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Impacts of Neanderthal-Introgressed Sequences on the Landscape of Human Gene Expression
Open accessAbstract
Regulatory variation influencing gene expression is a key contributor to phenotypic diversity, both within and between species. Unfortunately, RNA degrades too rapidly to be recovered from fossil remains, limiting functional genomic insights about our extinct hominin relatives. Many Neanderthal sequences survive in modern humans due to ancient hybridization, providing an opportunity to assess their contributions to transcriptional variation and to test hypotheses about regulatory evolution. We developed a flexible Bayesian statistical approach to quantify allele-specific expression (ASE) in complex RNA-seq datasets. We identified widespread expression differences between Neanderthal and modern human alleles, indicating pervasive cis-regulatory impacts of introgression. Brain regions and testes exhibited significant downregulation of Neanderthal alleles relative to other tissues, consistent with natural selection influencing the tissue-specific regulatory landscape. Our study demonstrates that Neanderthal-inherited sequences are not silent remnants of ancient interbreeding but have measurable impacts on gene expression that contribute to variation in modern human phenotypes.
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“Second, Neanderthal ancestry is depleted in regions of the genome with annotated molecular functions (e.g., genes and gene regulatory elements), and this depletion is strongest in annotated brain and testis regulatory regions27–29.”
From Quantifying the contribution of Neanderthal introgression to the heritability of complex traits (2021) · cites this paper as [28]
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“The depletion in cognitive traits suggests that the previously observed strong depletion for Neanderthal alleles in regulatory regions active in the brain may be due to effects on brain-related complex traits5,28,29.”
From Quantifying the contribution of Neanderthal introgression to the heritability of complex traits (2021) · cites this paper as [28]
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“Indeed, studies conducted primarily on Neanderthal introgressed DNA have suggested a non-negligible contribution to gene expression variation in modern humans [10, 11, 22], with repeated examples of Neanderthal archaic variants falling within regulatory elements or the seed region of mature micro-RNAs predicted to affect transcriptional and post-transcriptional regulatory processes [11, 62].”
From Denisovan introgression has shaped the immune system of present-day Papuans (2022) · cites this paper as [10]
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“Enhancers, in particular, are amongst the top targeted elements of archaic hominin introgression [10, 11].”
From Denisovan introgression has shaped the immune system of present-day Papuans (2022) · cites this paper as [10]
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Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194
Kim, D., Pertea, G., Trapnell, C., Pimentel, H., Kelley, R., & Salzberg, S. L. (2013) · Genome Biology · doi:10.1186/gb-2013-14-4-r36 · Cited by 12,668
Fitting Linear Mixed-Effects Models Using lme4Preprint
Bates, D. M., Maechler, M., Bolker, B. M., & Walker, S. (2014) · arXiv (Cornell University) · doi:10.3929/ethz-b-000105397 · Cited by 9,435
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
Biological insights from 108 schizophrenia-associated genetic loci
Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) · Nature · doi:10.1038/nature13595 · Cited by 7,577
Kumar, P., Henikoff, S., & Ng, P. C. (2009) · Nature Protocols · doi:10.1038/nprot.2009.86 · Cited by 6,521
A general framework for estimating the relative pathogenicity of human genetic variants
Kircher, M., Witten, D. M., Jain, P., O'Roak, B. J., Cooper, G. M., & Shendure, J. (2014) · Nature Genetics · doi:10.1038/ng.2892 · Cited by 6,183
Rue, H., Martino, S., & Chopin, N. (2009) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2008.00700.x · Cited by 5,279
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science · doi:10.1126/science.1262110 · Cited by 5,062
GENCODE: The reference human genome annotation for The ENCODE Project
Harrow, J., Frankish, A., Gonzalez, J. M., Tapanari, E., Diekhans, M., Kokocinski, F., Aken, B. L., Barrell, D., Zadissa, A., Searle, S., et al. (2012) · Genome Research · doi:10.1101/gr.135350.111 · Cited by 4,585
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
An anatomically comprehensive atlas of the adult human brain transcriptome
Hawrylycz, M. J., Lein, E. S., Guillozet-Bongaarts, A. L., Shen, E. H., Ng, L., Miller, J. A., van de Lagemaat, L. N., Smith, K. A., Ebbert, A., Riley, Z. L., et al. (2012) · Nature · doi:10.1038/nature11405 · Cited by 3,083
King, M.-C., & Wilson, A. C. (1975) · Science · doi:10.1126/science.1090005 · Cited by 2,815
The NHGRI GWAS Catalog, a curated resource of SNP-trait associations
Welter, D., MacArthur, J., Morales, J., Burdett, T., Hall, P., Junkins, H., Klemm, A., Flicek, P., Manolio, T., Hindorff, L., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1229 · Cited by 2,707
WatanabeSumio (2010) · arXiv (Cornell University) · doi:10.48550/arxiv.1004.2316 · Cited by 2,264
The complete genome sequence of a Neanderthal from the Altai Mountains
Prüfer, K., Racimo, F., Patterson, N., Jay, F., Sankararaman, S., Sawyer, S., Heinze, A., Renaud, G., Sudmant, P. H., de Filippo, C., et al. (2014) · Nature · doi:10.1038/nature12886 · Cited by 2,254
The positive false discovery rate: a Bayesian interpretation and the q-value
Storey, J. D. (2003) · The Annals of Statistics · doi:10.1214/aos/1074290335 · Cited by 2,204
Understanding predictive information criteria for Bayesian models
Gelman, A., Hwang, J., & Vehtari, A. (2014) · Statistics and Computing · doi:10.1007/s11222-013-9416-2 · Cited by 2,104
The Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics · doi:10.1038/ng.3097 · Cited by 1,853
Sekhon, J. S. (2011) · Journal of Statistical Software · doi:10.18637/jss.v042.i07 · Cited by 1,521
SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap
Johnson, A. D., Handsaker, R. E., Pulit, S. L., Nizzari, M. M., O’Donnell, C. J., & de Bakker, P. I. W. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn564 · Cited by 1,339
The evolution of gene expression levels in mammalian organs
Brawand, D., Soumillon, M., Necsulea, A., Julien, P., Csárdi, G., Harrigan, P., Weier, M., Liechti, A., Aximu-Petri, A., Kircher, M., et al. (2011) · Nature · doi:10.1038/nature10532 · Cited by 1,248
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
Han, J., Zheng, H., Cui, Y., Sun, L., Ye, D., Hu, Z. Q., Xu, J., Cai, Z., Huang, W., Zhao, G., et al. (2009) · Nature Genetics · doi:10.1038/ng.472 · Cited by 938
Recurrent somatic alterations of FGFR1 and NTRK2 in pilocytic astrocytoma
Jones, D., Hutter, B., Jäger, N., Korshunov, A., Kool, M., Warnatz, H.-J., Zichner, T., Lambert, S. R., Ryzhova, M. V., Khuong-Quang, D.-A., et al. (2013) · Nature Genetics · doi:10.1038/ng.2682 · Cited by 837
Genetic Optimization Using Derivatives: ThergenoudPackage forR
Mebane, W. R., & Sekhon, J. S. (2011) · Journal of Statistical Software · doi:10.18637/jss.v042.i11 · Cited by 639
Allelic Variation in Human Gene Expression
Yan, H., Yuan, W., Velculescu, V. E., Vogelstein, B., & Kinzler, K. W. (2002) · Science · doi:10.1126/science.1072545 · Cited by 625
A de novo mutation affecting human TrkB associated with severe obesity and developmental delay
Yeo, G. S. H., Hung, C.-C. C., Rochford, J. J., Keogh, J. M., Gray, J. A., Sivaramakrishnan, S., O’Rahilly, S., & Farooqi, I. S. (2004) · Nature Neuroscience · doi:10.1038/nn1336 · Cited by 608
WASP: allele-specific software for robust molecular quantitative trait locus discovery
van de Geijn, B., McVicker, G., Gilad, Y., & Pritchard, J. K. (2015) · Nature Methods · doi:10.1038/nmeth.3582 · Cited by 575
Resurrecting Surviving Neandertal Lineages from Modern Human Genomes
Vernot, B., & Akey, J. M. (2014) · Science · doi:10.1126/science.1245938 · Cited by 562
Self-citationConsensus Paper: Language and the Cerebellum: an Ongoing Enigma
Mariën, P., Ackermann, H., Adamaszek, M., Barwood, C. H. S., Beaton, A. A., Desmond, J. E., Witte, E. D., Fawcett, A. J., Hertrich, I., Küper, M., et al. (2013) · The Cerebellum · doi:10.1007/s12311-013-0540-5 · Cited by 533
Identification of functional exonic splicing enhancer motifs recognized by individual SR proteinsPreprint
Liu, H., Zhang, M. Q., & Krainer, A. R. (1998) · Genes & Development · doi:10.1101/gad.12.13.1998 · Cited by 513
Genetic Ancestry and Natural Selection Drive Population Differences in Immune Responses to Pathogens
Nédélec, Y., Sanz, J., Baharian, G., Szpiech, Z. A., Pacis, A., Dumaine, A., Grenier, J.-C., Freiman, A., Sams, A. J., Hebert, S., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.025 · Cited by 512
Effect of read-mapping biases on detecting allele-specific expression from RNA-sequencing data.
Degner, J. F., Marioni, J. C., Pai, A. A., Pickrell, J. K., Nkadori, E., Gilad, Y., & Pritchard, J. K. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp579 · Cited by 502
Trk receptor tyrosine kinases: A bridge between cancer and neural development
Nakagawara, A. (2001) · Cancer Letters · doi:10.1016/s0304-3835(01)00530-4 · Cited by 499
Elevated gene expression levels distinguish human from non-human primate brains
Cáceres, M., Lachuer, J., Zapala, M. A., Redmond, J. C., Kudo, L., Geschwind, D. H., Lockhart, D. J., Preuss, T. M., & Barlow, C. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2135499100 · Cited by 491
Accelerated Evolution of Conserved Noncoding Sequences in Humans
Prabhakar, S., Noonan, J. P., Pääbo, S., & Rubin, E. M. (2006) · Science · doi:10.1126/science.1130738 · Cited by 481
Genetic adaptation and Neandertal admixture shaped the immune system of human populations
Quach, H., Rotival, M., Pothlichet, J., Loh, Y.-H. E., Dannemann, M., Zidane, N., Laval, G., Patin, E., Harmant, C., Lopez, M., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.024 · Cited by 475
The Combined Landscape of Denisovan and Neanderthal Ancestry in Present-Day Humans
Sankararaman, S., Mallick, S., Patterson, N., & Reich, D. (2016) · Current Biology · doi:10.1016/j.cub.2016.03.037 · Cited by 465
Excavating Neandertal and Denisovan DNA from the genomes of Melanesian individuals
Vernot, B., Tucci, S., Kelso, J., Schraiber, J. G., Wolf, A. B., Gittelman, R. M., Dannemann, M., Grote, S., McCoy, R. C., Norton, H., et al. (2016) · Science · doi:10.1126/science.aad9416 · Cited by 459
Self-citationA Genome-Wide Investigation of SNPs and CNVs in Schizophrenia
Need, A. C., Ge, D., Weale, M. E., Maia, J. M., Feng, S., Heinzen, E. L., Shianna, K. V., Yoon, W., Kasperavičiūtė, D., Gennarelli, M., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000373 · Cited by 454
The Genetic Cost of Neanderthal Introgression
Harris, K., & Nielsen, R. (2016) · Genetics · doi:10.1534/genetics.116.186890 · Cited by 419
The role of the basal ganglia and cerebellum in language processing
Booth, J. R., Wood, L., Lu, D., Houk, J. C., & Bitan, T. (2007) · Brain Research · doi:10.1016/j.brainres.2006.11.074 · Cited by 415
Tools and best practices for data processing in allelic expression analysis.
Castel, S. E., Levy-Moonshine, A., Mohammadi, P., Banks, E., & Lappalainen, T. (2015) · Genome Biology · doi:10.1186/s13059-015-0762-6 · Cited by 375 · cited 4×
“This step eliminates the contribution of erroneous heterozygous genotypes to false ASE signal, but has the side effect of filtering true cases of monoallelic expression (Castel et al., 2015).”
InfluentialThe apelin receptor APJ: journey from an orphan to a multifaceted regulator of homeostasis
O’Carroll, A., Lolait, S. J., Harris, L. E., & Pope, G. R. (2013) · Journal of Endocrinology · doi:10.1530/joe-13-0227 · Cited by 339
The phenotypic legacy of admixture between modern humans and Neandertals
Simonti, C. N., Vernot, B., Bastarache, L., Bottinger, E., Carrell, D. S., Chisholm, R. L., Crosslin, D. R., Hebbring, S. J., Jarvik, G. P., Kullo, I. J., et al. (2016) · Science · doi:10.1126/science.aad2149 · Cited by 330
Self-citationExpression profiling in primates reveals a rapid evolution of human transcription factors
Gilad, Y., Oshlack, A., Smyth, G. K., Speed, T. P., & White, K. P. (2006) · Nature · doi:10.1038/nature04559 · Cited by 323
The Strength of Selection against Neanderthal Introgression
Juric, I., Aeschbacher, S., & Coop, G. (2016) · PLOS Genetics · doi:10.1371/journal.pgen.1006340 · Cited by 309
Rapid evolution of the cerebellum in humans and other great apes
Barton, R. A., & Venditti, C. (2014) · Current Biology · doi:10.1016/j.cub.2014.08.056 · Cited by 291
Possible Ancestral Structure in Human Populations
Plagnol, V., & Wall, J. D. (2006) · PLoS Genetics · doi:10.1371/journal.pgen.0020105 · Cited by 275
The Genotype-Tissue Expression (GTEx) project
Lonsdale, J., Thomas, J., Salvatore, M., Phillips, R., Lo, E., Shad, S., Hasz, R., Walters, G., Garcia, F., Young, N., et al. (2013) · Nature Genetics · doi:10.1038/ng.2653 · Cited by 263
Deschamps, M., Laval, G., Fagny, M., Itan, Y., Abel, L., Casanova, J.-L., Patin, E., & Quintana-Murci, L. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.11.014 · Cited by 257
Dannemann, M., Andrés, A. M., & Kelso, J. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.11.015 · Cited by 249
Many human accelerated regions are developmental enhancers
Capra, J. A., Erwin, G. D., McKinsey, G., Rubenstein, J. L. R., & Pollard, K. S. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0025 · Cited by 235
Landry, C. R., Wittkopp, P. J., Taubes, C. H., Ranz, J. M., Clark, A. G., & Hartl, D. L. (2005) · Genetics · doi:10.1534/genetics.105.047449 · Cited by 235
Pearce, E., Stringer, C. B., & Dunbar, R. (2013) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2013.0168 · Cited by 224
Blasius, A. L., Arnold, C. N., Georgel, P., Rutschmann, S., Xia, Y., Lin, P., Ross, C., Li, X., Smart, N. G., & Beutler, B. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1014051107 · Cited by 203
Price, A. L., Helgason, A., Þorleifsson, G., McCarroll, S. A., Kong, A., & Stefánsson, K. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1001317 · Cited by 198
Gene Regulation and Speciation
Mack, K. L., & Nachman, M. W. (2016) · Trends in Genetics · doi:10.1016/j.tig.2016.11.003 · Cited by 193
Archaic Hominin Admixture Facilitated Adaptation to Out-of-Africa Environments
Gittelman, R. M., Schraiber, J. G., Vernot, B., Mikacenic, C., Wurfel, M. M., & Akey, J. M. (2016) · Current Biology · doi:10.1016/j.cub.2016.10.041 · Cited by 181
Self-citationBrain ontogeny and life history in Pleistocene hominins
Hublin, J.-J., Neubauer, S., & Gunz, P. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0062 · Cited by 173
Genome-Wide Patterns of Expression in Drosophila Pure Species and Hybrid Males
Michalak, P. (2003) · Molecular Biology and Evolution · doi:10.1093/molbev/msg119 · Cited by 170
Beck, T., Hastings, R. K., Hesketh, S., Free, R. C., & Brookes, A. J. (2013) · European Journal of Human Genetics · doi:10.1038/ejhg.2013.274 · Cited by 166
The CREB1-BDNF-NTRK2 Pathway in Depression: Multiple Gene-Cognition-Environment Interactions
Juhász, G., Dunham, J. S., McKie, S., Thomas, E., Downey, D., Chase, D. S., Lloyd-Williams, K., Toth, Z. G., Platt, H., Mekli, K., et al. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.11.019 · Cited by 160
Currat, M., & Excoffier, L. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1107450108 · Cited by 158
Correia, C., Coutinho, A. M., Sequeira, A. F., Sousa, I., Venda, L. L., Almeida, J. P., Abreu, R., Lobo, C., Miguel, T. S., Conroy, J., et al. (2010) · Genes Brain & Behavior · doi:10.1111/j.1601-183x.2010.00627.x · Cited by 147
Apelin and its receptor APJ in cardiovascular diseases
Yu, X.-H., Tang, Z.-B., Liu, L.-J., Qian, H., Tang, S., Zhang, D., Tian, G.-P., & Tang, C. (2013) · Clinica Chimica Acta · doi:10.1016/j.cca.2013.09.001 · Cited by 134
Gray, J. A., Yeo, G. S. H., Hung, C.-C. C., Keogh, J. M., Clayton, P., Banerjee, K., McAulay, A., O’Rahilly, S., & Farooqi, I. S. (2006) · International Journal of Obesity · doi:10.1038/sj.ijo.0803390 · Cited by 121
Turner, L. M., & Harr, B. (2014) · eLife · doi:10.7554/elife.02504 · Cited by 121
Comprehensive identification and analysis of human accelerated regulatory DNAPreprint
Gittelman, R. M., Hun, E., Ay, F., Madeoy, J. J., Pennacchio, L. A., Noble, W. S., Hawkins, R. D., & Akey, J. M. (2015) · Genome Research · doi:10.1101/gr.192591.115 · Cited by 109
Self-citationKohli, M. A., Salyakina, D., Pfennig, A., Lucae, S., Horstmann, S., Menke, A., Kloiber, S. M., Hennings, J. M., Bradley, B., Ressler, K. J., et al. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.201 · Cited by 108
Murphy, T. M., Ryan, M., Foster, T., Kelly, C., McClelland, R. J., O’Grady, J., Corcoran, E., Brady, J., Reilly, M., Jeffers, A. B., et al. (2011) · Behavioral and Brain Functions · doi:10.1186/1744-9081-7-22 · Cited by 95
Detecting ancient positive selection in humans using extended lineage sorting
Peyrégne, S., Boyle, M. J., Dannemann, M., & Prüfer, K. (2017) · Genome Research · doi:10.1101/gr.219493.116 · Cited by 93
Fu, W., Gittelman, R. M., Bamshad, M. J., & Akey, J. M. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.09.006 · Cited by 86
Self-citationAssessing allele-specific expression across multiple tissues from RNA-seq read data
Pirinen, M., Lappalainen, T., Zaitlen, N., Dermitzakis, E. T., Donnelly, P., McCarthy, M. I., & Rivas, M. A. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv074 · Cited by 83
Inherited Variation in Gene Expression
Skelly, D. A., Ronald, J., & Akey, J. M. (2009) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-082908-150121 · Cited by 78
Self-citationAlonso, P., Gratacòs, M., Menchón, J. M., Sáiz-Ruiz, J., Segalàs, C., Baca‐García, E., Labad, J., Fernández‐Piqueras, J., Real, E., Vaquero, C., et al. (2007) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.06.020 · Cited by 77
Genetic Association of Neurotrophic Tyrosine Kinase Receptor Type 2 (NTRK2) With Alzheimer's Disease
Chen, Z., Simmons, M. S., Perry, R. T., Wiener, H. W., Harrell, L. E., & Go, R. C. P. (2007) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.30607 · Cited by 71
Allelic mapping bias in RNA-sequencing is not a major confounder in eQTL studies
Panousis, N. I., Gutiérrez‐Arcelus, M., Dermitzakis, E. T., & Lappalainen, T. (2014) · Genome biology · doi:10.1186/s13059-014-0467-2 · Cited by 70
Gene-Gene Interactions Among CHRNA4, CHRNB2, BDNF, and NTRK2 in Nicotine Dependence
Li, M. D., Lou, X., Chen, G., Ma, J. Z., & Elston, R. C. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.04.026 · Cited by 64
Ribasés, M., Gratacòs, M., Badia, A. M. T. I., Jimenez, L., Solano, R., Vallejo, J., Fernández‐Aranda, F., & Estivill, X. (2005) · Molecular Psychiatry · doi:10.1038/sj.mp.4001670 · Cited by 60
Beuten, J., Ma, J. Z., Payne, T. J., Dupont, R. T., Lou, X., Crews, K. M., Elston, R. C., & Li, M. D. (2006) · Biological Psychiatry · doi:10.1016/j.biopsych.2006.02.023 · Cited by 51
Food Taxation in the United Kingdom, France, Germany, and the United States
Rosenbaum, S. (1908) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.2397-2335.1908.tb02680.x · Cited by 48
Genome-wide patterns of regulatory divergence revealed by introgression lines
Guerrero, R. F., Hahn, M. W., Moyle, L. C., & Posto, A. L. (2016) · Evolution · doi:10.1111/evo.12875 · Cited by 33
Ferguson, J., Gomes, S., & Civetta, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061575 · Cited by 14
Detecting ancient positive selection in humans using extended lineage sortingPreprint
Peyrégne, S., Boyle, M. J., Dannemann, M., et al. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/092999 · Cited by 7
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1 of the 92 references couldn’t be matched to a known paper.
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CADD: predicting the deleteriousness of variants throughout the human genome
Rentzsch, P., Witten, D., Cooper, G. M., Shendure, J., & Kircher, M. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1016 · Cited by 3,534
The influence of evolutionary history on human health and disease
Benton, M. L., Abraham, A., LaBella, A. L., Abbot, P., Rokas, A., & Capra, J. A. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-020-00305-9 · Cited by 291
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
Self-citationNeanderthal language revisited: not only us
Dediu, D., & Levinson, S. C. (2018) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2018.01.001 · Cited by 218
Limits of long-term selection against Neandertal introgression
Petr, M., Pääbo, S., Kelso, J., & Vernot, B. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1814338116 · Cited by 211
Metadata
- Authors
- McCoy, R. C., Wakefield, J., & Akey, J. M.
- Affiliations
- University of Washington (US)
- Corresponding author
- Akey, Joshua M.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 168
- Issue
- 5
- Pages
- 916-927.e12
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC6219754
- OpenAlex
- W2594204182
- Cited by
- 200
- References
- 92
- Citations by year
- 2026: 17 · 2025: 10 · 2024: 22 · 2023: 23 · 2022: 15 · 2021: 27 · 2020: 37 · 2019: 26 · 2018: 16 · 2017: 7
- FWCI
- 94.65
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH/NHGRI (5T32HG000035-22)
- NIH (R01GM110068)
- Common Fund of the Office of the Director of the NIH
- NCI
- NHGRI
- NHLBI
- NIDA
- NIMH
- NINDS
- NCI\SAIC-Frederick
- Disease Research Interchange (10XS170)
- Roswell Park Cancer Institute (10XS171)
- Science Care (X10S172, HHSN268201000029C)
- The Broad Institute
- Van Andel Institute (10ST1035)
- SAIC-F (HHSN261200800001E)
- University of Miami (DA006227, DA033684, N01MH000028, MH090941, MH101814, MH090951, MH090937, MH101820, MH101825, MH090936, MH101819, MH090948, MH101782, MH101810, MH101822)
- 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 › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- Neanderthal introgression, allele-specific expression, cis-regulatory variation, human gene expression, ancient hybridization, regulatory evolution, natural selection
- MeSH terms
- Animals, Brain, Gene Expression Regulation, Humans, Male, Organ Specificity, Testis, Gene Expression, Evolution, Molecular, Polymorphism, Single Nucleotide, Quantitative Trait Loci, 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.
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