Motivation: Genome-wide association studies (GWASs) have been widely used to map loci
contributing to variation in complex traits and risk of diseases in humans. Accurate …

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

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 examine improvements to the linear mixed model (LMM) that better correct for
population structure and family relatedness in genome-wide association studies (GWAS) …

Background Feasibility of genotyping of hundreds and thousands of single nucleotide
polymorphisms (SNPs) in thousands of study subjects have triggered the need for fast …

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

The determination of the relationship between a pair of individuals is a fundamental
application of genetics. Previously, we and others have demonstrated that identity-by …

Genetic correlation is the correlation of phenotypic effects by genetic variants across the
genome on two phenotypes. It is an informative metric to quantify the overall genetic …

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 …

We conduct an extensive simulation study to compare the merits of several methods for
using null (unlinked) markers to protect against false positives due to cryptic substructure in …