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- Publisher Website: 10.1038/nrrheum.2010.106
- Scopus: eid_2-s2.0-77956286229
- PMID: 20683440
- WOS: WOS:000281572800006
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Article: Genetic epidemiology of age-related osteoporosis and its clinical applications
Title | Genetic epidemiology of age-related osteoporosis and its clinical applications | ||||||||
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Authors | |||||||||
Issue Date | 2010 | ||||||||
Publisher | Nature Publishing Group. The Journal's web site is located at http://www.nature.com/nrrheum/index.html | ||||||||
Citation | Nature Reviews Rheumatology, 2010, v. 6 n. 9, p. 507-517 How to Cite? | ||||||||
Abstract | Osteoporosis is an important and complex disorder that is highly prevalent worldwide. This disease poses a major challenge to modern medicine and its treatment is associated with high costs. Numerous studies have endeavored to decipher the pathogenesis of this disease. The clinical assessment of patients often incorporates information about a family history of osteoporotic fractures. Indeed, the observation of an increased risk of fracture in an individual with a positive parental history of hip fracture provides strong evidence for the heritability of osteoporosis. The onset and progression of osteoporosis are generally controlled by multiple genetic and environmental factors, as well as interactions between them, with rare cases determined by a single gene. In an attempt to identify the genetic markers of complex diseases such as osteoporosis, there has been a move away from traditional linkage mapping studies and candidate gene association studies to higher-density genome-wide association studies. The advent of high-throughput technology enables genotyping of millions of DNA markers in the human genome, and consequently the identification and characterization of causal variants and loci that underlie osteoporosis. This Review presents an overview of the major findings since 2007 and clinical applications of these genome-wide linkage and association studies. © 2010 Macmillan Publishers Limited. All rights reserved. | ||||||||
Persistent Identifier | http://hdl.handle.net/10722/135218 | ||||||||
ISSN | 2023 Impact Factor: 29.4 2023 SCImago Journal Rankings: 4.818 | ||||||||
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 | Xiao, SM | en_HK |
dc.contributor.author | Kung, AWC | en_HK |
dc.date.accessioned | 2011-07-27T01:30:08Z | - |
dc.date.available | 2011-07-27T01:30:08Z | - |
dc.date.issued | 2010 | en_HK |
dc.identifier.citation | Nature Reviews Rheumatology, 2010, v. 6 n. 9, p. 507-517 | en_HK |
dc.identifier.issn | 1759-4790 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/135218 | - |
dc.description.abstract | Osteoporosis is an important and complex disorder that is highly prevalent worldwide. This disease poses a major challenge to modern medicine and its treatment is associated with high costs. Numerous studies have endeavored to decipher the pathogenesis of this disease. The clinical assessment of patients often incorporates information about a family history of osteoporotic fractures. Indeed, the observation of an increased risk of fracture in an individual with a positive parental history of hip fracture provides strong evidence for the heritability of osteoporosis. The onset and progression of osteoporosis are generally controlled by multiple genetic and environmental factors, as well as interactions between them, with rare cases determined by a single gene. In an attempt to identify the genetic markers of complex diseases such as osteoporosis, there has been a move away from traditional linkage mapping studies and candidate gene association studies to higher-density genome-wide association studies. The advent of high-throughput technology enables genotyping of millions of DNA markers in the human genome, and consequently the identification and characterization of causal variants and loci that underlie osteoporosis. This Review presents an overview of the major findings since 2007 and clinical applications of these genome-wide linkage and association studies. © 2010 Macmillan Publishers Limited. All rights reserved. | en_HK |
dc.language | eng | en_US |
dc.publisher | Nature Publishing Group. The Journal's web site is located at http://www.nature.com/nrrheum/index.html | en_HK |
dc.relation.ispartof | Nature Reviews Rheumatology | en_HK |
dc.subject.mesh | Genetic Linkage | - |
dc.subject.mesh | Genetic Predisposition to Disease | - |
dc.subject.mesh | Genomics | - |
dc.subject.mesh | High-Throughput Nucleotide Sequencing | - |
dc.subject.mesh | Osteoporosis - epidemiology - genetics - therapy | - |
dc.title | Genetic epidemiology of age-related osteoporosis and its clinical applications | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1759-4790&volume=6&issue=9&spage=507&epage=517&date=2010&atitle=Genetic+epidemiology+of+age-related+osteoporosis+and+its+clinical+applications | - |
dc.identifier.email | Cheung, CL: lung1212@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 | Kung, AWC=rp00368 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1038/nrrheum.2010.106 | en_HK |
dc.identifier.pmid | 20683440 | - |
dc.identifier.scopus | eid_2-s2.0-77956286229 | en_HK |
dc.identifier.hkuros | 187293 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-77956286229&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 6 | en_HK |
dc.identifier.issue | 9 | en_HK |
dc.identifier.spage | 507 | en_HK |
dc.identifier.epage | 517 | en_HK |
dc.identifier.isi | WOS:000281572800006 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Cheung, CL=14520953400 | en_HK |
dc.identifier.scopusauthorid | Xiao, SM=7402022586 | en_HK |
dc.identifier.scopusauthorid | Kung, AWC=7102322339 | en_HK |
dc.identifier.issnl | 1759-4790 | - |