Multiple-testing corrections in case-control studies using identity-by-descent segments

We developed an automated, reproducible, and scalable workflow to perform scans for disproportionate identity-by-descent sharing between cases and controls, determining well-controlled significance levels by modeling correlations along the genome. When applied to the Alzheimer’s Disease Sequencing Project, our approach detected signals implicating therapeutic gene targets for Alzheimer disease.