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연관분석을 위한 베이지안 모형 선택:상호상관성 변수를 중심으로Bayesian Model Selection for Linkage Analyses: Considering Collinear Predictors

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Bayesian Model Selection for Linkage Analyses: Considering Collinear Predictors
Authors
서영주
Issue Date
Nov-2005
Publisher
한국통계학회
Keywords
QTL; Linkage analysis; SSVS.
Citation
응용통계연구, v.18, no.3, pp 533 - 541
Pages
9
Journal Title
응용통계연구
Volume
18
Number
3
Start Page
533
End Page
541
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/62060
DOI
10.5351/KJAS.2005.18.3.533
ISSN
1225-066X
Abstract
We identify the correct chromosome and locate the corresponding markers close tothe QTL in the linkage analysis of a quantitative trait by using the SSVS method.We consider several markers linked to the QTL, as well as to each other and thus thei.b.d. values at these loci generate collinear predictors to be evaluated when using the SSVS approach. The results on considering only closely linked markers to two QTL simultaneously showed clear evidence in favor of the closest marker to the QTL considered over other markers. The results of the analysis of collinear markers with SSVS showed high concordance to those obtained using traditional multiple regression. We conclude based on this simulation study that the SSVS is quite useful to identify linkage with multiple linked markers simultaneously for a complex quantitative trait.
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