Integrative Biostatistics and Informatics Core The Integrative Biostatistics and Informatics Core (IBIC) will provide expertise in experimental design, data management and analysis for preclinical, clinical and translational research studies conducted by MNORC Research Base investigators. The Center will continue important interactions with the Center for Computational Medicine and Bioinformatics (CCMB), the National Center for Integrative Biomedical Informatics (NCIBl), the Michigan Institute for Clinical and Health Research (MICHR) and the Biometrics and Outcomes Research Core (BORC) to provide these services. The Core will support database design for both preclinical and clinical studies. Clinically relevant databases will be Health Insurance Portability and Accountability Act (THIPAAJ compliant. The Core will also provide expertise and tools for data mining of relevant databases as well as assistance and training in the use of various tools for analysis of genomic, transcriptomic, metabolomic and proteomic data. Available tools will allow the integration and analysis of data in temporally or in relationship to phenotypic parameters collected as part of clinical studies. Finally, IBIC personnel will collaborate with ether Cores and the Investigational Weight Management Clinic to develop appropriate data formats and database constructs to integrate clinical, molecular, neurobehavioral and other phenotypic data into formats that ease analysis by biostatistical and informatics methodologies.

Public Health Relevance

The Integrative Biostatistics and Informatics Core will help design and analyze animal and human studies that utilize modern technologies aimed at understanding the causes of obesity and obesity-related diseases. The information gained from these studies may lead to new insights that will provide ways in which obesity or obesity-related diseases can be prevented or treated.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK089503-03
Application #
8378453
Study Section
Special Emphasis Panel (ZDK1-GRB-2)
Project Start
Project End
Budget Start
2012-07-01
Budget End
2013-06-30
Support Year
3
Fiscal Year
2012
Total Cost
$173,034
Indirect Cost
$61,758
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Callaghan, Brian C; Xia, Rong; Reynolds, Evan et al. (2018) Better diagnostic accuracy of neuropathy in obesity: A new challenge for neurologists. Clin Neurophysiol 129:654-662
Zeng, Lixia; Mathew, Anna V; Byun, Jaeman et al. (2018) Myeloperoxidase-derived oxidants damage artery wall proteins in an animal model of chronic kidney disease-accelerated atherosclerosis. J Biol Chem 293:7238-7249
Rumora, Amy E; Lentz, Stephen I; Hinder, Lucy M et al. (2018) Dyslipidemia impairs mitochondrial trafficking and function in sensory neurons. FASEB J 32:195-207
Hussain, Iram; Patni, Nivedita; Ueda, Masako et al. (2018) A Novel Generalized Lipodystrophy-Associated Progeroid Syndrome Due to Recurrent Heterozygous LMNA p.T10I Mutation. J Clin Endocrinol Metab 103:1005-1014
Choksi, Palak; Rothberg, Amy; Kraftson, Andrew et al. (2018) Weight loss and bone mineral density in obese adults: a longitudinal analysis of the influence of very low energy diets. Clin Diabetes Endocrinol 4:14
Djuric, Zora; Bassis, Christine M; Plegue, Melissa A et al. (2018) Colonic Mucosal Bacteria Are Associated with Inter-Individual Variability in Serum Carotenoid Concentrations. J Acad Nutr Diet 118:606-616.e3
Meral, Rasimcan; Ryan, Benjamin J; Malandrino, Noemi et al. (2018) ""Fat Shadows"" From DXA for the Qualitative Assessment of Lipodystrophy: When a Picture Is Worth a Thousand Numbers. Diabetes Care 41:2255-2258
Namkoong, Sim; Ho, Allison; Woo, Yu Mi et al. (2018) Systematic Characterization of Stress-Induced RNA Granulation. Mol Cell 70:175-187.e8
Marino, Simeone; Xu, Jiachen; Zhao, Yi et al. (2018) Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies. PLoS One 13:e0202674
Liu, Dongmei; Morales, Flor Elisa; IglayReger, Heidi B et al. (2018) Expression of macrophage genes within skeletal muscle correlates inversely with adiposity and insulin resistance in humans. Appl Physiol Nutr Metab 43:187-193

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