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nature genetics volume 30 january 2002 97 Merlin--rapid analysis of dense genetic maps using
 

Summary: letter
nature genetics · volume 30 · january 2002 97
Merlin--rapid analysis of dense genetic maps using
sparse gene flow trees
Gonçalo R. Abecasis1,2, Stacey S. Cherny1, William O. Cookson1 & Lon R. Cardon1
1The Wellcome Trust Center for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. 2Present address: Center for Statistical Genetics, Department
for Biostatistics, School of Public Health, 1420 Washington Heights, Ann Arbor, Michigan 48109-2029, USA. Correspondence should be addressed to G.R.A.
(e-mail: goncalo@umich.edu).
Efforts to find disease genes using high-density single-
nucleotide polymorphism (SNP) maps will produce data sets
that exceed the limitations of current computational tools.
Here we describe a new, efficient method for the analysis of
dense genetic maps in pedigree data that provides extremely
fast solutions to common problems such as allele-sharing
analyses and haplotyping. We show that sparse binary trees
represent patterns of gene flow in general pedigrees in a parsi-
monious manner, and derive a family of related algorithms for
pedigree traversal. With these trees, exact likelihood calcula-
tions can be carried out efficiently for single markers or for
multiple linked markers. Using an approximate multipoint cal-

  

Source: Abecasis, Goncalo - Department of Biostatistics, University of Michigan

 

Collections: Biology and Medicine; Mathematics