New Section for Genetic Linkage Data

1985 ◽  
Vol 39 (2) ◽  
pp. 81-81
Keyword(s):  
Genetic Linkage ◽  
Linkage Data ◽  
Genetic Linkage Data

Error Analysis of Genetic Linkage Data

1997 ◽  
pp. 135-143 ◽  
Author(s):  
Robert W. Cottingham ◽  
Margaret Gelder Ehm ◽  
Marek Kimmel
Keyword(s):  
Error Analysis ◽  
Genetic Linkage ◽  
Linkage Data ◽  
Genetic Linkage Data

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 ◽  
...  
Keyword(s):  
Genetic Linkage ◽  
Chromosome 21 ◽  
Linkage Data ◽  
Data Set ◽  
Genetic Linkage Data

Familial Dyslexia: Use of Genetic Linkage Data to Define Subtypes

1990 ◽  
Vol 29 (2) ◽  
pp. 204-213 ◽  
Author(s):  
SHELLEY D. SMITH ◽  
BRUCE F. PENNINGTON ◽  
WILLIAM J. KIMBERLING ◽  
PAUL S. ING
Keyword(s):  
Genetic Linkage ◽  
Linkage Data ◽  
Familial Dyslexia ◽  
Genetic Linkage Data

Systematic detection of errors in genetic linkage data

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

scholarly journals Modeling interference in genetic recombination.

Genetics ◽  
1995 ◽  
Vol 139 (2) ◽  
pp. 1031-1044 ◽  
Author(s):  
M S McPeek ◽  
T P Speed
Keyword(s):  
Point Process ◽  
Genetic Linkage ◽  
Genetic Recombination ◽  
Poisson Model ◽  
Process Models ◽  
Linkage Data ◽  
Biologically Inspired ◽  
Method Of Maximum Likelihood ◽  
Point Process Models ◽  
Genetic Linkage Data

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.

Genetic linkage data for the Dombrock blood group locus relative to chromosome 1 and chromosome 4 loci

1983 ◽  
Vol 47 (1) ◽  
pp. 49-53 ◽  
Author(s):  
M. LEWIS ◽  
H. KAITA ◽  
S. PHILIPPS ◽  
E. R. GIBLETT ◽  
J. E. ANDERSON
Keyword(s):  
Blood Group ◽  
Genetic Linkage ◽  
Chromosome 1 ◽  
Linkage Data ◽  
Chromosome 4 ◽  
Group Locus ◽  
Genetic Linkage Data

Chromosome 21 genetic linkage data set based on CEPH pedigrees

1992 ◽  
Vol 59 (2-3) ◽  
pp. 86-87 ◽  
Author(s):  
A.C. Warren ◽  
S.E. Antonarakis ◽  
A. Chakravarti
Keyword(s):  
Genetic Linkage ◽  
Chromosome 21 ◽  
Linkage Data ◽  
Data Set ◽  
Genetic Linkage Data
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