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.
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.
|Zhang, Kezhong; Kim, Hyunbae; Fu, Zhiyao et al. (2018) Deficiency of the Mitochondrial NAD Kinase Causes Stress-Induced Hepatic Steatosis in Mice. Gastroenterology 154:224-237|
|Dinov, Ivo D; Palanimalai, Selvam; Khare, Ashwini et al. (2018) Randomization-Based Statistical Inference: A Resampling and Simulation Infrastructure. Teach Stat 40:64-73|
|Isaman, Deanna J M; Rothberg, Amy E (2018) Weight Mobility and Obesity in a Representative Sample of the US Adult Population. Int J Endocrinol 2018:4561213|
|Wernisch, Stefanie; Afshinnia, Farsad; Rajendiran, Thekkelnaycke et al. (2018) Probing the application range and selectivity of a differential mobility spectrometry-mass spectrometry platform for metabolomics. Anal Bioanal Chem 410:2865-2877|
|Assari, Shervin (2018) Self-rated Health and Mortality due to Kidney Diseases: Racial Differences in the United States. Adv Biomed Res 7:4|
|Li, Ziru; Hardij, Julie; Bagchi, Devika P et al. (2018) Development, regulation, metabolism and function of bone marrow adipose tissues. Bone 110:134-140|
|Wilson, Matthew J; Sen, Ananda; Bridges, Dave et al. (2018) Higher baseline expression of the PTGS2 gene and greater decreases in total colonic fatty acid content predict greater decreases in colonic prostaglandin-E2 concentrations after dietary supplementation with ?-3 fatty acids. Prostaglandins Leukot Essent Fatty Acids 139:14-19|
|Ryan, Benjamin J; Van Pelt, Douglas W; Guth, Lisa M et al. (2018) Plasma ferritin concentration is positively associated with in vivo fatty acid mobilization and insulin resistance in obese women. Exp Physiol 103:1443-1447|
|Kalinin, Alexandr A; Allyn-Feuer, Ari; Ade, Alex et al. (2018) 3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification. Sci Rep 8:13658|
|Harvey, Innocence; Stephenson, Erin J; Redd, JeAnna R et al. (2018) Glucocorticoid-Induced Metabolic Disturbances Are Exacerbated in Obese Male Mice. Endocrinology 159:2275-2287|
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