There is growing evidence that much more of the genome than previously thought is
required to explain the heritability of complex phenotypes. Recent studies have …

Genome-wide association studies (GWAS) identify genetic variants that distinguish a control
population from a population with a specific trait. Two challenges in GWAS are:(1) …

The conceptual foundation of the genome‐wide association study (GWAS) has advanced
unchecked since its conception. A revision might seem premature as the potential of GWAS …

Genome-wide association studies (GWAS) have evolved over the last ten years into a
powerful tool for investigating the genetic architecture of human disease. In this work, we …

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 …

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 …

Genome‐wide association studies (GWAS) are a standard approach for investigating the
relationship of common variation within the human genome to a given phenotype of interest …

In this chapter we describe the Association Weight Matrix (AWM), a novel procedure to
exploit the results from genome-wide association studies (GWAS) and, in combination with …

The number of variants that have a non-zero effect on a trait (ie. polygenicity) is a
fundamental parameter in the study of the genetic architecture of a complex trait. Although …

It has been proposed that single nucleotide polymorphisms (SNPs) discovered by genome-
wide association studies (GWAS) account for only a small fraction of the genetic variation of …