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- PMID: 10762550
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Article: Power comparison of parametric and nonparametric linkage tests in small pedigrees
Title | Power comparison of parametric and nonparametric linkage tests in small pedigrees |
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Authors | |
Issue Date | 2000 |
Publisher | Cell Press. The Journal's web site is located at http://www.cell.com/AJHG/ |
Citation | American Journal Of Human Genetics, 2000, v. 66 n. 5, p. 1661-1668 How to Cite? |
Abstract | When the mode of inheritance of a disease is unknown, the LOD-score method of linkage analysis must take into account uncertainties in model parameters. We have previously proposed a parametric linkage test called 'MFLOD,' which does not require specification of disease model parameters. In the present study, we introduce two new model-free parametric linkage tests, known as 'MLOD' and 'MALOD.' These tests are defined, respectively, as the LOD score and the admixture LOD score, maximized (subject to the same constraints as MFLOD) over disease-model parameters. We compared the power of these three parametric linkage tests and that of two nonparametric linkage tests, NP(all) and NPL(pairs), which are implemented in GENEHUNTER. With the use of small pedigrees and a fully informative marker, we found the powers of MLOD, NPL(all), and NPL(pairs) to be almost equivalent to each other and not far below that of a LOD-score analysis performed under the assumption the correct genetic parameters. Thus, linkage analysis is not much hindered by uncertain mode of inheritance. The results also suggest that both parametric and nonparametric methods are suitable for linkage analysis of complex disorders in small pedigrees. However, whether these results apply to large pedigrees remains to be answered. |
Persistent Identifier | http://hdl.handle.net/10722/175814 |
ISSN | 2023 Impact Factor: 8.1 2023 SCImago Journal Rankings: 4.516 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sham, PC | en_US |
dc.contributor.author | Lin, MW | en_US |
dc.contributor.author | Zhao, JH | en_US |
dc.contributor.author | Curtis, D | en_US |
dc.date.accessioned | 2012-11-26T09:01:31Z | - |
dc.date.available | 2012-11-26T09:01:31Z | - |
dc.date.issued | 2000 | en_US |
dc.identifier.citation | American Journal Of Human Genetics, 2000, v. 66 n. 5, p. 1661-1668 | en_US |
dc.identifier.issn | 0002-9297 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/175814 | - |
dc.description.abstract | When the mode of inheritance of a disease is unknown, the LOD-score method of linkage analysis must take into account uncertainties in model parameters. We have previously proposed a parametric linkage test called 'MFLOD,' which does not require specification of disease model parameters. In the present study, we introduce two new model-free parametric linkage tests, known as 'MLOD' and 'MALOD.' These tests are defined, respectively, as the LOD score and the admixture LOD score, maximized (subject to the same constraints as MFLOD) over disease-model parameters. We compared the power of these three parametric linkage tests and that of two nonparametric linkage tests, NP(all) and NPL(pairs), which are implemented in GENEHUNTER. With the use of small pedigrees and a fully informative marker, we found the powers of MLOD, NPL(all), and NPL(pairs) to be almost equivalent to each other and not far below that of a LOD-score analysis performed under the assumption the correct genetic parameters. Thus, linkage analysis is not much hindered by uncertain mode of inheritance. The results also suggest that both parametric and nonparametric methods are suitable for linkage analysis of complex disorders in small pedigrees. However, whether these results apply to large pedigrees remains to be answered. | en_US |
dc.language | eng | en_US |
dc.publisher | Cell Press. The Journal's web site is located at http://www.cell.com/AJHG/ | en_US |
dc.relation.ispartof | American Journal of Human Genetics | en_US |
dc.subject.mesh | Chromosome Mapping - Methods - Statistics & Numerical Data | en_US |
dc.subject.mesh | Computer Simulation | en_US |
dc.subject.mesh | Female | en_US |
dc.subject.mesh | Genetic Diseases, Inborn - Genetics | en_US |
dc.subject.mesh | Genetic Markers - Genetics | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Lod Score | en_US |
dc.subject.mesh | Male | en_US |
dc.subject.mesh | Models, Genetic | en_US |
dc.subject.mesh | Pedigree | en_US |
dc.subject.mesh | Reproducibility Of Results | en_US |
dc.subject.mesh | Sample Size | en_US |
dc.subject.mesh | Software | en_US |
dc.subject.mesh | Statistics, Nonparametric | en_US |
dc.title | Power comparison of parametric and nonparametric linkage tests in small pedigrees | en_US |
dc.type | Article | en_US |
dc.identifier.email | Sham, PC: pcsham@hku.hk | en_US |
dc.identifier.authority | Sham, PC=rp00459 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1086/302888 | en_US |
dc.identifier.pmid | 10762550 | - |
dc.identifier.scopus | eid_2-s2.0-0033911219 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0033911219&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 66 | en_US |
dc.identifier.issue | 5 | en_US |
dc.identifier.spage | 1661 | en_US |
dc.identifier.epage | 1668 | en_US |
dc.identifier.isi | WOS:000088373700019 | - |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Sham, PC=34573429300 | en_US |
dc.identifier.scopusauthorid | Lin, MW=35277520300 | en_US |
dc.identifier.scopusauthorid | Zhao, JH=7410311266 | en_US |
dc.identifier.scopusauthorid | Curtis, D=14633020700 | en_US |
dc.identifier.issnl | 0002-9297 | - |