## Abstract Identification of the genetic basis of common traits may be hindered by underlying complex genetic architectures that are inadequately captured by existing models, including both multiallelic and multilocus modes of inheritance (MOI). One useful approach for localizing genes underlying
Segregation and linkage analysis of the complex trait Q1
โ Scribed by Dr. Larry D. Atwood; Braxton D. Mitchell; Nicole C. Stowell
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 344 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
โฆ Synopsis
Segregation and linkage analysis of GAW9 Problem 2 quantitative trait 1 (Ql) was performed. Eight segregation models comprising all possible combinations of the environmental factor (EF), quantitative trait 2 (Q2), and quantitative trait 3 (Q3) as covariates were considered. Seven of the eight segregation models showed strong evidence for a major gene, the other model was marginal. When all genotypes are known, some evidence for linkage (lod > 2) was found to all three of the markers that affect Q1. Furthermore, four of the eight models each showed some linkage (lod > 2) to two of the three markers that affect Q1 with no false positives. Each of these segregation analysis major genes is a hybrid combination ofthe true multiple loci that affect Q1.
๐ SIMILAR VOLUMES
A two-locus segregation and linkage-analysis approach was used to characterize the genetic control of a complex trait (Ql) and to localize the genes that have detectable effects. The results suggested that a two-locus Mendelian model fit the data significantly better than a one-locus model. The link
Our goal was to determine the degree to which joint segregation and linkage analysis leads to increased efficiency for estimating the recombination fraction and to greater power for detecting linkage, compared to separate analyses. We concentrated on the quantitative phenotype Q2 and analyzed linkag