The advantages of dense marker sets for linkage analysis with very large families
Details
Publication Year 2007-05, Volume 121, Issue #3-4, Page 459-468
Journal Title
HUMAN GENETICS
Publication Type
Journal Article
Abstract
Dense sets of hundreds of thousands of markers have been developed for genome-wide association studies. These marker sets are also beneficial for linkage analysis of large, deep pedigrees containing distantly related cases. It is impossible to analyse jointly all genotypes in large pedigrees using the Lander-Green Algorithm, however, as marker density increases it becomes less crucial to analyse all individuals' genotypes simultaneously. In this report, an approximate multipoint non-parametric technique is described, where large pedigrees are split into many small pedigrees, each containing just two cases. This technique is demonstrated, using phased data from the International Hapmap Project to simulate sets of 10,000, 50,000 and 250,000 markers, showing that it becomes increasingly accurate as more markers are genotyped. This method allows routine linkage analysis of large families with dense marker sets and represents a more easily applied alternative to Monte Carlo Markov Chain methods.
Publisher
SPRINGER
Keywords
SINGLE-NUCLEOTIDE POLYMORPHISMS; MICROSATELLITE MAPS; PARKINSONS-DISEASE; PEDIGREE ANALYSIS; GENETIC-ANALYSIS; HUMAN GENOME; DISEQUILIBRIUM; COMPUTATIONS; HOMOZYGOSITY; CANCER
Rights Notice
Refer to copyright notice on published article.


Creation Date: 2007-05-01 12:00:00
Last Modified: 0001-01-01 12:00:00
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