The Quantitative LOD Score: Test Statistic and Sample Size for Exclusion and Linkage of Quantitative Traits in Human Sibships
✍ Scribed by Grier P. Page; Christopher I. Amos; Eric Boerwinkle
- Book ID
- 117852346
- Publisher
- American Society of Human Genetics
- Year
- 1998
- Tongue
- English
- Weight
- 118 KB
- Volume
- 62
- Category
- Article
- ISSN
- 0002-9297
- DOI
- 10.1086/301783
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
## Abstract In the linakge analysis of quantitative traits, an additive model that assumes no dominance effect is often adopted. Intuitively, when the no‐dominance‐effect assumption does not hold, such a practice does not make efficient use of the data, and its power to detect linkage can be improv
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
## Abstract We propose a new approach for the analysis of copy number variants (CNVs)for genome‐wide association studies in family‐based designs. Our new overall association test combines the between‐family component and the within‐family component of the family‐based data so that the new test stat