Genome-wide association studies (GWAS) test hundreds of thousands of genetic variants
across many genomes to find those statistically associated with a specific trait or disease …

2. INTRODUCTION The investigation of many fundamental processes in life sciences
requires straightforward tools for fast, sensitive, reliable, and reproducible detection of …

The past five years have seen many scientific and biological discoveries made through the
experimental design of genome-wide association studies (GWASs). These studies were …

Over the last decade, GWAS meta-analyses have used a strict P-value threshold of 5× 10− 8
to classify associations as significant. Here, we use our current understanding of frequently …

Current methods for inferring population structure from genetic data do not provide formal
significance tests for population differentiation. We discuss an approach to studying …

Biosensors are important tools in biomedical research. Moreover, they are becoming an
essential part of modern healthcare. In the future, biosensor development will become even …

Antigen stimulation of immune cells triggers Ca2+ entry through Ca2+ release-activated
Ca2+ (CRAC) channels, promoting the immune response to pathogens by activating the …

For almost 20 years, many inference methods have been developed to detect selective
sweeps and localize the targets of directional selection in the genome. These methods are …

Despite the success of genome-wide association studies (GWASs) in identifying loci
associated with common diseases, a substantial proportion of the causality remains …

Breast cancer exhibits familial aggregation, consistent with variation in genetic susceptibility
to the disease. Known susceptibility genes account for less than 25% of the familial risk of …