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Article: Meta-analysis of gene-based genome-wide association studies of bone mineral density in Chinese and European subjects
Title | Meta-analysis of gene-based genome-wide association studies of bone mineral density in Chinese and European subjects | ||||||||
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Authors | |||||||||
Keywords | Association study Bone mineral density Genetic epidemiology Meta-analysis Osteoporosis | ||||||||
Issue Date | 2012 | ||||||||
Publisher | Springer U K. The Journal's web site is located at http://www.springer.com/medicine/orthopedics/journal/198 | ||||||||
Citation | Osteoporosis International, 2012, v. 23 n. 1, p. 131-142 How to Cite? | ||||||||
Abstract | Summary Gene-based association approach could be regarded as a complementary analysis to the single SNP association analysis. We meta-analyzed the findings from the gene-based association approach using the genome-wide association studies (GWAS) data from Chinese and European subjects, confirmed several well established bone mineral density (BMD) genes, and suggested several novel BMD genes. Introduction The introduction of GWAS has greatly increased the number of genes that are known to be associated with common diseases. Nonetheless, such a single SNP GWAS has a lower power to detect genes with multiple causal variants. We aimed to assess the association of each gene with BMD variation at the spine and hip using gene-based GWAS approach. Methods We studied 778 Hong Kong Southern Chinese (HKSC) women and 5,858 Northern Europeans (dCG); age, sex, and weight were adjusted in the model. The main outcome measure was BMD at the spine and hip. Results Nine genes showed suggestive p value in HKSC, while 4 and 17 genes showed significant and suggestive p values respectively in dCG. Meta-analysis using weighted Z-transformed test confirmed several known BMD genes and suggested some novel ones at 1q21.3, 9q22, 9q33.2, 20p13, and 20q12. Top BMD genes were significantly associated with connective tissue, skeletal, and muscular system development and function (p<0.05). Gene network inference revealed that a large number of these genes were significantly connected with each other to form a functional gene network, and several signaling pathways were strongly connected with these gene networks. Conclusion Our gene-based GWAS confirmed several BMD genes and suggested several novel BMD genes. Genetic contribution to BMD variation may operate through multiple genes identified in this study in functional gene networks. This finding may be useful in identifying and prioritizing candidate genes/loci for further study. © International Osteoporosis Foundation and National Osteoporosis Foundation 2011. | ||||||||
Persistent Identifier | http://hdl.handle.net/10722/144935 | ||||||||
ISSN | 2023 Impact Factor: 4.2 2023 SCImago Journal Rankings: 1.111 | ||||||||
PubMed Central ID | |||||||||
ISI Accession Number ID |
Funding Information: This work was supported by the Research Grant Council of the Hong Kong Government, The Osteoporosis Research Fund, and Matching Grant of the University of Hong Kong | ||||||||
References |
DC Field | Value | Language |
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dc.contributor.author | Cheung, CL | en_HK |
dc.contributor.author | Sham, PC | en_HK |
dc.contributor.author | Xiao, SM | en_HK |
dc.contributor.author | Bow, CH | en_HK |
dc.contributor.author | Kung, AWC | en_HK |
dc.date.accessioned | 2012-02-21T05:43:21Z | - |
dc.date.available | 2012-02-21T05:43:21Z | - |
dc.date.issued | 2012 | en_HK |
dc.identifier.citation | Osteoporosis International, 2012, v. 23 n. 1, p. 131-142 | en_HK |
dc.identifier.issn | 0937-941X | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/144935 | - |
dc.description.abstract | Summary Gene-based association approach could be regarded as a complementary analysis to the single SNP association analysis. We meta-analyzed the findings from the gene-based association approach using the genome-wide association studies (GWAS) data from Chinese and European subjects, confirmed several well established bone mineral density (BMD) genes, and suggested several novel BMD genes. Introduction The introduction of GWAS has greatly increased the number of genes that are known to be associated with common diseases. Nonetheless, such a single SNP GWAS has a lower power to detect genes with multiple causal variants. We aimed to assess the association of each gene with BMD variation at the spine and hip using gene-based GWAS approach. Methods We studied 778 Hong Kong Southern Chinese (HKSC) women and 5,858 Northern Europeans (dCG); age, sex, and weight were adjusted in the model. The main outcome measure was BMD at the spine and hip. Results Nine genes showed suggestive p value in HKSC, while 4 and 17 genes showed significant and suggestive p values respectively in dCG. Meta-analysis using weighted Z-transformed test confirmed several known BMD genes and suggested some novel ones at 1q21.3, 9q22, 9q33.2, 20p13, and 20q12. Top BMD genes were significantly associated with connective tissue, skeletal, and muscular system development and function (p<0.05). Gene network inference revealed that a large number of these genes were significantly connected with each other to form a functional gene network, and several signaling pathways were strongly connected with these gene networks. Conclusion Our gene-based GWAS confirmed several BMD genes and suggested several novel BMD genes. Genetic contribution to BMD variation may operate through multiple genes identified in this study in functional gene networks. This finding may be useful in identifying and prioritizing candidate genes/loci for further study. © International Osteoporosis Foundation and National Osteoporosis Foundation 2011. | en_HK |
dc.language | eng | en_US |
dc.publisher | Springer U K. The Journal's web site is located at http://www.springer.com/medicine/orthopedics/journal/198 | en_HK |
dc.relation.ispartof | Osteoporosis International | en_HK |
dc.rights | The Author(s) | en_US |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | en_US |
dc.subject | Association study | en_HK |
dc.subject | Bone mineral density | en_HK |
dc.subject | Genetic epidemiology | en_HK |
dc.subject | Meta-analysis | en_HK |
dc.subject | Osteoporosis | en_HK |
dc.title | Meta-analysis of gene-based genome-wide association studies of bone mineral density in Chinese and European subjects | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4551/resserv?sid=springerlink&genre=article&atitle=Meta-analysis of gene-based genome-wide association studies of bone mineral density in Chinese and European subjects&title=Osteoporosis International&issn=0937941X&date=2012-01-01&volume=23&issue=1& spage=131&authors=C.-L. Cheung, P.-C. Sham, S.-M. Xiao, <i>et al.</i> | en_US |
dc.identifier.email | Cheung, CL: lung1212@hku.hk | en_HK |
dc.identifier.email | Sham, PC: pcsham@hku.hk | en_HK |
dc.identifier.email | Kung, AWC: awckung@hku.hk | en_HK |
dc.identifier.authority | Cheung, CL=rp01749 | en_HK |
dc.identifier.authority | Sham, PC=rp00459 | en_HK |
dc.identifier.authority | Kung, AWC=rp00368 | en_HK |
dc.description.nature | published_or_final_version | en_US |
dc.identifier.doi | 10.1007/s00198-011-1779-7 | en_HK |
dc.identifier.pmid | 21927923 | - |
dc.identifier.pmcid | PMC3249198 | - |
dc.identifier.scopus | eid_2-s2.0-84857371203 | en_HK |
dc.identifier.hkuros | 192169 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-84857371203&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 23 | en_HK |
dc.identifier.issue | 1 | en_HK |
dc.identifier.spage | 131 | en_HK |
dc.identifier.epage | 142 | en_HK |
dc.identifier.eissn | 1433-2965 | en_US |
dc.identifier.isi | WOS:000298645700012 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.description.other | Springer Open Choice, 21 Feb 2012 | en_US |
dc.identifier.scopusauthorid | Cheung, CL=14520953400 | en_HK |
dc.identifier.scopusauthorid | Sham, PC=34573429300 | en_HK |
dc.identifier.scopusauthorid | Xiao, SM=7402022586 | en_HK |
dc.identifier.scopusauthorid | Bow, CH=36055977600 | en_HK |
dc.identifier.scopusauthorid | Kung, AWC=7102322339 | en_HK |
dc.identifier.citeulike | 9829113 | - |
dc.identifier.issnl | 0937-941X | - |