Osteoporotic fracture is a complex trait due in large part to an age-related reduction in bone strength. Bone mineral density, bone structure, bone quality and bone structure are the main components of bone strength. All four components have phenotypes that are highly heritable. Successful localization and identification of genes underlying the components of bone strength, and in turn osteoporosis, depends on accurate phenotypic measurement and optimum genetic analyses. Our group at Indiana University has extensive experience in the management and analysis of large data sets for the detections of susceptibility genes for complex disease. During the last five years, we have successfully identified several chromosomal regions that contribute to the phenotypic variability observed in peak bone mineral density among women. During the next five years, the specific aims of Core C: Genetic Analysis and Bioinformatics Core will be: 1) to modify and adapt the study designs of the three projects so as to exploit novel methodological advances in genetic advances; 2) to perform linkage analyses in the three projects to identify genes contributing to bone mass; and 3) to develop a bioinformatics resource to assist in the identification of the genes contributing to bone mass.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG018397-03
Application #
6615169
Study Section
Special Emphasis Panel (ZAG1)
Project Start
2002-08-01
Project End
2003-06-30
Budget Start
Budget End
Support Year
3
Fiscal Year
2002
Total Cost
Indirect Cost
Name
Indiana University-Purdue University at Indianapolis
Department
Type
DUNS #
005436803
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
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
Zhang, Lei; Choi, Hyung Jin; Estrada, Karol et al. (2014) Multistage genome-wide association meta-analyses identified two new loci for bone mineral density. Hum Mol Genet 23:1923-33
Alam, Imranul; Padgett, Leah R; Ichikawa, Shoji et al. (2014) SIBLING family genes and bone mineral density: association and allele-specific expression in humans. Bone 64:166-72

Showing the most recent 10 out of 86 publications