medRxivJClub
Evolution-guided association mapping using long-read genomes from a self-identified Black or African American cohort in All of Us
medRxiv · · Preprint · Open access
Soisangwan, Garimella + 8 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Evolution-guided mapping in 1,027 self-identified Black or African American participants from All of Us identified 228 ancestry-enriched/depleted regions and 1,616 loci with putative recent positive selection signals.
- Why it matters: Conventional association scans face a heavy multiple-testing burden, and structural variation is still underexplored; selection signatures can prioritize variants but may be confounded by demographic history.
- What they did: The study used long-read genomes plus demography-calibrated inferences to call local ancestry enrichment/depletion and selection signals, then tested phenome-wide associations using admixture- and selection-based strategies.
- The result: Long-read resolution mapped 15 structural variants to candidate loci (10 within 1,000 base pairs of putative cis-regulatory enhancers), and phenome-wide testing yielded 13 and 446 nominal associations, with 17 replicated after meta-analysis.
The findingWhy it mattersWhat they didThe result
AI summary of the abstract · may contain errors · not medical advice · read the paper.
- Open access