The genomic prediction of phenotypes and breeding values in animals and plants has
developed rapidly into its own research field. Results of genomic prediction studies are often …

With the recent explosion in high-throughput genotyping technology, the amount and quality
of single-nucleotide polymorphism (SNP) data has increased exponentially. Therefore, the …

In this era of genome-wide association studies (GWAS), the quest for understanding the
genetic architecture of complex diseases is rapidly increasing more than ever before. The …

Genome-Wide Association Studies are powerful tools to detect genetic variants associated
with diseases. Their results have, however, been questioned, in part because of the bias …

Relationship estimation and segment detection between individuals is an important aspect
of disease gene mapping. Existing methods are either tailored for computational efficiency …

Background Simulation of genetic variants data is frequently required for the evaluation of
statistical methods in the fields of human and animal genetics. Although a number of high …

Epistasis is a ubiquitous phenomenon in genetics, and is considered to be one of the main
factors in current efforts to detect missing heritability for complex diseases. Simulation is a …

Genome-wide association study (GWAS) is essential for investigating the genetic basis of
complex diseases; nevertheless, it usually ignores the interaction of multiple single …

In both pedigree linkage studies and in population-based association studies there has
been much interest in the use of modern dense genetic marker data to infer segments of …

Epidemiology models are central to understanding and controlling large-scale pandemics.
Several epidemiology models require simulation-based inference such as Approximate …