Identifying and Interpreting Apparent Neanderthal Ancestry in African Individuals
Open accessAbstract
Admixture has played a prominent role in shaping patterns of human genomic variation, including gene flow with now-extinct hominins like Neanderthals and Denisovans. Here, we describe a novel probabilistic method called IBDmix to identify introgressed hominin sequences, which, unlike existing approaches, does not use a modern reference population. We applied IBDmix to 2,504 individuals from geographically diverse populations to identify and analyze Neanderthal sequences segregating in modern humans. Strikingly, we find that African individuals carry a stronger signal of Neanderthal ancestry than previously thought. We show that this can be explained by genuine Neanderthal ancestry due to migrations back to Africa, predominately from ancestral Europeans, and gene flow into Neanderthals from an early dispersing group of humans out of Africa. Our results refine our understanding of Neanderthal ancestry in African and non-African populations and demonstrate that remnants of Neanderthal genomes survive in every modern human population studied to date.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Most studies of archaic introgression have relied on the GRCh37 human reference genome.
“However, most studies of archaic introgression have relied on the GRCh37 human reference genome [8, 10, 11, 13, 14, 20].”
From A refined analysis of Neanderthal-introgressed sequences in modern humans with a complete reference genome (2025) · cites this paper as [10]
In METHOD DETAILS > Whole Genome Sequence Data (page unavailable), the paper describes mapping reads to hg19 and using an hg19-based filter, supporting reliance on that reference in its own analysis. It does not state that most archaic-introgression studies relied on GRCh37, so the broader claim is unsupported by this source. (LLM, conf=0.78)
Experimental — accuracy not yet measuredNeanderthal ancestry is relatively uniform among modern Eurasian populations but is approximately 8 to 24% higher in East Asia than in Europe.
“While NE ancestry is relatively uniform among modern Eurasian populations (1, 2), it is approximately 8 to 24% higher in East Asia than in Europe (5, 10, 12, 13).”
From Past human expansions shaped the spatial pattern of Neanderthal ancestry (2023) · cites this paper as [13]
The Results section reports 8% higher Neanderthal ancestry in East Asians than Europeans, and the Discussion describes non-African populations as more uniform than previously estimated. The paper does not give a 24% estimate; it says earlier estimates above 20% were biased by unaccounted-for back-migration. No page number is available in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThis second range expansion is essential for explaining the pattern currently observed of lower Neanderthal ancestry in western Europe than in East Asia.
“This second range expansion is essential for explaining the pattern currently observed of lower NE ancestry in western Europe than in East Asia (5, 10, 12, 13).”
From Past human expansions shaped the spatial pattern of Neanderthal ancestry (2023) · cites this paper as [13]
The Results section reports approximately 8% more Neanderthal sequence in East Asians than in Europeans, supporting the observed difference. The Discussion attributes much of the previously reported larger difference to biased estimates and does not say a second range expansion is essential to explain the remaining difference; it favors a single wave of Neanderthal admixture and suggests later dilution as a possibility. The paper compares Europeans generally, not western Europeans specifically. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe presence of Denisovan-like haplotypes in Africa could result from back-to-Africa migrations.
“The presence of such Denisovan-like haplotypes in Africa could result from back-to-Africa migrations [44] and, as shown by our S prime analysis when using Mbuti as unadmixed group, it might have easily prevented the detection of the SLC30A9 gene in previous maps of archaic introgression in modern humans.”
From Human genetic adaptation related to cellular zinc homeostasis (2023) · cites this paper as [44]
The Results section on back-migration reports Denisovan sequence in African individuals, but tests back-to-Africa migration as an explanation for Neanderthal ancestry, not Denisovan-like haplotypes. The cited paper therefore supports the presence of Denisovan-like sequence in Africa, but not the proposed explanation for its presence (page unavailable in our copy). (LLM, conf=0.85)
Experimental — accuracy not yet measuredSome archaic alleles and haplotypes are adaptive and persist at high frequencies in human populations.
“For instance, substantial evidence suggests that some archaic alleles and haplotypes are adaptive and persist at high frequencies in human populations [10, 13–19].”
From A refined analysis of Neanderthal-introgressed sequences in modern humans with a complete reference genome (2025) · cites this paper as [10]
A recent study that used an outgroup-free method to detect Neanderthal ancestry blocks in human genomes also found a higher average amount of Neanderthal ancestry in African genomes than has been previously reported.
“We note that a recent study that used an outgroup-free method to detect Neanderthal ancestry blocks in human genomes also found a higher average amount of Neanderthal ancestry in African genomes than has been previously reported (20).”
From An ancestral recombination graph of human, Neanderthal, and Denisovan genomes (2021) · cites this paper as [20]
We reject the explanation that excess Neanderthal ancestry in Central and East Asians could be mostly due to underestimating Neanderthal ancestry in West Eurasians as a result of using sub-Saharan Africans, who share some Neanderthal ancestry with West Eurasians, as a model unadmixed outgroup, because removing Neanderthal haplotypes from West Eurasians would likely increase the number of globally?
“We reject this explanation because removing Neanderthal haplotypes from West Eurasians would likely increase the number of geographically restricted Neanderthal haplotypes in Asians, contrary to our observation.”
From An ancestral recombination graph of human, Neanderthal, and Denisovan genomes (2021) · cites this paper as [20]
The Neanderthal ancestry in some African genomes is due to back-migration.
“due to back-migration, consistent with other recent reports (20).”
From An ancestral recombination graph of human, Neanderthal, and Denisovan genomes (2021) · cites this paper as [20]
Compared to previously reported GRCh37 callsets, more Neanderthal sequences per individual were identified in both GRCh38 and T2T-CHM13, with this enrichment being consistent across populations.
“Compared to previously reported GRCh37 callsets [10], we identified more Neanderthal sequences per individual in both GRCh38 and T2T-CHM13, with this enrichment being consistent across populations (Fig. 2C).”
From A refined analysis of Neanderthal-introgressed sequences in modern humans with a complete reference genome (2025) · cites this paper as [10]
Discordant homozygotes ("2-0" genotype pattern variants) serve as strong evidence against introgression in IBDmix.
“Discordant homozygotes (i.e., variants where the genotype of the archaic individual is homozygous alternative and the modern human genotypes are homozygous reference, referred to as “2–0” genotype pattern variants in “Results”) serve as strong evidence against introgression in IBDmix [10].”
From A refined analysis of Neanderthal-introgressed sequences in modern humans with a complete reference genome (2025) · cites this paper as [10]
The whole-genome data processing procedures of this study closely align with those of the previous study, with some differences in certain details.
“Our procedures closely align with those outlined in the previous study [10], and also with some differences in certain details”
From A refined analysis of Neanderthal-introgressed sequences in modern humans with a complete reference genome (2025) · cites this paper as [10]
Other more complex scenarios including a first introgression event from ancestors of modern humans into archaic humans followed by a second archaic introgression event into non-Africans and back to Africa migrations cannot be discarded.
“Similarly, we cannot discard other more complex scenarios including a first introgression event from the ancestors of modern humans into archaic humans followed by a second archaic introgression event into non-Africans and back to Africa migrations, as similarly suggested to explain the finding of Neanderthal introgression sequences in the 1000 GP African populations or the presence of a putative”
From Human genetic adaptation related to cellular zinc homeostasis (2023) · cites this paper as [44]
Maps produced by SARGE are about as concordant with published maps as the published maps are with each other.
“We found that maps produced by SARGE are about as concordant with the published maps as the published maps are with each other (fig. S25).”
From An ancestral recombination graph of human, Neanderthal, and Denisovan genomes (2021) · cites this paper as [20]
The Quantification and Statistical Analyses section compares Neanderthal-introgression callsets from IBDmix, CRF, diCal-admix, and S*, but does not address SARGE maps. Searches for SARGE, map concordance, and figure S25 found no passage comparing SARGE’s maps with published maps or comparing the published maps with one another. (LLM, conf=0.77)
Experimental — accuracy not yet measuredThere is substantial overlap among the three reference genomes, with ~94% of the Neanderthal sequences identified in T2T-CHM13 being shared with those previously reported in GRCh37.
“Despite these unique discoveries, we observed substantial overlap among the three reference genomes, with ~ 94% of the Neanderthal sequences identified in T2T-CHM13 being shared with those previously reported in GRCh37 (Fig. 2d) [10].”
From A refined analysis of Neanderthal-introgressed sequences in modern humans with a complete reference genome (2025) · cites this paper as [10]
The Results section (page unavailable) reports that more than 94% of Neanderthal sequence identified in African samples was shared with non-Africans—not that sequences identified using T2T-CHM13 were shared with GRCh37. Our copy does not report the claimed comparison among three reference genomes. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 61 · Cited by 254
- Authors
- Chen, L., Wolf, A. B., Fu, W., Li, L., & Akey, J. M.
- Affiliations
- Princeton University (US)
- Microsoft (United States) (US)
- Corresponding author
- Akey, Joshua M.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 180
- Issue
- 4
- Pages
- 677-687.e16
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC12805117
- OpenAlex
- W3004208933
- Cited by
- 254
- References
- 61
- Citations by year
- 2026: 42 · 2025: 30 · 2024: 26 · 2023: 31 · 2022: 38 · 2021: 42 · 2020: 42 · 2019: 1 · 2017: 1 · 2013: 1
- FWCI
- 144.46
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion)
- Funders
- National Institutes of Health (R01 GM110068)
- Topics
- Social Sciences › Anthropology › Pleistocene-Era Hominins and Archaeology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Keywords
- Neanderthal ancestry, introgression, African populations, out-of-Africa migration, Denisovans
- MeSH terms
- Animals, Humans, Models, Genetic, Pedigree, Polymorphism, Genetic, Evolution, Molecular, Black People, Gene Flow, Neanderthals, Human Migration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review