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Continuous ancestry profiles from genomes and genealogies
bioRxiv · · Preprint · Open access
Morin, Moreau + 1 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Predicted continuous ancestry profiles from genomes and deep genealogies place 78% of documented ancestry in the correct region, far exceeding categorical labels in a validation set of 28,332 individuals.
- Why it matters: Single regional labels oversimplify ancestry, which is multidimensional and often reflects contributions from multiple ancestral sources. The study tests whether continuous profiles better capture this complexity than categorical assignments.
- What they did: Relatedness among 28,332 genotyped individuals was computed via haplotype painting and ordination, then regressed on regional ancestry proportions from deep genealogies for one-third of the cohort. A validation set was used to compare predicted profiles with training-set averages and categorical labeling.
- The result: Predicted profiles correctly localized 78% of documented ancestry in the correct region (vs 48% for the training-set average), while single-label assignment achieved 32% and even perfect “largest-region” classification reached 38%. This supports representing ancestry as a continuum rather than a label.
The findingWhy it mattersWhat they didThe result
AI summary of the abstract · may contain errors · not medical advice · read the paper.
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