Direct Identification of Hundreds of Expression-Modulating Variants using a Multiplexed Reporter Assay
Open accessAbstract
Although studies have identified hundreds of loci associated with human traits and diseases, pinpointing causal alleles remains difficult, particularly for non-coding variants. To address this challenge, we adapted the massively parallel reporter assay (MPRA) to identify variants that directly modulate gene expression. We applied it to 32,373 variants from 3,642 cis-expression quantitative trait loci and control regions. Detection by MPRA was strongly correlated with measures of regulatory function. We demonstrate MPRA's capabilities for pinpointing causal alleles, using it to identify 842 variants showing differential expression between alleles, including 53 well-annotated variants associated with diseases and traits. We investigated one in detail, a risk allele for ankylosing spondylitis, and provide direct evidence of a non-coding variant that alters expression of the prostaglandin EP4 receptor. These results create a resource of concrete leads and illustrate the promise of this approach for comprehensively interrogating how non-coding polymorphism shapes human biology.
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The plasmid reporter assay included a positive control variant rs9283753 from Tewhey et al. 2016 to ensure effectiveness and reproducibility.
“To ensure the effectiveness and reproducibility of our design, we also included a positive control variant (rs9283753) from Tewhey et al. 2016 [45].”
From Denisovan introgression has shaped the immune system of present-day Papuans (2022) · cites this paper as [45]
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An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072 · see citing works
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711 · 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
Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease
the NIDDK IBD Genetics Consortium, Barrett, J. C., the Belgian-French IBD Consortium, the Wellcome Trust Case Control Consortium, Hansoul, S., Nicolae, D. L., Cho, J. H., Duerr, R. H., Rioux, J. D., Brant, S. R., et al. (2008) · Nature Genetics · doi:10.1038/ng.175 · Cited by 2,593 · see citing works
An atlas of active enhancers across human cell types and tissues
The FANTOM Consortium, Andersson, R., Gebhard, C., Miguel-Escalada, I., Hoof, I., Bornholdt, J., Boyd, M., Chen, Y., Zhao, X., Schmidl, C., et al. (2014) · Nature · doi:10.1038/nature12787 · Cited by 2,550 · see citing works
Genetic and epigenetic fine mapping of causal autoimmune disease variants
Farh, K. K.-H., Marson, A., Zhu, J., Kleinewietfeld, M., Housley, W. J., Beik, S., Shoresh, N., Whitton, H., Ryan, R. J. H., Shishkin, A. A., et al. (2015) · Nature · doi:10.1038/nature13835 · Cited by 1,956 · see citing works
Transcriptome and genome sequencing uncovers functional variation in humans
The Geuvadis Consortium, Lappalainen, T., Sammeth, M., Friedländer, M. R., ‘t Hoen, P. A. C., Monlong, J., Rivas, M. A., Gonzàlez-Porta, M., Kurbatova, N., Griebel, T., et al. (2013) · Nature · doi:10.1038/nature12531 · Cited by 1,888 · see citing works
Convergent adaptation of human lactase persistence in Africa and Europe
Tishkoff, S. A., Reed, F. A., Ranciaro, A., Voight, B. F., Babbitt, C. C., Silverman, J. S., Powell, K., Mortensen, H. M., Hirbo, J. B., Osman, M., et al. (2007) · Nature Genetics · doi:10.1038/ng1946 · Cited by 1,615 · see citing works
<i>FTO</i> Obesity Variant Circuitry and Adipocyte Browning in Humans
Claussnitzer, M., Dankel, S. N., Kim, K.-H., Quon, G., Meuleman, W., Haugen, C., Glunk, V., Sousa, I. S., Beaudry, J. L., Puviindran, V., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1502214 · Cited by 1,332 · see citing works
From noncoding variant to phenotype via SORT1 at the 1p13 cholesterol locus
Musunuru, K., Strong, A., Frank-Kamenetsky, M., Lee, N. E., Ahfeldt, T., Sachs, K. V., Li, X., Li, H., Kuperwasser, N., Ruda, V. M., et al. (2010) · Nature · doi:10.1038/nature09266 · Cited by 1,140 · see citing works
Genome-Wide Quantitative Enhancer Activity Maps Identified by STARR-seq
Arnold, C. D., Gerlach, D., Stelzer, C., Boryń, Ł. M., Rath, M., & Stark, A. (2013) · Science · doi:10.1126/science.1232542 · Cited by 1,125 · see citing works
Shi, Y., Seto, E., Chang, L., & Shenk, T. E. (1991) · Cell · doi:10.1016/0092-8674(91)90189-6 · Cited by 1,035 · see citing works
Evans, D. M., Spencer, C. C. A., Pointon, J. J., Su, Z., Harvey, D., Kochan, G. T., Oppermann, U. C. T., Dilthey, A., Pirinen, M., Stone, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.873 · Cited by 895 · see citing works
International MS Genetics Consortium, De Jager, P. L., Jia, X., Wang, J., de Bakker, P. I. W., Ottoboni, L., Aggarwal, N. T., Piccio, L., Raychaudhuri, S., Tran, D., et al. (2009) · Nature Genetics · doi:10.1038/ng.401 · Cited by 800 · see citing works
Transient and Stable Expression of the Firefly Luciferase Gene in Plant Cells and Transgenic Plants
Ow, D. W., Wood, K. V., DeLuca, M. A., de Wet, J. R., Helinski, D. R., & Howell, S. H. (1986) · Science · doi:10.1126/science.234.4778.856 · Cited by 725 · 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
Melnikov, A., Murugan, A., Zhang, X., Tesileanu, T., Wang, L., Rogov, P., Feizi, S., Gnirke, A., Callan, C. G., Kinney, J. B., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2137 · Cited by 711 · see citing works
Parker, S. C. J., Stitzel, M. L., Taylor, D. L., Orozco, J. M., Erdos, M. R., Akiyama, J. A., van Bueren, K. L., Chines, P. S., Narisu, N., Program, N. C. S., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317023110 · Cited by 665 · see citing works
Siva, N. (2008) · Nature Biotechnology · doi:10.1038/nbt0308-256b · Cited by 629 · see citing works
Genetic variants near TNFAIP3 on 6q23 are associated with systemic lupus erythematosus
Graham, R., Cotsapas, C. J., Davies, L. R. L., Hackett, R., Lessard, C. J., Leon, J. M., Burtt, N. P., Guiducci, C., Parkin, M., Gates, C., et al. (2008) · Nature Genetics · doi:10.1038/ng.200 · Cited by 588 · see citing works
Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer's disease
Gjoneska, E., Pfenning, A. R., Mathys, H., Quon, G., Kundaje, A., Tsai, L.-H., & Kellis, M. (2015) · Nature · doi:10.1038/nature14252 · Cited by 576 · see citing works
Needles in stacks of needles: finding disease-causal variants in a wealth of genomic data
Cooper, G. M., & Shendure, J. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3046 · Cited by 563 · see citing works
Massively parallel functional dissection of mammalian enhancers in vivo
Patwardhan, R. P., Hiatt, J. B., Witten, D. M., Kim, M. J., Smith, R. P., May, D., Lee, C., Andrie, J. M., Lee, S.-I., Cooper, G. M., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2136 · Cited by 536 · see citing works
High-Resolution Mapping of Expression-QTLs Yields Insight into Human Gene Regulation
Veyrieras, J.-B., Kudaravalli, S., Kim, S. Y., Dermitzakis, E. T., Gilad, Y., Stephens, M., & Pritchard, J. K. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000214 · Cited by 536 · see citing works
Identification of Genetic Variants That Affect Histone Modifications in Human Cells
McVicker, G., van de Geijn, B., Degner, J. F., Cain, C. E., Banovich, N. E., Raj, A., Lewellen, N., Myrthil, M., Gilad, Y., & Pritchard, J. K. (2013) · Science · doi:10.1126/science.1242429 · Cited by 426 · see citing works
Abundant contribution of short tandem repeats to gene expression variation in humans
Gymrek, M., Willems, T., Guilmatre, A., Zeng, H., Markus, B., Georgiev, S., Daly, M. J., Price, A. L., Pritchard, J. K., Sharp, A. J., et al. (2016) · Nature Genetics · doi:10.1038/ng.3461 · Cited by 410 · see citing works
Identifying Recent Adaptations in Large-Scale Genomic Data
Grossman, S. R., Andersen, K. G., Shlyakhter, I., Tabrizi, S., Winnicki, S., Yen, A., Park, D. J., Griesemer, D., Karlsson, E. K., Wong, S. H., et al. (2013) · Cell · doi:10.1016/j.cell.2013.01.035 · Cited by 368 · see citing works
Self-citationExtensive Variation in Chromatin States Across Humans
Kasowski, M., Kyriazopoulou-Panagiotopoulou, S., Grubert, F., Zaugg, J. B., Kundaje, A., Liu, Y., Boyle, A. P., Zhang, Q. C., Zakharia, F., Spacek, D. V., et al. (2013) · Science · doi:10.1126/science.1242510 · Cited by 339 · 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
Kheradpour, P., Ernst, J., Melnikov, A., Rogov, P., Wang, L., Zhang, X., Alston, J., Mikkelsen, T. S., & Kellis, M. (2013) · Genome Research · doi:10.1101/gr.144899.112 · Cited by 315 · see citing works
Ip, Y. T., Kraut, R. S., Levine, M., & Rushlow, C. A. (1991) · Cell · doi:10.1016/0092-8674(91)90651-e · Cited by 227 · see citing works
High-throughput functional testing of ENCODE segmentation predictions
Kwasnieski, J. C., Fiore, C., Chaudhari, H. G., & Cohen, B. A. (2014) · Genome Research · doi:10.1101/gr.173518.114 · Cited by 224 · see citing works
Conversion of Dorsal from an activator to a repressor by the global corepressor Groucho
Dubnicoff, T., Valentine, S. A., Chen, G., Shi, T., Lengyel, J. A., Paroush, Z., & Courey, A. J. (1997) · Genes & Development · doi:10.1101/gad.11.22.2952 · Cited by 155 · see citing works
Massively parallel synthetic promoter assays reveal the in vivo effects of binding site variantsPreprint
Mogno, I., Kwasnieski, J. C., & Cohen, B. (2013) · Genome Research · doi:10.1101/gr.157891.113 · Cited by 117 · 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
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
Guthridge, J. M., Lu, R., Sun, H., Sun, C., Wiley, G. B., Domínguez, N., Macwana, S., Lessard, C. J., Kim-Howard, X., Cobb, B. L., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.03.008 · Cited by 63 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The GTEx Consortium atlas of genetic regulatory effects across human tissues
The GTEx Consortium, Aguet, F., Anand, S., Ardlie, K. G., Gabriel, S., Getz, G. A., Graubert, A., Hadley, K., Handsaker, R. E., Huang, K. H., et al. (2020) · Science · doi:10.1126/science.aaz1776 · Cited by 5,547 · see citing works
Expanded encyclopaedias of DNA elements in the human and mouse genomes
The ENCODE Project Consortium, Abascal, F., Acosta, R., Addleman, N. J., Adrian, J., Afzal, V., Ai, R., Aken, B., Akiyama, J. A., Jammal, O. A., et al. (2020) · Nature · doi:10.1038/s41586-020-2493-4 · Cited by 2,378 · see citing works
Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbations
Fulco, C. P., Nasser, J., Jones, T. R., Munson, G., Bergman, D. T., Subramanian, V., Grossman, S. R., Anyoha, R., Doughty, B. R., Patwardhan, T. A., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0538-0 · Cited by 1,111 · 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
Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits
Wu, Y., Zeng, J., Zhang, F., Zhu, Z., Qi, T., Zheng, Z., Lloyd-Jones, L. R., Marioni, R. E., Martin, N. G., Montgomery, G. W., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03371-0 · Cited by 685 · see citing works
Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk
Zhou, J., Theesfeld, C. L., Yao, K., Chen, K. M., Wong, A. K., & Troyanskaya, O. G. (2018) · Nature Genetics · doi:10.1038/s41588-018-0160-6 · Cited by 559 · see citing works
Gupta, R. M., Hadaya, J., Trehan, A., Zekavat, S. M., Roselli, C., Klarin, D., Emdin, C. A., Hilvering, C. R. E., Bianchi, V., Mueller, C., et al. (2017) · Cell · doi:10.1016/j.cell.2017.06.049 · Cited by 450 · see citing works
Linear models enable powerful differential activity analysis in massively parallel reporter assays
Myint, L., Avramopoulos, D., Goff, L., & Hansen, K. (2017) · BMC Genomics · doi:10.1186/s12864-019-5556-x · Cited by 140 · see citing works
Targeted AID-mediated mutagenesis (TAM) enables efficient genomic diversification in mammalian cells
Ma, Y., Zhang, J., Yin, W., Zhang, Z., Song, Y., & Chang, X. (2016) · Nature Methods · doi:10.1038/nmeth.4027 · Cited by 415 · see citing works
Towards a comprehensive catalogue of validated and target-linked human enhancers
Gasperini, M., Tome, J. M., & Shendure, J. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-019-0209-0 · Cited by 396 · see citing works
Transcription factor–DNA binding: beyond binding site motifs
Inukai, S., Kock, K. H., & Bulyk, M. L. (2017) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2017.02.007 · Cited by 387 · see citing works
Variant interpretation: functional assays to the rescue
Starita, L. M., Ahituv, N., Dunham, M. J., Kitzman, J. O., Roth, F. P., Seelig, G., Shendure, J., & Fowler, D. M. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.07.014 · Cited by 381 · see citing works
The GTEx Consortium atlas of genetic regulatory effects across human tissuesPreprint
Aguet, F., Barbeira, A., Bonazzola, R., Brown, A. A., Castel, S. E., Jo, B., Kasela, S., Kim-Hellmuth, S., Liang, Y., Oliva, M., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/787903 · Cited by 379 · 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
Genomic Analysis in the Age of Human Genome Sequencing
Lappalainen, T., Scott, A. J., Brandt, M. K., & Hall, I. M. (2019) · Cell · doi:10.1016/j.cell.2019.02.032 · Cited by 298 · see citing works
Kotler, E., Shani, O., Goldfeld, G., Lotan‐Pompan, M., Tarcic, O., Gershoni, A., Hopf, T. A., Marks, D. S., Oren, M., & Segal, E. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.06.012 · Cited by 287 · see citing works
A compendium of genetic regulatory effects across pig tissues
Teng, J., Gao, Y., Yin, H. H., Bai, Z., Liu, S., Zeng, H., Bai, L., Cai, Z., Zhao, B., Li, X., et al. (2024) · Nature Genetics · doi:10.1038/s41588-023-01585-7 · Cited by 276 · see citing works
Kircher, M., Xiong, C., Martin, B., Schubach, M., Inoue, F., Bell, R. J. A., Costello, J. F., Shendure, J., & Ahituv, N. (2019) · Nature Communications · doi:10.1038/s41467-019-11526-w · Cited by 234 · see citing works
Esposito, D., Weile, J., Shendure, J., Starita, L. M., Papenfuss, A. T., Roth, F. P., Fowler, D. M., & Rubin, A. F. (2019) · Genome biology · doi:10.1186/s13059-019-1845-6 · Cited by 248 · see citing works
A systematic evaluation of the design and context dependencies of massively parallel reporter assays
Klein, J. C., Agarwal, V., Inoue, F., Keith, A., Martin, B., Kircher, M., Ahituv, N., & Shendure, J. (2020) · Nature Methods · doi:10.1038/s41592-020-0965-y · Cited by 226 · see citing works
Functional Dissection of the Enhancer Repertoire in Human Embryonic Stem Cells
Barakat, T. S., Halbritter, F., Zhang, M., Rendeiro, A. F., Perenthaler, E., Bock, C., & Chambers, I. (2018) · Cell stem cell · doi:10.1016/j.stem.2018.06.014 · Cited by 214 · see citing works
Catarino, R. R., & Stark, A. (2018) · Genes & Development · doi:10.1101/gad.310367.117 · Cited by 205 · see citing works
Resolving systematic errors in widely used enhancer activity assays in human cells
Muerdter, F., Boryń, Ł. M., Woodfin, A. R., Neumayr, C., Rath, M., Zabidi, M. A., Pagani, M., Haberle, V., Kazmar, T., Catarino, R. R., et al. (2018) · Nature Methods · doi:10.1038/nmeth.4534 · Cited by 208 · see citing works
Wang, X., He, L., Goggin, S. M., Saadat, A., Wang, L., Sinnott-Armstrong, N., Claussnitzer, M., & Kellis, M. (2018) · Nature Communications · doi:10.1038/s41467-018-07746-1 · Cited by 159 · see citing works
Multiple causal variants underlie genetic associations in humans
Abell, N. S., DeGorter, M. K., Gloudemans, M. J., Greenwald, E., Smith, K. S., He, Z., & Montgomery, S. B. (2022) · Science · doi:10.1126/science.abj5117 · Cited by 186 · see citing works
Griesemer, D. S., Xue, J. R., Reilly, S. K., Ulirsch, J. C., Kukreja, K., Davis, J. R., Kanai, M., Yang, D. K., Butts, J. C., Guney, M. H., et al. (2021) · Cell · doi:10.1016/j.cell.2021.08.025 · Cited by 173 · see citing works
Self-citationComprehensive In Vivo Interrogation Reveals Phenotypic Impact of Human Enhancer Variants
Kvon, E. Z., Zhu, Y., Kelman, G., Novak, C. S., Plajzer-Frick, I., Kato, M., Garvin, T. H., Pham, Q. T., Harrington, A. N., Hunter, R. D., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.031 · Cited by 161 · see citing works
From variant to function in human disease genetics
Lappalainen, T., & MacArthur, D. G. (2021) · Science · doi:10.1126/science.abi8207 · Cited by 175 · see citing works
Transcriptomic signatures across human tissues identify functional rare genetic variation
Ferraro, N. M., Strober, B. J., Einson, J. E., Abell, N. S., Aguet, F., Barbeira, A., Brandt, M. K., Bućan, M., Castel, S. E., Davis, J. R., et al. (2020) · Science · doi:10.1126/science.aaz5900 · Cited by 155 · see citing works
Pashos, E. E., Park, Y., Wang, X., Raghavan, A., Yang, W., Abbey, D., Peters, D., Arbelaez, J., Hernandez, M., Kuperwasser, N., et al. (2017) · Cell stem cell · doi:10.1016/j.stem.2017.03.017 · Cited by 168 · see citing works
Genome-scale high-resolution mapping of activating and repressive nucleotides in regulatory regions
Ernst, J., Melnikov, A., Zhang, X., Wang, L., Rogov, P., Mikkelsen, T. S., & Kellis, M. (2016) · Nature Biotechnology · doi:10.1038/nbt.3678 · Cited by 162 · see citing works
Self-citationGrossman, S. R., Zhang, X., Wang, L., Engreitz, J., Melnikov, A., Rogov, P., Tewhey, R., Isakova, A., Deplancke, B., Bernstein, B. E., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1621150114 · Cited by 165 · see citing works
Self-citationThe power of multiplexed functional analysis of genetic variants
Gasperini, M., Starita, L., & Shendure, J. (2016) · Nature Protocols · doi:10.1038/nprot.2016.135 · Cited by 160 · see citing works
Compatibility rules of human enhancer and promoter sequences
Bergman, D. T., Jones, T. R., Liu, V., Ray, J., Jagoda, E., Siraj, L., Kang, H. Y., Nasser, J., Kane, M., Rios, A., et al. (2022) · Nature · doi:10.1038/s41586-022-04877-w · Cited by 155 · see citing works
Quantifying the regulatory effect size of cis -acting genetic variation using allelic fold changePreprint
Mohammadi, P., Castel, S. E., Brown, A. A., & Lappalainen, T. (2017) · Genome Research · doi:10.1101/gr.216747.116 · Cited by 146 · see citing works
Machine-guided design of cell-type-targeting cis-regulatory elements
Gosai, S. J., Castro, R. I., Fuentes, N., Butts, J. C., Mouri, K., Alasoadura, M., Kales, S., Nguyen, T. T. L., Noche, R. R., Rao, A. S., et al. (2024) · Nature · doi:10.1038/s41586-024-08070-z · Cited by 142 · see citing works
Self-citationGene 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
Genome-wide quantification of the effects of DNA methylation on human gene regulation
Lea, A. J., Vockley, C. M., Johnston, R. A., Carpio, C. A. D., Barreiro, L. B., Reddy, T. E., & Tung, J. (2018) · eLife · doi:10.7554/elife.37513 · Cited by 136 · see citing works
A practical view of fine-mapping and gene prioritization in the post-genome-wide association era
Broekema, R., Bakker, O. B., & Jonkers, I. H. (2020) · Open Biology · doi:10.1098/rsob.190221 · Cited by 127 · see citing works
Functional regulatory variants implicate distinct transcriptional networks in dementia
Cooper, Y. A., Teyssier, N., Dräger, N. M., Guo, Q., Davis, J. E., Sattler, S. M., Yang, Z., Patel, A. M., Wu, S. J., Kosuri, S., et al. (2022) · Science · doi:10.1126/science.abi8654 · Cited by 120 · see citing works
Allele-specific open chromatin in human iPSC neurons elucidates functional disease variants
Zhang, S., Zhang, H., Zhou, Y., Qiao, M., Zhao, S., Kozlova, A., Shi, J., Sanders, A. R., Wang, G., Luo, K., et al. (2020) · Science · doi:10.1126/science.aay3983 · Cited by 127 · see citing works
Insights into pancreatic islet cell dysfunction from type 2 diabetes mellitus genetics
Krentz, N. A. J., & Gloyn, A. L. (2020) · Nature Reviews Endocrinology · doi:10.1038/s41574-020-0325-0 · Cited by 128 · see citing works
Promoter-interacting expression quantitative trait loci are enriched for functional genetic variants
Chandra, V., Bhattacharyya, S., Schmiedel, B. J., Madrigal, A., González-Colín, C., Feupe, S. F., Crinklaw, A., Seumois, G., Mohammadi, P., Kronenberg, M., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-00745-3 · Cited by 124 · see citing works
Leveraging base-pair mammalian constraint to understand genetic variation and human disease
Sullivan, P. F., Meadows, J. R. S., Gazal, S., Phan, B. N., Li, X., Genereux, D. P., Dong, M. X., Bianchi, M., Andrews, G., Sakthikumar, S., et al. (2023) · Science · doi:10.1126/science.abn2937 · Cited by 110 · see citing works
Pooled ChIP-Seq Links Variation in Transcription Factor Binding to Complex Disease Risk
Tehranchi, A. K., Myrthil, M., Martin, T., Hie, B. L., Golan, D., & Fraser, H. B. (2016) · Cell · doi:10.1016/j.cell.2016.03.041 · Cited by 120 · see citing works
Lessons from ten years of genome‐wide association studies of asthma
Vicente, C. T., Revez, J. A., & Ferreira, M. A. R. (2017) · Clinical & Translational Immunology · doi:10.1038/cti.2017.54 · Cited by 116 · see citing works
Massively parallel discovery of human-specific substitutions that alter enhancer activity
Uebbing, S., Gockley, J., Reilly, S. K., Kocher, A. A., Geller, E. T., Gandotra, N., Scharfe, C., Cotney, J. L., & Noonan, J. P. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2007049118 · Cited by 111 · see citing works
Systematic interrogation of human promoters
Weingarten-Gabbay, S., Nir, R., Lubliner, S., Sharon, E., Kalma, Y., Weinberger, A., & Segal, E. (2019) · Genome Research · doi:10.1101/gr.236075.118 · Cited by 110 · see citing works
“A growing number of studies employ MPRAs to decipher gene expression regulation at the levels of transcription, translation, and mRNA stability (Zhao et al. 2014; Shalem et al. 2015; Ernst et al. 2016; Tewhey et al. 2016; Ulirsch et al. 2016; Weingarten-Gabbay et al. 2016).”
A Dementia-Associated Risk Variant near TMEM106B Alters Chromatin Architecture and Gene Expression
Gallagher, M. D., Posavi, M., Huang, P., Unger, T. L., Berlyand, Y., Gruenewald, A. L., Chesi, A., Manduchi, E., Wells, A. D., Grant, S. F. A., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.09.004 · Cited by 109 · see citing works
Allele-specific epigenome maps reveal sequence-dependent stochastic switching at regulatory loci
Onuchic, V., Lurie, E., Carrero, I., Pawliczek, P., Patel, R. Y., Rozowsky, J. S., Galeev, T. R., Huang, Z., Altshuler, R. C., Zhang, Z., et al. (2018) · Science · doi:10.1126/science.aar3146 · Cited by 99 · see citing works
Post-GWAS in prostate cancer: from genetic association to biological contribution
Farashi, S., Kryza, T., Clements, J., & Batra, J. (2018) · Nature Reviews. Cancer · doi:10.1038/s41568-018-0087-3 · Cited by 88 · see citing works
MPRAnalyze: statistical framework for massively parallel reporter assays
Ashuach, T., Fischer, D. S., Kreimer, A., Ahituv, N., Theis, F. J., & Yosef, N. (2019) · Genome biology · doi:10.1186/s13059-019-1787-z · Cited by 104 · 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
High resolution genetic mapping of putative causal interactions between regions of open chromatin
Kumasaka, N., Knights, A., & Gaffney, D. (2018) · Nature Genetics · doi:10.1038/s41588-018-0278-6 · Cited by 99 · see citing works
Predicting functional variants in enhancer and promoter elements using RegulomeDB
Dong, S., & Boyle, A. P. (2019) · Human Mutation · doi:10.1002/humu.23791 · Cited by 102 · see citing works
Affinity-optimizing enhancer variants disrupt development
Lim, F., Solvason, J. J., Ryan, G. E., Le, S. H., Jindal, G. A., Steffen, P., Jandu, S. K., & Farley, E. K. (2024) · Nature · doi:10.1038/s41586-023-06922-8 · Cited by 96 · see citing works
Genetic variation in PLEKHG1 is associated with white matter hyperintensities (n = 11,226)
Traylor, M., Tozer, D. J., Croall, I. D., Ford, D., Olorunda, A. O., Boncoraglio, G. B., Dichgans, M., Lemmens, R., Rosand, J. M., Rost, N. S., et al. (2019) · Neurology · doi:10.1212/wnl.0000000000006952 · Cited by 95 · 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
Urtecho, G., Tripp, A. D., Insigne, K. D., Kim, H., & Kosuri, S. (2018) · Biochemistry · doi:10.1021/acs.biochem.7b01069 · Cited by 92 · see citing works
Functional testing of thousands of osteoarthritis-associated variants for regulatory activity
Klein, J. C., Keith, A., Rice, S. J., Shepherd, C., Agarwal, V., Loughlin, J., & Shendure, J. (2019) · Nature Communications · doi:10.1038/s41467-019-10439-y · Cited by 92 · see citing works
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 87 · see citing works
Decoding the genetic and epigenetic basis of asthma
Stikker, B., Hendriks, R. W., & Stadhouders, R. (2023) · Allergy · doi:10.1111/all.15666 · Cited by 95 · see citing works
Degtyareva, A. O., Antontseva, E. V., & Merkulova, T. I. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22126454 · Cited by 88 · see citing works
Wang, Q. S., Kelley, D. R., Ulirsch, J. C., Kanai, M., Sadhuka, S., Cui, R., Albors, C., Cheng, N., Okada, Y., The Biobank Japan Project, et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23134-8 · Cited by 92 · see citing works
Reilly, S. K., Gosai, S. J., Gutierrez, A., Mackay-Smith, A., Ulirsch, J. C., Kanai, M., Mouri, K., Berenzy, D., Kales, S., Butler, G. M., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00900-4 · Cited by 88 · see citing works
Self-citationCurrent challenges in understanding the role of enhancers in disease
Zaugg, J. B., Sahlén, P., Andersson, R., Alberich-Jordà, M., de Laat, W. L., Deplancke, B., Ferrer, J. P., Mandrup, S., Natoli, G., Plewczyński, D., et al. (2022) · Nature Structural & Molecular Biology · doi:10.1038/s41594-022-00896-3 · Cited by 77 · see citing works
Transcriptional enhancers and their communication with gene promoters
Ray-Jones, H., & Spivakov, M. (2021) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-021-03903-w · Cited by 81 · see citing works
Global discovery of lupus genetic risk variant allelic enhancer activity
Lu, X., Chen, X., Forney, C. R., Donmez, O. A., Miller, D., Parameswaran, S., Hong, T., Huang, Y., Pujato, M. A., Cazares, T. A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21854-5 · Cited by 74 · see citing works
A single-cell massively parallel reporter assay detects cell-type-specific gene regulation
Zhao, S., Hong, C. K., Myers, C. A., Granas, D. M., White, M. A., Corbo, J. C., & Cohen, B. A. (2023) · Nature Genetics · doi:10.1038/s41588-022-01278-7 · Cited by 77 · see citing works
Epigenetic and Transcriptional Networks Underlying Atrial Fibrillation
van Ouwerkerk, A. F., Hall, A. W., Kadow, Z. A., Lazarevic, S., Reyat, J. S., Tucker, N. R., Nadadur, R. D., Bosada, F. M., Bianchi, V., Ellinor, P. T., et al. (2020) · Circulation Research · doi:10.1161/circresaha.120.316574 · Cited by 78 · see citing works
Ray, J. P., de Boer, C. G., Fulco, C. P., Lareau, C. A., Kanai, M., Ulirsch, J. C., Tewhey, R., Ludwig, L. S., Reilly, S. K., Bergman, D. T., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15022-4 · Cited by 75 · see citing works
Self-citationMassively parallel characterization of regulatory elements in the developing human cortex
Deng, C., Whalen, S., Steyert, M., Ziffra, R., Przytycki, P. F., Inoue, F., Pereira, D. A., Capauto, D., Norton, S., Vaccarino, F. M., et al. (2024) · Science · doi:10.1126/science.adh0559 · Cited by 72 · see citing works
Backenroth, D., He, Z., Kiryluk, K., Boeva, V., Petukhova, L., Khurana, E., Christiano, A. M., Buxbaum, J. D., & Ionita‐Laza, I. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.03.026 · Cited by 73 · see citing works
The functional and evolutionary impacts of human-specific deletions in conserved elements
Xue, J. R., Mackay-Smith, A., Mouri, K., García, M. F., Dong, M. X., Akers, J. F., Noble, M., Li, X., Lindblad‐Toh, K., Karlsson, E. K., et al. (2023) · Science · doi:10.1126/science.abn2253 · Cited by 74 · see citing works
Self-citationThe cis-regulatory effects of modern human-specific variants
Weiss, C. V., Harshman, L., Inoue, F., Fraser, H. B., Petrov, D. A., Ahituv, N., & Gokhman, D. (2021) · eLife · doi:10.7554/elife.63713 · Cited by 70 · see citing works
Mouri, K., Guo, M. H., de Boer, C. G., Lissner, M. M., Harten, I. A., Newby, G. A., DeBerg, H. A., Platt, W. F., Gentili, M., Liu, D. R., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01056-5 · Cited by 71 · 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
Fine-mapping cis-regulatory variants in diverse human populations
Tehranchi, A. K., Hie, B., Dacre, M., Kaplow, I. M., Pettie, K. P., Combs, P. A., & Fraser, H. B. (2019) · eLife · doi:10.7554/elife.39595 · Cited by 65 · see citing works
Apellániz-Ruiz, M., McCluggage, W. G., & Foulkes, W. D. (2020) · Genes Chromosomes and Cancer · doi:10.1002/gcc.22913 · Cited by 68 · see citing works
Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk
Reshef, Y. A., Finucane, H. K., Kelley, D. R., Gusev, A., Kotliar, D., Ulirsch, J. C., Hormozdiari, F., Nasser, J., O’Connor, L., van de Geijn, B., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0196-7 · Cited by 68 · see citing works
Zhu, Y., Tazearslan, C., & Suh, Y. (2017) · Experimental Biology and Medicine · doi:10.1177/1535370217713750 · Cited by 64 · see citing works
Functional characterization of enhancer evolution in the primate lineage
Klein, J. C., Keith, A., Agarwal, V., Durham, T., & Shendure, J. (2018) · Genome Biology · doi:10.1186/s13059-018-1473-6 · Cited by 63 · see citing works
Hoffman, G. E., Bendl, J. M., Girdhar, K., Schadt, E. E., & Roussos, P. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz808 · Cited by 62 · see citing works
Cis and trans effects differentially contribute to the evolution of promoters and enhancers
Mattioli, K., Oliveros, W., Gerhardinger, C., Andergassen, D., Maass, P., Rinn, J., & Melé, M. (2020) · Genome Biology · doi:10.1186/s13059-020-02110-3 · Cited by 41 · see citing works
Yu, T. C., Liu, W. L., Brinck, M. S., Davis, J. E., Shek, J., Bower, G., Einav, T., Insigne, K. D., Phillips, R., Kosuri, S., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20094-3 · Cited by 59 · see citing works
Leveraging massively parallel reporter assays for evolutionary questions
Romero, I. G., & Lea, A. J. (2023) · Genome biology · doi:10.1186/s13059-023-02856-6 · Cited by 62 · see citing works
The effect of genetic variation on promoter usage and enhancer activity
Garieri, M., Delaneau, O., Santoni, F. A., Fish, R. J., Mull, D., Carninci, P., Dermitzakis, E. T., Antonarakis, S. E., & Fort, A. (2017) · Nature Communications · doi:10.1038/s41467-017-01467-7 · Cited by 59 · see citing works
Zhang, S., He, Y., Liu, H., Zhai, H., Huang, D., Yi, X., Dong, X., Wang, Z., Zhao, K., Zhou, Y., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz774 · Cited by 57 · see citing works
Findlay, G. M. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab219 · Cited by 55 · see citing works
Xiao, F., Zhang, X., Morton, S. U., Kim, S. W., Fan, Y., Gorham, J., Zhang, H., Berkson, P., Mazumdar, N., Cao, Y., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01669-y · Cited by 56 · see citing works
Recent advances in high-throughput approaches to dissect enhancer function
Santiago‐Algarra, D., Dao, L. T. M., Pradel, L. C., España, A. P., & Spicuglia, S. (2017) · F1000Research · doi:10.12688/f1000research.11581.1 · Cited by 56 · see citing works
Shigaki, D., Adato, O., Adhikari, A. N., Dong, S., Hawkins‐Hooker, A., Inoue, F., Juven‐Gershon, T., Kenlay, H., Martin, B., Patra, A., et al. (2019) · Human Mutation · doi:10.1002/humu.23797 · Cited by 56 · see citing works
The Molecular Basis of Human Brain Evolution
Enard, W. (2016) · Current Biology · doi:10.1016/j.cub.2016.09.030 · Cited by 55 · see citing works
He, Z., Xu, B., Lee, S., & Ionita‐Laza, I. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.07.011 · Cited by 54 · see citing works
Lamichhaney, S., Card, D. C., Grayson, P., Tonini, J. F. R., Bravo, G. A., Näpflin, K., Termignoni‐García, F., Torres, C. R., Burbrink, F. T., Clarke, J. A., et al. (2019) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2018.0248 · Cited by 53 · see citing works
Massively parallel techniques for cataloguing the regulome of the human brain
Townsley, K. G., Brennand, K., & Huckins, L. M. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00740-1 · Cited by 52 · see citing works
Context-specific effects of genetic variants associated with autoimmune disease
Jonkers, I. H., & Wijmenga, C. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx254 · Cited by 49 · see citing works
Deregulated Regulators: Disease-Causing cis Variants in Transcription Factor Genes
van der Lee, R., Correard, S., & Wasserman, W. W. (2020) · Trends in Genetics · doi:10.1016/j.tig.2020.04.006 · Cited by 51 · see citing works
- Authors
- Tewhey, R., Kotliar, D., Park, D. S., Liu, B., Winnicki, S., Reilly, S. K., Andersen, K. G., Mikkelsen, T. S., Lander, E. S., Schaffner, S. F., & Sabeti, P. C.
- Affiliations
- Broad Institute (US)
- Corresponding author
- Tewhey, Ryan
- Sabeti, Pardis C.
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2016-06
- Volume
- 165
- Issue
- 6
- Pages
- 1519-1529
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4957403
- OpenAlex
- W2412481123
- Cited by
- 480
- References
- 37
- Citations by year
- 2026: 39 · 2025: 50 · 2024: 66 · 2023: 39 · 2022: 42 · 2021: 46 · 2020: 53 · 2019: 51 · 2018: 39 · 2017: 42 · 2016: 13
- FWCI
- 39.05
- Type
- journal article
- Language
- en
- Update notices
- erratum (2018-02-22)
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health (1dp2od006514-01)
- National Human Genome Research Institute (F32HG009226, K99HG008179, R01HG006785)
- National Institute of General Medical Sciences (T32GM007753)
- National Institute of Allergy and Infectious Diseases (U19AI110818, R01AI114855)
- 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
- massively parallel reporter assay, cis-eQTL, non-coding variants, gene expression regulation, regulatory function, ankylosing spondylitis, non-coding polymorphisms
- MeSH terms
- Alleles, Gene Expression Regulation, Genetic Techniques, Humans, Sensitivity and Specificity, Spondylitis, Ankylosing, Genetic Variation, Gene Library, Genes, Reporter, Genetic Diseases, Inborn, Quantitative Trait Loci, Hep G2 Cells
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