Disease association tests by inferring ancestral haplotypes using a hidden markov model (original) (raw)

2008

Abstract

Abstract 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≈ 10− 7) means that many real signals will be missed. Thus it is still highly relevant to develop methods with improved power at low type I error.

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