Combinatorial effects of multiple enhancer variants in linkage disequilibrium dictate levels of gene expression to confer susceptibility to common traits
Open accessAbstract
DNA variants (SNPs) that predispose to common traits often localize within noncoding regulatory elements such as enhancers. Moreover, loci identified by genome-wide association studies (GWAS) often contain multiple SNPs in linkage disequilibrium (LD), any of which may be causal. Thus, determining the effect of these multiple variant SNPs on target transcript levels has been a major challenge. Here, we provide evidence that for six common autoimmune disorders (rheumatoid arthritis, Crohn's disease, celiac disease, multiple sclerosis, lupus, and ulcerative colitis), the GWAS association arises from multiple polymorphisms in LD that map to clusters of enhancer elements active in the same cell type. This finding suggests a “multiple enhancer variant” hypothesis for common traits, where several variants in LD impact multiple enhancers and cooperatively affect gene expression. Using a novel method to delineate enhancer–gene interactions, we show that multiple enhancer variants within a given locus typically target the same gene. Using available data from HapMap and B lymphoblasts as a model system, we provide evidence at numerous loci that multiple enhancer variants cooperatively contribute to altered expression of their gene targets. The effects on target transcript levels tend to be modest and can be either gain- or loss-of-function. Additionally, the genes associated with multiple enhancer variants encode proteins that are often functionally related and enriched in common pathways. Overall, the multiple enhancer variant hypothesis offers a new paradigm by which noncoding variants can confer susceptibility to common traits.
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If multiple GWAS hits exist in the same module, their cumulative presence can significantly contribute to disease development.
“If multiple Genome-Wide Association Study (GWAS) hits exist in the same module, their cumulative presence can significantly contribute to disease development [120, 163, 164].”
From Gene co-expression analysis for functional classification and gene–disease predictions (2017) · cites this paper as [164]
The Results section (‘Common disease loci often involve multiple enhancer variants in LD’; page unavailable) proposes that multiple variants at one GWAS locus collectively contribute to the association signal and predisposition to common disease. The paper does not establish the broader claim about multiple GWAS hits in the same module: its finding concerns variants in linkage disequilibrium affecting enhancers of the same gene. (LLM, conf=0.85)
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Cites
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041 · see citing works
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607 · see citing works
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386 · see citing works
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556 · see citing works
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382 · see citing works
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,477 · see citing works
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223 · see citing works
A second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438 · see citing works
Systematic Localization of Common Disease-Associated Variation in Regulatory DNA
Maurano, M. T., Humbert, R., Rynes, E., Thurman, R. E., Haugen, E., Wang, H., Reynolds, A. P., Sandstrom, R., Qu, H., Brody, J., et al. (2012) · Science · doi:10.1126/science.1222794 · Cited by 3,716 · see citing works
Goecks, J., Nekrutenko, A., Taylor, J., & The Galaxy Team (2010) · Genome biology · doi:10.1186/gb-2010-11-8-r86 · Cited by 3,437 · see citing works
Integrating common and rare genetic variation in diverse human populations
The International HapMap 3 Consortium (2010) · Nature · doi:10.1038/nature09298 · Cited by 3,026 · see citing works
Mapping and analysis of chromatin state dynamics in nine human cell types
Ernst, J., Kheradpour, P., Mikkelsen, T. S., Shoresh, N., Ward, L. D., Epstein, C. B., Zhang, X., Wang, L., Issner, R., Coyne, M., et al. (2011) · Nature · doi:10.1038/nature09906 · Cited by 2,898 · see citing works
The accessible chromatin landscape of the human genome
Thurman, R. E., Rynes, E., Humbert, R., Vierstra, J., Maurano, M. T., Haugen, E., Sheffield, N. C., Stergachis, A. B., Wang, H., Vernot, B., et al. (2012) · Nature · doi:10.1038/nature11232 · Cited by 2,679 · see citing works
A unique chromatin signature uncovers early developmental enhancers in humans
Rada-Iglesias, A., Bajpai, R., Swigut, T., Brugmann, S. A., Flynn, R. A., & Wysocka, J. (2011) · Nature · doi:10.1038/nature09692 · Cited by 2,233 · see citing works
Galaxy: a platform for interactive large-scale genome analysis.Preprint
Giardine, B., Riemer, C., Hardison, R., Burhans, R. C., Elnitski, L., Shah, P., Zhang, Y., Blankenberg, D., Albert, I., Taylor, J., et al. (2005) · Genome Research · doi:10.1101/gr.4086505 · Cited by 2,217 · see citing works
The NIH Roadmap Epigenomics Mapping Consortium
Bernstein, B. E., Stamatoyannopoulos, J. A., Costello, J. F., Ren, B., Milosavljevic, A., Meissner, A., Kellis, M., Marra, M. A., Beaudet, A. L., Ecker, J. R., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt1010-1045 · Cited by 1,892 · see citing works
Identifying a High Fraction of the Human Genome to be under Selective Constraint Using GERP++
Davydov, E. V., Goode, D. L., Sirota, M., Cooper, G. M., Sidow, A., & Batzoglou, S. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001025 · Cited by 1,757 · see citing works
The 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 · see citing works
Galaxy: A Web‐Based Genome Analysis Tool for Experimentalists
Blankenberg, D. J., Kuster, G. V., Coraor, N., Ananda, G., Lazarus, R. M., Mangan, M. E., Nekrutenko, A., & Taylor, J. (2010) · Current Protocols in Molecular Biology · doi:10.1002/0471142727.mb1910s89 · Cited by 1,430 · see citing works
A map of the cis-regulatory sequences in the mouse genome
Shen, Y., Yue, F., McCleary, D. F., Ye, Z., Edsall, L., Kuan, S., Wagner, U., Dixon, J., Lee, L., Lobanenkov, V. V., et al. (2012) · Nature · doi:10.1038/nature11243 · Cited by 1,361 · cited 1× · see citing works
“…given cell type contains ;75,000 H3K4me1 sites, and these putative enhancers can be located considerably far upstream of or downstream from the gene whose expression they influence, and can even influence the expression of multiple target genes (Spilianakis and Flavell 2004; Vernimmen et al. 2009).”
BackgroundUnderstanding mechanisms underlying human gene expression variation with RNA sequencing
Pickrell, J. K., Marioni, J. C., Pai, A. A., Degner, J. F., Engelhardt, B. E., Nkadori, E., Veyrieras, J.-B., Stephens, M., Gilad, Y., & Pritchard, J. K. (2010) · Nature · doi:10.1038/nature08872 · Cited by 1,256 · see citing works
Li, G., Ruan, X., Auerbach, R. K., Sandhu, K. S., Zheng, M., Wang, P., Poh, H. M., Goh, Y., Lim, J., Zhang, J., et al. (2012) · Cell · doi:10.1016/j.cell.2011.12.014 · Cited by 1,232 · see citing works
Population genomics of human gene expression
Stranger, B. E., Nica, A. C., Forrest, M. S., Dimas, A. S., Bird, C., Beazley, C., Ingle, C., Dunning, M., Flicek, P., Koller, D., et al. (2007) · Nature Genetics · doi:10.1038/ng2142 · Cited by 1,132 · see citing works
Mapping the Genetic Architecture of Gene Expression in Human Liver
Schadt, E. E., Molony, C. M., Chudin, E., Hao, K., Yang, X., Lum, P. Y., Kasarskis, A., Zhang, B., Wang, S. S.-M., Suver, C., et al. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060107 · Cited by 909 · see citing works
An Abundance of Ubiquitously Expressed Genes Revealed by Tissue Transcriptome Sequence Data
Ramsköld, D., Wang, E. T., Burge, C. B., & Sandberg, R. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000598 · Cited by 820 · see citing works
Transcriptome genetics using second generation sequencing in a Caucasian population
Montgomery, S. B., Sammeth, M., Gutierrez-Arcelus, M., Lach, R. P., Ingle, C., Nisbett, J., Guigo, R., & Dermitzakis, E. T. (2010) · Nature · doi:10.1038/nature08903 · Cited by 797 · see citing works
Linking disease associations with regulatory information in the human genomePreprint
Schaub, M. A., Boyle, A. P., Kundaje, A. B., Batzoglou, S., & Snyder, M. P. (2012) · Genome Research · doi:10.1101/gr.136127.111 · Cited by 715 · see citing works
The 8q24 cancer risk variant rs6983267 shows long-range interaction with MYC in colorectal cancer
Pomerantz, M. M., Ahmadiyeh, N., Jia, L., Herman, P., Verzi, M. P., Doddapaneni, H., Beckwith, C. A., Chan, J. A., Hills, A., Davis, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.403 · Cited by 663 · see citing works
CHD7 cooperates with PBAF to control multipotent neural crest formation
Bajpai, R., Chen, D. A., Rada-Iglesias, Á., Zhang, J., Xiong, Y., Helms, J. A., Chang, C., Zhao, Y., Swigut, T., & Wysocka, J. (2010) · Nature · doi:10.1038/nature08733 · Cited by 611 · see citing works
Genomic views of distant-acting enhancers
Visel, A., Rubin, E. M., & Pennacchio, L. A. (2009) · Nature · doi:10.1038/nature08451 · Cited by 610 · see citing works
Chromatin marks identify critical cell types for fine mapping complex trait variants
Trynka, G., Sandor, C., Han, B., Xu, H., Stranger, B. E., Liu, X. S., & Raychaudhuri, S. (2013) · Nature Genetics · doi:10.1038/ng.2504 · Cited by 580 · see citing works
Epigenetic signatures distinguish multiple classes of enhancers with distinct cellular functions
Zentner, G. E., Tesar, P. J., & Scacheri, P. C. (2011) · Genome Research · doi:10.1101/gr.122382.111 · Cited by 564 · see citing works
Self-citationFrom evolutionary genetics to human immunology: how selection shapes host defence genes
Barreiro, L. B., & Quintana‐Murci, L. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2698 · Cited by 556 · see citing works
Long-range intrachromosomal interactions in the T helper type 2 cytokine locus
Spilianakis, C. G., & Flavell, R. A. (2004) · Nature Immunology · doi:10.1038/ni1115 · Cited by 425 · see citing works
Sallari, R. C., Zhang, X., Wright, J. B., Bailey, S. D., Cole, M. D., Eeckhoute, J., Moore, J. H., & Lupien, M. (2012) · Nature Genetics · doi:10.1038/ng.2416 · Cited by 349 · see citing works
Self-citationEpigenomic Enhancer Profiling Defines a Signature of Colon Cancer
Akhtar‐Zaidi, B., Sallari, R. C., Corradin, O., Saiakhova, A., Bartels, C. F., Balasubramanian, D., Myeroff, L. L., Lutterbaugh, J., Jarrar, A., Kalady, M. F., et al. (2012) · Science · doi:10.1126/science.1217277 · Cited by 337 · see citing works
Self-citationCHD7 Targets Active Gene Enhancer Elements to Modulate ES Cell-Specific Gene Expression
Schnetz, M. P., Handoko, L., Akhtar‐Zaidi, B., Bartels, C. F., Pereira, C., Fisher, A. G., Adams, D. J., Flicek, P., Crawford, G. E., LaFramboise, T., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001023 · Cited by 253 · see citing works
Self-citationGiorgetti, L., Siggers, T., Tiana, G., Caprara, G., Notarbartolo, S., Corona, T., Pasparakis, M., Milani, P., Bulyk, M. L., & Natoli, G. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.01.016 · Cited by 176 · see citing works
ETS transcription factors and regulation of immunity
Gallant, S., & Gilkeson, G. S. (2006) · Archivum Immunologiae et Therapiae Experimentalis · doi:10.1007/s00005-006-0017-z · Cited by 163 · see citing works
Integrative model of genomic factors for determining binding site selection by estrogen receptor‐α
Joseph, R., Orlov, Y. L., Huss, M., Sun, W., Kong, S. L., Ukil, L., Pan, Y. F., Li, G., Lim, M., Thomsen, J. S., et al. (2010) · Molecular Systems Biology · doi:10.1038/msb.2010.109 · Cited by 153 · see citing works
Zhang, X., Sallari, R. C., Bailey, S. D., Moore, J. H., & Lupien, M. (2012) · Genome Research · doi:10.1101/gr.135665.111 · Cited by 121 · see citing works
Self-citationThe RNA Pol II Elongation Factor Ell3 Marks Enhancers in ES Cells and Primes Future Gene Activation
Lin, C., Garruss, A. S., Luo, Z., Guo, F., & Shilatifard, A. (2012) · Cell · doi:10.1016/j.cell.2012.12.015 · Cited by 92 · see citing works
Vernimmen, D., Marques-Kranc, F., Sharpe, J. A., Sloane-Stanley, J. A., Wood, W. G., Wallace, H. A. C., Smith, A. J. H., & Higgs, D. R. (2009) · Blood · doi:10.1182/blood-2009-03-213439 · Cited by 89 · see citing works
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Michailidou, K., Lindström, S., Dennis, J., Beesley, J., Hui, S., Kar, S., Lemaçon, A., Soucy, P., Glubb, D. M., Rostamianfar, A., et al. (2017) · Nature · doi:10.1038/nature24284 · Cited by 1,380 · see citing works
Gene co-expression analysis for functional classification and gene–disease predictions
van Dam, S., Võsa, U., van der Graaf, A., Franke, L., & de Magalhães, J. P. (2017) · Briefings in Bioinformatics · doi:10.1093/bib/bbw139 · Cited by 1,086 · see citing works
The Post-GWAS Era: From Association to Function
Gallagher, M. D., & Chen-Plotkin, A. S. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.04.002 · Cited by 822 · see citing works
Pott, S., & Lieb, J. D. (2014) · Nature Genetics · doi:10.1038/ng.3167 · Cited by 745 · see citing works
Hijacked in cancer: the MLL/KMT2 family of methyltransferases
Rao, R., & Dou, Y. (2015) · Nature Reviews. Cancer · doi:10.1038/nrc3929 · Cited by 558 · see citing works
Systematic mapping of functional enhancer–promoter connections with CRISPR interference
Fulco, C. P., Munschauer, M., Anyoha, R., Munson, G., Grossman, S. R., Perez, E. M., Kane, M., Cleary, B., Lander, E. S., & Engreitz, J. M. (2016) · Science · doi:10.1126/science.aag2445 · Cited by 643 · see citing works
BOCS, Michailidou, K., kConFab Investigators, AOCS Group, NBCS, GENICA Network, Beesley, J., Lindström, S., Canisius, S., Dennis, J., et al. (2015) · Nature Genetics · doi:10.1038/ng.3242 · Cited by 593 · see citing works
Shared genetic origin of asthma, hay fever and eczema elucidates allergic disease biology
23andMe Research Team, Ferreira, M. A., collaborators, A., BIOS consortium, Study, L. C., Vonk, J. M., Baurecht, H., Marenholz, I., Tian, C., Hoffman, J. D., et al. (2017) · Nature Genetics · doi:10.1038/ng.3985 · Cited by 550 · see citing works
Discovery of common and rare genetic risk variants for colorectal cancer
Huyghe, J. R., Bien, S. A., Harrison, T. A., Kang, H. M., Chen, S., Schmit, S. L., Conti, D. V., Qu, C., Jeon, J., Edlund, C. K., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0286-6 · Cited by 530 · see citing works
Zhang, H., Ahearn, T. U., Lecarpentier, J., Barnes, D. R., Beesley, J., Jiang, X., O’Mara, T. A., Qi, G., Zhao, N., Bolla, M. K., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0609-2 · Cited by 484 · see citing works
Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer
ABCTB Investigators, Milne, R. L., EMBRACE, Collaborators, G. S., HEBON, kConFab/AOCS Investigators, Collaborators, N., Kuchenbaecker, K. B., Michailidou, K., Beesley, J., et al. (2017) · Nature Genetics · doi:10.1038/ng.3785 · Cited by 412 · see citing works
Regulatory genomic circuitry of human disease loci by integrative epigenomics
Boix, C. A., James, B. T., Park, Y., Meuleman, W. R. A., & Kellis, M. (2021) · Nature · doi:10.1038/s41586-020-03145-z · Cited by 384 · see citing works
The Genetics of Transcription Factor DNA Binding Variation
Deplancke, B., Alpern, D., & Gardeux, V. (2016) · Cell · doi:10.1016/j.cell.2016.07.012 · Cited by 390 · see citing works
Tak, Y. G., & Farnham, P. (2015) · Epigenetics & Chromatin · doi:10.1186/s13072-015-0050-4 · Cited by 342 · see citing works
Preferential Iron Trafficking Characterizes Glioblastoma Stem-like Cells
Schonberg, D. L., Miller, T. E., Wu, Q., Flavahan, W. A., Das, N. K., Hale, J. S., Hubert, C. G., Mack, S. C., Jarrar, A., Karl, R. T., et al. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.09.002 · Cited by 347 · see citing works
Systematic Functional Dissection of Common Genetic Variation Affecting Red Blood Cell Traits
Ulirsch, J. C., Nandakumar, S. K., Wang, L., Giani, F. C., Zhang, X., Rogov, P., Melnikov, A., McDonel, P., Do, R., Mikkelsen, T. S., et al. (2016) · Cell · doi:10.1016/j.cell.2016.04.048 · Cited by 328 · see citing works
Arking, D. E., DCCT/EDIC, Pulit, S. L., Crotti, L., van der Harst, P., Munroe, P. B., Koopmann, T. T., Sotoodehnia, N., Rossin, E. J., Morley, M. P., et al. (2014) · Nature Genetics · doi:10.1038/ng.3014 · Cited by 317 · see citing works
Enhancer biology and enhanceropathies
Smith, E. R., & Shilatifard, A. (2014) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2784 · Cited by 310 · see citing works
Models of human core transcriptional regulatory circuitriesPreprint
Saint‐André, V., Alexander Joel Federation, Lin, C. Y., Abraham, B. J., Reddy, J., Lee, T. I., Bradner, J. E., & Young, R. A. (2016) · Genome Research · doi:10.1101/gr.197590.115 · Cited by 290 · see citing works
Global view of enhancer–promoter interactome in human cells
He, B., Chen, C., Teng, L., & Tan, K. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320308111 · Cited by 258 · see citing works
Autoimmune diseases — connecting risk alleles with molecular traits of the immune system
Gutiérrez‐Arcelus, M., Rich, S. S., & Raychaudhuri, S. (2015) · Nature Reviews Genetics · doi:10.1038/nrg.2015.33 · Cited by 254 · see citing works
Enhancer variants: evaluating functions in common disease
Corradin, O., & Scacheri, P. C. (2014) · Genome Medicine · doi:10.1186/s13073-014-0085-3 · Cited by 241 · see citing works
Self-citationIdentification of Novel Genetic Markers of Breast Cancer Survival
Guo, Q. J., Schmidt, M. K., Kraft, P., Canisius, S., Chen, C., Khan, S., Tyrer, J. P., Bolla, M. K., Wang, Q., Dennis, J., et al. (2015) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djv081 · Cited by 234 · see citing works
Modulation of long noncoding RNAs by risk SNPs underlying genetic predispositions to prostate cancer
Guo, H., Ahmed, M., Zhang, F., Yao, C. Q., Li, S., Liang, Y., Hua, J., Soares, F., Sun, Y., Langstein, J., et al. (2016) · Nature Genetics · doi:10.1038/ng.3637 · Cited by 226 · see citing works
Self-citationCao, Q., Anyansi, C., Hu, X. S., Xu, L., Xiong, L., Tang, W., Mok, M. T. S., Cheng, C., Fan, X., Gerstein, M., et al. (2017) · Nature Genetics · doi:10.1038/ng.3950 · Cited by 216 · see citing works
Collaborators, N., Wu, L., kConFab/AOCS Investigators, Shi, W., Long, J., Guo, X., Michailidou, K., Beesley, J., Bolla, M. K., Shu, X., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0132-x · Cited by 205 · see citing works
HBS1L-MYB intergenic variants modulate fetal hemoglobin via long-range MYB enhancers
Stadhouders, R., Aktuna, S., Thongjuea, S., Aghajanirefah, A., Pourfarzad, F., van IJcken, W. F. J., Lenhard, B., Rooks, H., Best, S., Menzel, S., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci71520 · Cited by 210 · see citing works
Genetic regulatory signatures underlying islet gene expression and type 2 diabetes
Varshney, A., Scott, L. J., Welch, R., Erdos, M. R., Chines, P. S., Narisu, N., Albanus, R. D., Orchard, P., Wolford, B. N., Kursawe, R., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1621192114 · Cited by 212 · see citing works
SEdb: a comprehensive human super-enhancer database
Jiang, Y., Qian, F., Bai, X., Liu, Y., Wang, Q., Ai, B., Han, X., Shi, S., Zhang, J., Li, X., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1025 · Cited by 209 · see citing works
Kar, S., Beesley, J., Olama, A. A. A., Michailidou, K., Tyrer, J. P., Kote‐Jarai, Z., Lawrenson, K., Lindström, S., Ramus, S. J., Thompson, D. J., et al. (2016) · Cancer Discovery · doi:10.1158/2159-8290.cd-15-1227 · Cited by 199 · see citing works
ZNF143 provides sequence specificity to secure chromatin interactions at gene promoters
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Self-citationMoorthy, S. D., Davidson, S., Shchuka, V. M., Singh, G., Malek-Gilani, N., Langroudi, L., Martchenko, A., So, V., Macpherson, N. N., & Mitchell, J. A. (2016) · Genome Research · doi:10.1101/gr.210930.116 · Cited by 190 · see citing works
Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes
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Positively selected enhancer elements endow osteosarcoma cells with metastatic competence
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Self-citationEMBRACE, Dunning, A. M., Collaborators, G. S., HEBON, kConFab Investigators, Michailidou, K., Kuchenbaecker, K. B., Thompson, D., French, J. D., Beesley, J., et al. (2016) · Nature Genetics · doi:10.1038/ng.3521 · Cited by 161 · see citing works
Factor, D. C., Corradin, O., Zentner, G. E., Saiakhova, A., Song, L., Chenoweth, J. G., McKay, R. D. G., Crawford, G. E., Scacheri, P. C., & Tesar, P. J. (2014) · Cell stem cell · doi:10.1016/j.stem.2014.05.005 · Cited by 159 · see citing works
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Zhu, Y., Chen, Z., Zhang, K., Wang, M., Medovoy, D., Whitaker, J. W., Ding, B., Li, N., Zheng, L., & Wang, W. (2016) · Nature Communications · doi:10.1038/ncomms10812 · Cited by 139 · see citing works
Epigenomic profiling of primary gastric adenocarcinoma reveals super-enhancer heterogeneity
Ooi, W. F., Xing, M., Xu, C., Yao, X., Ramlee, M. K., Lim, M. C., Cao, F., Lim, K. J., Babu, D., Poon, L.-F., et al. (2016) · Nature Communications · doi:10.1038/ncomms12983 · Cited by 146 · see citing works
Integrative functional genomics identifies regulatory mechanisms at coronary artery disease loci
Miller, C. L., Pjanic, M., Wang, T., Nguyen, T., Cohain, A. T., Lee, J. D., Matic, L. P., Hedin, U., Kundu, R. K., Majmudar, D., et al. (2016) · Nature Communications · doi:10.1038/ncomms12092 · Cited by 139 · see citing works
Interpretation of deep learning in genomics and epigenomics
Talukder, A., Barham, C., Li, X., & Hu, H. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa177 · Cited by 142 · see citing works
Gene Regulatory Elements, Major Drivers of Human Disease
Chatterjee, S., & Ahituv, N. (2017) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-091416-035537 · Cited by 136 · see citing works
Long noncoding RNA: a crosslink in biological regulatory network
Zhang, Y.-W., Yang, T., & Liao, Q. (2017) · Briefings in Bioinformatics · doi:10.1093/bib/bbx042 · Cited by 134 · see citing works
Long-range enhancers regulating Myc expression are required for normal facial morphogenesis
Uslu, V. V., Petretich, M., Ruf, S., Langenfeld, K., Fonseca, N. A., Marioni, J. C., & Spitz, F. (2014) · Nature Genetics · doi:10.1038/ng.2971 · Cited by 133 · see citing works
An encyclopedia of enhancer-gene regulatory interactions in the human genome
Gschwind, A. R., Mualim, K. S., Karbalayghareh, A., Sheth, M. U., Dey, K. K., Jagoda, E., Nurtdinov, R. N., Xi, W., Tan, A. S., Jones, H., et al. (2023) · doi:10.1101/2023.11.09.563812 · Cited by 119 · see citing works
A predictive modeling approach for cell line-specific long-range regulatory interactions
Roy, S., Siahpirani, A. F., Chasman, D. A., Knaack, S., Ay, F., Stewart, R. M., Wilson, M. D., & Sridharan, R. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv865 · Cited by 121 · see citing works
Ferreira, M. A. R., Gamazon, E. R., Al‐Ejeh, F., Aittomäki, K., Andrulis, I. L., Anton‐Culver, H., Arason, A., Arndt, V., Aronson, K. J., Arun, B., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-08053-5 · Cited by 122 · see citing works
In silico prediction of high-resolution Hi-C interaction matrices
Zhang, S., Chasman, D. A., Knaack, S., & Roy, S. (2019) · Nature Communications · doi:10.1038/s41467-019-13423-8 · Cited by 119 · see citing works
Hotspots of aberrant enhancer activity punctuate the colorectal cancer epigenome
Cohen, A. J., Saiakhova, A., Corradin, O., Luppino, J. M., Lovrenert, K., Bartels, C. F., Morrow, J. J., Mack, S. C., Dhillon, G. K., Beard, L., et al. (2017) · Nature Communications · doi:10.1038/ncomms14400 · Cited by 116 · see citing works
Self-citationEvidence that breast cancer risk at the 2q35 locus is mediated through IGFBP5 regulation
Ghoussaini, M., Edwards, S. L., Michailidou, K., Nord, S., Sallari, R. C., Desai, K., Kar, S., Hillman, K. M., Kaufmann, S., Glubb, D. M., et al. (2014) · Nature Communications · doi:10.1038/ncomms5999 · Cited by 112 · see citing works
In the loop: promoter–enhancer interactions and bioinformatics
Mora, A., Sandve, G. K., Gabrielsen, O. S., & Eskeland, R. (2015) · Briefings in Bioinformatics · doi:10.1093/bib/bbv097 · Cited by 115 · see citing works
Trynka, G., Westra, H.-J., Slowikowski, K., Hu, X., Xu, H., Stranger, B. E., Klein, R. J., Han, B., & Raychaudhuri, S. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.05.016 · Cited by 114 · see citing works
4DGenome: a comprehensive database of chromatin interactions
Teng, L., He, B., Wang, J., & Tan, K. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw375 · Cited by 114 · see citing works
Transversions have larger regulatory effects than transitions
Guo, C., McDowell, I. C., Nodzenski, M., Scholtens, D. M., Allen, A. S., Lowe, W. L., & Reddy, T. E. (2017) · BMC Genomics · doi:10.1186/s12864-017-3785-4 · Cited by 119 · see citing works
Long ncRNA expression associates with tissue-specific enhancers
Vučićević, D., Corradin, O., Ntini, E., Scacheri, P. C., & Ørom, U. A. (2015) · Cell Cycle · doi:10.4161/15384101.2014.977641 · Cited by 110 · see citing works
Self-citationEnhancer deregulation in cancer and other diseases
Herz, H. (2016) · BioEssays · doi:10.1002/bies.201600106 · Cited by 107 · see citing works
Spieler, D., Kaffe, M., Knauf, F., Bessa, J., Tena, J. J., Giesert, F., Schormair, B., Tilch, E., Lee, H., Horsch, M., et al. (2014) · Genome Research · doi:10.1101/gr.166751.113 · Cited by 110 · see citing works
Extensive pleiotropism and allelic heterogeneity mediate metabolic effects of IRX3 and IRX5
Sobreira, D. R., Joslin, A. C., Zhang, Q., Williamson, I., Hansen, G. T., Farris, K. M., Sakabe, N. J., Sinnott-Armstrong, N., Bozek, G., Jensen-Cody, S. O., et al. (2021) · Science · doi:10.1126/science.abf1008 · Cited by 106 · see citing works
Deciphering the Emerging Complexities of Molecular Mechanisms at GWAS Loci
Cannon, M. E., & Mohlke, K. L. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.10.001 · Cited by 109 · see citing works
Genetic factors define CPO and CLO subtypes of nonsyndromicorofacial cleft
Huang, L., Jia, Z., Shi, Y., Du, Q., Shi, J., Wang, Z., Mou, Y., Wang, Q., Zhang, B., Wang, Q., et al. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1008357 · Cited by 109 · see citing works
4DGenome: a comprehensive database of chromatin interactions
Teng, L., He, B., Wang, J., & Tan, K. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv158 · Cited by 107 · see citing works
Canver, M. C., Lessard, S., Pinello, L., Wu, Y., Ilboudo, Y., Stern, E. N., Needleman, A. J., Galactéros, F., Brugnara, C., Kutlar, A., et al. (2017) · Nature Genetics · doi:10.1038/ng.3793 · Cited by 105 · see citing works
SEanalysis 2.0: a comprehensive super-enhancer regulatory network analysis tool for human and mouse
Qian, F., Zhou, L., Li, Y., Yu, Z., Li, L., Wang, Y., Xu, M., Wang, Q., & Li, C. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad408 · Cited by 105 · see citing works
Systematic identification of regulatory variants associated with cancer risk
Liu, S., Liu, Y., Zhang, Q., Wu, J., Liang, J., Yu, S., Wei, G., White, K. P., & Wang, X. (2017) · Genome biology · doi:10.1186/s13059-017-1322-z · Cited by 100 · see citing works
Woerner, A. C., Gallagher, R. C., Vockley, J. E., & Adhikari, A. N. (2021) · Frontiers in Pediatrics · doi:10.3389/fped.2021.663752 · Cited by 103 · see citing works
Guo, C., Ludvik, A. E., Arlotto, M. E., Hayes, M. G., Armstrong, L. L., Scholtens, D. M., Brown, C. D., Newgard, C. B., Becker, T. C., Layden, B. T., et al. (2015) · Nature Communications · doi:10.1038/ncomms7069 · Cited by 102 · see citing works
Genetics of the dentofacial variation in human malocclusion
Uribe, L. M. M., & Miller, S. F. (2015) · Orthodontics and Craniofacial Research · doi:10.1111/ocr.12083 · Cited by 103 · see citing works
Type 1 Diabetes Candidate Genes Linked to Pancreatic Islet Cell Inflammation and Beta-Cell Apoptosis
Størling, J., & Pociot, F. (2017) · Genes · doi:10.3390/genes8020072 · Cited by 101 · see citing works
Vockley, C. M., Guo, C., Majoros, W. H., Nodzenski, M., Scholtens, D. M., Hayes, M. G., Lowe, W. L., & Reddy, T. E. (2015) · Genome Research · doi:10.1101/gr.190090.115 · Cited by 99 · see citing works
What has GWAS done for HLA and disease associations?
Kennedy, A. E., Özbek, U., & Dorak, M. T. (2017) · International Journal of Immunogenetics · doi:10.1111/iji.12332 · Cited by 98 · see citing works
Five endometrial cancer risk loci identified through genome-wide association analysis
National Study of Endometrial Cancer Genetics Group (NSECG), Cheng, T. H. T., Chenevix‐Trench, G., RENDOCAS, Chenevix‐Trench, G., Thompson, D. J., O’Mara, T. A., Painter, J. N., Glubb, D. M., Flach, S., et al. (2016) · Nature Genetics · doi:10.1038/ng.3562 · Cited by 94 · see citing works
Dense and accurate whole-chromosome haplotyping of individual genomes
Porubskỳ, D., Garg, S., Sanders, A. D., Korbel, J. O., Guryev, V., Lansdorp, P. M., & Marschall, T. (2017) · Nature Communications · doi:10.1038/s41467-017-01389-4 · Cited by 95 · see citing works
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 · see citing works
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 91 · see citing works
Understanding Human Autoimmunity and Autoinflammation Through Transcriptomics
Banchereau, R., Cepika, A., Banchereau, J., & Pascual, V. (2017) · Annual Review of Immunology · doi:10.1146/annurev-immunol-051116-052225 · Cited by 94 · see citing works
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 · see citing works
Self-citationLaying a solid foundation for Manhattan – ‘setting the functional basis for the post-GWAS era’
Zhang, X., Bailey, S. D., & Lupien, M. (2014) · Trends in Genetics · doi:10.1016/j.tig.2014.02.006 · Cited by 92 · see citing works
Self-citationMolecular and genetic insights into human ovarian aging from single-nuclei multi-omics analyses
Jin, C., Wang, X., Yang, J., Kim, S.-S., Hudgins, A. D., Gamliel, A., Pei, M., Contreras, D., Devos, M., Guo, Q., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00762-5 · Cited by 107 · see citing works
He, H., Li, W., Liyanarachchi, S., Srinivas, M., Wang, Y., Akagi, K., Wang, Y., Wu, D., Wang, Q., Jin, V. X., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1506255112 · Cited by 88 · see citing works
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 · see citing works
Mutations in the noncoding genome
Scacheri, C., & Scacheri, P. C. (2015) · Current Opinion in Pediatrics · doi:10.1097/mop.0000000000000283 · Cited by 85 · see citing works
Self-citationMining the Unknown: Assigning Function to Noncoding Single Nucleotide Polymorphisms
Nishizaki, S. S., & Boyle, A. P. (2016) · Trends in Genetics · doi:10.1016/j.tig.2016.10.008 · Cited by 84 · see citing works
Glubb, D. M., Maranian, M. J., Michailidou, K., Pooley, K. A., Meyer, K. B., Kar, S., Carlebur, S., O’Reilly, M., Betts, J. A., Hillman, K. M., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.11.009 · Cited by 80 · see citing works
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 84 · see citing works
Koues, O. I., Kowalewski, R., Chang, L., Pyfrom, S., Schmidt, J. A., Luo, H., Sandoval, L., Hughes, T. B., Bednarski, J. J., Cashen, A. F., et al. (2014) · Immunity · doi:10.1016/j.immuni.2014.12.021 · Cited by 78 · see citing works
Genetic influences on susceptibility to rheumatoid arthritis in African-Americans
Laufer, V. A., Tiwari, H. K., Reynolds, R. J., Danila, M. I., Wang, J., Edberg, J. C., Kimberly, R. P., Kottyan, L. C., Harley, J. B., Mikuls, T. R., et al. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy395 · Cited by 78 · see citing works
Ghoussaini, M., French, J. D., Michailidou, K., Nord, S., Beesley, J., Canisus, S., Hillman, K. M., Kaufmann, S., Sivakumaran, H., Marjaneh, M. M., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.07.017 · Cited by 74 · see citing works
Nascent RNA sequencing analysis provides insights into enhancer-mediated gene regulation
Wang, J., Zhao, Y., Zhou, X., Hiebert, S. W., Liu, Q., & Shyr, Y. (2018) · BMC Genomics · doi:10.1186/s12864-018-5016-z · Cited by 72 · see citing works
Expression quantitative trait locus analysis for translational medicine
Gibson, G. C., Powell, J. E., & Marigorta, U. M. (2015) · Genome Medicine · doi:10.1186/s13073-015-0186-7 · Cited by 74 · see citing works
Enhancing the Promise of Drug Repositioning through Genetics
Pritchard, J.-L., O'Mara, T., & Glubb, D. M. (2017) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00896 · Cited by 59 · see citing works
Functional Characterization of Schizophrenia-Associated Variation in CACNA1C
Eckart, N., Song, Q., Yang, R. J., Wang, R., Zhu, H., McCallion, A. S., & Avramopoulos, D. (2016) · PLoS ONE · doi:10.1371/journal.pone.0157086 · Cited by 74 · see citing works
Lu, M. S., Taylor, B. V., & Körner, H. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00477 · Cited by 71 · see citing works
Enhancers: bridging the gap between gene control and human disease
Karnuta, J. M., & Scacheri, P. C. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy167 · Cited by 68 · see citing works
Self-citationEditing GWAS: experimental approaches to dissect and exploit disease-associated genetic variation
Rao, S., Yao, Y., & Bauer, D. E. (2021) · Genome Medicine · doi:10.1186/s13073-021-00857-3 · Cited by 68 · see citing works
Pregnancy, preeclampsia and maternal aging: From epidemiology to functional genomics
Miller, E. C., Wilczek, A., Bello, N. A., Tom, S. E., Wapner, R. J., & Suh, Y. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101535 · Cited by 74 · see citing works
A catalog of GWAS fine-mapping efforts in autoimmune disease
Çalışkan, M., Brown, C. D., & Maranville, J. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.03.009 · Cited by 67 · see citing works
Fadason, T., Schierding, W. S., Lumley, T., & O'Sullivan, J. M. (2018) · Nature Communications · doi:10.1038/s41467-018-07692-y · Cited by 63 · see citing works
Zhu, Y., Tazearslan, C., & Suh, Y. (2017) · Experimental Biology and Medicine · doi:10.1177/1535370217713750 · Cited by 64 · see citing works
Long non-coding RNAs as novel players in β cell function and type 1 diabetes
Mirza, A. H., Kaur, S., & Pociot, F. (2017) · Human Genomics · doi:10.1186/s40246-017-0113-7 · Cited by 62 · see citing works
FIND: difFerential chromatin INteractions Detection using a spatial Poisson processPreprint
Djekidel, M. N., Chen, Y., & Zhang, M. Q. (2018) · Genome Research · doi:10.1101/gr.212241.116 · Cited by 56 · see citing works
- Authors
- Corradin, O., Saiakhova, A., Akhtar-Zaidi, B., Myeroff, L., Willis, J., Cowper-Sal·lari, R., Lupien, M., Markowitz, S., & Scacheri, P. C.
- Affiliations
- Case Western Reserve University (US)
- Case Comprehensive Cancer Center (US)
- University Health Network (CA)
- Corresponding author
- Scacheri, Peter C.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2013-11-06
- Volume
- 24
- Issue
- 1
- Pages
- 1-13
- ISSN
- 1088-9051 (ISSN-L)
- PMC
- PMC3875850
- OpenAlex
- W2010789111
- Cited by
- 366
- References
- 43
- Citations by year
- 2026: 13 · 2025: 7 · 2024: 16 · 2023: 20 · 2022: 25 · 2021: 28 · 2020: 29 · 2019: 26 · 2018: 34 · 2017: 55 · 2016: 56 · 2015: 37 · 2014: 20
- Type
- posted content
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Genome Research (publishedVersion)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute (R01CA160356, R01CA155004, P50CA150964)
- National Institute of General Medical Sciences (T32GM008056)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- linkage disequilibrium, enhancer variants, gene expression regulation, enhancer-gene interactions, autoimmune disease susceptibility, rheumatoid arthritis, Crohn's disease, celiac disease, multiple sclerosis, lupus, ulcerative colitis, single nucleotide polymorphisms, B lymphoblasts, HapMap
- MeSH terms
- Arthritis, Rheumatoid, Autoimmune Diseases, Celiac Disease, Colitis, Ulcerative, Crohn Disease, Enhancer Elements, Genetic, Humans, Lupus Erythematosus, Systemic, Multiple Sclerosis, Phenotype, Genetic Variation, Linkage Disequilibrium, Gene Expression, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome-Wide Association Study
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