentally, as current approaches for detecting epistasis are often underpowered. Powerful mapping approaches such as bulk segregant analysis, wherein individuals with extreme phenotypes are pooled for genotyping, obscure epistasis by averaging over genotype combinations. To accurately characterize and quantify epistasis underlying natural trait variation, we have engineered strains of the budding yeast to enable crosses where one parent's chromosome is fixed while the rest of the chromosomes segregate.
View Article and Find Full Text PDFObjective: The Hospital Readmissions Reduction Program (HRRP), started under the Patient Protection and Affordable Care Act and administered by the Centers for Medicare and Medicaid Services, was created with the intention to improve healthcare quality and costs. However, research on disparities in healthcare demonstrates the HRRP's protocolized risk-adjustment calculations neglect social factors, which consequently harms disadvantaged patient populations and unfairly contributes to clinician and hospital penalties.
Methods: A PRISMA literature review was conducted using PubMed and Cochrane Library to explore the inclusion of social factors such as socioeconomic status on risk-adjustment calculations, and their relation to healthcare disparities, penalties, and outcomes.