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