CompGen Team Develops Faster Algorithms to Analyze Genomic Associations

The genome-wide association study (GWAS) has great potential to facilitate the identification of genomic loci underlying phenotypic variability and disease susceptibility. Although successful in elucidating the genomic sources of a wide range of agronomically important traits and human diseases, the statistical approaches employed in a typical GWAS assume a potentially over simplistic model of the relationship between genes and traits. (more…)