A Study of Cattle "Temperament" and its Measurement

Author Institution: State Normal School, Stevens Point, Wisconsi

Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization.

The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain ∼8-10% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD

Development of Refractive Errors—What Can We Learn From Inherited Retinal Dystrophies?

Purpose It is unknown which retinal cells are involved in the retina-to-sclera signaling cascade causing myopia. As inherited retinal dystrophies (IRD) are characterized by dysfunction of a single retinal cell type and have a high risk of refractive errors, a study investigating the affected cell type, causal gene, and refractive error in IRDs may provide insight herein. Design Case-control study. Methods STUDY POPULATION: Total of 302 patients with IRD from 2 ophthalmogenetic centers in the Netherlands. REFERENCE POPULATION: Population-based Rotterdam Study-III and Erasmus Rucphen Family Study (N = 5550). Distributions and mean spherical equivalent (SE) were calculated for main affected cell type and causal gene; and risks of myopia and hyperopia were evaluated using logistic regression. Results Bipolar cell-related dystrophies were associated with the highest risk of SE high myopia 239.7; odds ratio (OR) mild hyperopia 263.2, both P <.0001; SE −6.86 diopters (D) (standard deviation [SD] 6.38), followed by cone-dominated dystrophies (OR high myopia 19.5, P <.0001; OR high hyperopia 10.7, P =.033; SE −3.10 D [SD 4.49]); rod dominated dystrophies (OR high myopia 10.1, P <.0001; OR high hyperopia 9.7, P =.001; SE −2.27 D [SD 4.65]), and retinal pigment epithelium (RPE)-related dystrophies (OR low myopia 2.7; P =.001; OR high hyperopia 5.8; P =.025; SE −0.10 D [SD 3.09]). Mutations in RPGR (SE −7.63 D [SD 3.31]) and CACNA1F (SE −5.33 D [SD 3.10]) coincided with the highest degree of myopia and in CABP4 (SE 4.81 D [SD 0.35]) with the highest degree of hyperopia. Conclusions Refractive errors, in particular myopia, are common in IRD. The bipolar synapse and the inner and outer segments of the photoreceptor may serve as critical sites for myopia development

Development of Refractive Errors—What Can We Learn From Inherited Retinal Dystrophies?

Purpose It is unknown which retinal cells are involved in the retina-to-sclera signaling cascade causing myopia. As inherited retinal dystrophies (IRD) are characterized by dysfunction of a single retinal cell type and have a high risk of refractive errors, a study investigating the affected cell type, causal gene, and refractive error in IRDs may provide insight herein. Design Case-control study. Methods STUDY POPULATION: Total of 302 patients with IRD from 2 ophthalmogenetic centers in the Netherlands. REFERENCE POPULATION: Population-based Rotterdam Study-III and Erasmus Rucphen Family Study (N = 5550). Distributions and mean spherical equivalent (SE) were calculated for main affected cell type and causal gene; and risks of myopia and hyperopia were evaluated using logistic regression. Results Bipolar cell-related dystrophies were associated with the highest risk of SE high myopia 239.7; odds ratio (OR) mild hyperopia 263.2, both P <.0001; SE −6.86 diopters (D) (standard deviation [SD] 6.38), followed by cone-dominated dystrophies (OR high myopia 19.5, P <.0001; OR high hyperopia 10.7, P =.033; SE −3.10 D [SD 4.49]); rod dominated dystrophies (OR high myopia 10.1, P <.0001; OR high hyperopia 9.7, P =.001; SE −2.27 D [SD 4.65]), and retinal pigment epithelium (RPE)-related dystrophies (OR low myopia 2.7; P =.001; OR high hyperopia 5.8; P =.025; SE −0.10 D [SD 3.09]). Mutations in RPGR (SE −7.63 D [SD 3.31]) and CACNA1F (SE −5.33 D [SD 3.10]) coincided with the highest degree of myopia and in CABP4 (SE 4.81 D [SD 0.35]) with the highest degree of hyperopia. Conclusions Refractive errors, in particular myopia, are common in IRD. The bipolar synapse and the inner and outer segments of the photoreceptor may serve as critical sites for myopia development

Maps, Knowledge and Resilience: Application of ArcGIS in Building Small Islands’ Resilience to Climate Change

Small, low-lying islands are one of the most vulnerable social-ecological systems to climate change. Inundation caused by storm surges and sea level rise makes habitability a serious concern for islanders. This chapter explores how co-production of knowledge through a collaborative local and scientific inquiry could contribute to small islands’ resilience to climate change. Experience suggests that knowledge co-production, mediated by mapping, in particular socially critical application of geographic information systems (GIS), can enhance islanders’ ability to cope with climate-related perturbations. Valuing islanders’ accumulated experience of coping with past climate change periods and better understanding knowledge creation processes related to the currently unfolding climate change are recognised as important elements of local adaptation to climate change. Diversifying epistemological perspectives through engaging local and scientific methodologies in knowledge co-production is expected to facilitate spatial and temporal pattern recognition, a key component of early warning systems. Despite the merits, collaborative inquiries, however, are still uncommon. Key points are illustrated by case material from the Union Territory of Lakshadweep, India, and other small islands of the Indian and Pacific Ocean