The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
The genomic landscape of Neanderthal ancestry in present-day humans
Open accessAbstract
Genomic studies have shown that Neanderthals interbred with modern humans, and that non-Africans today are the products of this mixture. The antiquity of Neanderthal gene flow into modern humans means that genomic regions that derive from Neanderthals in any one human today are usually less than a hundred kilobases in size. However, Neanderthal haplotypes are also distinctive enough that several studies have been able to detect Neanderthal ancestry at specific loci. We systematically infer Neanderthal haplotypes in the genomes of 1,004 present-day humans. Regions that harbour a high frequency of Neanderthal alleles are enriched for genes affecting keratin filaments, suggesting that Neanderthal alleles may have helped modern humans to adapt to non-African environments. We identify multiple Neanderthal-derived alleles that confer risk for disease, suggesting that Neanderthal alleles continue to shape human biology. An unexpected finding is that regions with reduced Neanderthal ancestry are enriched in genes, implying selection to remove genetic material derived from Neanderthals. Genes that are more highly expressed in testes than in any other tissue are especially reduced in Neanderthal ancestry, and there is an approximately fivefold reduction of Neanderthal ancestry on the X chromosome, which is known from studies of diverse species to be especially dense in male hybrid sterility genes. These results suggest that part of the explanation for genomic regions of reduced Neanderthal ancestry is Neanderthal alleles that caused decreased fertility in males when moved to a modern human genetic background.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“We found that East Asians have the greatest number of sites containing archaic alleles, followed by South Asians, while Europeans have the fewest (fig. 2A), as has been previously established (Sankararaman et al. 2014, 2016).”
From The Impact of Modern Admixture on Archaic Human Ancestry in Human Populations (2023) · cites this paper as Sankararaman et al. 2014
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“At the genomic level these introgressed archaic alleles are mostly observed outside protein-coding sequences, distributed over non-functional and regulatory regions [8, 9].”
From Denisovan introgression has shaped the immune system of present-day Papuans (2022) · cites this paper as [8]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Previous attempts to identify archaic fragments in contemporary humans have generally relied on existing archaic genomes [14][15][16] , which partially represent the haplotypic diversity of the archaic populations.”
From The nature of Neanderthal introgression revealed by 27,566 Icelandic genomes (2020) · cites this paper as [15]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Humans in Central and East Asia are known to have elevated Neanderthal ancestry compared to other populations (22).”
From An ancestral recombination graph of human, Neanderthal, and Denisovan genomes (2021) · cites this paper as [22]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“This observation favors the hypothesis that the increased Neanderthal ancestry in these populations relative to others is due to weaker selection against alleles that may be mildly deleterious (32), made possible because of smaller historical population sizes in this part of Eurasia, rather than to additional admixture events (22).”
From An ancestral recombination graph of human, Neanderthal, and Denisovan genomes (2021) · cites this paper as [22]
Experimental — accuracy not yet measured
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“First, previous studies of regions with Neanderthal ancestry found depletion for evidence of background selection and functional annotations, such as genes and gene regulatory elements active in specific tissues18,19,27,29.”
From Quantifying the contribution of Neanderthal introgression to the heritability of complex traits (2021) · cites this paper as [19]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“This is consistent with previous hypotheses that genomic regions associated with skin traits tolerated introgression and with previous tests for genome-wide effects of Neanderthal ancestry on complex traits that found enrichment for traits related to skin and hair3,19.”
From Quantifying the contribution of Neanderthal introgression to the heritability of complex traits (2021) · cites this paper as [19]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Additionally, signatures of archaic introgression have been reported in genes associated with hair and skin pigmentation, immunity [16, 17, 19, 20, 22], neoplasms and metabolic traits [19, 23, 24], and male sterility [17, 18].”
From Denisovan and Neanderthal archaic introgression differentially impacted the genetics of complex traits in modern populations (2022) · cites this paper as [17]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Previous studies showed that Neanderthal-introgressed loci are associated with immunological, neurological, psychiatric, metabolic, cardiovascular, and dermatological outcomes in EUR populations [10, 15–17].”
From Denisovan and Neanderthal archaic introgression differentially impacted the genetics of complex traits in modern populations (2022) · cites this paper as [17]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“These regions included previously recognized targets of adaptive introgression, such as SGCB and SPATA18 [13, 14, 17].”
From A refined analysis of Neanderthal-introgressed sequences in modern humans with a complete reference genome (2025) · cites this paper as [13]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“We began with a list of 95,462 SNPs that are likely to be Neanderthal-derived from Sankararaman et al., 2014.”
From The lingering effects of Neanderthal introgression on human complex traits (2023) · cites this paper as Sankararaman et al., 2014
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“beyond general agreement that introgressed archaic DNA has mainly been deleterious and actively removed from coding sequences and conserved non-coding elements [8, 12–14]”
From Denisovan introgression has shaped the immune system of present-day Papuans (2022) · cites this paper as [8]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Several studies have associated Neandertal-introgressed genetic variants with variability in phenotypes in modern humans, such as immunity, metabolism, and adaptation to environmental conditions, like temperature and sunlight, as well as neurological and behavioral phenotypes related to depression and addiction [17–20, 51].”
From Neandertal Introgression Sheds Light on Modern Human Endocranial Globularity (2019) · cites this paper as [17]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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 [13]
The cited source says what the claim attributes to it.
In the citing paper
“On the other hand, many Neanderthal variants appear to have been deleterious in the modern human genetic background leading to a reduction in Neanderthal ancestry in conserved genomic regions (Sankararaman et al., 2014; Vernot and Akey, 2014; Harris and Nielsen, 2016; Juric et al., 2016; Petr et al., 2019).”
From The lingering effects of Neanderthal introgression on human complex traits (2023) · cites this paper as Sankararaman et al., 2014
The cited source says what the claim attributes to it.
In the citing paper
“First, Neanderthal ancestry is depleted in regions of the genome with strong background selection and evolutionary conservation18,19,27.”
From Quantifying the contribution of Neanderthal introgression to the heritability of complex traits (2021) · cites this paper as [19]
The cited source says what the claim attributes to it.
In the citing paper
“archaic introgression tends to be rarer in gene-rich regions (15)”
From Past human expansions shaped the spatial pattern of Neanderthal ancestry (2023) · cites this paper as [15]
The cited source says what the claim attributes to it.
In the citing paper
“The X chromosome is particularly devoid of archaic introgression as previously reported 15 (Fig. 1d).”
From The nature of Neanderthal introgression revealed by 27,566 Icelandic genomes (2020) · cites this paper as [15]
The cited source says what the claim attributes to it.
In the citing paper
“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 [22]
The cited source says what the claim attributes to it.
In the citing paper
“Studies estimate that non-African populations have 1–4% Neanderthal admixture, with East Asian populations exhibiting more Neanderthal introgression than West Eurasian populations (Wall et al. 2013; Sankararaman et al. 2014), perhaps due to more archaic admixture events with ancestral East Asians, but other plausible scenarios have been proposed (Coll Macià et al. 2021; Witt et al. 2022).”
From The Impact of Modern Admixture on Archaic Human Ancestry in Human Populations (2023) · cites this paper as Sankararaman et al. 2014
The cited source says what the claim attributes to it.
In the citing paper
“earlier studies found that on average, an EAS individual carries a higher percentage of Neanderthal genome DNA than a EUR individual (1.4% and 1.1%, respectively) [17].”
From Denisovan and Neanderthal archaic introgression differentially impacted the genetics of complex traits in modern populations (2022) · cites this paper as [17]
The cited source says what the claim attributes to it.
In the citing paper
“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 [13]
The cited source says what the claim attributes to it.
In the citing paper
“since prior work has shown that Neanderthal alleles tend to be distributed further away from regions of the genome under selective constraint (Sankararaman et al., 2014; Juric et al., 2016).”
From The lingering effects of Neanderthal introgression on human complex traits (2023) · cites this paper as Sankararaman et al., 2014
The cited source says what the claim attributes to it.
In the citing paper
“This model does not exclude the possibility that differences in population sizes (15) or in generation time (53) between eastern and western Asia may also have played a role in shaping NE ancestry patterns, but a modeling study focusing on these aspects would be”
From Past human expansions shaped the spatial pattern of Neanderthal ancestry (2023) · cites this paper as [15]
The cited source says what the claim attributes to it.
In the citing paper
“Introgressed fragments of Neandertal DNA can be reliably identified in modern humans and are estimated to account for 1%–2% of the genomes of non-African individuals, such that collectively ~40% of the Neandertal genome is represented in people living today [17–19].”
From Neandertal Introgression Sheds Light on Modern Human Endocranial Globularity (2019) · cites this paper as [17]
The cited source says what the claim attributes to it.
In the citing paper
“After modern humans left Africa more than 60,000 years ago, genetic evidence suggests multiple admixture events ~55,000 years [9] between modern humans and now extinct archaic humans including Neandertals [10–12] and Denisovans [13, 14].”
From Neandertal introgression partitions the genetic landscape of neuropsychiatric disorders and associated behavioral phenotypes (2022) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“previous studies have pointed out that Neandertal DNA shows a lower prevalence in regions that are associated with higher functional capacity in the human genome [12, 34].”
From Neandertal introgression partitions the genetic landscape of neuropsychiatric disorders and associated behavioral phenotypes (2022) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“Some of the remaining Neandertal variants have reached high frequencies in some present-day populations, suggesting that they might have conferred advantages at some point since admixture [12, 18, 19].”
From Neandertal introgression partitions the genetic landscape of neuropsychiatric disorders and associated behavioral phenotypes (2022) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“However, given that previous analyses have demonstrated that Neandertal DNA is showing signals of depletion around functional gene groups [12, 34], makes our current setup rather conservative as it shouldn’t result in an artificial enrichment result due to functional genome context.”
From Neandertal introgression partitions the genetic landscape of neuropsychiatric disorders and associated behavioral phenotypes (2022) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“Recent data indicated that genomic regions experiencing strong levels of background selection are depleted in Neanderthal ancestry54.”
From Distinct selective forces and Neanderthal introgression shaped genetic diversity at genes involved in neurodevelopmental disorders (2017) · cites this paper as [54]
In the citing paper
“Other examples include Neanderthal alleles that are enriched in genes affecting keratin filaments, which make up most of the outer layer of human skin and produce hair, suggesting that Neanderthal alleles may have helped modern humans to adapt to non-African cold environments [42].”
From Ancient DNA and the rewriting of human history: be sparing with Occam’s razor (2016) · cites this paper as [42]
In the citing paper
“On the other hand, archaic admixture appears to have also introduced a few beneficial alleles, such as EPAS1.”
From Ancient DNA and the rewriting of human history: be sparing with Occam’s razor (2016) · cites this paper as [42]
In the citing paper
“Indeed, strong purifying selection appears to have acted on the genome of modern humans to purge harmful archaic alleles.”
From Ancient DNA and the rewriting of human history: be sparing with Occam’s razor (2016) · cites this paper as [42]
In the citing paper
“For example, genes that are highly expressed in testes have reduced Neanderthal ancestry [42].”
From Ancient DNA and the rewriting of human history: be sparing with Occam’s razor (2016) · cites this paper as [42]
In the citing paper
“Some archaic alleles have been shown to confer an adaptive advantage for modern humans”
From Functional implications of Neandertal introgression in modern humans (2017) · cites this paper as [5]
In the citing paper
“the depletion of archaic ancestry around functional elements in the genomes of present-day people reflects widespread purifying selection against archaic variants [5–7]”
From Functional implications of Neandertal introgression in modern humans (2017) · cites this paper as [5]
In the citing paper
“a number of instances of adaptive introgression have been described, generally affecting systems that influence immune and metabolic phenotypes [1, 5, 10, 22, 40, 41].”
From Functional implications of Neandertal introgression in modern humans (2017) · cites this paper as [5]
In the citing paper
“Recent studies have shown that Neandertal alleles are depleted in more constrained, functional regions of the genome and that, on average, selection has acted to remove introgressed Neandertal alleles from the modern human population [5, 7, 39].”
From Functional implications of Neandertal introgression in modern humans (2017) · cites this paper as [5]
In the citing paper
“This is particularly the case near protein coding genes, and is consistent with negative selection on Neandertal DNA in modern humans [5, 6, 7, 39].”
From Functional implications of Neandertal introgression in modern humans (2017) · cites this paper as [5]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Differential expression analysis for sequence count data
Anders, S., & Huber, W. (2010) · Genome Biology · doi:10.1186/gb-2010-11-10-r106 · Cited by 15,581
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
Lafferty, J., McCallum, A., & Pereira, F. C. N. (2001) · ScholarlyCommons (University of Pennsylvania) · Cited by 12,935
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711
Self-citationDerrien, T., Johnson, R., Bussotti, G., Andrea Tanzer, A., Djebali, S., Tilgner, H., Guernec, G., Martin, D., Merkel, A., Knowles, D. G., et al. (2012) · Genome Research · doi:10.1101/gr.132159.111 · Cited by 5,135
A draft sequence of the Neandertal genome
Green, R. E., Krause, J., Briggs, A. W., Maricic, T., Stenzel, U., Kircher, M., Patterson, N., Li, H., Zhai, W., Fritz, M. H.-Y., et al. (2010) · Science · doi:10.1126/science.1188021 · Cited by 4,318
Self-citationHindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013
Wavelet Methods for Time SeriesAnalysis
Percival, D. B., & Walden, A. T. (2000) · Cambridge University Press eBooks · doi:10.1017/cbo9780511841040 · Cited by 3,210
Wavelet methods for time series analysis
Percival, D. B., & Walden, A. T. (2001) · Choice Reviews Online · doi:10.5860/choice.38-4508 · Cited by 2,570
The Jackknife and the Bootstrap for General Stationary Observations
Künsch, H. R. (1989) · The Annals of Statistics · doi:10.1214/aos/1176347265 · Cited by 2,454
Cited by
Sorted by citations
Items 601–700 of 997
The Biological History ofHomo sapiensin Island Southeast Asia
Bellwood, P. S., Groves, C., Argue, D., Matsumura, H., Oxenham, M. F., Simanjuntak, T., Yamagata, M., Cox, M. P., Piper, P. J., Blust, R. A., et al. (2017) · Wiley eBooks · doi:10.1002/9781119251583.ch4 · Cited by 6
De wolf terug in Nederland : Een factfinding study
Jansman, H. A. H., Mergeay, J., van der Grift, E. A., de Groot, G. A., Lammertsma, D. R., Berge, K. V. D., Ottburg, F. G. W. A., Gouwy, J., Schuiling, R., der Veken, T. V., et al. (2021) · doi:10.18174/553564 · Cited by 7
Yardeni, G., Barfuss, M. H. J., Till, W., Thornton, M. R., Crego, C. G., Lexer, C., Leroy, T., & Paun, O. (2025) · Systematic Biology · doi:10.1093/sysbio/syaf039 · Cited by 6
Hybridization breaks species barriers in long-term coevolution of a cyanobacterial population
Bîrzu, G., Muralidharan, H. S., Goudeau, D., Malmstrom, R. R., Fisher, D. S., & Bhaya, D. (2025) · eLife · doi:10.7554/elife.90849.3 · Cited by 5
Sandroni, V., & Chaumette, B. (2025) · Genes Brain & Behavior · doi:10.1111/gbb.70013 · Cited by 5
On the origin of an insular hybrid butterfly lineage
Boman, J., Nolen, Z. J., & Backström, N. (2025) · Evolution · doi:10.1093/evolut/qpaf017 · Cited by 5
Ren, Y., Yu, S., Sun, H., & Ma, X. (2025) · Molecular Ecology · doi:10.1111/mec.17747 · Cited by 5
Disentangling archaic introgression and genomic signatures of selection at human immunity genes
Urnikytė, A., Masiulyte, A., Pranckėnienė, L., & Kučinskas, V. (2023) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2023.105528 · Cited by 5
Inferring multi-locus selection in admixed populations
Ayala, N., Genetti, M., & Corbett-Detig, R. B. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1011062 · Cited by 5
Enrichment of hard sweeps on the X chromosome compared to autosomes in six Drosophila species
Harris, M., Kim, B. Y., & Garud, N. R. (2024) · Genetics · doi:10.1093/genetics/iyae019 · Cited by 5
Race and ethnicity in biomedical publications
Steer, P. (2014) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.13170 · Cited by 5
Taphonomy of the Tianyuandong human skeleton and faunal remains
Fernández–Jalvo, Y., Andrews, P., & Tong, H. (2015) · Journal of Human Evolution · doi:10.1016/j.jhevol.2015.03.010 · Cited by 6
Adaptive Variation in Desiccation Resistance in Rhagoletis
Hill, J. (2020) · Western CEDAR (Western Washington University) · doi:10.25710/wjxb-hj77 · Cited by 5
Taxonomic variation in the supraorbital region of catarrhine primates
White, S., Soligo, C., Pope, M., & Hillson, S. W. (2019) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23975 · Cited by 5
Amos, W. (2021) · Royal Society Open Science · doi:10.1098/rsos.201229 · Cited by 5
Huber, K. T., Moulton, V., & Scholz, G. E. (2021) · Discrete Applied Mathematics · doi:10.1016/j.dam.2021.11.005 · Cited by 5
Underrepresented Populations at the Archaic Introgression Frontier
Villanea, F. A., & Witt, K. E. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.821170 · Cited by 5
Ecology and age, but not genetic ancestry, predict fetal loss in a wild baboon hybrid zone
Fogel, A. S., Oduor, P. O., Nyongesa, A. W., Kimwele, C., Alberts, S. C., Archie, E. A., & Tung, J. (2023) · American Journal of Biological Anthropology · doi:10.1002/ajpa.24686 · Cited by 5
Bosman, A. M., & Harvati, K. (2019) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23844 · Cited by 5
Hobohm, C. (2021) · Environmental challenges and solutions · doi:10.1007/978-3-030-57710-0_1 · Cited by 5
The Contribution of William King to the Early Development of Palaeoanthropology
Murray, J., Nasheuer, H., Seoighe, C., McCormack, G. P., Williams, D. M., & Harper, D. A. T. (2015) · Irish Journal of Earth Sciences · doi:10.3318/ijes.2015.33.1 · Cited by 5
Were Neanderthals Rational? A Stoic Approach
Whiting, K., Konstantakos, L., Sadler, G. B., & Gill, C. (2018) · Humanities · doi:10.3390/h7020039 · Cited by 5
Wendt, F. R., Pathak, G. A., Overstreet, C. M., Tylee, D. S., Gelernter, J. E., Atkinson, E. G., & Polimanti, R. A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.02.26.966531 · Cited by 5
Yang, H., Wu, J., Huang, X., Zhou, Y., Zhang, Y., Liu, M., Liu, Q., Ke, S., He, M., Fu, H., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.07.16.206219 · Cited by 5
Vicedomini, R., Righetti, N., Polit, L., Condémi, S., Longo, L., & Carbone, A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.30.466563 · Cited by 5
Inference of selective forces on house mouse genomes during secondary contact in East AsiaPreprint
Fujiwara, K., Kubo, S., Endo, T., Takada, T., Shiroishi, T., Suzuki, H., & Osada, N. (2024) · Genome Research · doi:10.1101/gr.278828.123 · Cited by 5
A structured coalescent model reveals deep ancestral structure shared by all modern humansPreprint
Cousins, T., Scally, A., & Durbin, R. M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.24.586479 · Cited by 5
Des nouvelles du passé Histoires de paléogénétique
Bon, C. (2024) · médecine/sciences · doi:10.1051/medsci/2024084 · Cited by 5
Bon, C. (2025) · médecine/sciences · doi:10.1051/medsci/2025042 · Cited by 5
The hybrid history of zebrafish
McCluskey, B. M., Batzel, P., & Postlethwait, J. H. (2025) · G3: Genes, Genomes, Genetics · doi:10.1093/g3journal/jkae299 · Cited by 5
Lessons for an invisible future from an invisible past: Risk and resilience in deep time
Barton, C. M., Aura-Tortosa, J. E., Puchol, O. G., Riel-Salvatore, J. G., & Ullah, I. I. T. (2024) · The Holocene · doi:10.1177/09596836241259788 · Cited by 4
Archaic adaptive introgression in modern human reproductive genes
Kendall, C., Nooranikhojasteh, A., Parra, E. J., Schillaci, M. A., & Viola, B. (2025) · Communications Biology · doi:10.1038/s42003-025-08682-9 · Cited by 6
Probability, Populations, Phylogenetics, and Hominin Speciation
Caldararo (2018) · Human Biology · doi:10.13110/humanbiology.90.2.04 · Cited by 7
Jackson, A. C., White, O. W., Carine, M. A., & Chapman, M. A. (2023) · American Journal of Botany · doi:10.1002/ajb2.16162 · Cited by 4
Santo, L. N. D., Quilodrán, C. S., & Currat, M. (2023) · Molecular Biology and Evolution · doi:10.1093/molbev/msad252 · Cited by 4
Ferraretti, G., Abondio, P., Alberti, M., Dezi, A., Sherpa, P. T., Cocco, P., Tiriticco, M., Marcello, M. D., Gnecchi‐Ruscone, G. A., Natali, L., et al. (2023) · eLife · doi:10.7554/elife.89815.3 · Cited by 7
Macià, M. C., Skov, L., Bæk, Z. E. D., & Hobolth, A. (2026) · Molecular Biology and Evolution · doi:10.1093/molbev/msag134 · Cited by 4
The Oxford Handbook of Archaeology and Language
(2025) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780192868350.001.0001 · Cited by 5
Evaluating the effects of archaic protein-altering variants in living human adults
Molz, B., Alberro, M. L., Eising, E., Schijven, D., Alagöz, G., Francks, C., & Fisher, S. E. (2025) · Science Advances · doi:10.1126/sciadv.ads5703 · Cited by 6
Insights in human epigenomic dynamics through comparative primate analysis
Bell, C. G. (2016) · Genomics · doi:10.1016/j.ygeno.2016.09.003 · Cited by 4
Gainey, D. P., Kim, J. Y., & Maroja, L. S. (2018) · PLoS ONE · doi:10.1371/journal.pone.0208498 · Cited by 4
Drake Equation Revised Fermi Paradox Resolved Tarian Criterion Related
Kass, L. (2020) · International Journal of Zoology and Animal Biology · doi:10.23880/izab-16000220 · Cited by 4
Ecker, M., Hariri, N., Heydari‐Guran, S., Ghasidian, E., Tuross, N., Zeder, M. A., & Makarewicz, C. A. (2023) · Journal of Quaternary Science · doi:10.1002/jqs.3561 · Cited by 4
Voinescu, C., Mozere, M., Genovese, G., Downie, M. L., Gupta, S., Gale, D. P., Böckenhauer, D., Kleta, R., Arcos‐Burgos, M., & Stanescu, H. C. (2024) · Kidney International · doi:10.1016/j.kint.2024.01.017 · Cited by 4
Karavanić, I., Klindžić, R. Š., Ahern, J. C. M., Čondić, N., Janković, I., Zubčić, K., & Smith, F. H. (2016) · Vertebrate paleobiology and paleoanthroplogy series/Vertebrate paleobiology and paleoanthropology series · doi:10.1007/978-94-024-0874-4_10 · Cited by 4
Searching for archaic contribution in Africa
Santander, C. G., Montinaro, F., & Capelli, C. (2019) · Annals of Human Biology · doi:10.1080/03014460.2019.1624823 · Cited by 4
Brother or Other: The Place of Neanderthals in Human Evolution
Caspari, R., Rosenberg, K. E., & Wolpoff, M. H. (2017) · Vertebrate paleobiology and paleoanthroplogy series/Vertebrate paleobiology and paleoanthropology series · doi:10.1007/978-3-319-46646-0_19 · Cited by 4
K-Conjecture- The Future of Biology
Kass, L. (2016) · International Journal of Zoology and Animal Biology · doi:10.23880/izab-16000126 · Cited by 4
Genome-wide Scan of Archaic Hominin Introgressions in Eurasians Reveals Complex Admixture HistoryPreprint
Hu, Y., Wang, Y., Ding, Q., He, Y., Wang, M., Wang, J., Xu, S., & Li, J. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1404.7766 · Cited by 4
Gene flow dynamics in Baboons - The influence of social systems
Kopp, G. H. (2015) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-5237 · Cited by 4
Recently evolved human-specific methylated regions are enriched in schizophrenia signalsPreprint
Banerjee, N., Polushina, T., Bettella, F., Giddaluru, S., Steen, V. M., Andreassen, O. A., & Hellard, S. L. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/113175 · Cited by 4
Gouy, A., & Excoffier, L. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/732958 · Cited by 4
Inferring Adaptive Introgression Using Hidden Markov ModelsPreprint
Svedberg, J., Shchur, V., Reinman, S., Nielsen, R., & Corbett-Detig, R. B. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.02.232934 · Cited by 4
Koller, D., Wendt, F., Pathak, G., Lillo, A. D., Angelis, F. D., Cabrera-Mendoza, B., Tucci, S., & Polimanti, R. (2021) · bioRxiv · doi:10.1101/2021.08.12.456138 · Cited by 4
Hybridization in human evolution: insights from other organismsPreprint
Ackermann, R., Arnold, M., Baiz, M. D., Cahill, J. A., Cortés‐Ortiz, L., Evans, B. J., Grant, B. R., Grant, P. R., Hallgrímsson, B., Humphreys, R. A., et al. (2018) · AfricArXiv (OSF Preprints) · doi:10.31730/osf.io/y3bp7 · Cited by 5
BPGA: an interactive Shiny application for basic population genetic analysis of genotype dataPreprint
Fibla, J. (2022) · doi:10.32942/x27p46 · Cited by 3
Hybridization breaks species barriers in long-term coevolution of a cyanobacterial populationPreprint
Bîrzu, G., Muralidharan, H. S., Goudeau, D., Malmstrom, R. R., Fisher, D. S., & Bhaya, D. (2023) · eLife · doi:10.7554/elife.90849 · Cited by 4
Imaging genomics reveals genetic architecture of the globular human braincasePreprint
Molz, B., Eising, E., Alagöz, G., Schijven, D., Francks, C., Gunz, P., & Fisher, S. E. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.20.585712 · Cited by 9
Amos, W., & Elhaik, E. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.31.630954 · Cited by 4
Long-term isolation and archaic introgression shape functional genetic variation in Near Oceania
Reilly, P. F., Rong, S., Tejada-Martínez, D., Miller, S. L., Tjahjadi, A., Liu, C., Akers, J. F., Pomer, A., Prentice, M. E., Merriwether, D. A., et al. (2026) · Science · doi:10.1126/science.adr6749 · Cited by 3
Recovering signatures of archaic hominin introgression using ancestral recombination graphs
Zhang, Y., Biddanda, A., Johnson, S., O’Dushlaine, C., & Moorjani, P. (2026) · Science · doi:10.1126/science.aef8874 · Cited by 11
Faster inference of complex demographic models from large allele frequency spectra
Dilber, E., Liang, J., Tan, J., & Terhorst, J. (2026) · Bioinformatics · doi:10.1093/bioinformatics/btag511 · Cited by 3
Aneli, S., Berti, C. C., Gilea, A. I., Birolo, G., Mutti, G., Pavesi, A., Baruffini, E., Goffrini, P., & Capelli, C. (2024) · Human Molecular Genetics · doi:10.1093/hmg/ddae057 · Cited by 3
An early East Asian lineage with unexpectedly low Denisovan ancestry
Yang, J., Iasi, L. N. M., Fu, Q., Cooke, N. P., Kelso, J. F., Peyrégne, S., & Peter, B. M. (2025) · Current Biology · doi:10.1016/j.cub.2025.08.051 · Cited by 3
Self-citationThe Origin of Dance: Evolutionary Significance on Ritualized Movements of Animals
Oota, S. (2015) · Springer tracts in advanced robotics · doi:10.1007/978-3-319-25739-6_15 · Cited by 3
Netea, M. G., & Joosten, L. A. B. (2016) · Immunity · doi:10.1016/j.immuni.2016.02.003 · Cited by 3
An informational transition in conditioned Markov chains: Applied to genetics and evolution
Zhao, L., Lascoux, M., & Waxman, D. (2016) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2016.04.021 · Cited by 3
Adapting to Population Growth: The Evolutionary Alternative to Malthus
Kristinsson, A., & Júlíusson, Á. D. (2016) · Cliodynamics The Journal of Quantitative History and Cultural Evolution · doi:10.21237/c7clio7130171 · Cited by 4
La paléogénétique en tant qu’approche archéométrique au cours des 30 dernières années
Geigl, E.-M. (2018) · ArchéoSciences · doi:10.4000/archeosciences.5575 · Cited by 3
Kislev, & Barkai (2018) · Human Biology · doi:10.13110/humanbiology.90.2.03 · Cited by 3
About the Origins of the Human Ability to Create Constructs of Reality
Bednarik, R. G. (2021) · Axiomathes · doi:10.1007/s10516-021-09537-8 · Cited by 5
Koganebuchi, K., & Oota, H. (2021) · Anthropological Science · doi:10.1537/ase.2011302 · Cited by 3
高, 星., 彭, 菲., 付, 巧., & 李, 锋. (2017) · SCIENTIA SINICA Terrae · doi:10.1360/n072017-00232 · Cited by 3
Profile of Svante Pääbo: 2022 Nobel laureate in Physiology or Medicine
Klein, R. G. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2217025119 · Cited by 3
Wroblewski, T. H., Witt, K. E., Lee, S., Malhi, R. S., Peede, D., Huerta‐Sánchez, E., Villanea, F. A., & Claw, K. G. (2023) · Genome Biology and Evolution · doi:10.1093/gbe/evad222 · Cited by 3
The languages of the central and southern Philippines
Kaufman, D. A. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198807353.003.0025 · Cited by 3
Kroeger, P. R., & Riesberg, S. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198807353.003.0047 · Cited by 3
Gaertner, K., Tapanainen, R., Saari, S., Fekete, Z., Goffart, S., Pohjoismäki, J., & Dufour, É. (2025) · Experimental Cell Research · doi:10.1016/j.yexcr.2025.114466 · Cited by 3
Niger-Congo archaeolinguistics, including Bantu
Bostoen, K. A. G., Coutros, P. R., & Schlebusch, C. M. (2025) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780192868350.013.30 · Cited by 4
Sino-Tibetan archaeolinguistics
Bradley, D. T. C., Li, L., Ning, C., & Martello, R. D. (2025) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780192868350.013.22 · Cited by 3
Brain Evolution: Mapping the Inner Neandertal
Sherwood, C. C., & Bradley, B. J. (2019) · Current Biology · doi:10.1016/j.cub.2018.12.024 · Cited by 3
Finding unknown species in the genomes of extant species
Li, Y., & Wu, D. (2021) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2021.05.013 · Cited by 3
A GRANDE ÁRVORE GENEALÓGICA HUMANA
dos Santos, F. R. (2016) · Revista da Universidade Federal de Minas Gerais · doi:10.35699/2316-770x.2014.2643 · Cited by 3
Differences in Brain Organization Between Neanderthals and Modern Humans
Gunz, P. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804042-3.00106-8 · Cited by 3
Molecular Evolution and Phenotypic Change
Vallender, E. J. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804042-3.00108-1 · Cited by 4
The repertoire of family A-peptide GPCRs in archaic hominins
Mata, X., Renaud, G., & Mollereau, C. (2019) · Peptides · doi:10.1016/j.peptides.2019.170154 · Cited by 3
The female ancestor's tale: Long‐term matrilineal continuity in a nonisolated region of Tuscany
Leonardi, M., Sandionigi, A., Conzato, A., Vai, S., Lari, M., Tassi, F., Ghirotto, S., Caramelli, D., & Barbujani, G. (2018) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23679 · Cited by 3
Neanderthals had outsize effect on human biology
Callaway, E. (2015) · Nature · doi:10.1038/523512a · Cited by 3
Human evolution: The Neanderthal in the family
Callaway, E. (2014) · Nature · doi:10.1038/507414a · Cited by 3
Reticulate speciation and adaptive introgression in the Anopheles gambiae species complexPreprint
Crawford, J. E., Riehle, M. M., Guelbeogo, M. W., Gnémé, A., Sagnon, N., Vernick, K. D., Nielsen, R., & Lazzaro, B. P. (2014) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/009837 · Cited by 3
Sharing of Very Short IBD Segments between Humans, Neandertals, and DenisovansPreprint
Povysil, G., & Hochreiter, S. (2014) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/003988 · Cited by 3
Ancestral admixture is the main determinant of global biodiversity in fission yeastPreprint
Tusso, S., Nieuwenhuis, B. P. S., Sedlazeck, F. J., Davey, J. W., Jeffares, D. C., & Wolf, J. B. W. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/415091 · Cited by 3
Dumas, G., Malesys, S., & Bourgeron, T. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/658658 · Cited by 3
Genetic load may increase or decrease with selfing depending upon the recombination environmentPreprint
Sianta, S. A., Peischl, S., Moeller, D. A., & Brandvain, Y. J. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.20.445016 · Cited by 3
Integrating sex-bias into studies of archaic admixture on chromosome XPreprint
Chevy, E. T., Huerta‐Sánchez, E., & Ramachandran, S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.30.505789 · Cited by 3
Environmental and genetic drivers of population differences in SARS-CoV-2 immune responsesPreprint
Aquino, Y., Bisiaux, A., Li, Z., O’Neill, M. B., Mendoza‐Revilla, J., Merkling, S. H., Kerner, G., Hasan, M., Libri, V., Bondet, V., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.22.517073 · Cited by 3
House, N., Miró-Herrans, A. T., Allen, J. M., Ashfaq, M., Boyd, B. M., Braig, H. R., Mediannikov, O., Mumcuoğlu, K. Y., Perotti, M. A., Rozzi, F. V. R., et al. (2023) · doi:10.22541/au.168061521.18272910/v1 · Cited by 3
Smith, A. D. (2024) · Oxford University Press eBooks · doi:10.1093/oso/9780198807353.003.0002 · Cited by 3
Inference of Locus-Specific Population Mixtures from Linked Genome-Wide Allele Frequencies
Reyna-Blanco, C. S., Caduff, M., Galimberti, M., Leuenberger, C., & Wegmann, D. (2024) · Molecular Biology and Evolution · doi:10.1093/molbev/msae137 · Cited by 2
Amadei, A., Lin, G., & Fattorini, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-22376-6 · Cited by 2
Metadata
- Authors
- Sankararaman, S., Mallick, S., Dannemann, M., Prüfer, K., Kelso, J., Pääbo, S., Patterson, N., & Reich, D.
- Affiliations
- Broad Institute (US)
- Max Planck Institute for Evolutionary Anthropology (DE)
- Corresponding author
- Sankararaman, Sriram
- Reich, David
- ORCID
- Venue
- Nature
- Published
- 2014-01-29
- Volume
- 507
- Issue
- 7492
- Pages
- 354-357
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4072735
- OpenAlex
- W2009494639
- Cited by
- 1,107
- References
- 41
- Citations by year
- 2026: 49 · 2025: 93 · 2024: 131 · 2023: 69 · 2022: 58 · 2021: 110 · 2020: 81 · 2019: 80 · 2018: 98 · 2017: 96 · 2016: 108 · 2015: 66 · 2014: 65
- FWCI
- 535.37
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- eScholarship (California Digital Library) (submittedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Human Genome Research Institute (R01HG006399)
- National Institute of General Medical Sciences (GM100233, R01GM100233)
- 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
- Neanderthal ancestry, Neanderthal admixture, keratin genes, disease risk alleles, X chromosome, testis-expressed genes, male fertility, human evolution, modern human genomes, Neanderthal introgression
- MeSH terms
- Alleles, Animals, Female, Haplotypes, Humans, Hybridization, Genetic, Infertility, Male, Keratins, Male, Organ Specificity, Phylogeny, Selection, Genetic, Testis, X Chromosome, Genome, Human, Genetic Predisposition to Disease, Genomics, Gene Flow, Neanderthals
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