The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
The accessible chromatin landscape of the human genome
Open accessAbstract
DNase I hypersensitive sites (DHSs) are markers of regulatory DNA and have underpinned the discovery of all classes of cis-regulatory elements including enhancers, promoters, insulators, silencers and locus control regions. Here we present the first extensive map of human DHSs identified through genome-wide profiling in 125 diverse cell and tissue types. We identify ∼2.9 million DHSs that encompass virtually all known experimentally validated cis-regulatory sequences and expose a vast trove of novel elements, most with highly cell-selective regulation. Annotating these elements using ENCODE data reveals novel relationships between chromatin accessibility, transcription, DNA methylation and regulatory factor occupancy patterns. We connect ∼580,000 distal DHSs with their target promoters, revealing systematic pairing of different classes of distal DHSs and specific promoter types. Patterning of chromatin accessibility at many regulatory regions is organized with dozens to hundreds of co-activated elements, and the transcellular DNase I sensitivity pattern at a given region can predict cell-type-specific functional behaviours. The DHS landscape shows signatures of recent functional evolutionary constraint. However, the DHS compartment in pluripotent and immortalized cells exhibits higher mutation rates than that in highly differentiated cells, exposing an unexpected link between chromatin accessibility, proliferative potential and patterns of human variation. An extensive map of human DNase I hypersensitive sites, markers of regulatory DNA, in 125 diverse cell and tissue types is described; integration of this information with other ENCODE-generated data sets identifies new relationships between chromatin accessibility, transcription, DNA methylation and regulatory factor occupancy patterns. This paper describes the first extensive map of human DNaseI hypersensitive sites — markers of regulatory DNA — in 125 diverse cell and tissue types. Integration of this information with other data sets generated by ENCODE (Encyclopedia of DNA Elements) identified new relationships between chromatin accessibility, transcription, DNA methylation and regulatory-factor occupancy patterns. Evolutionary-conservation analysis revealed signatures of recent functional constraint within DNaseI hypersensitive sites.
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
“Assisted loading events are coupled with increases in enhancer activity as measured by DNase hypersensitivity or H3K27 acetylation (H3K27ac), two well-established markers for active enhancers38–40.”
From Synergistic gene expression during the acute phase response is characterized by transcription factor assisted loading (2017) · cites this paper as [40]
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
“According to recent estimates, the number of enhancers in the human genome ranges from 400,000 to 1,000,000 [22,23].”
From Enhancer Function in the 3D Genome (2023) · cites this paper as [23]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“To some degree this can be overcome by correlative approaches (e.g. correlating open chromatin status between promoters and enhancers across large numbers of cell types) but such links remain inferential45,134,135.”
From Towards a comprehensive catalogue of validated and target-linked human enhancers (2020) · cites this paper as [45]
In the citing paper
“most genetic variation that contributes to common psychiatric disorders is not in protein-coding regions”
From Defining the genetic, genomic, cellular, and diagnostic architectures of psychiatric disorders (2019) · cites this paper as Thurman et al., 2012
In the citing paper
“Thus, methods that measure chromatin accessibility by combining sensitivity to enzymatic digestion with sequencing6–8 provide an integrated map of chromatin states that encompasses a diverse repertoire of functional regulatory elements2,5.”
From Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility (2019) · cites this paper as [2]
In the citing paper
“Both classical observations5 and recent genome-wide efforts2 have shown that active regulatory elements are canonically nucleosome free and accessible to transcriptional machinery.”
From Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility (2019) · cites this paper as [2]
In the citing paper
“We found that chromatin accessibility from bulk ATAC-seq8 and DNase-seq2 and the aggregate chromatin accessibility across the different single-cell technologies18,19,24,25 were highly correlated (Fig. 1c,d).”
From Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility (2019) · cites this paper as [2]
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
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Self-citationLandscape of transcription in human cells
Djebali, S., Davis, C. A., Merkel, A., Dobin, A., Lassmann, T., Mortazavi, A., Tanzer, A., Lagarde, J., Lin, W., Schlesinger, F., et al. (2012) · Nature · doi:10.1038/nature11233 · Cited by 5,187
Self-citationGENCODE: 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
miRBase: tools for microRNA genomics
Griffiths‐Jones, S., Saini, H. K., van Dongen, S., & Enright, A. J. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm952 · Cited by 4,432
FIMO: scanning for occurrences of a given motif
Grant, C. E., Bailey, T. L., & Noble, W. S. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr064 · Cited by 4,247
Heintzman, N. D., Stuart, R. K., Hon, G., Fu, Y., Ching, C. W., Hawkins, R. D., Barrera, L. O., Van Calcar, S., Qu, C., Ching, K. A., et al. (2007) · Nature Genetics · doi:10.1038/ng1966 · Cited by 3,398
Self-citationThe long-range interaction landscape of gene promoters
Sanyal, A., Lajoie, B. R., Jain, G., & Dekker, J. (2012) · Nature · doi:10.1038/nature11279 · Cited by 1,489
Self-citationHigh-Resolution Mapping and Characterization of Open Chromatin across the Genome
Boyle, A. P., Davis, S., Shulha, H. P., Meltzer, P., Margulies, E. H., Weng, Z., Furey, T. S., & Crawford, G. E. (2008) · Cell · doi:10.1016/j.cell.2007.12.014 · Cited by 1,415
Self-citationDNA-binding factors shape the mouse methylome at distal regulatory regions
Stadler, M. B., Murr, R., Burger, L., Ivanek, R., Lienert, F., Schöler, A., Nimwegen, E. V., Wirbelauer, C., Oakeley, E. J., Gaidatzis, D., et al. (2011) · Nature · doi:10.1038/nature10716 · Cited by 1,383
An Extended Transcriptional Network for Pluripotency of Embryonic Stem Cells
Kim, J., Chu, J., Shen, X., Wang, J., & Orkin, S. H. (2008) · Cell · doi:10.1016/j.cell.2008.02.039 · Cited by 1,361
Cited by
Sorted by citations
Items 501–600 of 1,010
Pálfy, M., Schulze, G., Valen, E., & Vastenhouw, N. L. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008546 · Cited by 99
Recombination in the Human Pseudoautosomal Region PAR1
Hinch, A. G., Altemose, N., Noor, N., Donnelly, P., & Myers, S. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004503 · Cited by 99
Interplay between chromatin state, regulator binding, and regulatory motifs in six human cell typesPreprint
Ernst, J., & Kellis, M. (2013) · Genome Research · doi:10.1101/gr.144840.112 · Cited by 99
Epigenomic priming of immune genes implicates oligodendroglia in multiple sclerosis susceptibility
Meijer, M., Agirre, E., Kabbe, M., van Tuijn, C. A., Heskol, A., Zheng, C., Mendanha Falcão, A., Bartosovic, M., Kirby, L., Calini, D., et al. (2022) · Neuron · doi:10.1016/j.neuron.2021.12.034 · Cited by 98
HMMRATAC: a Hidden Markov ModeleR for ATAC-seq
Tarbell, E., & Liu, T. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz533 · Cited by 98
The active enhancer network operated by liganded RXR supports angiogenic activity in macrophages
Daniel, B., Nagy, G., Hah, N., Horvath, A., Czimmerer, Z., Poliska, S., Gyuris, T., Keirsse, J., Gysemans, C., Van Ginderachter, J. A., et al. (2014) · Genes & Development · doi:10.1101/gad.242685.114 · Cited by 97
Goldstein, I., Paakinaho, V., Baek, S., Sung, M.-H., & Hager, G. L. (2017) · Nature Communications · doi:10.1038/s41467-017-02055-5 · Cited by 97
Evaluating risks of insertional mutagenesis by DNA transposons in gene therapy
Hackett, P. B., Largaespada, D. A., Switzer, K. C., & Cooper, L. J. N. (2013) · Translational research · doi:10.1016/j.trsl.2012.12.005 · Cited by 97
Le, D. D., Shimko, T. C., Aditham, A. K., Keys, A. M., Longwell, S. A., Orenstein, Y., & Fordyce, P. M. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715888115 · Cited by 97
Integrating ChIP-seq with other functional genomics data
Jiang, S., & Mortazavi, A. (2018) · Briefings in Functional Genomics · doi:10.1093/bfgp/ely002 · Cited by 96
Manavalan, B., Shin, T. H., & Lee, G. (2017) · Oncotarget · doi:10.18632/oncotarget.23099 · Cited by 97
Brahma, S., & Henikoff, S. (2023) · Nature Genetics · doi:10.1038/s41588-023-01603-8 · Cited by 97
Dong, X., Liao, Z., Gritsch, D., Hadzhiev, Y., Bai, Y., Locascio, J. J., Guennewig, B., Liu, G., Blauwendraat, C., Wang, T., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0223-0 · Cited by 97
Genome‐Scale Mapping of DNase I Hypersensitivity
John, S., Sabo, P. J., Canfield, T. K., Lee, K., Vong, S., Weaver, M., Wang, H., Vierstra, J. D., Reynolds, A. P., Thurman, R. E., et al. (2013) · Current Protocols in Molecular Biology · doi:10.1002/0471142727.mb2127s103 · Cited by 96
Self-citationDNA methylation and methylcytosine oxidation in cell fate decisions
Koh, K. P., & Rao, A. (2013) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2013.02.014 · Cited by 96
Siersbæk, M. S., Varticovski, L., Yang, S., Baek, S., Nielsen, R., Mandrup, S., Hager, G. L., Chung, J. H., & Grøntved, L. (2017) · Scientific Reports · doi:10.1038/srep40220 · Cited by 96
Epigenome engineering: new technologies for precision medicine
Sgro, A., & Blancafort, P. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa1000 · Cited by 96
The Impact of DNA Methylation in Hematopoietic Malignancies
Guillamot, M., Cimmino, L., & Aifantis, I. (2016) · Trends in cancer · doi:10.1016/j.trecan.2015.12.006 · Cited by 96
Understanding Celiac Disease by Genomics
Withoff, S., Li, Y., Jonkers, I. H., & Wijmenga, C. (2016) · Trends in Genetics · doi:10.1016/j.tig.2016.02.003 · Cited by 96
TET2 binding to enhancers facilitates transcription factor recruitment in hematopoietic cells
Rasmussen, K. D., Berest, I., Keβler, S., Nishimura, K., Simón-Carrasco, L., Vassiliou, G. S., Pedersen, M. T., Christensen, J., Zaugg, J. B., & Helin, K. (2019) · Genome Research · doi:10.1101/gr.239277.118 · Cited by 95
Promoter architectures and developmental gene regulation
Haberle, V., & Lenhard, B. (2016) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2016.01.014 · Cited by 94
Self-citationWang, M., Li, Z., Zhang, Y., Zhang, Y., Xie, Y., Ye, L., Zhuang, Y., Lin, K., Zhao, F., Guo, J., et al. (2021) · The Plant Cell · doi:10.1093/plcell/koab028 · Cited by 95
De novo DNA demethylation and noncoding transcription define active intergenic regulatory elementsPreprint
Schlesinger, F. J., Smith, A. D., Gingeras, T., Hannon, G. J., & Hodges, E. C. (2013) · Genome Research · doi:10.1101/gr.157271.113 · Cited by 96
Macqueen, D. J., Primmer, C. R., Houston, R. D., Nowak, B. F., Bernatchez, L., Bergseth, S., Davidson, W. S., Gallardo‐Escárate, C., Goldammer, T., Guiguen, Y., et al. (2017) · BMC Genomics · doi:10.1186/s12864-017-3862-8 · Cited by 95
A chromatin structure‐based model accurately predicts DNA replication timing in human cells
Gindin, Y., Valenzuela, M. S., Aladjem, M. I., Meltzer, P. S., & Bilke, S. (2014) · Molecular Systems Biology · doi:10.1002/msb.134859 · Cited by 94
Boyd, M., Thodberg, M., Vitezic, M., Bornholdt, J., Vitting‐Seerup, K., Chen, Y., Coskun, M., Li, Y., Lo, B. Z. S., Klausen, P. H., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03766-z · Cited by 94
Coexpression networks identify brain region–specific enhancer RNAs in the human brain
Yao, P., Lin, P., Gokoolparsadh, A., Assareh, A. A., Thang, M. W. C., & Voineagu, I. (2015) · Nature Neuroscience · doi:10.1038/nn.4063 · Cited by 94
Proteotoxic stress reprograms the chromatin landscape of SUMO modification
Seifert, A., Schofield, P. G., Barton, G. J., & Hay, R. T. (2015) · Science Signaling · doi:10.1126/scisignal.aaa2213 · Cited by 94
Chen, J., Chen, X., Li, M., Liu, X., Gao, Y., Kou, X., Zhao, Y., Zheng, W., Zhang, X., Huo, Y., et al. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.01.013 · Cited by 94
Self-citationCirculating DNA of HOTAIR in serum is a novel biomarker for breast cancer
Zhang, L., Song, X., Wang, X., Xie, Y., Wang, Z., Xu, Y., You, X., Liang, Z., & Cao, H. (2015) · Breast Cancer Research and Treatment · doi:10.1007/s10549-015-3431-2 · Cited by 93
DNA methylation dynamics during ex vivo differentiation and maturation of human dendritic cells
Zhang, X., Ulm, A., Somineni, R. P., Oh, S., Weirauch, M. T., Zhang, H.-X., Chen, X., Lehn, M. A., Janssen, E. M., & Ji, H. (2014) · Epigenetics & Chromatin · doi:10.1186/1756-8935-7-21 · Cited by 93
Göke, J., & Ng, H. (2016) · EMBO Reports · doi:10.15252/embr.201642743 · Cited by 93
Transcriptional regulatory logic of the diurnal cycle in the mouse liver
Sobel, J., Krier, I., Andersin, T., Raghav, S. K., Canella, D., Gilardi, F., Kalantzi, A., Rey, G., Weger, B. D., Gachon, F., et al. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2001069 · Cited by 93
Multiscale footprints reveal the organization of cis-regulatory elements
Yan, H., Horlbeck, M. A., Zhang, R., Ma, S., Shrestha, R., Kartha, V. K., Duarte, F. M., Hock, C., Savage, R. E., Labade, A. S., et al. (2025) · Nature · doi:10.1038/s41586-024-08443-4 · Cited by 93
Demystifying the secret mission of enhancers: linking distal regulatory elements to target genes
Yao, L., Berman, B. P., & Farnham, P. (2015) · Critical Reviews in Biochemistry and Molecular Biology · doi:10.3109/10409238.2015.1087961 · Cited by 93
Baldauf, M. C., Orth, M. F., Dallmayer, M., Marchetto, A., Gerke, J. S., Rubío, R. A., Kıran, M. M., Musa, J., Knott, M. M. L., Ohmura, S., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.20098 · Cited by 93
Immunogenetics of rheumatoid arthritis: Understanding functional implications
Messemaker, T. C., Huizinga, T. W. J., & Kurreeman, F. A. S. (2015) · Journal of Autoimmunity · doi:10.1016/j.jaut.2015.07.007 · Cited by 92
Short-term memory of danger signals and environmental stimuli in immune cells
Monticelli, S., & Natoli, G. (2013) · Nature Immunology · doi:10.1038/ni.2636 · Cited by 92
Progress and challenges in bioinformatics approaches for enhancer identification
Kleftogiannis, D., Kalnis, P., & Bajić, V. B. (2015) · Briefings in Bioinformatics · doi:10.1093/bib/bbv101 · Cited by 92
Li, L., Wang, Y., Torkelson, J. L., Shankar, G., Pattison, J. M., Zhen, H. H., Fang, F., Duren, Z., Xin, J., Gaddam, S., et al. (2019) · Cell stem cell · doi:10.1016/j.stem.2018.12.012 · Cited by 92
Detect accessible chromatin using ATAC-sequencing, from principle to applications
Sun, Y., Miao, N., & Sun, T. (2019) · Hereditas · doi:10.1186/s41065-019-0105-9 · Cited by 92
MicroDNA levels are dependent on MMEJ, repressed by c-NHEJ pathway, and stimulated by DNA damage
Paulsen, T., Malapati, P., Shibata, Y., Wilson, B., Eki, R., Benamar, M., Abbas, T., & Dutta, A. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab984 · Cited by 94
Mendióroz, M., Do, C., Jiang, X., Liu, C., Darbary, H. K., Lang, C. F., Lin, J. P., Thomas, A. C., Abu-Amero, S. N., Stanier, P., et al. (2015) · Genome biology · doi:10.1186/s13059-015-0827-6 · Cited by 92
Swift, J., & Coruzzi, G. M. (2016) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2016.08.007 · Cited by 92
Long distance relationships: Enhancer–promoter communication and dynamic gene transcription
Marsman, J., & Horsfield, J. A. (2012) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2012.10.008 · Cited by 91
Vierstra, J. D., & Stamatoyannopoulos, J. A. (2016) · Nature Methods · doi:10.1038/nmeth.3768 · Cited by 91
Self-citationInflammation-Induced Oxidative Stress Mediates Gene Fusion Formation in Prostate Cancer
Mani, R. S., Amin, M. A., Li, X., Sundaram, S. K., Veeneman, B. A., Wang, L., Ghosh, A., Aslam, A. J., Ramanand, S. G., Rabquer, B. J., et al. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.11.019 · Cited by 91
Progress in the Genetics of Polygenic Brain Disorders: Significant New Challenges for Neurobiology
McCarroll, S. A., & Hyman, S. E. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.046 · Cited by 90
Nabholz, B., Sarah, G., Sabot, F., Ruíz, M., Adam, H., Nidelet, S., Ghesquière, A., Santoni, S., David, J., & Glémin, S. (2014) · Molecular Ecology · doi:10.1111/mec.12738 · Cited by 90
Aughey, G. N., Estacio Gomez, A., Thomson, J., Yin, H., & Southall, T. D. (2018) · eLife · doi:10.7554/elife.32341 · Cited by 89
Emergence of the Noncoding Cancer Genome: A Target of Genetic and Epigenetic Alterations
Zhou, S., Treloar, A. E., & Lupien, M. (2016) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-0745 · Cited by 89
The histone variant H2A.Z is an important regulator of enhancer activity
Brunelle, M., Nordell-Markovits, A., Rodrigue, S., Lupien, M., Jacques, P., & Gévry, N. Y. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv825 · Cited by 90
Tolcher, A. W., Rodrigueza, W. V., Rasco, D. W., Patnaik, A., Papadopoulos, K. P., Amaya, A., Moore, T. D., Gaylor, S. K., Bisgaier, C. L., Sooch, M., et al. (2013) · Cancer Chemotherapy and Pharmacology · doi:10.1007/s00280-013-2361-0 · Cited by 89
Integrated Module and Gene-Specific Regulatory Inference Implicates Upstream Signaling Networks
Roy, S., Lagree, S., Hou, Z., Thomson, J. A., Stewart, R. M., & Gasch, A. P. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003252 · Cited by 89
Lukic, S., Nicolas, J.-C., & Levine, A. J. (2013) · Cell Death and Differentiation · doi:10.1038/cdd.2013.150 · Cited by 89
DiseaseEnhancer: a resource of human disease-associated enhancer catalog
Zhang, G., Shi, J., Zhu, S., Lan, Y., Xu, L., Yuan, H., Liao, G., Liu, X., Zhang, Y., Xiao, Y., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx920 · Cited by 88
Liu, S., Xue, C., Fang, Y., Chen, G., Peng, X., Zhou, Y., Chen, C., Liu, G., Gu, M., Wang, K., et al. (2018) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra118.000640 · Cited by 88
Houshdaran, S., Oke, A., Fung, J. C., Vo, K. C., NEZHAT, C. R., & Giudice, L. C. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008601 · Cited by 88
Deep neural networks identify sequence context features predictive of transcription factor binding
Zheng, A., Lamkin, M., Zhao, H., Wu, C., Su, H., & Gymrek, M. (2021) · Nature Machine Intelligence · doi:10.1038/s42256-020-00282-y · Cited by 88
Cotsapas, C. J., Mitrovič, M., & Hafler, D. A. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64076-5.00046-6 · Cited by 88
Detection of Chromosomal Breakpoints in Patients with Developmental Delay and Speech Disorders
Utami, K. H., Hillmer, A. M., Aksoy, I., Chew, E. G. Y., Teo, A. S. M., Zhang, Z., Lee, C. W. H., Chen, P. J., Seng, C. C., Ariyaratne, P. N., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090852 · Cited by 87
Self-citationQuantifying single nucleotide variant detection sensitivity in exome sequencing
Meynert, A. M., Bicknell, L. S., Hurles, M. E., Jackson, A. P., & Taylor, M. S. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-195 · Cited by 87
Current Genetics and Epigenetics of Smoking/Tobacco-Related Cardiovascular Disease
Breitling, L. P. (2013) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.112.300157 · Cited by 87
Mapping effector genes at lupus GWAS loci using promoter Capture-C in follicular helper T cells
Su, C., Johnson, M. E., Torres, A., Thomas, R. M., Manduchi, E., Sharma, P. K., Mehra, P., Coz, C. L., Leonard, M. E., Lu, S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17089-5 · Cited by 86
Olama, A. A. A., Dadaev, T., Hazelett, D. J., Li, Q., Leongamornlert, D. A., Saunders, E. J., Stephens, S. H., Cieza-Borrella, C., Whitmore, I., Garcia, S. B., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv203 · Cited by 87
Allosteric Modulators for the Treatment of Schizophrenia: Targeting Glutamatergic Networks
Menniti, F. S., Lindsley, C. W., Conn, P. J., Pandit, J., Zagouras, P., & Volkmann, R. A. (2013) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026611313010005 · Cited by 87
The Role of Epigenetics in Type 1 Diabetes
Jerram, S. T., Dang, M. N., & Leslie, R. D. (2017) · Current Diabetes Reports · doi:10.1007/s11892-017-0916-x · Cited by 86
McEnhancer: predicting gene expression via semi-supervised assignment of enhancers to target genes
Hafez, D., Calviello, A. K., Krueger, S., Hwang, Y.-C., Wang, L., Zinzen, R. P., & Ohler, U. (2017) · Genome biology · doi:10.1186/s13059-017-1316-x · Cited by 86
Illuminating the noncoding genome in cancer
Zhang, X., & Meyerson, M. M. (2020) · Nature Cancer · doi:10.1038/s43018-020-00114-3 · Cited by 86
ChIP-Hub provides an integrative platform for exploring plant regulome
Fu, L.-Y., Zhu, T., Zhou, X., Yu, R., He, Z., Zhang, P., Wu, Z., Chen, M., Kaufmann, K., & Chen, D. (2022) · Nature Communications · doi:10.1038/s41467-022-30770-1 · Cited by 86
Sequence specificity incompletely defines the genome-wide occupancy of Myc
Guo, J., Li, T., Schipper, J. L., Nilson, K. A., Fordjour, F. K., Cooper, J. J., Gordân, R., & Price, D. H. (2014) · Genome biology · doi:10.1186/s13059-014-0482-3 · Cited by 86
Chaitankar, V., Karakülah, G., Ratnapriya, R., Giuste, F., Brooks, M. J., & Swaroop, A. (2016) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2016.06.001 · Cited by 86
Genomic approaches for understanding the genetics of complex diseasePreprint
Lowe, W. L., & Reddy, T. E. (2015) · Genome Research · doi:10.1101/gr.190603.115 · Cited by 86
Barnett, K. R., Decato, B. E., Scott, T. J., Hansen, T. J., Chen, B., Attalla, J., Smith, A. D., & Hodges, E. C. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.01.004 · Cited by 85
Athanasopoulou, K., Michalopoulou, V.-I., Scorilas, A., & Adamopoulos, P. G. (2025) · Current Issues in Molecular Biology · doi:10.3390/cimb47060470 · Cited by 85
González, A. J., Setty, M. N., & Leslie, C. S. (2015) · Nature Genetics · doi:10.1038/ng.3402 · Cited by 85
Kapoor, A., Sekar, R. B., Hansen, N. F., Fox-Talbot, K., Morley, M. P., Pihur, V., Chatterjee, S., Brandimarto, J., Moravec, C. S., Pulit, S. L., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.05.001 · Cited by 85
Intronic locus determines SHROOM3 expression and potentiates renal allograft fibrosis
Menon, M. C., Chuang, P. Y., Li, Z., Wei, C., Zhang, W., Luan, Y., Yi, Z., Xiong, H., Woytovich, C., Greene, I., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci76902 · Cited by 85
Mallinjoud, P., Villemin, J.-P., Mortada, H., Espinoza, M. P., Desmet, F.-O., Samaan, S., Chautard, É., Tranchevent, L.-C., & Auboeuf, D. (2013) · Genome Research · doi:10.1101/gr.162933.113 · Cited by 86
Conserved Higher-Order Chromatin Regulates NMDA Receptor Gene Expression and Cognition
Bharadwaj, R., Peter, C. J., Jiang, Y., Roussos, P., Vogel-Ciernia, A., Shen, E. Y., Mitchell, A. C., Mao, W., Whittle, C., Dincer, A., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.032 · Cited by 84
Ludwig, K. U., Ahmed, S. T., Böhmer, A. C., Sangani, N. B., Varghese, S., Klamt, J., Schünke, H., Gültepe, P., Hofmann, A., Rubini, M., et al. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1005914 · Cited by 84
Gaiti, F., Jindrich, K., Fernández-Valverde, S. L., Roper, K. E., Degnan, B. M., & Tanurdžić, M. (2017) · eLife · doi:10.7554/elife.22194 · Cited by 84
Muratani, M., Deng, N., Ooi, W. F., Lin, S. J., Xing, M., Xu, C., Qamra, A., Tay, S. T., Malik, S., Wu, J., et al. (2014) · Nature Communications · doi:10.1038/ncomms5361 · Cited by 84
Gusmao, E. G., Dieterich, C., Zenke, M., & Costa, I. G. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu519 · Cited by 84
Marinello, J., Chillemi, G., Bueno, S., Manzo, S. G., & Capranico, G. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt778 · Cited by 84
Lamin B1 loss promotes lung cancer development and metastasis by epigenetic derepression of RET
Jia, Y., Vong, J. S. L., Asafova, A., Garvalov, B. K., Caputo, L., Cordero, J., Singh, A., Boettger, T., Günther, S., Fink, L., et al. (2019) · The Journal of Experimental Medicine · doi:10.1084/jem.20181394 · Cited by 84
Transcriptional control by enhancers and enhancer RNAs
Lewis, M. W., Shen, L., & Franco, H. L. (2019) · Transcription · doi:10.1080/21541264.2019.1695492 · Cited by 84
Thomas, E. D., Timms, A. E., Giles, S., Harkins-Perry, S. R., Lyu, P., Hoang, T. V., Qian, J. X., Jackson, V. E., Bahlo, M., Blackshaw, S., et al. (2022) · Developmental Cell · doi:10.1016/j.devcel.2022.02.018 · Cited by 83
Rad, R., Rad, L., Wang, W. T., Strong, A., Ponstingl, H., Bronner, I. F., Mayho, M., Steiger, K., Weber, J., Hieber, M., et al. (2014) · Nature Genetics · doi:10.1038/ng.3164 · Cited by 83
Multiplex enhancer-reporter assays uncover unsophisticated TP53 enhancer logic
Verfaillie, A., Svetlichnyy, D., Imrichova, H., Davie, K., Fiers, M., Kalender Atak, Z., Hulselmans, G., Christiaens, V., & Aerts, S. (2016) · Genome Research · doi:10.1101/gr.204149.116 · Cited by 82
ZBTB33 binds unmethylated regions of the genome associated with actively expressed genes
Blattler, A., Yao, L., Wang, Y., Ye, Z., Jin, V. X., & Farnham, P. J. (2013) · Epigenetics & Chromatin · doi:10.1186/1756-8935-6-13 · Cited by 82
Genetics of dystonia: What's known? What's new? What's next?
Lohmann, K., & Klein, C. (2013) · Movement Disorders · doi:10.1002/mds.25536 · Cited by 82
Alam, T., Medvedeva, Y. A., Jia, H., Brown, J., Lipovich, L., & Bajić, V. B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109443 · Cited by 82
Wiggs, J. L. (2015) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2015.04.008 · Cited by 82
Bysani, M., Ågren, R., Davegårdh, C., Volkov, P., Rönn, T., Unneberg, P., Bacos, K., & Ling, C. (2019) · Scientific Reports · doi:10.1038/s41598-019-44076-8 · Cited by 82
Kiani, K., Sanford, E. M., Goyal, Y., & Raj, A. (2022) · Molecular Systems Biology · doi:10.15252/msb.202210979 · Cited by 82
Mutational Biases Drive Elevated Rates of Substitution at Regulatory Sites across Cancer Types
Kaiser, V. B., Taylor, M. S., & Semple, C. A. M. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1006207 · Cited by 82
Transient T-bet expression functionally specifies a distinct T follicular helper subset
Fang, D., Cui, K., Mao, K., Hu, G., Li, R., Zheng, M., Riteau, N., Reiner, S. L., Sher, A., Zhao, K., et al. (2018) · The Journal of Experimental Medicine · doi:10.1084/jem.20180927 · Cited by 82
Non-canonical functions of the DNA methylome in gene regulation
Reddington, J. P., Pennings, S., & Meehan, R. R. (2013) · Biochemical Journal · doi:10.1042/bj20121585 · Cited by 81
Enhancers and chromatin structures: regulatory hubs in gene expression and diseases
Hu, Z., & Tee, W. (2017) · Bioscience Reports · doi:10.1042/bsr20160183 · Cited by 80
Metadata
- Authors
- Thurman, R. E., Rynes, E., Humbert, R., Vierstra, J., Maurano, M. T., Haugen, E., Sheffield, N. C., Stergachis, A. B., Wang, H., Vernot, B., Garg, K., John, S., Sandstrom, R., Bates, D., Boatman, L., Canfield, T. K., Diegel, M., Dunn, D., Ebersol, A. K., Frum, T., Giste, E., Johnson, A. K., Johnson, E. M., Kutyavin, T., Lajoie, B., Lee, B.-K., Lee, K., London, D., Lotakis, D., Neph, S., Neri, F., Nguyen, E. D., Qu, H., Reynolds, A. P., Roach, V., Safi, A., Sanchez, M. E., Sanyal, A., Shafer, A., Simon, J. M., Song, L., Vong, S., Weaver, M., Yan, Y., Zhang, Z., Zhang, Z., Lenhard, B., Tewari, M., Dorschner, M. O., Hansen, R. S., Navas, P. A., Stamatoyannopoulos, G., Iyer, V. R., Lieb, J. D., Sunyaev, S. R., Akey, J. M., Sabo, P. J., Kaul, R., Furey, T. S., Dekker, J., Crawford, G. E., & Stamatoyannopoulos, J. A.
- Affiliations
- University of Washington (US)
- Duke University (US)
- Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa (ZA)
- University of Massachusetts Chan Medical School (US)
- The University of Texas at Austin (US)
- Chinese Academy of Sciences (CN)
- University of North Carolina at Chapel Hill (US)
- University of Bergen (NO)
- Brigham and Women's Hospital (US)
- Corresponding author
- Stamatoyannopoulos, John A.
- ORCID
- Rynes, Eric
- Vierstra, Jeff
- Maurano, Matthew T.
- Haugen, Eric
- Sheffield, Nathan C.
- Stergachis, Andrew B.
- Vernot, Benjamin
- Garg, Kavita
- Sandstrom, Richard
- Bates, Daniel
- Frum, Tristan
- Lajoie, Bryan
- Lee, Bum-Kyu
- Lee, Kristen
- Lotakis, Dimitra
- Neph, Shane
- Qu, Hongzhu
- Reynolds, Alex P.
- Safi, Alexias
- Sanyal, Amartya
- Simon, Jeremy M.
- Song, Lingyun
- Zhang, Zhancheng
- Zhang, Zhuzhu
- Lenhard, Boris
- Tewari, Muneesh
- Iyer, Vishwanath R.
- Sunyaev, Shamil R.
- Akey, Joshua M.
- Sabo, Peter J.
- Kaul, Rajinder
- Furey, Terrence S.
- Dekker, Job
- Crawford, Gregory E.
- Stamatoyannopoulos, John A.
- Venue
- Nature
- Published
- 2012-09
- Volume
- 489
- Issue
- 7414
- Pages
- 75-82
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3721348
- OpenAlex
- W1964963969
- Cited by
- 2,679
- References
- 38
- Citations by year
- 2026: 81 · 2025: 97 · 2024: 119 · 2023: 140 · 2022: 170 · 2021: 218 · 2020: 192 · 2019: 199 · 2018: 227 · 2017: 238 · 2016: 238 · 2015: 247 · 2014: 242 · 2013: 235 · 2012: 31
- FWCI
- 96.99
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- UNC Libraries
- Funders
- National Science Foundation (HHSN261200800001E, DGE-0-718124, 0718124)
- Norges Forskningsråd
- National Institutes of Health (#HHSN261200800001E, 5u54hg004563-04, HG004563)
- National Institute of Mental Health (R01MH084676)
- National Human Genome Research Institute (U54‑HG004563, U54HG004592, HG004592, HG004563, R01HG003143)
- National Cancer Institute (HHSN261200800001E), P30CA016086)
- National Institute of General Medical Sciences (R01GM076036, GM076036)
- National Institute of Diabetes and Digestive and Kidney Diseases (F30DK095678)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- DNase I hypersensitive sites, chromatin accessibility, cis-regulatory elements, enhancers, promoter, insulators, silencers, locus control region, cell type-specific gene regulation, DNA methylation, transcription factor occupancy, evolutionary constraints, mutation rate, pluripotent cells, human diversity, ENCODE
- MeSH terms
- Chromatin, Deoxyribonuclease I, DNA, DNA-Binding Proteins, Encyclopedias as Topic, Humans, Promoter Regions, Genetic, Regulatory Sequences, Nucleic Acid, Transcription Factors, Transcription, Genetic, Genome, Human, DNA Footprinting, Evolution, Molecular, DNA Methylation, Genomics, Transcription Initiation Site, Molecular Sequence Annotation, Mutation Rate
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