Archaic adaptive introgression in TBX15/WARS2
Open accessPublished version of a preprint
Abstract
A recent study conducted the first genome-wide scan for selection in Inuit from Greenland using single nucleotide polymorphism chip data. Here, we report that selection in the region with the second most extreme signal of positive selection in Greenlandic Inuit favored a deeply divergent haplotype that is closely related to the sequence in the Denisovan genome, and was likely introgressed from an archaic population. The region contains two genes, WARS2 and TBX15, and has previously been associated with adipose tissue differentiation and body-fat distribution in humans. We show that the adaptively introgressed allele has been under selection in a much larger geographic region than just Greenland. Furthermore, it is associated with changes in expression of WARS2 and TBX15 in multiple tissues including the adrenal gland and subcutaneous adipose tissue, and with regional DNA methylation changes in TBX15.
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?
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].”
From A refined analysis of Neanderthal-introgressed sequences in modern humans with a complete reference genome (2025) · cites this paper as [18]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Integrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368 · see citing works
ANGSD: Analysis of Next Generation Sequencing Data
Korneliussen, T. S., Albrechtsen, A., & Nielsen, R. (2014) · BMC Bioinformatics · doi:10.1186/s12859-014-0356-4 · Cited by 2,982 · see citing works
Self-citationA high-coverage genome sequence from an archaic denisovan individual
Meyer, M., Kircher, M., Gansauge, M.-T., Li, H., Racimo, F., Mallick, S., Schraiber, J. G., Jay, F., Prüfer, K., de Filippo, C., et al. (2012) · Science · doi:10.1126/science.1224344 · Cited by 1,967 · see citing works
Self-citationMassive migration from the steppe was a source for Indo-European languages in Europe
Haak, W., Lazaridis, I., Patterson, N., Rohland, N., Mallick, S., Llamas, B., Brandt, G., Nordenfelt, S., Harney, E., Stewardson, K., et al. (2015) · Nature · doi:10.1038/nature14317 · Cited by 1,940 · see citing works
Gutenkunst, R. N., Hernandez, R. D., Williamson, S. H., & Bustamante, C. D. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000695 · Cited by 1,906 · see citing works
Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Yang, J., DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Ferreira, T., Morris, A. P., Medland, S. E., Madden, P. A. F., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2012) · Nature Genetics · doi:10.1038/ng.2213 · Cited by 1,712 · see citing works
Sequencing of 50 Human Exomes Reveals Adaptation to High Altitude
Yi, X., Liang, Y., Huerta-Sanchez, E., Jin, X., Cuo, Z. X. P., Pool, J. E., Xu, X., Jiang, H., Vinckenbosch, N., Korneliussen, T. S., et al. (2010) · Science · doi:10.1126/science.1190371 · Cited by 1,611 · cited 10× · see citing works
“ThealleleswithhighPBSvaluesandhighfrequencyinGIare almostabsentinAfrica,butpresentacrossEurasia.”
MethodInfluentialSelf-citationThe Simons Genome Diversity Project: 300 genomes from 142 diverse populations
Mallick, S., Li, H., Lipson, M., Mathieson, I., Gymrek, M., Racimo, F., Zhao, M., Chennagiri, N., Nordenfelt, S., Tandon, A., et al. (2016) · Nature · doi:10.1038/nature18964 · Cited by 1,584 · see citing works
Self-citationNew genetic loci link adipose and insulin biology to body fat distribution
The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature · doi:10.1038/nature14132 · Cited by 1,580 · see citing works
Population genomics of Bronze Age Eurasia
Allentoft, M. E., Sikora, M., Sjögren, K.-G., Rasmussen, S., Rasmussen, M., Stenderup, J., Damgaard, P. B., Schroeder, H., Ahlström, T., Vinner, L., et al. (2015) · Nature · doi:10.1038/nature14507 · Cited by 1,550 · see citing works
Self-citationAncient human genomes suggest three ancestral populations for present-day Europeans
Lazaridis, I., Patterson, N., Mittnik, A., Renaud, G., Mallick, S., Kirsanow, K., Sudmant, P. H., Schraiber, J. G., Castellano, S., Lipson, M., et al. (2014) · Nature · doi:10.1038/nature13673 · Cited by 1,357 · see citing works
The genomic landscape of Neanderthal ancestry in present-day humans
Sankararaman, S., Mallick, S., Dannemann, M., Prüfer, K., Kelso, J., Pääbo, S., Patterson, N., & Reich, D. (2014) · Nature · doi:10.1038/nature12961 · Cited by 1,107 · see citing works
Upper Palaeolithic Siberian genome reveals dual ancestry of Native Americans
Raghavan, M., Skoglund, P., Graf, K. E., Metspalu, M., Albrechtsen, A., Moltke, I., Rasmussen, S., Stafford Jr, T. W., Orlando, L., Metspalu, E., et al. (2014) · Nature · doi:10.1038/nature12736 · Cited by 963 · see citing works
Self-citationAn oncogenic super-enhancer formed through somatic mutation of a noncoding intergenic element
Mansour, M. R., Abraham, B. J., Anders, L., Berezovskaya, A., Gutierrez, A., Durbin, A. D., Etchin, J., Lawton, L., Sallan, S. E., Silverman, L. B., et al. (2014) · Science · doi:10.1126/science.1259037 · Cited by 801 · see citing works
Genomic structure in Europeans dating back at least 36,200 years
Seguin-Orlando, A., Korneliussen, T. S., Sikora, M., Malaspinas, A.-S., Manica, A., Moltke, I., Albrechtsen, A., Ko, A., Margaryan, A., Moiseyev, V., et al. (2014) · Science · doi:10.1126/science.aaa0114 · Cited by 315 · see citing works
Self-citationDannemann, M., Andrés, A. M., & Kelso, J. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.11.015 · Cited by 249 · see citing works
A genome-wide association study identifies multiple loci for variation in human ear morphology
Adhikari, K., Reales, G., Smith, A. J. P., Konka, E., Palmen, J., Quinto-Sanchez, M., Acuña-Alonzo, V., Jaramillo, C., Arias, W., Fuentes, M., et al. (2015) · Nature Communications · doi:10.1038/ncomms8500 · Cited by 95 · see citing works
Flagged first, then by citations
Research works printed but not linked: 46
- Abi-Rached L Jobin MJ Kulkarni S McWhinnie A Dalva K Gragert L Babrzadeh F Gharizadeh B Luo M Plummer FA, 2011 The shaping of modern human immune systems by multiregional admixture with archaic humans. Science 334: 89– 94. 21868630 PMC3677943
- Auton A Brooks LD Durbin RM Garrison EP Kang HM Korbel JO Marchini JL McCarthy S McVean GA Abecasis GR, 2015 A global reference for human genetic variation. Nature 526: 68– 74. 26432245 PMC4750478
- Candille SI Van Raamsdonk CD Chen C Kuijper S Chen-Tsai Y Russ A Meijlink F Barsh GS. 2004 Dorsoventral patterning of the mouse coat by Tbx15. PLoS Biol 2: E3. 14737183 PMC314463
- Chandra S Baribault C Lacey M Ehrlich M. 2014 Myogenic differential methylation: diverse associations with chromatin structure. Biology (Basel) 3: 426– 451. 24949935 PMC4085616
- GTEx-Consortium. 2015 Human genomics. The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans. Science 348: 648– 660. 25954001 PMC4547484
- Curry GA. 1959 Genetical and developmental studies on droopy-eared mice. Development 7: 39– 65. 13654621
- Danecek P Auton A Abecasis G Albers CA Banks E DePristo MA Handsaker RE Lunter G Marth GT Sherry ST, 2011 The variant call format and VCFtools. Bioinformatics 27: 2156– 2158. 21653522 PMC3137218
- Derrien T Estellé J Marco Sola S Knowles DG Raineri E Guigó R Ribeca P. 2012 Fast computation and applications of genome mappability. PLoS ONE 7: e30377. 22276185 PMC3261895
- Diederichs S Bartsch L Berkmann JC Fröse K Heitmann J Hoppe C Iggena D Jazmati D Karschnia P Linsenmeier M, 2016 The dark matter of the cancer genome: aberrations in regulatory elements, untranslated regions, splice sites, non-coding RNA and synonymous mutations. EMBO Mol Med 8: 442– 457. 26992833 PMC5126213
- Durand EY Patterson N Reich D Slatkin M. 2011 Testing for ancient admixture between closely related populations. Mol Biol Evol 28: 2239– 2252. 21325092 PMC3144383
- Ewing G Hermisson J. 2010 MSMS: a coalescent simulation program including recombination, demographic structure and selection at a single locus. Bioinformatics 26: 2064– 2065. 20591904 PMC2916717
- Fu Q Li H Moorjani P Jay F Slepchenko SM Bondarev AA Johnson PL Aximu-Petri A Prüfer K de Filippo C, 2014 Genome sequence of a 45,000-year-old modern human from western Siberia. Nature 514: 445– 449. 25341783 PMC4753769
- Fumagalli M Moltke I Grarup N Racimo F Bjerregaard P Jørgensen ME Korneliussen TS Gerbault P Skotte L Linneberg A, 2015 Greenlandic Inuit show genetic signatures of diet and climate adaptation. Science 349: 1343– 1347. 26383953
- Fumagalli M Vieira FG Linderoth T Nielsen R. 2014 ngsTools: methods for population genetics analyses from next-generation sequencing data. Bioinformatics 30: 1486– 1487. 24458950 PMC4016704
- Fundel K Haag J Gebhard PM Zimmer R Aigner T. 2008 Normalization strategies for mRNA expression data in cartilage research. Osteoarthr Cartil 16: 947– 955. 18258458
- Gamba C Jones ER Teasdale MD McLaughlin RL Gonzalez-Fortes G Mattiangeli V Domboróczki L Kővári I Pap I Anders A, 2014 Genome flux and stasis in a five millennium transect of European prehistory. Nat Commun 5: 5257. 25334030 PMC4218962
- Gburcik V Cawthorn WP Nedergaard J Timmons JA Cannon B. 2012 An essential role for Tbx15 in the differentiation of brown and “brite” but not white adipocytes. Am J Physiol Endocrinol Metab 303: E1053– E1060. 22912368
- Gokhman D Lavi E Prüfer K Fraga MF Riancho JA Kelso J Pääbo S Meshorer E Carmel L. 2014 Reconstructing the DNA methylation maps of the Neanderthal and the Denisovan. Science 344: 523– 527. 24786081
- Green RE Krause J Briggs AW Maricic T Stenzel U Kircher M Patterson N Li H Zhai W Fritz MH, 2010 A draft sequence of the Neanderthal genome. Science 328: 710– 722. 20448178 PMC5100745
- Heid IM Jackson AU Randall JC Winkler TW Qi L Steinthorsdottir V Thorleifsson G Zillikens MC Speliotes EK Mägi R, 2010 Meta-analysis identifies 13 new loci associated with waist–hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution. Nat Genet 42: 949– 960. 20935629 PMC3000924
- Huerta-Sanchez E Casey FP. 2015 Archaic inheritance: supporting high altitude life in Tibet. J Appl Physiol 119: 1129– 1134. 26294746
- Huerta-Sánchez E Jin X Asan Bianba Z Peter BM Vinckenbosch N Liang Y Yi X He M Somel M, 2014 Altitude adaptation in Tibetans caused by introgression of Denisovan-like DNA. Nature 512: 194– 197. 25043035 PMC4134395
- Kron K Liu L Trudel D Pethe V Trachtenberg J Fleshner N Bapat B van der Kwast T. 2012 Correlation of ERG expression and DNA methylation biomarkers with adverse clinicopathologic features of prostate cancer. Clin Cancer Res 18: 2896– 2904. 22452941
- Lausch E Hermanns P Farin HF Alanay Y Unger S Nikkel S Steinwender C Scherer G Spranger J Zabel B, 2008 TBX15 mutations cause craniofacial dysmorphism, hypoplasia of scapula and pelvis, and short stature in Cousin syndrome. Am J Hum Genet 83: 649– 655. 19068278 PMC2668032
- Liu CT Buchkovich ML Winkler TW Heid IM Borecki IB Fox CS Mohlke KL North KE Adrienne Cupples L, Consortium AAAG, 2014 Multi-ethnic fine-mapping of 14 central adiposity loci. Hum Mol Genet 23: 4738– 4744. 24760767 PMC4119415
- Liu CT Monda KL Taylor KC Lange L Demerath EW Palmas W Wojczynski MK Ellis JC Vitolins MZ Liu S, 2013 Genome-wide association of body fat distribution in African ancestry populations suggests new loci. PLoS Genet 9: e1003681. 23966867 PMC3744443
- Locke AE Kahali B Berndt SI Justice AE Pers TH Day FR Powell C Vedantam S Buchkovich ML Yang J, 2015 Genetic studies of body mass index yield new insights for obesity biology. Nature 518: 197– 206. 25673413 PMC4382211
- Marcus JH Novembre J. 2016 Visualizing the Geography of Genetic Variants. Bioinformatics. Advance Access published October 14, 2016, https://doi.org/10.1093/bioinformatics/btw643. PMC5408806 27742697 · DOI
- Martin SH Davey JW Jiggins CD. 2014 Evaluating the use of ABBA–BABA statistics to locate introgressed loci. Mol Biol Evol. 32(1): 244– 257. 25246699 PMC4271521
- Pallares LF Carbonetto P Gopalakrishnan S Parker CC Ackert-Bicknell CL Palmer AA Tautz D. 2015 Mapping of craniofacial traits in outbred mice identifies major developmental genes involved in shape determination. PLoS Genet 11: e1005607. 26523602 PMC4629907
- Paradis E. 2010 pegas: an R package for population genetics with an integrated-modular approach. Bioinformatics 26: 419– 420. 20080509
- Paten B Herrero J Beal K Fitzgerald S Birney E. 2008 Enredo and Pecan: genome-wide mammalian consistency-based multiple alignment with paralogs. Genome Res 18: 1814– 1828. 18849524 PMC2577869
- Prüfer K Racimo F Patterson N Jay F Sankararaman S Sawyer S Heinze A Renaud G Sudmant PH de Filippo C, 2014 The complete genome sequence of a Neanderthal from the Altai Mountains. Nature 505: 43– 49. 24352235 PMC4031459
- Racimo F Sankararaman S Nielsen R Huerta-Sánchez E. 2015 Evidence for archaic adaptive introgression in humans. Nat Rev Genet 16: 359– 371. 25963373 PMC4478293
- Racimo F Marnetto D Huerta-Sánchez E. 2016 Signatures of archaic adaptive introgression in present-day human populations. Mol Biol Evol. Advance Access published October 18, 2016. doi:10.1093/molbev/msw216. PMC5400396 27756828 · DOI · Paper page
- Raghavan M Steinrücken M Harris K Schiffels S Rasmussen S DeGiorgio M Albrechtsen A Valdiosera C Ávila-Arcos MC Malaspinas AS, 2015 Genomic evidence for the Pleistocene and recent population history of Native Americans. Science 349: aab3884. 26198033 PMC4733658
- Sankararaman S Mallick S Patterson N Reich D. 2016 The combined landscape of Denisovan and Neanderthal ancestry in present-day humans. Curr Biol 26: 1241– 1247. 27032491 PMC4864120
- Singh MK Petry M Haenig B Lescher B Leitges M Kispert A. 2005 The T-box transcription factor Tbx15 is required for skeletal development. Mech Dev 122: 131– 144. 15652702
- Skotte L Korneliussen TS Albrechtsen A. 2013 Estimating individual admixture proportions from next generation sequencing data. Genetics 195: 693– 702. 24026093 PMC3813857
- Steegmann AT Cerny FJ Holliday TW. 2002 Neanderthal cold adaptation: physiological and energetic factors. Am J Hum Biol 14: 566– 583. 12203812
- Templeton AR Crandall KA Sing CF. 1992 A cladistic analysis of phenotypic associations with haplotypes inferred from restriction endonuclease mapping and DNA sequence data. III. Cladogram estimation. Genetics 132: 619– 633. 1385266 PMC1205162
- Vernot B Akey JM. 2014 Resurrecting surviving Neanderthal lineages from modern human genomes. Science 343: 1017– 1021. 24476670
- Wagner JR Busche S Ge B Kwan T Pastinen T Blanchette M. 2014 The relationship between DNA methylation, genetic and expression inter-individual variation in untransformed human fibroblasts. Genome Biol 15: R37. 24555846 PMC4053980
- Wood AR Esko T Yang J Vedantam S Pers TH Gustafsson S Chu AY Estrada K Luan J Kutalik Z, 2014 Defining the role of common variation in the genomic and biological architecture of adult human height. Nat Genet 46: 1173– 1186. 25282103 PMC4250049
- Xue B Coulter A Rim JS Koza RA Kozak LP. 2005 Transcriptional synergy and the regulation of Ucp1 during brown adipocyte induction in white fat depots. Mol Cell Biol 25: 8311– 8322. 16135818 PMC1234324
- Yang J Lee SH Goddard ME Visscher PM. 2011 GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet 88: 76– 82. 21167468 PMC3014363
Cited by
Sorted by citations
The inflated significance of neutral genetic diversity in conservation genetics
Teixeira, J. C., & Huber, C. D. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2015096118 · Cited by 474 · see citing works
Multiple Deeply Divergent Denisovan Ancestries in Papuans
Jacobs, G. S., Hudjashov, G., Saag, L., Kusuma, P., Darusallam, C. C., Lawson, D. J., Mondal, M., Pagani, L., Ricaut, F.-X., Stoneking, M., et al. (2019) · Cell · doi:10.1016/j.cell.2019.02.035 · Cited by 346 · see citing works
Identifying and Interpreting Apparent Neanderthal Ancestry in African Individuals
Chen, L., Wolf, A. B., Fu, W., Li, L., & Akey, J. M. (2020) · Cell · doi:10.1016/j.cell.2020.01.012 · Cited by 254 · see citing works
Detecting archaic introgression using an unadmixed outgroup
Skov, L., Hui, R., Shchur, V., Hobolth, A., Scally, A., Schierup, M. H., & Durbin, R. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007641 · Cited by 125 · see citing works
Detecting adaptive introgression in human evolution using convolutional neural networks
Gower, G., Picazo, P. I., Fumagalli, M., & Racimo, F. (2021) · eLife · doi:10.7554/elife.64669 · Cited by 95 · see citing works
Self-citationFunctional implications of Neandertal introgression in modern humans
Dannemann, M., Prüfer, K., & Kelso, J. (2017) · Genome biology · doi:10.1186/s13059-017-1181-7 · Cited by 92 · see citing works
Something old, something borrowed: admixture and adaptation in human evolution
Dannemann, M., & Racimo, F. (2018) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2018.05.009 · Cited by 87 · see citing works
Self-citationQuantifying the contribution of Neanderthal introgression to the heritability of complex traits
McArthur, E., Rinker, D. C., & Capra, J. A. (2021) · Nature Communications · doi:10.1038/s41467-021-24582-y · Cited by 71 · see citing works
Silvert, M., Quintana-Murci, L., & Rotival, M. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.04.016 · Cited by 58 · see citing works
Teixeira, J. C., Jacobs, G. S., Stringer, C., Tuke, J., Hudjashov, G., Purnomo, G. A., Sudoyo, H., Cox, M. P., Tobler, R., Turney, C. S. M., et al. (2021) · Nature Ecology & Evolution · doi:10.1038/s41559-021-01408-0 · Cited by 51 · see citing works
Zhang, X., Kim, B., Singh, A., Sankararaman, S., Durvasula, A., & Lohmueller, K. E. (2023) · Molecular Biology and Evolution · doi:10.1093/molbev/msad001 · Cited by 29 · see citing works
Evolutionary and medical consequences of archaic introgression into modern human genomes
Dolgova, O., & Lao, O. (2018) · Genes · doi:10.3390/genes9070358 · Cited by 34 · see citing works
The Impact of Modern Admixture on Archaic Human Ancestry in Human Populations
Witt, K. E., Funk, A., Añorve-Garibay, V., Fang, L. L., & Huerta-Sánchez, E. (2023) · Genome Biology and Evolution · doi:10.1093/gbe/evad066 · Cited by 29 · see citing works
Self-citationSellayah, D. (2019) · Journal of the Endocrine Society · doi:10.1210/js.2018-00363 · Cited by 21 · see citing works
Archaic Introgression Shaped Human Circadian Traits
Velazquez-Arcelay, K., Colbran, L. L., McArthur, E., Brand, C. M., Rinker, D. C., Siemann, J. K., McMahon, D. G., & Capra, J. A. (2023) · Genome Biology and Evolution · doi:10.1093/gbe/evad203 · Cited by 18 · see citing works
“…levels at higher altitude in Tibetans, immune resistance to new pathogens, levels of skin pigmentation, and fat composition (Huerta-Sánchez et al. 2014; Racimo et al. 2015; Racimo, Gokhman, et al. 2017; Dannemann and Kelso 2017; Racimo, Marnetto, and Huerta-Sánchez 2017; McArthur et al. 2021).”
BackgroundMethodChintalapati, M., Dannemann, M., & Prüfer, K. (2017) · BMC Evolutionary Biology · doi:10.1186/s12862-017-1018-8 · Cited by 13 · see citing works
Liang, S.-A., Ren, T., Zhang, J., He, J., Wang, X., Jiang, X., He, Y., McCoy, R. C., Fu, Q., Akey, J. M., et al. (2025) · Genome Biology · doi:10.1186/s13059-025-03502-z · Cited by 8 · see citing works
- Authors
- Racimo, F., Gokhman, D., Fumagalli, M., Ko, A., Hansen, T., Moltke, I., Albrechtsen, A., Carmel, L., Huerta-Sánchez, E., & Nielsen, R.
- Affiliations
- University of California, Berkeley (US)
- Hebrew University of Jerusalem (IL)
- University College London (GB)
- University of Copenhagen (DK)
- Corresponding author
- Racimo, Fernando
- Nielsen, Rasmus
- ORCID
- Venue
- Molecular Biology and Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-12-21
- Volume
- 34
- Issue
- 3
- Pages
- msw283
- ISSN
- 0737-4038 (ISSN-L)
- 1537-1719
- PMC
- PMC5430617
- OpenAlex
- W2951292100
- Cited by
- 101
- References
- 17
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 9 · 2023: 11 · 2022: 6 · 2021: 14 · 2020: 10 · 2019: 12 · 2018: 18 · 2017: 15 · 2016: 1
- FWCI
- 12.39
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Molecular Biology and Evolution (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by-nc)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion, cc-by-nc-nd)
- Spiral (Imperial College London) (submittedVersion, cc-by-nc)
- Funders
- National Science Foundation (1557151)
- Lundbeckfonden (R215‐2015‐4174)
- Israel Science Foundation (ISF 1430/13)
- National Institutes of Health
- University of California Merced
- National Human Genome Research Institute (R01HG003229)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
- Social Sciences › Anthropology › Pleistocene-Era Hominins and Archaeology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- archaic introgression, positive selection, TBX15, Inuit, Denisovans, haplotype divergence, body fat distribution, adipose tissue, adrenal gland, DNA methylation, gene expression
- MeSH terms
- DNA, Ancient, Adaptation, Biological, Adipose Tissue, Alleles, Animals, Inuit, Greenland, Haplotypes, Humans, Models, Genetic, Selection, Genetic, Sequence Analysis, DNA, DNA Methylation, Polymorphism, Single Nucleotide, T-Box Domain Proteins, 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