Cited by 109Pleistocene-Era Hominins and ArchaeologyForensic and Genetic ResearchGenetic Associations and Epidemiology

The DOI matches its Crossref record; 211 of the 213 references it cites were found in a registry or an index; 5 of the 137 sources its claims cite were checked for support.

A catalog of single nucleotide changes distinguishing modern humans from archaic hominins

Open access
Kuhlwilm, Martin, Boeckx, Cedric·2019·Scientific Reports

Published version of a preprint

Abstract

Throughout the past decade, studying ancient genomes has provided unique insights into human prehistory, and differences between modern humans and other branches like Neanderthals can enrich our understanding of the molecular basis of unique modern human traits. Modern human variation and the interactions between different hominin lineages are now well studied, making it reasonable to go beyond fixed genetic changes and explore changes that are observed at high frequency in present-day humans. Here, we identify 571 genes with non-synonymous changes at high frequency. We suggest that molecular mechanisms in cell division and networks affecting cellular features of neurons were prominently modified by these changes. Complex phenotypes in brain growth trajectory and cognitive traits are likely influenced by these networks and other non-coding changes presented here. We propose that at least some of these changes contributed to uniquely human traits, and should be prioritized for experimental validation.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This paper catalogs single nucleotide changes that distinguish modern humans from archaic hominins, extending beyond fixed differences to high-frequency variants. It reports 647 protein-altering changes in 571 genes at ≥90% frequency in present-day humans, plus 42 fixed amino acid changes in 36 genes, and highlights cell-division, neuronal, craniofacial, and life-history candidates.

Key findings

  • The authors identify 12,027 fixed human-specific single nucleotide changes, fewer than the previously reported 31,389, but find 29,358 positions with allele frequencies >0.995, indicating similar near-fixation.
  • They report 42 fixed amino acid changes in 36 genes and 647 protein-altering changes in 571 genes at high frequency (≥90%) in present-day humans; Neanderthals carry 159 fixed amino acid changes in the text.
  • Among archaic-lineage high-frequency missense changes, 1,542 genes carry at least one such change, with an overlap of 122 genes between human and archaic high-frequency missense sets, more than expected from random gene sets.
  • Enrichment analyses find 12 GO categories enriched on the human lineage, 17 GWAS traits enriched for genes with human high-frequency missense changes and 11 for archaic ones, and significant protein-protein interaction enrichment among HHMC gene products (P = 0.006).

Methods

  • The study used publicly available high-coverage genotypes from three archaic individuals: one Denisovan, one Altai Neanderthal, and one Vindija Neanderthal, plus exome and chromosome 21 data from Vindija and El Sidrón Neanderthals, mapped to hg19 and covering ~1.8 billion base pairs.
  • Variants were annotated with Ensembl VEP and scored with SIFT, PolyPhen, CADD, GWAVA, and Grantham; allele frequencies came from dbSNP build 147, the 1000 Genomes Project, and ExAC, with ancestral alleles inferred from multiple genome alignments or macaque.
  • Fixed differences required all present-day humans to carry the derived allele and at least two of three archaics to carry the ancestral allele; high-frequency differences required >90% derived in present-day humans and at least the Denisovan and one Neanderthal to carry the ancestral allele.

Limitations

  • The paper states that its data are “not fully exhaustive,” that some loci are variable or less reliable due to low coverage in archaics, and that some previously described protein-altering substitutions were absent because of different genotype-calling and filtering procedures.
  • The authors state that permissive filters may yield incorrect genotypes in some cases, that networks modified by multiple changes cannot be tested with current technologies, and that experimental validation is ultimately needed.
  • Evident from the text: only three archaic individuals are analyzed, archaic variation is not represented equally, the high-frequency cutoff is “somewhat arbitrary,” and enrichment/network results may be biased by gene length or mutation density.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1038/s41598-019-44877-x

Cites

211 of 211 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Figures

Figure 1 Conceptual summary of this study.
Figure 1 Conceptual summary of this study.CC BY · PubMed Central
Figure 2 Features discussed in this study. From inside to outside: Genes with HHMCs and signatures of positive selection (compare Table 2), genes with fixed non-synonymous SNCs on the human lineage, HHMCs, AHMCs, karyogram of human chromosomes.
Figure 2 Features discussed in this study. From inside to outside: Genes with HHMCs and signatures of positive selection (compare Table 2), genes with fixed non-synonymous SNCs on the human lineage, HHMCs, AHMCs, karyogram of human chromosomes.CC BY · PubMed Central

Verification

Claims the paper makes

76 Not checked yet · 48 Own result · 34 Own interpretation · 6 Own method · 6 No basis given · 1 Supported so far · 1 Partly supported · accuracy not yet measured

Verify all 132 references — free account

Show all 81 claims

  • It may state two separate claims as one. 64
  • The quote only partly states this claim. 1
  • Probably not a substantial claim. 39
91 of 91
  • The authors state this as an assumption.

    The mutation rate is slow.

    “assuming a slow mutation rate”
1 of 1

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

1 of 1

Citations

Cites

Items 201–211 of 211

Research works printed but not linked: 1

  1. Gokhman, D. et al. Extensive Regulatory Changes in Genes Affecting Vocal and Facial Anatomy Separate Modern from Archaic Humans. bioRxiv (2017).

Cited by

Sorted by citations

See all 109

Metadata

Authors
Kuhlwilm, M., & Boeckx, C.
Affiliations
  • Universitat Pompeu Fabra (ES)
  • Institució Catalana de Recerca i Estudis Avançats (ES)
Corresponding author
Boeckx, Cedric
Venue
Scientific Reports
Published
2019-06-11
Volume
9
Issue
1
Pages
8463-8463
ISSN
2045-2322 (ISSN-L)
OpenAlex
W2952005553
Cited by
108
References
213
Citations by year
2026: 6 · 2025: 16 · 2024: 25 · 2023: 17 · 2022: 13 · 2021: 14 · 2020: 8 · 2019: 8
FWCI
49.25
Type
journal article
Language
en
Open access
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by)
  • Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion, cc-by)
Funders
  • European Commission (PIRG-GA-2009-256,413, 256413)
  • Deutsche Forschungsgemeinschaft (KU 3467/1-1)
  • Ministry of Education, Culture, Sports, Science and Technology (JP17H06379)
  • Generalitat de Catalunya (2017- SGR-341, 2017-SGR)
  • Ministerio de Economía y Competitividad (2017-SGR-341, FFI2016-78034-C2-1-P)
  • Fundació Bosch i Gimpera (JP17H06379)
  • Japan Society for the Promotion of Science (JP17H06379)
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 Associations and Epidemiology
Keywords
single nucleotide polymorphisms, modern human evolution, archaic humans, Neanderthals, non-synonymous variants, brain growth trajectories, cognitive characteristics, ancient genomes
MeSH terms
Animals, Humans, Neurons, Nucleotides, Phenotype, Phylogeny, Selection, Genetic, Hominidae, Genome, Human

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.

A language model drew the claims from the paper on 2026-10-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

Cited sources are checked with a language model’s help (gpt-6-sol).

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