Q Lu, B Li, D Ou, M Erlendsdottir, RL Powles… - The American Journal of …, 2017 - cell.com
Despite the success of large-scale genome-wide association studies (GWASs) on complex traits, our understanding of their genetic architecture is far from complete. Jointly modeling …
Although genome-wide association studies (GWASs) have identified thousands of risk loci for many complex traits and diseases, the causal variants and genes at these loci remain …
Variance-component methods that estimate the aggregate contribution of large sets of variants to the heritability of complex traits have yielded important insights into the genetic …
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 …
O Canela-Xandri, K Rawlik, A Tenesa - Nature genetics, 2018 - nature.com
Genome-wide association studies (GWAS) have identified many loci contributing to variation in complex traits, yet the majority of loci that contribute to the heritability of complex traits …
Genome-wide association studies (GWAS) have provided valuable insights into the genetic basis of complex traits, discovering> 6000 variants associated with> 500 quantitative traits …
Although genetic correlations between complex traits provide valuable insights into epidemiological and etiological studies, a precise quantification of which genomic regions …
V Tam, N Patel, M Turcotte, Y Bossé, G Paré… - Nature Reviews …, 2019 - nature.com
Genome-wide association studies (GWAS) involve testing genetic variants across the genomes of many individuals to identify genotype–phenotype associations. GWAS have …
Abstract Summary statistics from genome-wide association studies (GWAS) have facilitated the development of various summary data-based methods, which typically require a …