Cited by 33Pleistocene-Era Hominins and ArchaeologyGenetic Associations and EpidemiologyForensic and Genetic Research

The Population-Specific Impact of Neandertal Introgression on Human Disease

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Dannemann, Michael·2021·Genome Biology and Evolution

Abstract

Since the discovery of admixture between modern humans and Neandertals, multiple studies investigated the effect of Neandertal-derived DNA on human disease and nondisease phenotypes. These studies have linked Neandertal ancestry to skin- and hair-related phenotypes, immunity, neurological, and behavioral traits. However, these inferences have so far been limited to cohorts with participants of European ancestry. Here, I analyze summary statistics from 40 disease GWAS (genome-wide association study) cohorts of ∼212,000 individuals provided by the Biobank Japan Project for phenotypic effects of Neandertal DNA. I show that Neandertal DNA is associated with autoimmune diseases, prostate cancer and type 2 diabetes. Many of these disease associations are linked to population-specific Neandertal DNA, highlighting the importance of studying a wider range of ancestries to characterize the phenotypic legacy of Neandertals in people today.

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  • This previous investigation tested whether loci identified from multiple sources were Neanderthal introgressed using the ILS method.

    “Considering loci identified from multiple sources, this previous investigation tested whether they were Neanderthal introgressed using the ILS method.”

    From Denisovan and Neanderthal archaic introgression differentially impacted the genetics of complex traits in modern populations (2022) · cites this paper as [24]

    The Materials and Methods section describes an ILS-based test for identifying putatively introgressed Neandertal haplotypes. However, it says this study used previously generated haplotype information from the 1,000 Genomes Project; it does not say that the author applied the ILS test to loci identified from multiple sources in this investigation. Page numbers were not available in our copy. (LLM, conf=0.82)

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  • In this previous analysis, Neanderthal-introgressed alleles were defined as those present in modern non-African populations that are shared with the Vindija Neandertal genome using a linkage disequilibrium-based test for incomplete lineage sorting (ILS).

    “In this previous analysis, Neanderthal-introgressed alleles were defined as those present in modern non-African populations that are shared with the Vindija Neandertal genome using a linkage disequilibrium-based test for incomplete lineage sorting (ILS).”

    From Denisovan and Neanderthal archaic introgression differentially impacted the genetics of complex traits in modern populations (2022) · cites this paper as [24]

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  • Signatures of archaic introgression have been reported in genes associated with hair and skin pigmentation, immunity, neoplasms and metabolic traits, and male sterility.

    “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].”
  • This previous study used a different method to assign Neanderthal-introgressed alleles than the one applied in our study.

    “This study used a different method to assign Neanderthal-introgressed alleles than the one applied in our study.”
  • Neanderthal-introgressed haplotypes were previously associated with prostate cancer.

    “Although this is a novel finding, Neanderthal-introgressed haplotypes were previously associated with prostate cancer [24].”

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Research works printed but not linked: 49

  1. 1000 Genomes Project Consortium. 2012 An integrated map of genetic variation from 1,092 human genomes. Nature 491: 56– 65. 23128226 PMC3498066
  2. Barkett M, Gilmore TD. 1999 Control of apoptosis by Rel/NF-kappaB transcription factors. Oncogene 18(49): 6910– 6924. 10602466
  3. Berg JJ, et al 2019 Reduced signal for polygenic adaptation of height in UK Biobank. Elife 8: e39725. 30895923 PMC6428572
  4. Boyle EA, Li YI, Pritchard JK. 2017 An expanded view of complex traits: from polygenic to omnigenic. Cell 169(7): 1177– 1186. 28622505 PMC5536862
  5. Bycroft C, et al 2018 The UK Biobank resource with deep phenotyping and genomic data. Nature 562(7726): 203– 209. 30305743 PMC6786975
  6. Castaneda JM, et al 2017 TCTE1 is a conserved component of the dynein regulatory complex and is required for motility and metabolism in mouse spermatozoa. Proc Natl Acad Sci U S A. 114(27): E5370– E5378. 28630322 PMC5502601
  7. Dannemann M, et al 2020 Human stem cell resources are an inroad to Neandertal DNA functions. Stem Cell Rep. 15(1): 214– 225. PMC7363959 32559457
  8. Dannemann M, Racimo F. 2018 Something old, something borrowed: admixture and adaptation in human evolution. Curr Opin Genet Dev. 53: 1– 8. 29894925
  9. Deschamps M, et al 2016 Genomic signatures of selective pressures and introgression from archaic hominins at human innate immunity genes. Am J Hum Genet. 98(1): 5– 21. 26748513 PMC4716683
  10. Eeles RA, et al 2009 Identification of seven new prostate cancer susceptibility loci through a genome-wide association study. Nat Genet. 41(10): 1116– 1121. 19767753 PMC2846760
  11. Enard D, Petrov DA. 2018 Evidence that RNA viruses drove adaptive introgression between Neanderthals and modern humans. Cell 175(2): 360– 371.e13. 30290142 PMC6176737
  12. Gittelman RM, et al 2016 Archaic hominin admixture facilitated adaptation to out-of-Africa environments. Curr Biol. 26(24): 3375– 3382. 27839976 PMC6764441
  13. Gudmundsson J, et al 2010 Genetic correction of PSA values using sequence variants associated with PSA levels. Sci Transl Med. 2(62): 62ra92. PMC3564581 21160077
  14. Haworth S, et al 2019 Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis. Nat Commun. 10(1): 333. 30659178 PMC6338768
  15. Huerta-Sánchez E, et al 2014 Altitude adaptation in Tibetans caused by introgression of Denisovan-like DNA. Nature 512: 194– 197. 25043035 PMC4134395
  16. International HapMap 3 Consortium, et al 2010 Integrating common and rare genetic variation in diverse human populations. Nature 467: 52– 58. 20811451 PMC3173859
  17. Johnson JL, Abecasis GR. 2017 GAS power calculator: web-based power calculator for genetic association studies. Cold Spring Harb Lab. 10.1101/164343. · DOI
  18. Juric I, Aeschbacher S, Coop G. 2016 The strength of selection against Neanderthal introgression. PLoS Genet. 12(11): e1006340. 27824859 PMC5100956
  19. Khrameeva EE, et al 2014 Neanderthal ancestry drives evolution of lipid catabolism in contemporary Europeans. Nat Commun. 5: 3584. 24690587 PMC3988804
  20. Kong A, et al 2002 A high-resolution recombination map of the human genome. Nat Genet. 31(3): 241– 247. 12053178
  21. Liu X, Li YI, Pritchard JK. 2019 Trans effects on gene expression can drive omnigenic inheritance. Cell 177(4): 1022– 1034.e6. 31051098 PMC6553491
  22. Ma RCW, Chan JCN. 2013 Type 2 diabetes in East Asians: similarities and differences with populations in Europe and the United States. Ann N Y Acad Sci. 1281(1): 64– 91. 23551121 PMC3708105
  23. McLaren W, et al 2016 The Ensembl variant effect predictor. Genome Biol. 17(1): 122. 27268795 PMC4893825
  24. Millard LAC, Davies NM, Gaunt TR, Davey Smith G, Tilling K. 2018 Software application profile: PHESANT: a tool for performing automated phenome scans in UK Biobank. Int J Epidemiol. 47(1): 29– 35. 29040602 PMC5837456
  25. Mills MC, Rahal C. 2019 A scientometric review of genome-wide association studies. Commun Biol. 2(1): 9. 30623105 PMC6323052
  26. Myouzen K, et al 2012 Functional variants in NFKBIE and RTKN2 involved in activation of the NF-κB pathway are associated with rheumatoid arthritis in Japanese. PLoS Genet. 8(9): e1002949. 23028356 PMC3441678
  27. Nagai A, et al 2017 Overview of the BioBank Japan Project: study design and profile. J Epidemiol. 27(3): S2– S8. 28189464 PMC5350590
  28. Petr M, Pääbo S, Kelso J, Vernot B. 2019 Limits of long-term selection against Neandertal introgression. Proc Natl Acad Sci U S A. 116(5): 1639– 1644. 30647110 PMC6358679
  29. Prüfer K, et al 2014 The complete genome sequence of a Neanderthal from the Altai Mountains. Nature 505(7481): 43– 49. 24352235 PMC4031459
  30. Prüfer K, et al 2017 A high-coverage Neandertal genome from Vindija Cave in Croatia. Science 358(6363): 655– 658. 28982794 PMC6185897
  31. Purcell S, et al 2007 PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 81(3): 559– 575. 17701901 PMC1950838
  32. Qin P, Stoneking M. 2015 Denisovan ancestry in east Eurasian and native American populations. Mol Biol Evol. 32(10): 2665– 2674. 26104010
  33. Quach H, et al 2016 Genetic adaptation and Neandertal admixture shaped the immune system of human populations. Cell 167(3): 643– 656.e17. 27768888 PMC5075285
  34. Racimo F. 2016 Testing for ancient selection using cross-population allele frequency differentiation. Genetics 202(2): 733– 750. 26596347 PMC4788246
  35. Racimo F, et al 2016 Archaic adaptive introgression in TBX15/WARS2 Mol Biol Evol. 34(3): 509– 524. PMC5430617 28007980
  36. Racimo F, Sankararaman S, Nielsen R, Huerta-Sánchez E. 2015 Evidence for archaic adaptive introgression in humans. Nat Rev Genet. 16(6): 359– 371. 25963373 PMC4478293
  37. Reich D, et al 2011 Denisova admixture and the first modern human dispersals into Southeast Asia and Oceania. Am J Hum Genet. 89(4): 516– 528. 21944045 PMC3188841
  38. Sams AJ, et al 2016 Adaptively introgressed Neandertal haplotype at the OAS locus functionally impacts innate immune responses in humans. Genome Biol. 17(1): 246. 27899133 PMC5129249
  39. Sankararaman S, Mallick S, Patterson N, Reich D. 2016 The combined landscape of Denisovan and Neanderthal ancestry in present-day humans. Curr Biol. 26(9): 1241– 1247. 27032491 PMC4864120
  40. Schaid DJ, Chen W, Larson NB. 2018 From genome-wide associations to candidate causal variants by statistical fine-mapping. Nat Rev Genet. 19(8): 491– 504. 29844615 PMC6050137
  41. SIGMA Type 2 Diabetes Consortium, et al 2014 Sequence variants in SLC16A11 are a common risk factor for type 2 diabetes in Mexico. Nature 506: 97– 101. 24390345 PMC4127086
  42. Simonti CN, et al 2016 The phenotypic legacy of admixture between modern humans and Neandertals. Science 351(6274): 737– 741. 26912863 PMC4849557
  43. Sirugo G, Williams SM, Tishkoff SA. 2019 The missing diversity in human genetic studies. Cell 177(4): 1080. 31051100
  44. Spracklen CN, et al 2020 Identification of type 2 diabetes loci in 433,540 East Asian individuals. Nature 50: 1505. PMC7292783 32499647
  45. Sudlow C, et al 2015 UK Biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 12(3): e1001779. 25826379 PMC4380465
  46. Vernot B, Akey JM. 2014 Resurrecting surviving Neandertal lineages from modern human genomes. Science 343(6174): 1017– 1021. 24476670
  47. Vernot B, et al 2016 Excavating Neandertal and Denisovan DNA from the genomes of Melanesian individuals. Science 352(6282): 235– 239. 26989198 PMC6743480
  48. Wall JD, Yoshihara Caldeira Brandt D. 2016 Archaic admixture in human history. Curr Opin Genet Dev. 41: 93– 97. 27662059
  49. Wojcik GL, et al 2019 Genetic analyses of diverse populations improves discovery for complex traits. Nature 570(7762): 514– 518. 31217584 PMC6785182

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Authors
Dannemann, M.
Affiliations
University of Tartu (EE)
Corresponding author
Dannemann, Michael
Venue
Genome Biology and Evolution
Published
2021-01
Volume
13
Issue
1
ISSN
1759-6653 (ISSN-L)
OpenAlex
W3107733243
Cited by
33
References
12
Citations by year
2026: 3 · 2025: 3 · 2024: 8 · 2023: 9 · 2022: 7 · 2021: 3
FWCI
17.94
Type
journal article
Language
en
Open access
Locations
  • Genome Biology and Evolution (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Funders
European Union (810645)
Topics
  • Social Sciences › Anthropology › Pleistocene-Era Hominins and Archaeology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
Keywords
human disease, autoimmune disease, prostate cancer, type 2 diabetes
MeSH terms
Alleles, Animals, Diabetes Mellitus, Type 2, Disease, Female, Fossils, Humans, Japan, Male, Phenotype, Genetic Variation, Genome, Human, Evolution, Molecular, Polymorphism, Single Nucleotide, White People, Genome-Wide Association Study, Neanderthals

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