Self-employment among the Armed Forces Community

The Institute for Employment Research at the University of Warwick, QinetiQ and X-Forces Enterprise were commissioned by Forces in Mind Trust to understand what more could be done to support the Armed Forces Community in pursuing self-employment and thereby help to maximise their chances of a successful and sustainable transition. This research seeks to fill the current gap in knowledge and contribute to policy-making and service delivery

FastEpistasis: a high performance computing solution for quantitative trait epistasis

Motivation: Genome-wide association studies have become widely used tools to study effects of genetic variants on complex diseases. While it is of great interest to extend existing analysis methods by considering interaction effects between pairs of loci, the large number of possible tests presents a significant computational challenge. The number of computations is further multiplied in the study of gene expression quantitative trait mapping, in which tests are performed for thousands of gene phenotypes simultaneously. Results: We present FastEpistasis, an efficient parallel solution extending the PLINK epistasis module, designed to test for epistasis effects when analyzing continuous phenotypes. Our results show that the algorithm scales with the number of processors and offers a reduction in computation time when several phenotypes are analyzed simultaneously. FastEpistasis is capable of testing the association of a continuous trait with all single nucleotide polymorphism (SNP) pairs from 500 000 SNPs, totaling 125 billion tests, in a population of 5000 individuals in 29, 4 or 0.5 days using 8, 64 or 512 processors. Availability: FastEpistasis is open source and available free of charge only for non-commercial users from http://www.vital-it.ch/software/FastEpistasis Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics onlin

FastEpistasis: a high performance computing solution for quantitative trait epistasis.

Motivation: Genome-wide association studies have become widely used tools to study effects of genetic variants on complex diseases. While it is of great interest to extend existing analysis methods by considering interaction effects between pairs of loci, the large number of possible tests presents a significant computational challenge. The number of computations is further multiplied in the study of gene expression quantitative trait mapping, in which tests are performed for thousands of gene phenotypes simultaneously. Results: We present FastEpistasis, an efficient parallel solution extending the PLINK epistasis module, designed to test for epistasis effects when analyzing continuous phenotypes. Our results show that the algorithm scales with the number of processors and offers a reduction in computation time when several phenotypes are analyzed simultaneously. FastEpistasis is capable of testing the association of a continuous trait with all single nucleotide polymorphism ( SNP) pairs from 500 000 SNPs, totaling 125 billion tests, in a population of 5000 individuals in 29, 4 or 0.5 days using 8, 64 or 512 processors

Collagenous gastritis, a new spectrum of disease in pediatric patients: two case reports

Collagenous gastritis is a rare gastrointestinal disorder characterized in pediatrics by abdominal pain and anemia. The literature divides collagenous gastritis into distinct pediatric-onset and adult-onset phenotypes. As opposed to pediatric form, the adult form is associated with collagenous colitis and presents clinically with voluminous non-bloody diarrhea. There are over 25 case reports of collagenous gastritis of which 10 are pediatric cases. We present two cases of pediatric onset collagenous gastritis: one with a classic pediatric presentation, the other with findings typical of adult-onset disease. This is the first report of the adult-onset phenotype collagenous gastritis in a pediatric patient

Anthropology, Human Rights, and Legal Knowledge: Culture in the Iron Cage

In this article, I draw on ethnography in the particular zone of engagement between anthropologists, on the one hand, and human rights lawyers who are skeptical of the human rights regime, on the other hand. I argue that many of the problems anthropologists encounter with the appropriation and marginalization of anthropology\u27s analytical tools can be understood in terms of the legal character of human rights. In particular, discursive engagement between anthropology and human rights is animated by the pervasive instrumentalism of legal knowledge. I contend that both anthropologists who seek to describe the culture of human rights and lawyers who critically engage the human rights regime share a common problem—that of the “iron cage” of legal instrumentalism. I conclude that an ethnographic method reconfigured as a matter of what I term circling back—as opposed to cultural description—offers a respite from the hegemony of legal instrumentalism

Exon arrays provide accurate assessments of gene expression

We have developed a strategy for estimating gene expression on Affymetrix Exon arrays. The method includes a probe-specific background correction and a probe selection strategy in which a subset of probes with highly correlated intensities across multiple samples are chosen to summarize gene expression. Our results demonstrate that the proposed background model offers improvements over the default Affymetrix background correction and that Exon arrays may provide more accurate measurements of gene expression than traditional 3' arrays

Effect of withdrawal of co-proxamol on prescribing and deaths from drug poisoning in England and Wales: time series analysis

Objective To assess the effect of the UK Committee on Safety of Medicines’ announcement in January 2005 of withdrawal of co-proxamol on analgesic prescribing and poisoning mortality

Cross-hybridization modeling on Affymetrix exon arrays

Motivation: Microarray designs have become increasingly probe-rich, enabling targeting of specific features, such as individual exons or single nucleotide polymorphisms. These arrays have the potential to achieve quantitative high-throughput estimates of transcript abundances, but currently these estimates are affected by biases due to cross-hybridization, in which probes hybridize to off-target transcripts