Age-related osteoporotic fractures result from an increase in bone fragility due to a reduction in bone strength with aging in combination with increased propensity to fall.. Several highly heritable phenotypes contribute to bone strength, including bone mineral density (BMD), bone structure, and bone quality. Successful localization and identification of genes underlying the components of bone strength, and in turn osteoporosis, depend upon accurate phenotypic measurement and optimal genetic analyses. During the tenure of the current award, members of this Core have worked with the Program Project Grant investigators to successfully identify several chromosomal regions that contain genes influencing peak bone strength in white and black men and women, as well as in rats. The goal of this renewal application is to further define QTLs linked to phenotypes of peak bone strength, identify sex-specific QTLs , and identify the genes that underlie bone fragility. To accomplish these goals, this Core will: 1) modify and adapt the study designs of the three projects, as necessary, to exploit novel methodological advances in genetic analyses; 2) perform linkage and association analyses to identify genes contributing to bone strength; and 3) develop bioinformatics resources to assist in the identification of the genes contributing to bone strength.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG018397-08
Application #
7463830
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2007-08-01
Budget End
2008-07-31
Support Year
8
Fiscal Year
2007
Total Cost
$314,864
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
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