The prediction of identity by descent (IBD) probabilities is essential for all methods that map quantitative trait loci (QTL). The IBD probabilities may be predicted from marker genotypes and/or pedigree information. Here, a method is presented that predicts IBD probabilities at a given chromosomal location given data on a haplotype of markers spanning that position. The method is based on a simplification of the coalescence process, and assumes that the number of generations since the base population and effective population size is known, although effective size may be estimated from the data. The probability that two gametes are IBD at a particular locus increases as the number of markers surrounding the locus with identical alleles incr...
We propose an analytical approximation method for the estimation of multipoint identity by descent (...
We propose an analytical approximation method for the estimation of multipoint identity by descent (...
Contains fulltext : 70751.pdf (publisher's version ) (Closed access)We propose an ...
The prediction of identity by descent (IBD) probabilities is essential for all methods that map quan...
Previous studies have enabled exact prediction of probabilities of identity-by-descent (IBD) in rand...
Abstract A novel multiple regression method (RM) is developed to predict identity-by-descent probabi...
Abstract A fast, partly recursive deterministic method for calculating Identity-by-Descent (IBD) pro...
There has been much interest in detecting genomic identity by descent (IBD) segments from modern den...
A fast, partly recursive deterministic method for calculating Identity-by-Descent (IBD) probabilitie...
With the highly dense genomic data available nowadays, ignoring linkage between genes would result i...
The probabilities that two individuals share 0, 1, or 2 alleles identical by descent (IBD) at a give...
The accurate estimation of the probability of identity by descent (IBD) at loci or genome positions ...
In a founder population patients with a genetic disease are likely to share predisposing genes from ...
Background: Identity by descent (IBD) matrix estimation is a central component in mapping of Quantit...
A method is given for determining the probabilities that genes are identical by descent, at a locus...
We propose an analytical approximation method for the estimation of multipoint identity by descent (...
We propose an analytical approximation method for the estimation of multipoint identity by descent (...
Contains fulltext : 70751.pdf (publisher's version ) (Closed access)We propose an ...
The prediction of identity by descent (IBD) probabilities is essential for all methods that map quan...
Previous studies have enabled exact prediction of probabilities of identity-by-descent (IBD) in rand...
Abstract A novel multiple regression method (RM) is developed to predict identity-by-descent probabi...
Abstract A fast, partly recursive deterministic method for calculating Identity-by-Descent (IBD) pro...
There has been much interest in detecting genomic identity by descent (IBD) segments from modern den...
A fast, partly recursive deterministic method for calculating Identity-by-Descent (IBD) probabilitie...
With the highly dense genomic data available nowadays, ignoring linkage between genes would result i...
The probabilities that two individuals share 0, 1, or 2 alleles identical by descent (IBD) at a give...
The accurate estimation of the probability of identity by descent (IBD) at loci or genome positions ...
In a founder population patients with a genetic disease are likely to share predisposing genes from ...
Background: Identity by descent (IBD) matrix estimation is a central component in mapping of Quantit...
A method is given for determining the probabilities that genes are identical by descent, at a locus...
We propose an analytical approximation method for the estimation of multipoint identity by descent (...
We propose an analytical approximation method for the estimation of multipoint identity by descent (...
Contains fulltext : 70751.pdf (publisher's version ) (Closed access)We propose an ...