Journal of genetics | |
Dissecting the correlation structure of a bivariate phenotype: common genes or shared environment? | |
Saurabh Ghosh11  | |
[1] Human Genetics Unit, Indian Statistical Institute, 203 BT Road, Kolkata 700 108, India$$ | |
关键词: Bombyx mori; Bombyx mandarina; mitochondrial DNA; cytochrome b gene; phylogenetic tree.; | |
DOI : | |
学科分类:生物科学(综合) | |
来源: Indian Academy of Sciences | |
【 摘 要 】
High correlations between two quantitative traits may be either due to common genetic factors or common environmental factors or a combination of both. In this study, we develop statistical methods to extract the genetic contribution to the total correlation between the components of a bivariate phenotype. Using data on bivariate phenotypes and marker genotypes for sib-pairs, we propose a test for linkage between a common QTL and a marker locus based on the conditional cross-sib trait correlations (trait 1 of sib 1 – trait 2 of sib 2 and conversely) given the identity-by-descent (i.b.d.) sharing at the marker locus. We use Monte-Carlo simulations to evaluate the performance of the proposed test under different trait parameters and quantitative trait distributions. An application of the method is illustrated using data on two alcohol-related phenotypes from a project on the collaborative study on the genetics of alcoholism.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201912040490602ZK.pdf | 47KB | download |