Aesthetics in Science, as Practised by Quakers in the Eighteenth and Nineteenth Centuries

Drawing on examples from the eighteenth and nineteenth centuries, it will be argued that the sciences - but particularly observational sciences such as astronomy, botany and meteorology - were highly acceptable to Quakers. Moreover, the study of nature was vested with an aesthetic that emphasised God as the Creator of nature and of order and beauty in the natural world. While many wealthy Quakers participated in these sciences, botany also provided employment for Quakers from less affiuent backgrounds. Hence a number Quakers made careers as botanical lecturers, writers, publishers and illustrators. The role of the botanical illustrator is explored to show that the aim was to portray nature- God\u27s Creation- with integrity. This made botanical illustration, as opposed to most other forms of art, an acceptable activity

How Successful Were Quakers at Science?

The impressively high proportion of Quakers in the Royal Society has often been cited to support the claim that Quakers have been far more successful at science than the general population. However, this supporting evidence is shown to be highly problematic and demonstrably false. Moreover, attempts to establish the superiority of Quakers in science have diverted attention away from more interesting and important historical questions

Comparison of Pathway Analysis Approaches Using Lung Cancer GWAS Data Sets

Pathway analysis has been proposed as a complement to single SNP analyses in GWAS. This study compared pathway analysis methods using two lung cancer GWAS data sets based on four studies: one a combined data set from Central Europe and Toronto (CETO); the other a combined data set from Germany and MD Anderson (GRMD). We searched the literature for pathway analysis methods that were widely used, representative of other methods, and had available software for performing analysis. We selected the programs EASE, which uses a modified Fishers Exact calculation to test for pathway associations, GenGen (a version of Gene Set Enrichment Analysis (GSEA)), which uses a Kolmogorov-Smirnov-like running sum statistic as the test statistic, and SLAT, which uses a p-value combination approach. We also included a modified version of the SUMSTAT method (mSUMSTAT), which tests for association by averaging χ2 statistics from genotype association tests. There were nearly 18000 genes available for analysis, following mapping of more than 300,000 SNPs from each data set. These were mapped to 421 GO level 4 gene sets for pathway analysis. Among the methods designed to be robust to biases related to gene size and pathway SNP correlation (GenGen, mSUMSTAT and SLAT), the mSUMSTAT approach identified the most significant pathways (8 in CETO and 1 in GRMD). This included a highly plausible association for the acetylcholine receptor activity pathway in both CETO (FDR≤0.001) and GRMD (FDR = 0.009), although two strong association signals at a single gene cluster (CHRNA3-CHRNA5-CHRNB4) drive this result, complicating its interpretation. Few other replicated associations were found using any of these methods. Difficulty in replicating associations hindered our comparison, but results suggest mSUMSTAT has advantages over the other approaches, and may be a useful pathway analysis tool to use alongside other methods such as the commonly used GSEA (GenGen) approach