Department of Public Defense: Iowa Homeland Security and Emergency Management Division, FY2009

Agency Performance Report

Department of Public Defense: Iowa Homeland Security and Emergency Management Division, FY2011

Agency Performance Report

Department of Public Defense: Iowa Homeland Security and Emergency Management Division, FY2012

Agency Performance Report

Iowa Department of Public Defense Performance Report, FY2004

Agency Performance Report

Iowa Department of Public Defense Performance Report, FY2007

Agency Performance Report

Iowa Department of Public Defense Performance Report, FY2008

Agency Performance Report

Iowa Department of Public Defense Performance Report, FY2009

Agency Performance Report

Iowa Department of Public Defense Performance Report, FY2010

Agency Performance Report

Iowa Department of Public Defense Performance Report, FY2012

Agency Performance Report

Development of a Sensitive Resource Use Questionnaire

Alcoholism is a chronic disease and the evaluation of its burden usually focuses on long-term co-morbidity and mortality. Clinical Trials evaluating new interventions for alcohol-dependent patients rarely last more than 12 to 24 months. OBJECTIVES: Develop a questionnaire capable of capturing principal resource use yet sensitive enough to show short-term economic benefit of drugs developed to reduce consump¬tion in alcohol-dependent patients. METHODS: Comprehensive Medline literature search using keywords: Alcohol-related-disorders, economics, cost of illness. Further, experts panel discussions provided additional data. RESULTS: Two key cost drivers, hospitalisation and sick leaves were identified by the literature review. Expert findings related to costs of social consequences were incorporated. These three important resources were included in the questionnaire in addition to standard medical resource use consumption input. Finally, the following items were included: consultation visits, hospitalisations, sick leaves and working situation, living situation, social environ¬ment, accidents, arrests and domestic violence. The recall period is 3 months. DISCUSSION: A great deal of information is collected in this questionnaire in order to capture all relevant resources. Tests to validate the questionnaire in a real-life setting will be conducted (face validity, concurrent validity, and test-retest) in a cohort of dependent patients initiated at Lausanne University hospital ( Switzerland). Items not sensitive enough to capture short-term costs and consequences will be removed. Translation into other major languages and adaptation to different settings after cultural validation is planned. CONCLUSIONS: Publication of this tool should facilitate additional knowledge about resource utilisation at the patient level and enable evaluation of short-term economic impact of pharmacological and non-pharmacological interventions.

Iowa Department of Public Defense Performance Plan, FY2013

Agency Performance Plan, Iowa Department of Public Defense

Iowa Department of Public Defense Performance Plan, FY2014

Agency Performance Plan, Iowa Department of Public Defense

Audit report on the Wireless E911 Emergency Communications Fund of the Iowa Homeland Security and Emergency Management Division of the Iowa Department of Public Defense for the year ended June 30, 2013

Audit report on the Wireless E911 Emergency Communications Fund of the Iowa Homeland Security and Emergency Management Division of the Iowa Department of Public Defense for the year ended June 30, 2013

The GENCODE pseudogene resource.

BACKGROUND: Pseudogenes have long been considered as nonfunctional genomic sequences. However, recent evidence suggests that many of them might have some form of biological activity, and the possibility of functionality has increased interest in their accurate annotation and integration with functional genomics data. RESULTS: As part of the GENCODE annotation of the human genome, we present the first genome-wide pseudogene assignment for protein-coding genes, based on both large-scale manual annotation and in silico pipelines. A key aspect of this coupled approach is that it allows us to identify pseudogenes in an unbiased fashion as well as untangle complex events through manual evaluation. We integrate the pseudogene annotations with the extensive ENCODE functional genomics information. In particular, we determine the expression level, transcription-factor and RNA polymerase II binding, and chromatin marks associated with each pseudogene. Based on their distribution, we develop simple statistical models for each type of activity, which we validate with large-scale RT-PCR-Seq experiments. Finally, we compare our pseudogenes with conservation and variation data from primate alignments and the 1000 Genomes project, producing lists of pseudogenes potentially under selection. CONCLUSIONS: At one extreme, some pseudogenes possess conventional characteristics of functionality; these may represent genes that have recently died. On the other hand, we find interesting patterns of partial activity, which may suggest that dead genes are being resurrected as functioning non-coding RNAs. The activity data of each pseudogene are stored in an associated resource, psiDR, which will be useful for the initial identification of potentially functional pseudogenes.