Genome-wide association (GWA) studies are an effective approach for identifying genetic
variants associated with disease risk. GWA studies can be confounded by population …

Although genome-wide association studies (GWASs) have identified numerous loci
associated with complex traits, imprecise modeling of the genetic relatedness within study …

We review the problem of confounding in genetic association studies, which arises
principally because of population structure and cryptic relatedness. Many treatments of the …

F ST and kinship are key parameters often estimated in modern population genetics studies
in order to quantitatively characterize structure and relatedness. Kinship matrices have also …

Genome-wide association studies are routinely conducted to identify genetic variants that
influence complex disorders. It is well known that failure to properly account for population or …

Background Meat quality is an important economic trait in chickens. To identify loci and
genes associated with meat quality traits, we conducted a genome-wide association study …

Population stratification is an important issue in case–control studies of disease‐marker
association. Failure to properly account for population structure can lead to spurious …

Incidence rates for many cancers differ markedly by race/ethnicity and furthering our
understanding of the genetic and environmental causes of such disparities is a scientific and …

In order to find SNPs and genes affecting shank traits, we performed a GWAS in a chicken
F2 population of eight half‐sib families from five hatches derived from reciprocal crosses …

Understanding the genetic control of growth traits is one of the most important breeding
goals in poultry industry. In order to find genes and genomic regions affecting growth traits …