SEQUENTIAL IMPUTATION FOR MULTILOCUS LINKAGE ANALYSIS

Authors
IRWIN M COX N KONG A
Citation
M. Irwin et al., SEQUENTIAL IMPUTATION FOR MULTILOCUS LINKAGE ANALYSIS, Proceedings of the National Academy of Sciences of the United Statesof America, 91(24), 1994, pp. 11684-11688
Citations number
20
Categorie Soggetti
Multidisciplinary Sciences
Journal title
Proceedings of the National Academy of Sciences of the United Statesof America → ACNP
ISSN journal
00278424
Volume
91
Issue
24
Year of publication
1994
Pages
11684 - 11688
Database
ISI
SICI code
0027-8424(1994)91:24<11684:SIFMLA>2.0.ZU;2-Y
Abstract
A Monte Carlo method called sequential imputation is proposed for mult ilocus likelihood computations. This method is most useful in mapping situations where the data consist of large pedigrees with substantial missing information and it is desirable to perform linkage analysis ut ilizing data from many polymorphic markers simultaneously. A pedigree example with 155 individuals, 9 loci, and 155,520 haplotypes is used f or illustration.