Complex or quantitative traits are important in medicine, agriculture and evolution, yet, until
recently, few of the polymorphisms that cause variation in these traits were known. Genome …

A new analysis has identified hundreds of loci that are associated with multiple traits or
diseases by comparing genome-wide association study (GWAS) data for 42 complex traits …

Genome-wide association studies (GWAS) have provided valuable insights into the genetic
basis of complex traits, discovering> 6000 variants associated with> 500 quantitative traits …

Many traits of interest are highly heritable and genetically complex, meaning that much of
the variation they exhibit arises from differences at numerous loci in the genome. Complex …

The success of genome-wide association studies (GWASs) has led to increasing interest in
making predictions of complex trait phenotypes, including disease, from genotype data …

The identification of multiple signals at individual loci could explain additional phenotypic
variance ('missing heritability') of common traits, and help identify causal genes. We …

The genetic architecture of complex traits in cattle includes very large numbers of loci
affecting any given trait. Most of these loci have small effects but occasionally there are loci …

The availability of dense panels of common single-nucleotide polymorphisms and sequence
variants has facilitated the study of statistical features of the genetic architecture of complex …

The last decade of human genetic research witnessed the completion of hundreds of
genome-wide association studies (GWASs). However, the genetic variants discovered …

The omnigenic model was proposed as a framework to understand the highly polygenic
architecture of complex traits revealed by genome-wide association studies (GWASs). I …