A Bayesian approach using covariance of single nucleotide polymorphism data to detect differences in linkage disequilibrium patterns between groups of individuals

Bioinformatics

Volumn 26, Issue 16, 2010, Pages 1999-2003

  Clark, Taane G ^a,b   Campino, Susana G ^b   Anastasi, Elisa ^b   Auburn, Sarah ^b   Teo, Yik Y ^c   Small, Kerrin ^c   Rockett, Kirk A ^c   Kwiatkowski, Dominic P ^b,c   Holmes, Christopher C ^d  

^a LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

^b WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^c UNIVERSITY OF OXFORD   (United Kingdom)

^d UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; COMPUTER PROGRAM; GENE LINKAGE DISEQUILIBRIUM; GENETIC ASSOCIATION; GENOME; GENOTYPE; HUMAN; SAMPLE SIZE; SINGLE NUCLEOTIDE POLYMORPHISM;

BAYES THEOREM; GENOME; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HUMANS; LINKAGE DISEQUILIBRIUM; POLYMORPHISM, SINGLE NUCLEOTIDE; SAMPLE SIZE; SOFTWARE;

EID: 77955438093     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btq327     Document Type: Article

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