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 …

Knowledge of biological relatedness between samples is important for many genetic
studies. In large-scale human genetic association studies, the estimated kinship is used to …

The application of genetic relationships among individuals, characterized by a genetic
relationship matrix (GRM), has far-reaching effects in human genetics. However, the current …

Population structure and kinship are widespread confounding factors in genome-wide
association studies (GWAS). It has been standard practice to include principal components …

Genealogical inference from genetic data is essential for a variety of applications in human
genetics. In genome-wide and sequencing association studies, for example, accurate …

We propose a multilocus version of F ST and a measure of haplotype diversity using
localized haplotype clusters. Specifically, we use haplotype clusters identified with BEAGLE …

Background Theoretical work suggests that data from multiple nuclear loci provide better
estimates of population genetic parameters than do single loci, but just how many loci are …

Background Population structure analysis is important to genetic association studies and
evolutionary investigations. Parametric approaches, eg STRUCTURE and L-POP, usually …

Genome-wide association studies (GWASs) are commonly used for the mapping of genetic
loci that influence complex traits. A problem that is often encountered in both population …

In a pair of seminal papers, Sewall Wright and Gustave Malécot introduced F ST as a
measure of structure in natural populations. In the decades that followed, a number of …