Efficacy in Screening Patients for Lynch Syndrome

Lynch syndrome is an autosomal dominant syndrome caused by an inherited germline mutation of the MMR proteins. A mutation of any of the MMR proteins, MLH1, MSH2, MSH6, PMS2 and EPCAM increases the risk of developing cancer, specifically colorectal and endometrial cancer. Approximately 3% of colorectal cancers are associated with Lynch Syndrome (LS). Early identification of a patient’s hereditary cancer risk offers the best outcome. To aid clinicians in the identification of a carrier of LS clinical guidelines and risk prediction models are used. In this analysis the Amsterdam II criteria and Revised Bethesda guidelines are compared to the more recent prediction models, PREMM, MMRproand MMRpredictto identify if further tumor testing or germline sequences should be considered. A meta-analysis comparing clinical criteria to the predication models produced results identifying the prediction models with both a specificityand sensitivity of \u3e90% of predicting MMR protein mutations (Win , 2013). The performance of each model compared to Amsterdam or Bethesda guidelines was found to exceed the clinical criteria’s ability to discriminate LS carriers from noncarriers(Katrinos, Balmana,& Syngal, 2013).https://commons.und.edu/pas-grad-posters/1082/thumbnail.jp

On Our Dog\u27s Birthday

pages 18-1

The Ontology of Dogs

page 3

Listening to Chopin in Early Winter

page 3

SPIDERS: Selection of spectroscopic targets using AGN candidates detected in all-sky X-ray surveys

SPIDERS (SPectroscopic IDentification of eROSITA Sources) is an SDSS-IV survey running in parallel to the eBOSS cosmology project. SPIDERS will obtain optical spectroscopy for large numbers of X-ray-selected AGN and galaxy cluster members detected in wide area eROSITA, XMM-Newton and ROSAT surveys. We describe the methods used to choose spectroscopic targets for two sub-programmes of SPIDERS: X-ray selected AGN candidates detected in the ROSAT All Sky and the XMM-Newton Slew surveys. We have exploited a Bayesian cross-matching algorithm, guided by priors based on mid-IR colour-magnitude information from the WISE survey, to select the most probable optical counterpart to each X-ray detection. We empirically demonstrate the high fidelity of our counterpart selection method using a reference sample of bright well-localised X-ray sources collated from XMM-Newton, Chandra and Swift-XRT serendipitous catalogues, and also by examining blank-sky locations. We describe the down-selection steps which resulted in the final set of SPIDERS-AGN targets put forward for spectroscopy within the eBOSS/TDSS/SPIDERS survey, and present catalogues of these targets. We also present catalogues of ~12000 ROSAT and ~1500 XMM-Newton Slew survey sources which have existing optical spectroscopy from SDSS-DR12, including the results of our visual inspections. On completion of the SPIDERS program, we expect to have collected homogeneous spectroscopic redshift information over a footprint of ~7500 deg$^2$ for >85 percent of the ROSAT and XMM-Newton Slew survey sources having optical counterparts in the magnitude range 17<r<22.5, producing a large and highly complete sample of bright X-ray-selected AGN suitable for statistical studies of AGN evolution and clustering.Comment: MNRAS, accepte

At the Circus of The Dead

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It\u27s Hard to Know Where to Begin

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Plants Rather than Mineral Fertilization Shape Microbial Community Structure and Functional Potential in Legacy Contaminated Soil

Plant-microbe interactions are of particular importance in polluted soils. This study sought to determine how selected plants (horseradish, black nightshade and tobacco) and NPK mineral fertilization shape the structure of soil microbial communities in legacy contaminated soil and the resultant impact of treatment on the soil microbial community functional potential. To explore these objectives, we combined shotgun metagenomics and 16S rRNA gene amplicon high throughput sequencing with data analysis approaches developed for RNA-seq. We observed that the presence of any of the selected plants rather than fertilization shaped the microbial community structure, and the microbial populations of the root zone of each plant significantly differed from one another and/or from the bulk soil, whereas the effect of the fertilizer proved to be insignificant. When we compared microbial diversity in root zones versus bulk soil, we observed an increase in the relative abundance of Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria or Bacteroidetes, taxa which are commonly considered copiotrophic. Our results thus align with the theory that fast-growing, copiotrophic, microorganisms which are adapted to ephemeral carbon inputs are enriched in the vegetated soil. Microbial functional potential indicated that some genetic determinants associated with signal transduction mechanisms, defense mechanisms or amino acid transport and metabolism differed significantly among treatments. Genetic determinants of these categories tend to be overrepresented in copiotrophic organisms. The results of our study further elucidate plant-microbe relationships in a contaminated environment with possible implications for the phyto/rhizoremediation of contaminated areas