… can be reproduced in independent studies. GENOME-WIDE association mapping is a
powerful … will exhibit significant statistical association with the trait. There are two ways in which …

… Rather, we focus here on how genome-wide association studies (GWAS) have changed
the genetic landscape of CeD, Crohn's disease (CD), MS, RA, SLE and T1D research in less …

… We performed genome-wide association studies (GWAS) for 14 agronomic traits in the
population of Oryza sativa indica subspecies. The loci identified through GWAS explained ∼36% …

… genome-wide association studies (GWASs). We propose statistical power calculations for
future GWASs using estimated distributions of effect sizes. Using reported GWAS findings for …

… Genome-wide association studies (GWAS) promised to greatly enhance our understanding
of the genetic basis of common and complex diseases. Companies such as Affymetrix and …

… Over the last few years, many new genetic associations have been identified by genome‐wide
association studies (GWAS). There are potentially many uses of these identified variants: …

… In addition, our approach is computationally tractable on a genome-wide scale. Here, we
test EIGENSTRAT on simulated genome-wide disease studies and apply it to a real data set of …

… decade, genome-wide association studies (GWAS) have considerably improved our
understanding of the genetic basis of kidney function and disease. Population-based studies, used …

… Genome-wide association study (GWAS) has become a widely accepted strategy for
decoding genotypephenotype associations in many species thanks to advances in next-generation …

… Selection of an appropriate statistical significance threshold in genome-wide association
studies is critical to differentiate true positives from false positives and false negatives. Different …