The development of detailed single nucleotide polymorphism (SNP) maps of the human genome coupled with high-throughput genotyping technologies may allow us to unravel complex genetic traits, such as multifactorial disease or drug response, over the next few years. Here we describe the current efforts to identify and characterize the large numbers of SNPs required and discuss the practicalities ...

Enteric ruminant methane is the most important greenhouse gas emitted from the pastoral agricultural systems. Genetic improvement of livestock provides a cumulative and permanent impact on performance, and using high-density SNP panels can increase the speed of improvement for most traits. In this study, a data set of 1,726 dairy cows, collected since 1990, was used to calculate a predicted met...

Lignocellulosic biomass from trees provides a renewable feedstock for biofuels, lumber, pulp, paper, and other uses. Dissecting the mechanism underlying natural variation of the complex traits controlling growth and lignocellulose biosynthesis in trees can enable marker-assisted breeding to improve wood quality and yield. Here, we combined linkage disequilibrium (LD)-based association analysis ...

Interest in genetic improvement of carcass and tenderness traits of beef cattle using genome-based selection (GS) and marker-assisted management programs is increasing. The success of such a program depends on the presence of linkage disequilibrium between the observed markers and the underlying QTL as well as on the relationship between the discovery, validation, and target populations. For mo...

The myogenic determination 1 (MyoD1) gene is a member of the MyoD gene family. It encodes for skeletal muscle-specific transcription factors containing highly conserved basic helix-loop-helix regions that perform important roles in the initiation, maintenance, and regulation of phenotypic traits. We investigated a new single nucleotide polymorphism (SNP) in the MyoD1 gene to evaluate wheth...

BLUP (best linear unbiased prediction) is widely used to predict complex traits in plant and animal breeding, and increasingly in human genetics. The BLUP mathematical model, which consists of a single random effect term, was adequate when kinships were measured from pedigrees. However, when genome-wide SNPs are used to measure kinships, the BLUP model implicitly assumes that all SNPs have the ...

The most important traits of Chinese Liaoning cashmere goat fiber are fiber diameter, weight, and length. We looked for polymorphisms and their possible association with cashmere fiber traits in the 5' upstream region (5' UTR) of the prolactin receptor gene (PRLR), which encodes an anterior pituitary peptide hormone involved in different physiological activities; it is the principal endocr...

Bayesian genomic prediction methods, commonly used for genomic selection in livestock, are potentially a powerful tool for QTL discovery. However these methods become more computationally challenging as we move from HD SNP to sequence variants. We discuss results from a modified BayesR analysis in which 800K genotypes and subsets of imputed sequence variants were allocated to specific classes b...