Cited 0 times in
이환 형제 자료에 대한 유전적 연관성 분석 방법의 비교
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 고민진 | - |
dc.contributor.author | 송기준 | - |
dc.date.accessioned | 2015-04-24T17:02:10Z | - |
dc.date.available | 2015-04-24T17:02:10Z | - |
dc.date.issued | 2009 | - |
dc.identifier.issn | 1225-066X | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/104637 | - |
dc.description.abstract | For complex diseases such as diabetes, hypertension, it is believed that model-free methods might work better because they do not require a precise knowledge of the mode of inheritance controlling the disease trait. This is done by estimating the sharing probabilities that a pair shares zero, one, or two alleles identical by descent(IBD) and has some specific branches of test procedure, i.e., the mean test, the proportion test, and the minmax test. Among them, the minmax test is known to be more robust than others regardless of genetic mode of inheritance in current use. In this study, we compared the power of the methods which are based on minmax test and considering weighting schemes for sib-pairs to analyze sibship data. In simulation result, we found that the method based on Suarez' was more powerful than any others without respect to marker allele frequency, genetic mode of inheritance, sibship size. Also, The power of both Suarez- and Hodge-based methods was higher when marker allele frequency and sibship size were higher, and this result was remarkable in dominant mode of inheritance especially | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 329~340 | - |
dc.relation.isPartOf | Korean Journal of Applied Statistics (응용통계연구) | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.title | 이환 형제 자료에 대한 유전적 연관성 분석 방법의 비교 | - |
dc.title.alternative | Comparison of Methods for Linkage Analysis of Affected Sibship Data | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Biostatistics (의학통계학) | - |
dc.contributor.googleauthor | 고민진 | - |
dc.contributor.googleauthor | 임길섭 | - |
dc.contributor.googleauthor | 이학배 | - |
dc.contributor.googleauthor | 송기준 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A00118 | - |
dc.contributor.localId | A02016 | - |
dc.relation.journalcode | J01964 | - |
dc.subject.keyword | Linkage analysis | - |
dc.subject.keyword | affected sibship data | - |
dc.subject.keyword | weighted method | - |
dc.subject.keyword | power | - |
dc.contributor.alternativeName | Go, Min Jin | - |
dc.contributor.alternativeName | Song, Ki Jun | - |
dc.contributor.affiliatedAuthor | Go, Min Jin | - |
dc.contributor.affiliatedAuthor | Song, Ki Jun | - |
dc.citation.volume | 22 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 329 | - |
dc.citation.endPage | 340 | - |
dc.identifier.bibliographicCitation | Korean Journal of Applied Statistics (응용통계연구), Vol.22(2) : 329-340, 2009 | - |
dc.identifier.rimsid | 52829 | - |
dc.type.rims | ART | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.