Disease association tests by inferring ancestral haplotypes using a hidden markov model.

doi:10.1093/bioinformatics/btn071

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Article

Disease association tests by inferring ancestral haplotypes using a hidden markov model.

Bioinformatics (Oxford, England) - 1 Apr 2008

Su Shu-Yi, Balding David J, Coin Lachlan J M

Abstract excerpt

MOTIVATION: Most genome-wide association studies rely on single nucleotide polymorphism (SNP) analyses to identify causal loci. The increased stringency required for genome-wide analyses (with per-SNP significance threshold typically approximately 10(-7)) means that many real signals will be miss...

Topics

Algorithms
Biological Evolution
Chromosome Mapping
Computer Simulation
Genetic Predisposition to Disease
Haplotypes
Markov Chains
Models, Genetic
Models, Statistical
Pattern Recognition, Automated

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