The DOI matches its Crossref record; 121 of the 123 references it cites were found in a registry or an index.
Genomic views of distant-acting enhancers
Open accessAbstract
In contrast to protein-coding sequences, the significance of variation in non-coding DNA in human disease has been minimally explored. A great number of recent genome-wide association studies suggest that non-coding variation is a significant risk factor for common disorders, but the mechanisms by which this variation contributes to disease remain largely obscure. Distant-acting transcriptional enhancers--a major category of functional non-coding DNA--are involved in many developmental and disease-relevant processes. Genome-wide approaches to their discovery and functional characterization are now available and provide a growing knowledge base for the systematic exploration of their role in human biology and disease susceptibility.
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?
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 Visel et al., 2009
In the citing paper
“The majority of disease-associated genetic variation lies in non-coding regions (7) enriched for non-coding RNAs and cis regulatory elements that regulate gene expression and splicing of their cognate coding gene targets (8, 9).”
From Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder (2018) · cites this paper as [9]
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
Initial sequencing and analysis of the human genome
International Human Genome Sequencing Consortium, Whitehead Institute for Biomedical Research, C. F. G. R., Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., Devon, K., Dewar, K., et al. (2001) · Nature · doi:10.1038/35057062 · Cited by 24,216
The sequence of the human genome
Venter, J. C., Adams, M. D., Myers, E. W., Li, P. W., Mural, R. J., Sutton, G. G., Smith, H. O., Yandell, M., Evans, C. A., Holt, R. A., et al. (2001) · Science · doi:10.1126/science.1058040 · Cited by 13,909
RNA-Seq: a revolutionary tool for transcriptomics
Wang, Z., Gerstein, M., & Snyder, M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2484 · Cited by 13,174
Initial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
High-Resolution Profiling of Histone Methylations in the Human Genome
Barski, A., Cuddapah, S., Cui, K., Roh, T.-Y., Schones, D. E., Wang, Z., Wei, G., Chepelev, I., & Zhao, K. (2007) · Cell · doi:10.1016/j.cell.2007.05.009 · Cited by 6,845
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Finishing the euchromatic sequence of the human genome
International Human Genome Sequencing Consortium (2004) · Nature · doi:10.1038/nature03001 · Cited by 4,971
Genome-wide maps of chromatin state in pluripotent and lineage-committed cells
Mikkelsen, T. S., Ku, M., Jaffe, D. B., Issac, B., Lieberman, E., Giannoukos, G., Alvarez, P., Brockman, W., Kim, T.-K., Koche, R. P., et al. (2007) · Nature · doi:10.1038/nature06008 · Cited by 4,129
Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes
Siepel, A., Bejerano, G., Pedersen, J. S., Hinrichs, A. S., Hou, M., Rosenbloom, K., Clawson, H., Spieth, J., Hillier, L. W., Richards, S., et al. (2005) · Genome Research · doi:10.1101/gr.3715005 · Cited by 3,971 · cited 1×
“However, some observations have challenged such a generalized correlation between sequence conservation and enhancer activity: (1) experimental analysis of individual loci suggested that a large proportion of enhancers cannot be detected by comparative genomics 56, (2) a surprisingly large fraction of sequences in the…”
BackgroundCapturing Chromosome Conformation
Dekker, J., Rippe, K., Dekker, M., & Kleckner, N. (2002) · Science · doi:10.1126/science.1067799 · Cited by 3,652
Flagged first, then by citations
2 of the 123 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 301–400 of 605
Girgis, H. Z., & Ovcharenko, I. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-25 · Cited by 22
Favorable genomic environments for cis-regulatory evolution: A novel theoretical framework
Maeso, I., & Tena, J. J. (2015) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2015.12.003 · Cited by 25
The genome-wide transcriptional regulatory landscape of ecdysone in the silkworm
Cheng, D., Cheng, T., Yang, X., Zhang, Q., Fu, J., Feng, T., Gong, J., & Xia, Q. (2018) · Epigenetics & Chromatin · doi:10.1186/s13072-018-0216-y · Cited by 22
Ji, P., Ding, D.-S., Qin, N., Wang, C., Zhu, M., Li, Y., Dai, J., Jin, G., Hu, Z., Shen, H., et al. (2019) · Journal of Cancer · doi:10.7150/jca.35127 · Cited by 22
Mills, C., Muruganujan, A., Ebert, D., Marconett, C. N., Lewinger, J. P., Thomas, P. D., & Mi, H. (2020) · PLoS ONE · doi:10.1371/journal.pone.0243791 · Cited by 22
Butt, A. H., Alkhalifah, T., Alturise, F., & Khan, Y. D. (2022) · Scientific Reports · doi:10.1038/s41598-022-19099-3 · Cited by 21
Comparative transgenic analysis of enhancers from the human SHOX and mouse Shox2 genomic regions
Rosin, J. M., Abassah‐Oppong, S., & Cobb, J. A. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt163 · Cited by 22
Zhao, M., Shao, N., Hu, S., Ma, N., Srinivasan, R., Jahanbani, F., Lee, J., Zhang, S., Snyder, M. P., & Wu, J. C. (2017) · Circulation Research · doi:10.1161/circresaha.117.311367 · Cited by 21
Evolution and Genetic Architecture of Chromatin Accessibility and Function in Yeast
Connelly, C. F., Wakefield, J., & Akey, J. M. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004427 · Cited by 22
A liver enhancer in the fibrinogen gene cluster
Fort, A., Fish, R. J., Attanasio, C., Dosch, R., Visel, A., & Neerman‐Arbez, M. (2010) · Blood · doi:10.1182/blood-2010-07-295410 · Cited by 21
Self-citationMolecular basis of FAAH-OUT -associated human pain insensitivity
Mikaeili, H., Habib, A. M., Yeung, C., Santana‐Varela, S., Luiz, A. P., Panteleeva, K., Zuberi, S. R., Athanasiou‐Fragkouli, A., Houlden, H., Wood, J. N., et al. (2023) · Brain · doi:10.1093/brain/awad098 · Cited by 20
Lyne, M., Smith, R. N., Lyne, R., Aleksic, J., Hu, F., Kalderimis, A., Štěpán, R., & Micklem, G. (2013) · Database · doi:10.1093/database/bat060 · Cited by 20
Tahir, M., Hayat, M., & Khan, S. A. (2017) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-017-2818-2 · Cited by 20
Shaffer, J. R., LeClair, J., Carlson, J. C., Feingold, E., Buxó, C. J., Christensen, K., Deleyiannis, F. W. ‐., Field, L. L., Hecht, J. T., Moreno, L. M., et al. (2018) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.61002 · Cited by 20
Usera, A. D.-D., Lorenzo-Salazar, J. M., Rubio‐Rodríguez, L. A., Muñoz‐Barrera, A., Guillén‐Guío, B., Marcelino-Rodríguez, I., García‐Olivares, V., Mendoza-Álvarez, A., Corrales, A., Íñigo-Campos, A., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9113656 · Cited by 20
Almamun, M., Kholod, O., Stuckel, A. J., Levinson, B. T., Johnson, N. T., Arthur, G. L., Davis, J. W., & Taylor, K. H. (2017) · Leukemia & lymphoma/Leukemia and lymphoma · doi:10.1080/10428194.2016.1272683 · Cited by 20
Vijayabaskar, M. S., Goode, D. K., Obier, N., Lichtinger, M., Emmett, A., Abidin, F. N. Z., Shar, N. A., Hannah, R., Assi, S. A., Lie‐A‐Ling, M., et al. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007337 · Cited by 19
Deciphering cis -regulatory control in inflammatory cells
Ghisletti, S., & Natoli, G. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2012.0370 · Cited by 19
Blankvoort, S., Descamps, L. A. L., & Kentros, C. G. (2020) · Neuroscience Research · doi:10.1016/j.neures.2020.01.009 · Cited by 19
Moorthy, S. D., & Mitchell, J. A. (2016) · Journal of Visualized Experiments · doi:10.3791/53552 · Cited by 24
Identification of a novel endogenous long non-coding RNA that inhibits selenoprotein P translation
Mita, Y., Uchida, R., Yasuhara, S., Kishi, K., Hoshi, T., Matsuo, Y., Yokooji, T., Shirakawa, Y., Toyama, T., Urano, Y., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab498 · Cited by 19
A Review of the Role of Electronic Health Record in Genomic Research
Krishnamoorthy, P. M., Gupta, D., Chatterjee, S., Huston, J., & Ryan, J. J. (2014) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-014-9586-0 · Cited by 18
Enhancer reprogramming underlies therapeutic utility of a SMARCA2 degrader in SMARCA4 mutant cancer
Kotagiri, S., Blazanin, N., Xi, Y., Han, Y., Qudratullah, M., Liang, X., Wang, Y., Pandey, P., Mazhar, H., Lam, T., et al. (2024) · Cell chemical biology · doi:10.1016/j.chembiol.2024.09.004 · Cited by 18
Common predisposition alleles for moderately common cancers: bladder cancer
Kiltie, A. E. (2010) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2010.01.002 · Cited by 18
Chen, X. X., Jung, J.-G., Shajahan‐Haq, A. N., Clarke, R. C., Shih, I., Wang, Y., Magnani, L., Wang, T., & Xuan, J. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1491 · Cited by 18
Craig, R. J., Suh, A., Mi, W., & Ellegren, H. (2017) · Molecular Ecology · doi:10.1111/mec.14462 · Cited by 18
Dynamic Interactions of Transcription Factors and Enhancer Reprogramming in Cancer Progression
Zboril, E. K., Yoo, H., Chen, L., & Liu, Z. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.753051 · Cited by 19
Erickson, R. P., Yatsenko, S. A., Larson, K., & Cheung, S. W. (2010) · Molecular Syndromology · doi:10.1159/000321957 · Cited by 18
NF-κB and BRG1 bind a distal regulatory element in the IL-3/GM-CSF locus
Wurster, A. L., Precht, P., & Pazin, M. J. (2011) · Molecular Immunology · doi:10.1016/j.molimm.2011.07.016 · Cited by 18
Discovery and Characterization of Human Exonic Transcriptional Regulatory Elements
Khan, A. H., Lin, A., & Smith, D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046098 · Cited by 18
Shen, J., Li, Z., Song, Z., Chen, J., & Shi, Y. (2017) · International Journal of Cancer · doi:10.1002/ijc.30622 · Cited by 17
Limits of sequence and functional conservation
Pennacchio, L. A., & Visel, A. (2010) · Nature Genetics · doi:10.1038/ng0710-557 · Cited by 17
Self-citationEmergence and Evolution of Hominidae-Specific Coding and Noncoding Genomic Sequences
Saber, M. M., Babarinde, I. A., Hettiarachchi, N., & Saitou, N. (2016) · Genome Biology and Evolution · doi:10.1093/gbe/evw132 · Cited by 17
Li, P., Shi, M., Shen, W., Zhang, Z., Xie, D., Zhang, X.-Y., He, C., Zhang, Y., & Zhao, Z. (2017) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2017.05.003 · Cited by 17
(Epi)genomic heterogeneity of pancreatic islet function and failure in type 2 diabetes
Lawlor, N. T., & Stitzel, M. L. (2019) · Molecular Metabolism · doi:10.1016/j.molmet.2019.06.002 · Cited by 18
The Causes and Consequences of Spatial Organization of the Genome in Regulation of Gene Expression
Agelopoulos, M., Foutadakis, S., & Thanos, D. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.682397 · Cited by 19
Hyndman, B. D., Thompson, P., Bayly, R., Côté, G. P., & LeBrun, D. P. (2012) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2012.02.009 · Cited by 17
Warnefors, M., & Eyre‐Walker, A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034935 · Cited by 17
Guerra, M., Medici, V., Sala, G. L., & Farini, D. (2024) · Cells · doi:10.3390/cells13141176 · Cited by 18
Biological roles of enhancer RNA m6A modification and its implications in cancer
Han, Y., Sun, J., Yao, M., Miao, L., & Li, M. (2025) · Cell Communication and Signaling · doi:10.1186/s12964-025-02254-4 · Cited by 19
Seq2pathway: an R/Bioconductor package for pathway analysis of next-generation sequencing data
Wang, B., Cunningham, J. M., & Yang, X. H. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv289 · Cited by 16
Haque, F., Honjo, T., & Begum, N. A. (2022) · Science Advances · doi:10.1126/sciadv.add1466 · Cited by 18
Lu, Y., Zhou, Y., & Tian, W. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt785 · Cited by 15
TRACER: a resource to study the regulatory architecture of the mouse genome
Chen, C.-K., Symmons, O., Uslu, V. V., Tsujimura, T., Ruf, S., Smedley, D. P., & Spitz, F. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-215 · Cited by 16
Natsume, A., Hirano, M., Ranjit, M., Aoki, K., & Wakabayashi, T. (2019) · Neurologia medico-chirurgica · doi:10.2176/nmc.ra.2019-0049 · Cited by 15
Kim, C., & Kültz, D. (2020) · Scientific Reports · doi:10.1038/s41598-020-69090-z · Cited by 16
Diverse logics and grammar encode notochord enhancers
Song, B. P., Ragsac, M. F., Tellez, K., Jindal, G. A., Grudzien, J. L., Le, S. H., & Farley, E. K. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112052 · Cited by 15
Birkhoff, J. C., Brouwer, R. W. W., Kolovos, P., Korporaal, A. L., Bermejo-Santos, A., Boltsis, I., Nowosad, K., van den Hout, M. C. G. N., Grosveld, F. G., van IJcken, W. F. J., et al. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa141 · Cited by 15
Khateb, M., Perovanović, J., Ko, K. D., Jiang, K., Feng, X., Acevedo-Luna, N., Chal, J., Ciuffoli, V., Genzor, P., Simone, J., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111219 · Cited by 14
The noncoding human genome and the future of personalised medicine
Cowie, P., Hay, E. A., & MacKenzie, A. (2015) · Expert Reviews in Molecular Medicine · doi:10.1017/erm.2014.23 · Cited by 14
Human Enhancers Are Fragile and Prone to Deactivating Mutations
Li, S., & Ovcharenko, I. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msv118 · Cited by 14
Sano, R., Nakajima, T., Takahashi, K., Kubo, R., Yazawa, S., & Kominato, Y. (2010) · Legal Medicine · doi:10.1016/j.legalmed.2010.10.001 · Cited by 14
Genetic variations and alternative splicing: the Glioma associated oncogene 1, GLI1
Zaphiropoulos, P. G. (2012) · Frontiers in Genetics · doi:10.3389/fgene.2012.00119 · Cited by 14
Nedelkova, M., Maresca, M., Fu, J., Rostovskaya, M., Chenna, R., Thiede, C., Anastassiadis, K., Sarov, M., & Stewart, A. F. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr668 · Cited by 14
Keller, B. J., Martini, S., Sedor, J. R., & Kretzler, M. (2010) · Seminars in Nephrology · doi:10.1016/j.semnephrol.2010.01.008 · Cited by 14
Connecting Transcriptional Control to Chromosome Structure and Human DiseasePreprint
Newman, J. J., & Young, R. A. (2010) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2010.75.016 · Cited by 14
The broken Alzheimer’s disease genome
Roque, C. G., Phatnani, H. P., & Hengst, U. (2024) · Cell Genomics · doi:10.1016/j.xgen.2024.100555 · Cited by 13
Malt, A. L., Cesario, J. M., Tang, Z., Brown, S. M., & Jeong, J. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m114.592014 · Cited by 13
Saito, S., & Suzuki, T. (2020) · Development Growth & Differentiation · doi:10.1111/dgd.12682 · Cited by 13
Epigenomics-based identification of oestrogen-regulated long noncoding RNAs in ER+ breast cancer
Zhang, Z., Yu, W., Tang, D., Zhou, Y., Bi, M., Wang, H., Zheng, Y., Chen, M., Li, L., Xu, X., et al. (2020) · RNA Biology · doi:10.1080/15476286.2020.1777769 · Cited by 13
Salviato, E., Djordjilović, V., Hariprakash, J. M., Tagliaferri, I., Pal, K., & Ferrari, F. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab547 · Cited by 13
Cis-Regulatory Control of Mammalian Sex Determination
Ridnik, M., Schoenfelder, S., & Gonen, N. (2021) · Sexual Development · doi:10.1159/000519244 · Cited by 14
Rogers, W. A., & Williams, T. M. (2011) · Journal of Visualized Experiments · doi:10.3791/3395 · Cited by 14
Monte Carlo Null Models for Genomic Data
Ferkingstad, E., Holden, L., & Sandve, G. K. (2015) · Statistical Science · doi:10.1214/14-sts484 · Cited by 13
Form and function of dosage‐compensated chromosomes – a chicken‐and‐egg relationship
Grimaud, C., & Becker, P. B. (2010) · BioEssays · doi:10.1002/bies.201000029 · Cited by 13
Decoding transcriptional enhancers: Evolving from annotation to functional interpretation
Engel, K. L., Mackiewicz, M., Hardigan, A. A., Myers, R., & Savic, D. (2016) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2016.05.014 · Cited by 13
Transcriptional control of transglutaminase 2 expression in mouse apoptotic thymocytes
Sándor, K., Dániel, B., Kiss, B., Kovács, F., & Szondy, Z. (2016) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2016.05.011 · Cited by 13
Im, C., Ness, K. K., Kaste, S. C., Chemaitilly, W., Moon, W., Sapkota, Y., Brooke, R. J., Hudson, M. M., Robison, L. L., Yasui, Y., et al. (2018) · European Journal of Human Genetics · doi:10.1038/s41431-017-0050-x · Cited by 13
Jiang, T., Ling, Z., Zhou, Z., Chen, X., Chen, L., Liu, S., Sun, Y., Yang, J., Yang, B. J., Huang, J., et al. (2022) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-022-00767-3 · Cited by 12
Cancer Specificity of Promoters of the Genes Controlling Cell Proliferation
Кашкин, К. Н., Чернов, И. П., Stukacheva, E. A., MONASTYRSKAYA, G. S., Uspenskaya, N. Y., Kopantzev, E. P., & Sverdlov, E. D. (2014) · Journal of Cellular Biochemistry · doi:10.1002/jcb.24968 · Cited by 12
Tarchini, B., Longo-Guess, C. M., Tian, C., Tadenev, A. L. D., Devanney, N. A., & Johnson, K. R. (2018) · Developmental Biology · doi:10.1016/j.ydbio.2018.09.011 · Cited by 13
Tamaki, T., Yoshida, T., Shibata, E., Nishihara, H., Ochi, H., & Kawakami, A. (2023) · Biology Open · doi:10.1242/bio.059810 · Cited by 11
Zou, M., Jiang, D., Wu, T., Zhang, X., Zhao, Y., Wu, D., Sun, W., Cui, J., Moreland, L. W., & Li, G. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab032 · Cited by 11
Chen, Q., Dai, J., & Bian, Q. (2022) · Science Advances · doi:10.1126/sciadv.abo3648 · Cited by 11
Gutierrez, M. E. C., Hill, M. C., Largoza, G. E., Gillespie, W. B., Martin, J. F., & Wythe, J. D. (2025) · Nature Cardiovascular Research · doi:10.1038/s44161-025-00618-0 · Cited by 11
Feng, Z., & Li, Q. (2017) · Genomics · doi:10.1016/j.ygeno.2017.05.009 · Cited by 11
Targeting transcriptional machinery to inhibit enhancer-driven gene expression in heart failure
Minerath, R. A., Hall, D. D., & Grueter, C. E. (2019) · Heart Failure Reviews · doi:10.1007/s10741-019-09792-3 · Cited by 12
Blümel, R., Zink, M., Klopocki, E., & Liedtke, D. (2019) · PLoS ONE · doi:10.1371/journal.pone.0218286 · Cited by 12
Cibulka, M., Brodňanová, M., Grendár, M., Grofik, M., Kurča, E., Pilchová, I., Osina, O., Tatarková, Z., Dobrota, D., & Kolísek, M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20194688 · Cited by 11
Identification of novel Fgf enhancers and their role in dental evolution
Tapaltsyan, V., Charles, C., Hu, J., Mindell, D. P., Ahituv, N., Wilson, G. M., Black, B. L., Viriot, L., & Klein, O. D. (2015) · Evolution & Development · doi:10.1111/ede.12132 · Cited by 11
Regulatory genomics: Combined experimental and computational approaches
Ignatieva, E. V., Podkolodnaya, O. A., Orlov, Y. L., Vasiliev, G. V., & Kolchanov, N. A. (2015) · Russian Journal of Genetics · doi:10.1134/s1022795415040067 · Cited by 10
Integration of genomic and functional approaches reveals enhancers at LMX1A and LMX1B
Burzynski, G. M., Reed, X., Maragh, S., Matsui, T., & McCallion, A. S. (2013) · Molecular Genetics and Genomics · doi:10.1007/s00438-013-0771-7 · Cited by 10
Cho, K. W. Y. (2012) · Wiley Interdisciplinary Reviews Developmental Biology · doi:10.1002/wdev.53 · Cited by 10
Integrative Approaches for Microarray Data Analysis
Waldron, L., Coller, H. A., & Huttenhower, C. (2011) · Methods in molecular biology · doi:10.1007/978-1-61779-400-1_11 · Cited by 9
Naval-Sánchez, M., Potier, D., Hulselmans, G. J., Christiaens, V., & Aerts, S. (2015) · Molecular Biology and Evolution · doi:10.1093/molbev/msv107 · Cited by 9
Early developmental gene enhancers affect subcortical volumes in the adult human brain
Becker, M., Guadalupe, T. M., Franke, B., Hibar, D. P., Rentería, M. E., Stein, J. L., Thompson, P. M., Francks, C., Vernes, S. C., & Fisher, S. E. (2016) · Human Brain Mapping · doi:10.1002/hbm.23136 · Cited by 9
Du, M., Jiao, S., Bien, S. A., Gala, M. K., Abecasis, G. R., Bezieau, S., Brenner, H., Butterbach, K., Caan, B. J., Carlson, C. S., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0157521 · Cited by 9
A synthetic synthesis to explore animal evolution and development
Perkins, M. L., Gándara, L., & Crocker, J. (2022) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2020.0517 · Cited by 9
Predicting promoter activities of primary human DNA sequences
Irie, T., Park, S., Yamashita, R., Seki, M., Yada, T., Sugano, S., Nakai, K., & Suzuki, Y. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr173 · Cited by 9
3CDB: a manually curated database of chromosome conformation capture data
Yun, X., Xia, L., Tang, B., Zhang, H., Li, F., & Zhang, Z. (2016) · Database · doi:10.1093/database/baw044 · Cited by 10
Discovery platform for inhibitors of IgH gene enhancer activity
Dolloff, N. G. (2018) · Cancer Biology & Therapy · doi:10.1080/15384047.2018.1538615 · Cited by 10
Geng, F., Ma, J., Li, X., Hu, Z., & Zhang, R. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22083945 · Cited by 10
EnhancerP-2L: A Gene regulatory site identification tool for DNA enhancer region using CREs motifsPreprint
Butt, A. H., Alkhalaf, S., Iqbal, S., & Khan, Y. D. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.20.912451 · Cited by 9
Quantitative omnigenic model discovers interpretable genome-wide associations
Ružičková, N., Hledík, M., & Tkačik, G. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2402340121 · Cited by 8
Lert-itthiporn, W., Suktitipat, B., Grove, H., Sakuntabhai, A., Malasit, P., Tangthawornchaikul, N., Matsuda, F., & Suriyaphol, P. (2018) · BMC Medical Genetics · doi:10.1186/s12881-018-0534-8 · Cited by 8
Multi-layered transcriptional control of cranial neural crest development
Candido-Ferreira, I., Lukoseviciute, M., & Sauka‐Spengler, T. (2022) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2022.07.010 · Cited by 8
Yang, X. H., Wang, B., & Cunningham, J. M. (2015) · BMC Medical Genomics · doi:10.1186/1755-8794-8-s2-s6 · Cited by 8
Functional analysis of HapMap SNPs
Liu, C., Lin, H., & Lin, H. (2012) · Gene · doi:10.1016/j.gene.2012.09.075 · Cited by 8
Enhancer Chip: Detecting Human Copy Number Variations in Regulatory Elements
Savarese, M., Piluso, G., Orteschi, D., Fruscio, G. D., Dionisi, M., Blanco, F. D. V., Torella, A., Giugliano, T., Iacomino, M., Zollino, M., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0052264 · Cited by 8
Scott‐Boyer, M., & Deschepper, C. F. (2013) · G3 Genes Genomes Genetics · doi:10.1534/g3.113.005546 · Cited by 8
Metadata
- Authors
- Visel, A., Rubin, E. M., & Pennacchio, L. A.
- Affiliations
- Lawrence Berkeley National Laboratory (US)
- Venue
- Nature
- Published
- 2009-09
- Volume
- 461
- Issue
- 7261
- Pages
- 199-205
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC2923221
- OpenAlex
- W2048263136
- Cited by
- 610
- References
- 123
- Citations by year
- 2026: 8 · 2025: 18 · 2024: 16 · 2023: 26 · 2022: 37 · 2021: 30 · 2020: 36 · 2019: 39 · 2018: 30 · 2017: 34 · 2016: 39 · 2015: 49 · 2014: 48 · 2013: 49 · 2012: 55
- FWCI
- 3.85
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R21HL098940, U01HL066681)
- National Human Genome Research Institute (R01HG003988)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Keywords
- enhancers, enhancer function, genome-wide association study, disease susceptibility, human disease genetics
- MeSH terms
- Animals, Enhancer Elements, Genetic, Gene Expression Regulation, Humans, Genome, Human, Evolution, Molecular, Genetic Predisposition to Disease, Genomics
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