Integrating sibship data for mapping quantitative trait loci.
- Authors
- Ghosh, S; Reich, T
- Year
- 2002
- Journal
- Annals of human genetics
- PMID
- 12174220
- DOI
- 10.1017/S0003480002001070
Sibship methods have been shown to be more powerful than traditional sib-pair methods in mapping quantative trait loci. We propose a statistical procedure which integrates data on sibships into a so-called 'contrast function', a natural extension of the classical squared sib-pair trait difference proposed by Haseman & Elston (1972). We also develop a combined mean and contrast function which provides more information on linkage compared to the contrast function. Our method is extended to multiple, epistatically interacting trait loci. Monte-Carlo simulations are included to compare the efficiencies of the proposed procedures with some currently used methods. An application of our proposed method is presented using data on alcohol dependence.
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In this knowledge base
| Title | Year | PMID |
|---|---|---|
| A novel non-parametric regression reveals linkage on chromosome 4 for the number of externalizing symptoms in sib-pairs. | 2008 | 18454434 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Analysis of quantitative trait loci. | Falchi M | — | 2008 | → |
| A novel non-parametric regression reveals linkage on chromosome 4 for the number of externalizing symptoms in sib-pairs. | Ghosh S et al. | — | 2008 | → |
| Mapping quantitative trait loci in humans: achievements and limitations. | Majumder PP et al. | — | 2005 | → |
| Meta-analysis of the association of a functional serotonin transporter promoter polymorphism with alcohol dependence. | Feinn R et al. | — | 2005 | → |
| Analysis of metabolic syndrome phenotypes in Framingham Heart Study families from Genetic Analysis Workshop 13. | Goldin LR et al. | — | 2003 | → |
| Linkage mapping of total cholesterol level in a young cohort via nonparametric regression. | Ghosh S et al. | — | 2003 | → |
| Recent advances in human quantitative-trait-locus mapping: comparison of methods for selected sibling pairs. | T Cuenco K et al. | — | 2003 | → |