## Abstract Multipoint linkage analysis gives increased power over singleβpoint analysis to detect linkage for quantitative trait loci (QTL). Besides increased power, the use of multipoint methods makes it possible to estimate not only the location but also the magnitude of the QTL. Currently, two
Screening for linkage using a multipoint identity-by-descent method
β Scribed by Dr. Cathryn M. Lewis; David E. Goldgar
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 310 KB
- Volume
- 12
- Category
- Article
- ISSN
- 0741-0395
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
The multipoint identityβbyβdescent method (MIM) was used to analyze simulated data for quantitative traits from GAW9. A twoβstage method of implementation was used. First, polymorphic markers spaced 6β12 cM apart were used to identify chromosomes of interest for each trait Q1βQ4; and second, for each of these chromosomes, markers spaced 2 cM apart were used to confirm the linkage detected and refine the region for the susceptibility loci. MIM performed well at both levels of mapping, correctly detecting major genes for trait Q3 on chromosome 2, trait Q2 on chromosome 1, and trait Q4 on chromosome 5. Β© 1995 WileyβLiss, Inc.
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The multipoint identity-by-descent method (MIM) was extended to test for evidence of quantitative trait loci in two independent genetic regions. This method is a fast and feasible implementation of a multiple-marker, two-region linkage analysis for quantitative traits. It tests for significant evide
The multipoint identity-by-descent method was developed to detect linkage to a specific chromosomal region through partitioning the genetic variance. This method has previously been applied to quantitative traits, and here is extended to a qualitative trait, where a dichotomous affectedunaffected st
## Abstract Identification of genes involved in complex traits by traditional (lod score) linkage analysis is difficult due to many complicating factors. An unfortunate drawback of nonβparametric procedures in general, though, is their low power to detect genetic effects. Recently, Dudoit and Speed