Haplotypes are an important resource for a large number of applications in human genetics, but computationally inferred haplotypes are subject to switch errors that decrease their utility. The accuracy of computationally inferred haplotypes increases with sample size, and although ever larger genotypic data sets are being generated, the fact that existing methods require substantial computation...

Variant cytochrome P450 (CYP) 2C9 genotypes are associated with low maintenance dose requirement of warfarin therapy and increased risk of major bleeding events. The objective of the present study was to evaluate the potential clinical and economic outcomes of using CYP2C9 genotype data to guide the management of anticoagulation therapy and to identify influential factors affecting the cost-eff...

Abstract For conservation genetic studies using non-invasively collected samples, genome-wide data may be hard to acquire. Until now, such have instead mostly relied on analyses of traditional markers as microsatellites (SSRs). Recently, high throughput genotyping single nucleotide polymorphisms (SNPs) has become available, expanding the use genomic methods include non-model species concern. We...

An efficient rule-based algorithm is presented for haplotype inference from general pedigree genotype data, with the assumption of no recombination. This algorithm generalizes previous algorithms to handle the cases where some pedigree founders are not genotyped, provided that for each nuclear family at least one parent is genotyped and each non-genotyped founder appears in exactly one nuclear ...

Single-step genomic best linear unbiased predictor (ssGBLUP) is a methodology for estimating breeding values jointly genotyped and non-genotyped animals. Since its development in the early 2010s, ssGBLUP faced challenges like modelling missing pedigrees, efficiently computing accuracies, ensuring compatibility between pedigree information, implementing large-scale genetic evaluations, using ani...