A Critical Discourse Analysis of the Obama Administration's Education Speeches

This qualitative study examined 45 education speeches presented by President Obama and leaders of the U.S. Department of Education from January 2009 through December 2010. These speeches were interpreted with the use of critical discourse analysis and reviewed through the lens of interest convergence theory. The first aim of the researcher was to uncover the underlying ideologies represented in the Obama Administration's education speeches. The second objective was to understand how those ideologies impacted the Administration's proposed reform ideas. Specifically, the researcher was interested in how the underpinning ideologies and proposed solutions affected the education of poor students of color. The researcher found four primary ideologies in the education speeches. First, every speech was coupled with an economic agenda. Second, the speakers displayed great concern over America's ability to remain a global economic leader. Third, there was an emphasis on the role of education in promoting equal opportunity and a belief in the American Dream. Finally, the speakers showed a deficit-oriented perception of students of color. The researcher discovered that economic ideologies inspired the Obama Administration's proposed solutions. As such, the author argues that the Obama Administration utilized interest convergence by focusing on the economic self-interests of white policymakers. This study concludes with the author's recommendations for change in the education of poor students of color. The author calls for strategic alliances throughout group identities in order to achieve educational equity

Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank

Cardiometabolic diseases are the leading cause of death worldwide. Despite a known genetic component, our understanding of these diseases remains incomplete. Here, we analyzed the contribution of rare variants to 57 diseases and 26 cardiometabolic traits, using data from 200,337 UK Biobank participants with whole-exome sequencing. We identified 57 gene-based associations, with broad replication of novel signals in Geisinger MyCode. There was a striking risk associated with mutations in known Mendelian disease genes, including MYBPC3, LDLR, GCK, PKD1 and TTN. Many genes showed independent convergence of rare and common variant evidence, including an association between GIGYF1 and type 2 diabetes. We identified several large effect associations for height and 18 unique genes associated with blood lipid or glucose levels. Finally, we found that between 1.0% and 2.4% of participants carried rare potentially pathogenic variants for cardiometabolic disorders. These findings may facilitate studies aimed at therapeutics and screening of these common disorders