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Article: Systemic approach to the study of complex bone disorders at the whole-genome level

TitleSystemic approach to the study of complex bone disorders at the whole-genome level
Authors
Issue Date2004
PublisherBentham Science Publishers Ltd. The Journal's web site is located at http://www.bentham.org/cg/index.htm
Citation
Current Genomics, 2004, v. 5 n. 2, p. 93-108 How to Cite?
AbstractThe complex nature and polygenic determination of most bone disorders require new approaches to search for genes and genetic mechanisms underlying these diseases. The present article overviews powerful and promising methodologies, which have been used to study these disorders. One of the most commonly used approaches is that of candidate gene association study, which seeks to test the association between a particular genetic variant (i.e. allele) and a specific phenotypes. These candidate genes are identified a priori based on known biologic function of gene product. As a complement of the candidate gene approach, the whole-genome scan studies employ polymorphic makers throughout the human genome to search genomic regions responsible for determining a trait of interest by linkage and/or linkage disequilibrium analyses. High-throughput methods for differential gene expression profiling are another powerful approach for searching genes underlying complex traits. Depending on their design, these methods allow researchers to get a "snapshot" of either the whole genome or any part. Importantly, in contrast to the various linkage or linkage disequilibrium tests, gene expression profiling provides information about how genes contribute to a trait. These methods of gene expression analysis are a rapidly developing field of functional genomics. It has a very high potential for applications in bone field, including diagnostics, prevention, and treatment of complex bone disorders. Genes usually function via the protein level. Based on the two-dimensional polyacrylamide gel electrophoresis, mass spectrometry and the yeast two-hybrid techniques, proteomics becomes a potentially useful tool for identifying genes and gene functions underlying complex traits. Focused on protein expression profiles and protein-protein interactions, proteomics turns out to be a complement to functional genomics and one of the best ways to clarify complicated biochemical mechanisms underlying complex bone disorders. Promisingly, proteomics may be eventually applied to seeking and screening genes and drug targets for complex bone disorders. © 2004 Bentham Science Publishers Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/178861
ISSN
2015 Impact Factor: 2.43
2015 SCImago Journal Rankings: 1.387
References

 

DC FieldValueLanguage
dc.contributor.authorDvornyk, Ven_US
dc.contributor.authorXiao, Pen_US
dc.contributor.authorLiu, YJen_US
dc.contributor.authorShen, Hen_US
dc.contributor.authorDeng, HWen_US
dc.date.accessioned2012-12-19T09:50:14Z-
dc.date.available2012-12-19T09:50:14Z-
dc.date.issued2004en_US
dc.identifier.citationCurrent Genomics, 2004, v. 5 n. 2, p. 93-108en_US
dc.identifier.issn1389-2029en_US
dc.identifier.urihttp://hdl.handle.net/10722/178861-
dc.description.abstractThe complex nature and polygenic determination of most bone disorders require new approaches to search for genes and genetic mechanisms underlying these diseases. The present article overviews powerful and promising methodologies, which have been used to study these disorders. One of the most commonly used approaches is that of candidate gene association study, which seeks to test the association between a particular genetic variant (i.e. allele) and a specific phenotypes. These candidate genes are identified a priori based on known biologic function of gene product. As a complement of the candidate gene approach, the whole-genome scan studies employ polymorphic makers throughout the human genome to search genomic regions responsible for determining a trait of interest by linkage and/or linkage disequilibrium analyses. High-throughput methods for differential gene expression profiling are another powerful approach for searching genes underlying complex traits. Depending on their design, these methods allow researchers to get a "snapshot" of either the whole genome or any part. Importantly, in contrast to the various linkage or linkage disequilibrium tests, gene expression profiling provides information about how genes contribute to a trait. These methods of gene expression analysis are a rapidly developing field of functional genomics. It has a very high potential for applications in bone field, including diagnostics, prevention, and treatment of complex bone disorders. Genes usually function via the protein level. Based on the two-dimensional polyacrylamide gel electrophoresis, mass spectrometry and the yeast two-hybrid techniques, proteomics becomes a potentially useful tool for identifying genes and gene functions underlying complex traits. Focused on protein expression profiles and protein-protein interactions, proteomics turns out to be a complement to functional genomics and one of the best ways to clarify complicated biochemical mechanisms underlying complex bone disorders. Promisingly, proteomics may be eventually applied to seeking and screening genes and drug targets for complex bone disorders. © 2004 Bentham Science Publishers Ltd.en_US
dc.languageengen_US
dc.publisherBentham Science Publishers Ltd. The Journal's web site is located at http://www.bentham.org/cg/index.htmen_US
dc.relation.ispartofCurrent Genomicsen_US
dc.titleSystemic approach to the study of complex bone disorders at the whole-genome levelen_US
dc.typeArticleen_US
dc.identifier.emailDvornyk, V: dvornyk@hku.hken_US
dc.identifier.authorityDvornyk, V=rp00693en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.2174/1389202043489926en_US
dc.identifier.scopuseid_2-s2.0-1442351165en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-1442351165&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume5en_US
dc.identifier.issue2en_US
dc.identifier.spage93en_US
dc.identifier.epage108en_US
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridDvornyk, V=6701789786en_US
dc.identifier.scopusauthoridXiao, P=34573749200en_US
dc.identifier.scopusauthoridLiu, YJ=36065513000en_US
dc.identifier.scopusauthoridShen, H=36126870600en_US
dc.identifier.scopusauthoridDeng, HW=34568563000en_US

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