Cited by 254Pleistocene-Era Hominins and ArchaeologyForensic and Genetic ResearchGenetic diversity and population structure

Identifying and Interpreting Apparent Neanderthal Ancestry in African Individuals

Open access
Chen, Lu, Wolf, Aaron B., Fu, Wenqing, Li, Liming, Akey, Joshua M.·2020·Cell

Abstract

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.cell.2020.01.012

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.

A few free checks a day · papers already verified open instantly · results are public

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 measured
  • Neanderthal 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 measured
  • This 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 measured
  • The 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 measured
  • Some 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].”

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)
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
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