Genome-wide association studies (GWAS) have rapidly become a powerful tool in genetic
studies of complex diseases and traits. Traditionally, single marker-based tests have been …

Gene set analysis (GSA) is a promising tool for uncovering the polygenic effects associated
with complex diseases. However, the available techniques reflect a wide variety of …

During the last decade, genome-wide association studies (GWAS) have represented a
major approach to dissect complex human genetic diseases. Due in part to limited statistical …

Genome-wide association studies (GWAS) have emerged as the method of choice for
identifying common variants affecting complex disease. In a GWAS, particular attention is …

Genome-wide association studies (GWAS) have become increasingly common due to
advances in technology and have permitted the identification of differences in single …

Over thousands of genetic associations to diseases have been identified by genome-wide
association studies (GWASs), which conceptually is a single-marker-based approach. There …

Published genomewide association (GWA) studies typically analyze and report single-
nucleotide polymorphisms (SNPs) and their neighboring genes with the strongest evidence …

Genome-wide association study (GWAS) is nowadays widely used to identify genes
involved in human complex disease. The standard GWAS analysis examines SNPs/genes …

Background High-throughput genotype (HTG) data has been used primarily in genome-wide
association (GWA) studies; however, GWA results explain only a limited part of the complete …

Millions of genetic variants have been assessed for their effects on the trait of interest in
genome-wide association studies (GWAS). The complex traits are affected by a set of inter …