File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A bootstrap-based regression method for comprehensive discovery of differential gene expressions: An application to the osteoporosis study

TitleA bootstrap-based regression method for comprehensive discovery of differential gene expressions: An application to the osteoporosis study
Authors
KeywordsBootstrap
Microarray
Osteoporosis
Regression
Issue Date2011
PublisherElsevier France, Editions Scientifiques et Medicales. The Journal's web site is located at http://www.elsevier.com/locate/ejmg
Citation
European Journal Of Medical Genetics, 2011, v. 54 n. 6, p. e560-e564 How to Cite?
AbstractA common purpose of microarray experiments is to study the variation in gene expression across the categories of an experimental factor such as tissue types and drug treatments. However, it is not uncommon that the studied experimental factor is a quantitative variable rather than categorical variable. Loss of information would occur by comparing gene-expression levels between groups that are factitiously defined according to the quantitative threshold values of an experimental factor. Additionally, lack of control for some sensitive clinical factors may bring serious false positive or negative findings.In the present study, we described a bootstrap-based regression method for analyzing gene-expression data from the non-categorical microarray experiments. To illustrate the utility of this method, we applied it to our recent gene-expression study of circulating monocytes in subjects with a wide range of variations in bone mineral density (BMD). This method allows a comprehensive discovery of gene expressions associated with osteoporosis-related traits while controlling other common confounding factors such as height, weight and age. Several genes identified in our study are involved in osteoblast and osteoclast functions and bone remodeling and/or menopause-associated estrogen-dependent pathways, which provide important clues to understand the etiology of osteoporosis. Availability: SAS code is available from the authors upon request. © 2011 Elsevier Masson SAS.
Persistent Identifierhttp://hdl.handle.net/10722/140927
ISSN
2015 Impact Factor: 1.81
2015 SCImago Journal Rankings: 0.934
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLu, Yen_HK
dc.contributor.authorLiu, YZen_HK
dc.contributor.authorLiu, PYen_HK
dc.contributor.authorDvornyk, Ven_HK
dc.contributor.authorDeng, HWen_HK
dc.date.accessioned2011-09-23T06:21:30Z-
dc.date.available2011-09-23T06:21:30Z-
dc.date.issued2011en_HK
dc.identifier.citationEuropean Journal Of Medical Genetics, 2011, v. 54 n. 6, p. e560-e564en_HK
dc.identifier.issn1769-7212en_HK
dc.identifier.urihttp://hdl.handle.net/10722/140927-
dc.description.abstractA common purpose of microarray experiments is to study the variation in gene expression across the categories of an experimental factor such as tissue types and drug treatments. However, it is not uncommon that the studied experimental factor is a quantitative variable rather than categorical variable. Loss of information would occur by comparing gene-expression levels between groups that are factitiously defined according to the quantitative threshold values of an experimental factor. Additionally, lack of control for some sensitive clinical factors may bring serious false positive or negative findings.In the present study, we described a bootstrap-based regression method for analyzing gene-expression data from the non-categorical microarray experiments. To illustrate the utility of this method, we applied it to our recent gene-expression study of circulating monocytes in subjects with a wide range of variations in bone mineral density (BMD). This method allows a comprehensive discovery of gene expressions associated with osteoporosis-related traits while controlling other common confounding factors such as height, weight and age. Several genes identified in our study are involved in osteoblast and osteoclast functions and bone remodeling and/or menopause-associated estrogen-dependent pathways, which provide important clues to understand the etiology of osteoporosis. Availability: SAS code is available from the authors upon request. © 2011 Elsevier Masson SAS.en_HK
dc.languageengen_US
dc.publisherElsevier France, Editions Scientifiques et Medicales. The Journal's web site is located at http://www.elsevier.com/locate/ejmgen_HK
dc.relation.ispartofEuropean Journal of Medical Geneticsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in European Journal of Medical Genetics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Medical Genetics, 2011, v. 54 n. 6, p. e560-e564. DOI: 10.1016/j.ejmg.2011.07.002-
dc.subjectBootstrapen_HK
dc.subjectMicroarrayen_HK
dc.subjectOsteoporosisen_HK
dc.subjectRegressionen_HK
dc.subject.meshBone Density - genetics-
dc.subject.meshBone Remodeling - genetics-
dc.subject.meshGene Expression Profiling - methods - statistics and numerical data-
dc.subject.meshMenopause - genetics - metabolism-
dc.subject.meshOsteoporosis - genetics - metabolism-
dc.titleA bootstrap-based regression method for comprehensive discovery of differential gene expressions: An application to the osteoporosis studyen_HK
dc.typeArticleen_HK
dc.identifier.emailDvornyk, V: dvornyk@hku.hken_HK
dc.identifier.authorityDvornyk, V=rp00693en_HK
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.ejmg.2011.07.002en_HK
dc.identifier.pmid21843665-
dc.identifier.scopuseid_2-s2.0-80052287771en_HK
dc.identifier.hkuros195105en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80052287771&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume54en_HK
dc.identifier.issue6en_HK
dc.identifier.spagee560en_HK
dc.identifier.epagee564en_HK
dc.identifier.isiWOS:000307537100006-
dc.publisher.placeFranceen_HK
dc.identifier.scopusauthoridLu, Y=36019236400en_HK
dc.identifier.scopusauthoridLiu, YZ=36007508500en_HK
dc.identifier.scopusauthoridLiu, PY=7404618030en_HK
dc.identifier.scopusauthoridDvornyk, V=6701789786en_HK
dc.identifier.scopusauthoridDeng, HW=7401775190en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats