Linkage analysis for mapping genes of sex-influenced traits
β Scribed by Nicole R. London; John R. Garbe; Sheila M. Schmutz; Mitchell S. Abrahamsen; Yang Da
- Book ID
- 106014920
- Publisher
- Springer-Verlag
- Year
- 2003
- Tongue
- English
- Weight
- 251 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0938-8990
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract Variance component models form a powerful and flexible tool for multipoint linkage analysis of quantitative traits. Estimates of genetic similarity are needed for the variance component model to detect linkage and to locate genes, and two methods are commonly used to calculate multipoin
## Abstract Etiologic heterogeneity is a fundamental feature of complex disease etiology; genetic linkage analysis methods to map genes for complex traits that acknowledge the presence of genetic heterogeneity are likely to have greater power to identify subtle changes in complex biologic systems.
Extending the method for linkage analysis [Zhao et al., 1998a: Am. J. Med. Genet. 77:366-383; 1998b: Am. J. Med. Genet. 79:49-61], this article describes a method for the linkage-disequilibrium analysis, and for combining linkage and linkage-disequilibrium analyses. As highly dense markers are incre