Modeling the effect of an associated single-nucleotide polymorphism in linkage studies.
For linkage analysis in affected sibling pairs, we propose a regression model to incorporate information from a disease-associated single-nucleotide polymorphism located under the linkage peak. This model can be used to study if the associated single-nucleotide polymorphism marker partly explains the original linkage peak. Two sources of information are used for performing this task, namely the genotypes of the parents and the genotypes of the siblings. We applied the methods to three significantly disease-associated single-nucleotide polymorphisms and five microsatellite markers at the end of chromosome 3 of replicate 1 of Aipotu population. Two out of five of the microsatellite markers showed a LOD score higher than 3. The question to be answered was whether one of the single-nucleotide polymorphisms partly explains these high LOD scores. We did not have the answers when we analyzed the data.
Houwing-Duistermaat
Jeanine J
JJ
Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands. j.j.houwing@lumc.nl
Uh
Hae-Won
HW
Lebrec
Jeremie J P
JJ
Putter
Hein
H
Hsu
Li
L
D002893:Chromosomes, Human, Pair 3 / Q000235:genetics; D008040:Genetic Linkage; D020022:Genetic Predisposition to Disease; D006801:Humans; D008126:Lod Score; D018895:Microsatellite Repeats / Q000235:genetics; D008957:Models, Genetic; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*