The reduced costs of sequencing have led to whole-genome sequences for a large number
of microorganisms, enabling the application of microbial genome-wide association studies …

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

Linear mixed models (LMMs) are widely used in genome-wide association studies (GWASs)
to account for population structure and relatedness, for both continuous and binary traits …

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 …

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 …

We present a method, fastIBD, for finding tracts of identity by descent (IBD) between pairs of
individuals. FastIBD can be applied to thousands of samples across genome-wide SNP data …

Association mapping has successfully identified common SNPs associated with many
diseases. However, the inability of this class of variation to account for most of the supposed …

Population stratification (PS) is a primary consideration in studies of genetic determinants of
human traits. Failure to control for PS may lead to confounding, causing a study to fail for …

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 …

Statistical analyses are a crucial component of the biomedical research process and are
necessary to draw inferences from biomedical research data. The application of sound …