The prediction accuracies of polygenic scores in humans vary depending on the characteristics of the samples, as well as based on the study design, within a single ancestry group.

A resource to systematically explore the association between overall genetic risk for 162 risk factors and disease with 551 outcomes.

Correction for stratification in genome-wide association studies should be informed by the demographic history of the sample.

Current polygenic scores for education do not provide accurate predictions of educational achievement above other data or at the individual level.

A study of 3,500 children in the UK shows that data on socioeconomic background and previous educational achievements can better predict how students will perform at school than genetic data.

A simulation study demonstrates a better method for separating genetic effects from environmental effects in genome-wide association studies, but there is still some way to go before this becomes a "solved" problem.

Great care is needed when interpreting claims about the genetic basis of human variation based on data from genome-wide association studies.

Susceptibility to uterine fibroids, benign tumors that affect the health of many women, is linked to genes that are responsible for preserving genome integrity and promoting genitourinary development.

Two studies suggest that a determined adversary may be able to obtain genetic information that they should not have permission to access from some genealogy databases.

We identify key strengths and limitations in use of viral genotyping and phenotyping to estimate pandemic risk from influenza A viruses, focusing on 3 traits, hemagglutinin binding specificity, hemagglutinin pH of activation, and polymerase complex efficiency.