Recovering signatures of archaic hominin introgression using ancestral recombination graphs

Bibliographic Collection: 
APE
Publication Type: Journal Article
Authors: Zhang, Yulin; Biddanda, Arjun; Johnson, Sarah A.; O’Dushlaine, Colm; Moorjani, Priya
Year of Publication: 2026
Journal: Science
Date Published: 2026/07/30
Publication Language: eng
ISBN Number: 0036-80751095-9203
Abstract:

Admixture between modern humans and extinct hominins has shaped the genomes of present-day individuals, but reconstructing this history has been constrained by the scarcity of archaic samples and unadmixed outgroup populations. We introduce TRACE, a reference- and outgroup-free approach that uses features of ancestral recombination graphs to identify archaic ancestry. Simulations show TRACE has high precision and low false discovery rates. Applied to 1000 Genomes, TRACE recovers known Neanderthal and Denisovan introgression and uncovers ghost admixture from uncharacterized hominins in both Africans and non-Africans. Ghost ancestry persists in Neanderthal and Denisovan ancestry deserts, challenging their interpretation as Homo sapiens–specific regions. In Oceanians, TRACE finds deep lineages are enriched in Denisovan compared to Neanderthal regions, supporting super-archaic introgression. TRACE enables mapping archaic introgression without archaic genomes.

DOI: http://dx.doi.org/10.1126/science.aef8874