The selection pressures that have shaped the evolution of complex traits in humans remain
largely unknown, and in some contexts highly contentious, perhaps above all where they …

Fields as diverse as human genetics and sociology are increasingly using polygenic scores
based on genome-wide association studies (GWAS) for phenotypic prediction. However …

Several recent papers have reported strong signals of selection on European polygenic
height scores. These analyses used height effect estimates from the GIANT consortium and …

Disease classification, or nosology, was historically driven by careful examination of clinical
features of patients. As technologies to measure and understand human phenotypes …

SNP-heritability is a fundamental quantity in the study of complex traits. Recent studies have
shown that existing methods to estimate genome-wide SNP-heritability can yield biases …

We present a full-likelihood method to infer polygenic adaptation from DNA sequence
variation and GWAS summary statistics to quantify recent transient directional selection …

Phenotype prediction is a key goal for medical genetics. Unfortunately, most genome-wide
association studies are done in European populations, which reduces the accuracy of …

Genome-wide association studies (GWAS) have successfully identified many trait-
associated variants, but there is still much we do not know about the genetic basis of …

Genetic association data from national biobanks and large-scale association studies have
provided new prospects for understanding the genetic evolution of complex traits and …

Genomic data encode past evolutionary events and have the potential to reveal the strength,
rate and biological drivers of adaptation. However, joint estimation of adaptation rate (α) and …