Association Analysis of 94 Candidate Genes and Schizophrenia-Related Endophenotypes

While it is clear that schizophrenia is highly heritable, the genetic basis of this heritability is complex. Human genetic, brain imaging, and model organism studies have met with only modest gains. A complementary research tactic is to evaluate the genetic substrates of quantitative endophenotypes with demonstrated deficits in schizophrenia patients. We used an Illumina custom 1,536-SNP array to interrogate 94 functionally relevant candidate genes for schizophrenia and evaluate association with both the qualitative diagnosis of schizophrenia and quantitative endophenotypes for schizophrenia. Subjects included 219 schizophrenia patients and normal comparison subjects of European ancestry and 76 schizophrenia patients and normal comparison subjects of African ancestry, all ascertained by the UCSD Schizophrenia Research Program. Six neurophysiological and neurocognitive endophenotype test paradigms were assessed: prepulse inhibition (PPI), P50 suppression, the antisaccade oculomotor task, the Letter-Number Span Test, the California Verbal Learning Test-II, and the Wisconsin Card Sorting Test-64 Card Version. These endophenotype test paradigms yielded six primary endophenotypes with prior evidence of heritability and demonstrated schizophrenia-related impairments, as well as eight secondary measures investigated as candidate endophenotypes. Schizophrenia patients showed significant deficits on ten of the endophenotypic measures, replicating prior studies and facilitating genetic analyses of these phenotypes. A total of 38 genes were found to be associated with at least one endophenotypic measure or schizophrenia with an empirical p-value<0.01. Many of these genes have been shown to interact on a molecular level, and eleven genes displayed evidence for pleiotropy, revealing associations with three or more endophenotypic measures. Among these genes were ERBB4 and NRG1, providing further support for a role of these genes in schizophrenia susceptibility. The observation of extensive pleiotropy for some genes and singular associations for others in our data may suggest both converging and independent genetic (and neural) pathways mediating schizophrenia risk and pathogenesis

Training Advanced Practice Providers to Collect Functional Outcomes After Fragility Fractures

Objective: The objective of this study was to determine whether advanced practice providers could learn to collect objective functional assessment data accurately and efficiently with commercially available devices that measure kinematics and kinetics (Nintendo Wii Balance Board [WBB] and Level Belt [LB]) to aid in the assessment of fall risk and outcomes after fragility fractures. Methods: Nine advanced practice providers participated in a 1-hour clinical assessment tools (CATs) training session on equipment use, providing standardized instructions, and practice of the testing procedures. Afterward, they participated in a skills demonstration evaluation and completed a postsession survey. Results: Participants successfully achieved a mean of 18.22 (standard deviation 1.56) of 20 performance measures. Of the incomplete or omitted tasks, the majority (10 of 16) occurred within the first of 3 CATs activities. Postsession survey results revealed that 9 of 9 participants reported that the 1 hour provided for training on the CATs was sufficient. All participants reported that after the training, they felt confident they could reliably carry out the tasks to test patients on both the WBB and the LB. The majority of participants reported that they believed that the WBB (7 of 9) and LB (8 out of 9) would be good assets to clinics in assessing patient functionality after fragility fractures. Conclusion: These results indicate that advanced practice providers can confidently learn and effectively test patients with the WBB and LB within 1 hour of training. In the future, adoption of CATs in the clinical setting may allow for objective, easy-to-use, portable, noninvasive, and relatively inexpensive measures to assess functional outcomes in patients with fragility fracture

Which Foods May Be Addictive? The Roles of Processing, Fat Content, and Glycemic Load

http://deepblue.lib.umich.edu/bitstream/2027.42/109750/1/StudyOne_FoodListMeans.savhttp://deepblue.lib.umich.edu/bitstream/2027.42/109750/2/StudyOne_Demographics.savhttp://deepblue.lib.umich.edu/bitstream/2027.42/109750/3/StudyTwo_LevelOne.savhttp://deepblue.lib.umich.edu/bitstream/2027.42/109750/4/StudyTwo_LevelTwo.savDescription of StudyOne_FoodListMeans.sav : Dataset for calculating the food frequencies in Study One (Table 2)Description of StudyOne_Demographics.sav : Dataset for demographics in Study OneDescription of StudyTwo_LevelOne.sav : Dataset for HLM level one in Study TwoDescription of StudyTwo_LevelTwo.sav : Dataset for HLM level two in Study Tw