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Bivariate Genome-Wide Association Analyses of Femoral Neck Bone Geometry and Appendicular Lean Mass

OBJECTIVE: Femoral neck geometric parameters (FNGPs), such as periosteal diameter (W), cross-sectional area (CSA), cortical thickness (CT), buckling ratio (BR), and section modulus (Z), are highly genetically correlated with body lean mass. However, the specific SNPs/genes shared by these phenotypes...

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Autores principales: Sun, Lu, Tan, Li-Jun, Lei, Shu-Feng, Chen, Xiang-Ding, Li, Xi, Pan, Rong, Yin, Fang, Liu, Quan-Wei, Yan, Xiao-Feng, Papasian, Christopher J., Deng, Hong-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3210160/
https://www.ncbi.nlm.nih.gov/pubmed/22087292
http://dx.doi.org/10.1371/journal.pone.0027325
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author Sun, Lu
Tan, Li-Jun
Lei, Shu-Feng
Chen, Xiang-Ding
Li, Xi
Pan, Rong
Yin, Fang
Liu, Quan-Wei
Yan, Xiao-Feng
Papasian, Christopher J.
Deng, Hong-Wen
author_facet Sun, Lu
Tan, Li-Jun
Lei, Shu-Feng
Chen, Xiang-Ding
Li, Xi
Pan, Rong
Yin, Fang
Liu, Quan-Wei
Yan, Xiao-Feng
Papasian, Christopher J.
Deng, Hong-Wen
author_sort Sun, Lu
collection PubMed
description OBJECTIVE: Femoral neck geometric parameters (FNGPs), such as periosteal diameter (W), cross-sectional area (CSA), cortical thickness (CT), buckling ratio (BR), and section modulus (Z), are highly genetically correlated with body lean mass. However, the specific SNPs/genes shared by these phenotypes are largely unknown. METHODS: To identify the specific SNPs/genes shared between FNGPs and appendicular lean mass (ALM), we performed an initial bivariate genome-wide association study (GWAS) by scanning ∼690,000 SNPs in 1,627 unrelated Han Chinese adults (802 males and 825 females) and a follow-up replicate study in 2,286 unrelated US Caucasians. RESULTS: We identified 13 interesting SNPs that may be important for both FNGPs and ALM. Two SNPs, rs681900 located in the HK2 (hexokinase 2) gene and rs11859916 in the UMOD (uromodulin) gene, were bivariately associated with FNGPs and ALM (p = 7.58×10(−6) for ALM-BR and p = 2.93×10(−6) for ALM-W, respectively). The associations were then replicated in Caucasians, with corresponding p values of 0.024 for rs681900 and 0.047 for rs11859916. Meta-analyses yielded combined p values of 3.05×10(−6) and 2.31×10(−6) for rs681900 and rs11859916, respectively. Our findings are consistent with previous biological studies that implicated HK2 and UMOD in both FNGPs and ALM. Our study also identified a group of 11 contiguous SNPs, which spanned a region of ∼130 kb, were bivariately associated with FNGPs and ALM, with p values ranging from 3.06×10(−7) to 4.60×10(−6) for ALM-BR. The region contained two neighboring miRNA coding genes, MIR873 (MicroRNA873) and MIR876 (MicroRNA876). CONCLUSION: Our study implicated HK2, UMOD, MIR873 and MIR876, as pleiotropic genes underlying variation of both FNGPs and ALM, thus suggesting their important functional roles in co-regulating both FNGPs and ALM.
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spelling pubmed-32101602011-11-15 Bivariate Genome-Wide Association Analyses of Femoral Neck Bone Geometry and Appendicular Lean Mass Sun, Lu Tan, Li-Jun Lei, Shu-Feng Chen, Xiang-Ding Li, Xi Pan, Rong Yin, Fang Liu, Quan-Wei Yan, Xiao-Feng Papasian, Christopher J. Deng, Hong-Wen PLoS One Research Article OBJECTIVE: Femoral neck geometric parameters (FNGPs), such as periosteal diameter (W), cross-sectional area (CSA), cortical thickness (CT), buckling ratio (BR), and section modulus (Z), are highly genetically correlated with body lean mass. However, the specific SNPs/genes shared by these phenotypes are largely unknown. METHODS: To identify the specific SNPs/genes shared between FNGPs and appendicular lean mass (ALM), we performed an initial bivariate genome-wide association study (GWAS) by scanning ∼690,000 SNPs in 1,627 unrelated Han Chinese adults (802 males and 825 females) and a follow-up replicate study in 2,286 unrelated US Caucasians. RESULTS: We identified 13 interesting SNPs that may be important for both FNGPs and ALM. Two SNPs, rs681900 located in the HK2 (hexokinase 2) gene and rs11859916 in the UMOD (uromodulin) gene, were bivariately associated with FNGPs and ALM (p = 7.58×10(−6) for ALM-BR and p = 2.93×10(−6) for ALM-W, respectively). The associations were then replicated in Caucasians, with corresponding p values of 0.024 for rs681900 and 0.047 for rs11859916. Meta-analyses yielded combined p values of 3.05×10(−6) and 2.31×10(−6) for rs681900 and rs11859916, respectively. Our findings are consistent with previous biological studies that implicated HK2 and UMOD in both FNGPs and ALM. Our study also identified a group of 11 contiguous SNPs, which spanned a region of ∼130 kb, were bivariately associated with FNGPs and ALM, with p values ranging from 3.06×10(−7) to 4.60×10(−6) for ALM-BR. The region contained two neighboring miRNA coding genes, MIR873 (MicroRNA873) and MIR876 (MicroRNA876). CONCLUSION: Our study implicated HK2, UMOD, MIR873 and MIR876, as pleiotropic genes underlying variation of both FNGPs and ALM, thus suggesting their important functional roles in co-regulating both FNGPs and ALM. Public Library of Science 2011-11-07 /pmc/articles/PMC3210160/ /pubmed/22087292 http://dx.doi.org/10.1371/journal.pone.0027325 Text en Sun et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Sun, Lu
Tan, Li-Jun
Lei, Shu-Feng
Chen, Xiang-Ding
Li, Xi
Pan, Rong
Yin, Fang
Liu, Quan-Wei
Yan, Xiao-Feng
Papasian, Christopher J.
Deng, Hong-Wen
Bivariate Genome-Wide Association Analyses of Femoral Neck Bone Geometry and Appendicular Lean Mass
title Bivariate Genome-Wide Association Analyses of Femoral Neck Bone Geometry and Appendicular Lean Mass
title_full Bivariate Genome-Wide Association Analyses of Femoral Neck Bone Geometry and Appendicular Lean Mass
title_fullStr Bivariate Genome-Wide Association Analyses of Femoral Neck Bone Geometry and Appendicular Lean Mass
title_full_unstemmed Bivariate Genome-Wide Association Analyses of Femoral Neck Bone Geometry and Appendicular Lean Mass
title_short Bivariate Genome-Wide Association Analyses of Femoral Neck Bone Geometry and Appendicular Lean Mass
title_sort bivariate genome-wide association analyses of femoral neck bone geometry and appendicular lean mass
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3210160/
https://www.ncbi.nlm.nih.gov/pubmed/22087292
http://dx.doi.org/10.1371/journal.pone.0027325
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