Robust and comprehensive analysis of 20 osteoporosis candidate genes by very high-density single-nucleotide polymorphism screen among 405 white nuclear families identified significant association and gene-gene interaction

Dong Hai Xiong, Hui Shen, Lan Juan Zhao, Peng Xiao, Tie Lin Yang, Yan Guo, Wei Wang, Yan Fang Guo, Yong Jun Liu, Robert R. Recker, Hong Wen Deng

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Abstract

Many "novel" osteoporosis candidate genes have been proposed in recent years. To advance our knowledge of their roles in osteoporosis, we screened 20 such genes using a set of high-density SNPs in a large family-based study. Our efforts led to the prioritization of those osteoporosis genes and the detection of gene-gene interactions. Introduction: We performed large-scale family-based association analyses of 20 novel osteoporosis candidate genes using 277 single nucleotide polymorphisms (SNPs) for the quantitative trait BMD variation and the qualitative trait osteoporosis (OP) at three clinically important skeletal sites: spine, hip, and ultradistal radius (UD). Materials and Methods: One thousand eight hundred seventy-three subjects from 405 white nuclear families were genotyped and analyzed with an average density of one SNP per 4 kb across the 20 genes. We conducted association analyses by SNP- and haplotype-based family-based association test (FBAT) and performed gene-gene interaction analyses using multianalytic approaches such as multifactor- dimensionality reduction (MDR) and conditional logistic regression. Results and Conclusions: We detected four genes (DBP, LRP5, CYP17, and RANK) that showed highly suggestive associations (10,000-permutation derived empirical global p ≤ 0.01) with spine BMD/OP; four genes (CYP19, RANK, RANKL, and CYP17) highly suggestive for hip BMD/OP; and four genes (CYP19, BMP2, RANK, and TNFR2) highly suggestive for UD BMD/OP. The associations between BMP2 with UD BMD and those between RANK with OP at the spine, hip, and UD also met the experiment-wide stringent criterion (empirical global p ≤ 0.0007). Sex-stratified analyses further showed that some of the significant associations in the total sample were driven by either male or female subjects. In addition, we identified and validated a two-locus gene-gene interaction model involving GCR and ESR2, for which prior biological evidence exists. Our results suggested the prioritization of osteoporosis candidate genes from among the many proposed in recent years and revealed the significant gene-gene interaction effects influencing osteoporosis risk.

Original languageEnglish
Pages (from-to)1678-1695
Number of pages18
JournalJournal of Bone and Mineral Research
Volume21
Issue number11
DOIs
StatePublished - Nov 2006

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Nuclear Family
Osteoporosis
Single Nucleotide Polymorphism
Genes
Steroid 17-alpha-Hydroxylase
Hip
Spine
Aromatase
Multifactor Dimensionality Reduction
Receptors, Tumor Necrosis Factor, Type II
Haplotypes

All Science Journal Classification (ASJC) codes

  • Surgery

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Robust and comprehensive analysis of 20 osteoporosis candidate genes by very high-density single-nucleotide polymorphism screen among 405 white nuclear families identified significant association and gene-gene interaction. / Xiong, Dong Hai; Shen, Hui; Zhao, Lan Juan; Xiao, Peng; Yang, Tie Lin; Guo, Yan; Wang, Wei; Guo, Yan Fang; Liu, Yong Jun; Recker, Robert R.; Deng, Hong Wen.

In: Journal of Bone and Mineral Research, Vol. 21, No. 11, 11.2006, p. 1678-1695.

Research output: Contribution to journalArticle

Xiong, Dong Hai ; Shen, Hui ; Zhao, Lan Juan ; Xiao, Peng ; Yang, Tie Lin ; Guo, Yan ; Wang, Wei ; Guo, Yan Fang ; Liu, Yong Jun ; Recker, Robert R. ; Deng, Hong Wen. / Robust and comprehensive analysis of 20 osteoporosis candidate genes by very high-density single-nucleotide polymorphism screen among 405 white nuclear families identified significant association and gene-gene interaction. In: Journal of Bone and Mineral Research. 2006 ; Vol. 21, No. 11. pp. 1678-1695.
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AU - Xiong, Dong Hai

AU - Shen, Hui

AU - Zhao, Lan Juan

AU - Xiao, Peng

AU - Yang, Tie Lin

AU - Guo, Yan

AU - Wang, Wei

AU - Guo, Yan Fang

AU - Liu, Yong Jun

AU - Recker, Robert R.

AU - Deng, Hong Wen

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