Abstract

The primary aims of Core A: Biostatistics, Epidemiology and Administrative are to maintain a high level of statistical competency, uniform standards of measurements and high quality of data for the research projects and to administer the overall program project. Core A will perform data management for the projects. A relational database is used to manage the data and increase the efficiency and accuracy of data flow. This core will also be responsible for the measurements of bone mass, anthropometrics, dietary intake, and physical activity for Projects 1 and 2. Existing quality assurance programs for these measurements will be continued while new programs will be developed and implemented for new measurements, such as peripheral quantitative tomography for the rats in Project 3. In addition, this core will perform statistical analysis on the comparison of strains of rats in Project 3, and on epidemiologic questions arising from data collected in Projects 1 and 2. Core A ill be responsible for the financial and overall administration of the entire program project.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
3P01AG018397-02S1
Application #
6470579
Study Section
Special Emphasis Panel (ZAG1)
Project Start
2001-07-15
Project End
2002-06-30
Budget Start
Budget End
Support Year
2
Fiscal Year
2001
Total Cost
Indirect Cost

  Institution

Name
Indiana University-Purdue University at Indianapolis
Department
Type
DUNS #
005436803
City
Indianapolis
State
IN
Country
United States
Zip Code
46202

  Publications

Robinson-Cohen, Cassianne; Bartz, Traci M; Lai, Dongbing et al. (2018) Genetic Variants Associated with Circulating Fibroblast Growth Factor 23. J Am Soc Nephrol 29:2583-2592
Zeng, Y; Zhang, L; Zhu, W et al. (2017) Network based subcellular proteomics in monocyte membrane revealed novel candidate genes involved in osteoporosis. Osteoporos Int 28:3033-3042
Koller, Daniel L; Imel, Erik A; Lai, Dongbing et al. (2016) Genome-wide association study of serum iron phenotypes in premenopausal women of European descent. Blood Cells Mol Dis 57:50-3
Pei, Yu-Fang; Tian, Qing; Zhang, Lei et al. (2016) Exploring the Major Sources and Extent of Heterogeneity in a Genome-Wide Association Meta-Analysis. Ann Hum Genet 80:113-22
Pei, Yu-Fang; Hu, Wen-Zhu; Hai, Rong et al. (2016) Genome-wide association meta-analyses identified 1q43 and 2q32.2 for hip Ward's triangle areal bone mineral density. Bone 91:1-10
Niu, Tianhua; Liu, Ning; Yu, Xun et al. (2016) Identification of IDUA and WNT16 Phosphorylation-Related Non-Synonymous Polymorphisms for Bone Mineral Density in Meta-Analyses of Genome-Wide Association Studies. J Bone Miner Res 31:358-68
Liu, Yao-Zhong; Zhou, Yu; Zhang, Lei et al. (2015) Attenuated monocyte apoptosis, a new mechanism for osteoporosis suggested by a transcriptome-wide expression study of monocytes. PLoS One 10:e0116792
Imel, Erik A; Gray, Amie K; Padgett, Leah R et al. (2014) Iron and fibroblast growth factor 23 in X-linked hypophosphatemia. Bone 60:87-92
He, Hao; Zhang, Lei; Li, Jian et al. (2014) Integrative analysis of GWASs, human protein interaction, and gene expression identified gene modules associated with BMDs. J Clin Endocrinol Metab 99:E2392-9
Pei, Yu-Fang; Zhang, Lei; Liu, Yongjun et al. (2014) Meta-analysis of genome-wide association data identifies novel susceptibility loci for obesity. Hum Mol Genet 23:820-30

Showing the most recent 10 out of 86 publications