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Shared genomic segment (SGS) analysis uses dense single nucleotide polymorphism genotyping in high‐risk (HR) pedigrees to identify regions of sharing between cases. Here, we illustrate the power of SGS to identify dominant rare risk variants. Using simulated pedigrees, we consider 12 disease models based on disease prevalence, minor allele frequency and penetrance to represent disease loci that explain...
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