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Logistic regression approach to modelling the variability of recombination rate
Author(s) -
Szyda By J.,
Simianer H.,
Lien S.
Publication year - 2000
Publication title -
journal of animal breeding and genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.689
H-Index - 51
eISSN - 1439-0388
pISSN - 0931-2668
DOI - 10.1046/j.1439-0388.2000.00226.x
Subject(s) - sperm , logistic regression , biology , recombination , genetics , recombination rate , haplotype , chromosome , interval (graph theory) , y chromosome , statistics , evolutionary biology , mathematics , genotype , gene , combinatorics
The objective of the paper is to quantify the relationship between recombination rate and factors such as ‘sex of sperm’, paternal halfsib family, and individual, using logistic regression modelling. The analysed data set consists of 2214 single bovine sperm cell samples. Haplotypes at each single sperm were determined at eleven marker loci forming eight intervals located on chromosomes 6, 23 and X/Y. The experimental design comprises six paternal halfsib families. Six logistic regression models are fitted to the data from each interval. Departure from commonly assumed homogenous recombination is detected for one marker interval on chromosome 23 – influence of individual and ‘sex of sperm’ by family interaction, and for both intervals mapped to sex chromosomes – influence of ‘sex of sperm’ and paternal halfsib family.