Impressions of action and critical action learning:exploring the leadership development of senior doctors in an English healthcare organization

This paper aims to explore the influence of one cycle of a learning set experience in a postgraduate medical leadership development programme. It does so from two perspectives: first, from the self-reports of nine senior doctors working in leadership roles in England in the National Health Service; and second from a researcher perspective as we present our research process, findings and perceptions on the use of action learning (AL) and critical action learning (CAL) for leadership development in the complex and unpredictable context of that service. The paper affirms other study findings that CAL in the development of participants’ collective reflexivity has the potential to deal with emotions and power relations in organizational life. An original contribution lies in advancing the idea that CAL can help build resilience in doctor leaders and groups in uncertain conditions such that they are able to challenge current care delivery and effect change in organizational performance

Determining crystal structures through crowdsourcing and coursework

We show here that computer game players can build high-quality crystal structures. Introduction of a new feature into the computer game Foldit allows players to build and real-space refine structures into electron density maps. To assess the usefulness of this feature, we held a crystallographic model-building competition between trained crystallographers, undergraduate students, Foldit players and automatic model-building algorithms. After removal of disordered residues, a team of Foldit players achieved the most accurate structure. Analysing the target protein of the competition, YPL067C, uncovered a new family of histidine triad proteins apparently involved in the prevention of amyloid toxicity. From this study, we conclude that crystallographers can utilize crowdsourcing to interpret electron density information and to produce structure solutions of the highest quality

Defining the role of common variation in the genomic and biological architecture of adult human height

Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ∼2,000, ∼3,700 and ∼9,500 SNPs explained ∼21%, ∼24% and ∼29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/β-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants