Chromosome 21 genetic linkage data set based on the Venezuelan reference pedigree

1992 ◽  
Vol 59 (2-3) ◽  
pp. 88-89
Author(s):  
J.L. Haines ◽  
J.A. Trofatter ◽  
R.E. Tanzi ◽  
P. Watkms ◽  
N.S. Wexler ◽  
...  
1992 ◽  
Vol 59 (2-3) ◽  
pp. 86-87 ◽  
Author(s):  
A.C. Warren ◽  
S.E. Antonarakis ◽  
A. Chakravarti

Author(s):  
Robert W. Cottingham ◽  
Margaret Gelder Ehm ◽  
Marek Kimmel

Author(s):  
SHELLEY D. SMITH ◽  
BRUCE F. PENNINGTON ◽  
WILLIAM J. KIMBERLING ◽  
PAUL S. ING

Genomics ◽  
1992 ◽  
Vol 14 (3) ◽  
pp. 604-610 ◽  
Author(s):  
Stephen E. Lincoln ◽  
Eric S. Lander

Genetics ◽  
1995 ◽  
Vol 139 (2) ◽  
pp. 1031-1044 ◽  
Author(s):  
M S McPeek ◽  
T P Speed

Abstract In analyzing genetic linkage data it is common to assume that the locations of crossovers along a chromosome follow a Poisson process, whereas it has long been known that this assumption does not fit the data. In many organisms it appears that the presence of a crossover inhibits the formation of another nearby, a phenomenon known as "interference." We discuss several point process models for recombination that incorporate position interference but assume no chromatid interference. Using stochastic simulation, we are able to fit the models to a multilocus Drosophila dataset by the method of maximum likelihood. We find that some biologically inspired point process models incorporating one or two additional parameters provide a dramatically better fit to the data than the usual "no-interference" Poisson model.


1983 ◽  
Vol 47 (1) ◽  
pp. 49-53 ◽  
Author(s):  
M. LEWIS ◽  
H. KAITA ◽  
S. PHILIPPS ◽  
E. R. GIBLETT ◽  
J. E. ANDERSON

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