Home
 /
Papers
 /
Evolutionary Biology
 /
Genome-wide genealogies reveal deep admixtures forming modern humans
Preprint
Open access
V1
Top 1% · Validated by QED

Genome-wide genealogies reveal deep admixtures forming modern humans

Hrushikesh Loya, Anjali Gupta Hinch, Pier Francesco Palamara +2 more
April 2026
 ·
bioRxiv
 ·
DOI 
10.64898/2026.04.17.719197
94
%
Reproducible
QED Impressions
This paper passed independent validation.
QED's automated review checked the evidence supporting each claim, the statistical methods, and whether the results are reproducible from the data provided.

It ranks in the top 1% of preprints assessed in Evolutionary Biology this quarter.
Run full QED analysis
Read paper
Save

Why this is interesting

GhostBuster transforms recovery of ancient admixture signals, revealing that two deeply diverged lineages—with distinct recombination landscapes—shaped both Neanderthals and modern Africans, overturning assumptions about human prehistory at timescales previously beyond genomic resolution.

QED claims analysis

Summary

Genome-wide genealogical analysis reveals that modern human populations were shaped by at least three distinct temporal layers of admixture: recent back-to-Africa migrations (3,000-14,000 years ago) from multiple Eurasian sources, a deep African admixture event (~50,000 years ago) involving an out-of-Africa-related lineage that expanded both within and outside Africa, and ancient hominin admixtures (>300,000 years ago) involving two deeply diverged lineages (separated >1 million years ago) that evolved distinct PRDM9-mediated recombination landscapes and contributed differentially to modern humans, Neanderthals, and Denisovans.

See full analysis
Main Claim 1 –

GhostBuster infers admixture sources, timing, and local ancestry

Main Claim 2 –

Three back-to-Africa waves spread Eurasian ancestry across sub-Saharan Africa

Main Claim 3 –

OOA lineage expanded within Africa and formed non-Africans ~50kya

Supporting evidence

  • African ancestral components differ in PRDM9 hotspots, Ne, and PGS portability
Main Claim 4 –

Humans and Neanderthals derive from two >1MY-diverged lineages

Supporting evidence

  • Deep lineages evolved distinct PRDM9-A/C recombination hotspot landscapes

Abstract

Over the past decade, genomic modelling has revealed a rich tapestry of admixtures shaping present-day human populations. These have largely focused on the past few thousand years, when ancestral populations are either well characterised by present-day genomic diversity or directly observed through ancient DNA. Genomic modelling and fossil evidence have so far only provided a fragmented picture of the coexistence and mixing of human groups in the deeper past. Here, we propose a new method, GhostBuster, that leverages inferred genome-wide genealogies to detect admixture events of unsampled ghost populations, while simultaneously inferring accurate local ancestry. Local ancestry enables us to identify ancestry-specific genomic signatures that independently corroborate the events. We identify at least three waves of “back-to-Africa” migrations starting ∼14,000 years ago. Applying GhostBuster to deeper timescales reveals that modern humans were shaped by repeated episodes of mixture. Around 50,000 years ago, we identify a human lineage that expanded to form present-day non-Africans, while also expanding within Africa, mixing with the other local African group in varying proportions. These ancient groups help explain polygenic score portability differences within Africa, and exhibit differences in population size and recombination landscapes. Extending our analysis further back to between 300,000 and 1 million years ago reveals two deeply diverged ancestral lineages. These lineages evolved profoundly different recombination landscapes, with different PRDM9 alleles (PRDM9-A and C) and recombination hotspots. We demonstrate that both Neanderthals and ancestral modern humans are formed through a mixture of these two lineages, with no evidence of gene flow from the PRDM9-A-carrying group into Denisovans.

Related papers

How the QED Score works

QED Score is a validated AI-based quality metric that evaluates life science papers on two dimensions: originality and validity. Each manuscript is anonymized, broken down into its claims and supporting evidence, and examined by specialized AI agents for statistical rigor, consistency across figures, and fit with the existing literature. Scores are percentile ranks, so they're comparable across fields. In blinded tests, expert professors sided with QED Score over journal rank in 75% of decisive cases.
Read the methodology

Free access for academic researchers

Create your free QED account to validate your research, strengthen grant proposals, and uncover scientific insights.
We've sent you an access link.
Please check your inbox.

Didn't get your email? Check your spam folder or reach out to info@qedscience.com

Oops! Something went wrong while submitting the form.
Looking for QED for pharma, biotech or life science organizations?