Significance testing was developed as an objective method for summarizing statistical
evidence for a hypothesis. It has been widely adopted in genetic studies, including genome …

Genetic factors strongly affect susceptibility to common diseases and also influence disease-
related quantitative traits. Identifying the relevant genes has been difficult, in part because …

Motivation: In order to discover quantitative trait loci, multi-dimensional genomic datasets
combining DNA-seq and ChiP-/RNA-seq require methods that rapidly correlate tens of …

The poolr package provides an implementation of a variety of methods for pooling (ie,
combining) p values, including Fisher's method, Stouffer's method, the inverse chisquare …

Genetic variation modulates protein expression through both transcriptional and post-
transcriptional mechanisms. To characterize the consequences of natural genetic diversity …

Although genetic association studies have been with us for many years, even for the
simplest analyses there is little consensus on the most appropriate statistical procedures …

Abstract The JAX Diversity Outbred population is a new mouse resource derived from
partially inbred Collaborative Cross strains and maintained by randomized outcrossing. As …

Genomewide association studies are an exciting strategy in genetics, recently becoming
feasible and harvesting many novel genes linked to multiple phenotypes. Determining the …

The stress hormone–regulating hypothalamic-pituitary-adrenal (HPA) axis has been
implicated in the causality as well as the treatment of depression. To investigate a possible …

We investigated selection and analysis of tag SNPs for genome-wide association studies by
specifically examining the relationship between investment in genotyping and statistical …