Gene–environment interactions (G× E), the interplay of genetic variation with environmental
factors, have a pivotal impact on human complex traits and diseases. Statistically, G× E can …

Genome-wide association studies (GWASs) have focused primarily on populations of
European descent, but it is essential that diverse populations become better represented …

The genetic architecture of common traits, including the number, frequency, and effect sizes
of inherited variants that contribute to individual risk, has been long debated. Genome-wide …

Despite the extensive discovery of trait-and disease-associated common variants, much of
the genetic contribution to complex traits remains unexplained. Rare variants can explain …

During the past decade, genome-wide association studies (GWAS) have been used to
successfully identify tens of thousands of genetic variants associated with complex traits and …

Climate change has generated unpredictability in the timing and amount of rain, as well as
extreme heat and cold spells that have affected grain yields worldwide and threaten food …

The first phase of genome-wide association studies (GWAS) assessed the role of common
variation in human disease. Advances optimizing and economizing high-throughput …

Regulatory and coding variants are known to be enriched with associations identified by
genome-wide association studies (GWASs) of complex disease, but their contributions to …

Most transcriptome-wide association studies (TWASs) so far focus on European ancestry
and lack diversity. To overcome this limitation, we aggregated genome-wide association …

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 …