A pooling-based genome-wide analysis identifies new potential candidate genes for atopy in the European Community Respiratory Health Survey (ECRHS)

<p>Abstract</p> <p>Background</p> <p>Asthma and atopy are complex phenotypes with shared genetic component. In this study we attempt to identify genes related to these traits performing a two-stage DNA pooling genome-wide analysis in order to reduce costs. First, we assessed all markers in a subset of subjects using DNA pooling, and in a second stage we evaluated the most promising markers at an individual level.</p> <p>Methods</p> <p>For the genome-wide analysis, we constructed DNA pools from 75 subjects with atopy and asthma, 75 subjects with atopy and without asthma and 75 control subjects without atopy or asthma. In a second stage, the most promising regions surrounding significant markers after correction for false discovery rate were replicated with individual genotyping of samples included in the pools and an additional set of 429 atopic subjects and 222 controls from the same study centres.</p> <p>Results</p> <p><it>Homo sapiens </it>protein kinase-like protein SgK493 (<it>SGK493</it>) was found to be associated with atopy. To lesser extent mitogen-activated protein kinase 5 (<it>MAP3K5</it>), collagen type XVIII alpha 1 (<it>COL18A1</it>) and collagen type XXIX alpha 1 (<it>COL29A1</it>) were also found to be associated with atopy. Functional evidences points out a role for <it>MAP3K5</it>, <it>COL18A1 </it>and <it>COL29A1 </it>but the function of <it>SGK493 </it>is unknown.</p> <p>Conclusion</p> <p>In this analysis we have identified new candidate regions related to atopy and suggest <it>SGK493 </it>as an atopy locus, although these results need further replication.</p

Investment in online self-evaluation tests: A theoretical approach

BACKGROUND: Large-scale traumatic events may burden any affected public health system with consequential charges. One major post-disaster, expense factor emerges form early psychological interventions and subsequent, posttraumatic mental health care. Due to the constant increase in mental health care costs, also post-disaster public mental health requires best possible, cost-effective care systems. Screening and monitoring the affected population might be one such area to optimize the charges. METHODS: This paper analyzes the potential cost-effectiveness of monitoring a psychologically traumatized population and to motivate individuals at risk to seek early treatment. As basis for our model served Grossman's health production function, which was modified according to fundamental concepts of cost-benefit analyzes, to match the basic conditions of online monitoring strategies. We then introduce some fundamental concepts of cost-benefit analysis. RESULTS: When performing cost-benefit analyses, policy makers have to consider both direct costs (caused by treatment) and indirect costs (due to non-productivity). Considering both costs sources we find that the use of Internet-based psychometric screening instruments may reduce the duration of future treatment, psychological burden and treatment costs. CONCLUSION: The identification of individuals at risk for PTSD following a disaster may help organizations prevent both the human and the economic costs of this disease. Consequently future research on mental health issues should put more emphasis on the importance of monitoring to detect early PTSD and focus the most effective resources within early treatment and morbidity prevention