The overall goal of this Core is to coordinate the program project through 1) efficient administration, 2) optimal designs for the projects, 3) quality assurance of data collection, 4) management of the human phenotype database, 5) tracking of data flow between various components, and 6) statistical analyses of human phenotype data and rat microarray data. The administration tasks include the oversight of budget, coordination of routine and special meetings, liason to external contacts, and any other issues that might arise. The investigators of this Core consult with other investigators to periodically evaluate the study approaches to ensure they are optimized, especially when new information or methods become available. The database is used to store all human phenotype data apart from their genotype data in this Core, assist the project coordinators to run the studies efficiently, to track data flow between various components to ensure completeness and accuracy, and to inform the investigators of the status of their studies. This Core provides de-identified data for genetic analyses by the other Core B, and this Core performs all phenotype analyses on humans and microarry analyses on rats.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG018397-10
Application #
7896478
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2009-08-01
Budget End
2010-07-31
Support Year
10
Fiscal Year
2009
Total Cost
$278,348
Indirect Cost
Name
Indiana University-Purdue University at Indianapolis
Department
Type
DUNS #
603007902
City
Indianapolis
State
IN
Country
United States
Zip Code
46202
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

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