A Survey of Affected-Sibship Statistics for Nonparametric Linkage Analysis
β Scribed by Haydar Sengul; Daniel E. Weeks; Eleanor Feingold
- Book ID
- 117853642
- Publisher
- American Society of Human Genetics
- Year
- 2001
- Tongue
- English
- Weight
- 121 KB
- Volume
- 69
- Category
- Article
- ISSN
- 0002-9297
- DOI
- 10.1086/321264
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π SIMILAR VOLUMES
Two-stage global search designs for linkage analysis using pairs of affected relatives were shown by Elston et al. [1996] to typically halve the cost of a study compared to a one-stage design. The statistic used for testing linkage in that study was based on the proportion of pairs sharing no marker
Model-free linkage analysis methods, based on identity-by-descent allele sharing, are commonly used for complex trait analysis. The Maximum-Likelihood-Binomial (MLB) approach, which is based on the hypothesis that parental alleles are binomially distributed among affected sibs, is particularly popul