How to quantify information loss due to phase ambiguity in haplotype case-control studies

BMC Genetics

Volumn 6, Issue SUPPL.1, 2005, Pages

  Uh, Hae Won ^a   Houwing Duistermaat, Jeanine J ^a   Putter, Hein ^a   Van Houwelingen, Hans C ^a  

^a LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; BIOINFORMATICS; CASE CONTROL STUDY; GENE FREQUENCY; GENOTYPE; HAPLOTYPE; LINKAGE ANALYSIS; PROBABILITY; QUANTITATIVE ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM; GENETICS; HETEROZYGOTE; HOMOZYGOTE; HUMAN;

CASE-CONTROL STUDIES; HAPLOTYPES; HETEROZYGOTE; HOMOZYGOTE; HUMANS;

EID: 30344467718     PISSN: None     EISSN: 14712156     Source Type: Journal    
DOI: 10.1186/1471-2156-6-S1-S108     Document Type: Article

References (6)

1. Hodge SE, Boenke M, Spence MA: Loss of information due to ambiguous haplotyping. Nat Genet 1999, 21:360-361.
2. Louis T: Finding the observed information matrix when using the EM algorithm. J Roy Stat Soc B Met 1982, 44:226-233.
3. Fedorov VV: Theory of Optimal Experiments New York: Academic Press; 1972.
4. Clayton D, Jones H: Transmission/disequilibrium tests for extended marker haplotypes. Am J Hum Genet 1999, 65:1161-1169.
5. R Development Core Team: R: A language and environment for statistical computing. In R Found Stat Comput Vienna, Austria. ISBN 3-900051-00-3
6. Stram DO, Leigh Pearce C, Bretsky P, Freedman M, Hirschhorn JN, Altshuler D, Kolonel LN, Henderson BE, Thomas DC: Modeling and E-M estimation of haplotype-specific relative risks from genotype data for a case-control study of unrelated individuals. Hum Hered 2003, 55:179-190.