eLife assessment
This study is of potential interest to readers in human genetics and quantitative genetics, as it presents a new method for homozygosity mapping in population-scale datasets, based on an innovative computational algorithm that efficiently identifies runs-of-homozygosity (ROH) segments shared by many individuals. Although the method is innovative and has the potential to be broadly useful, its power and limitations have not yet been adequately evaluated. The application of this new method to the UK Biobank dataset identifies several interesting associations, but it remains currently unclear under what conditions the new approach can provide additional power over existing genome-wide association study methods.