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Common Regulatory Variation Impacts Gene Expression in a Cell Type–Dependent Manner
Open accessAbstract
Tissue-Specific Control: The effect of genetic variation on gene expression and phenotype among individuals is largely unknown. Dimas et al. (p. 1246 , published online 30 July 2009) show that in humans there are several genes whose allelic expression varies in a tissue-specific manner and are apparently controlled by cis elements. Up to 80% of variants seem to have tissue-specific functions when compared in fibroblasts, as well as B cells and T cells. This variation among regulatory variants correlated with transcript complexity, which suggests that some of the observed regulatory variation is due to genotype-specific use of transcripts and transcription start sites.
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Cites
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
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
Lohmueller, K. E., Pearce, C. L., Pike, M., Lander, E. S., & Hirschhorn, J. N. (2003) · Nature Genetics · doi:10.1038/ng1071 · Cited by 1,900
Why Most Discovered True Associations Are Inflated
Ioannidis, J. P. A. (2008) · Epidemiology · doi:10.1097/ede.0b013e31818131e7 · Cited by 1,495
Genetics of gene expression and its effect on disease
Emilsson, V., Thorleifsson, G., Zhang, B., Leonardson, A. S., Zink, F., Zhu, J., Carlson, S., Helgason, A., Walters, G. B., Gunnarsdottir, S., et al. (2008) · Nature · doi:10.1038/nature06758 · Cited by 1,296
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
Self-citationLarge Upward Bias in Estimation of Locus-Specific Effects from Genomewide Scans
Göring, H. H. H., Terwilliger, J. D., & Blangero, J. (2001) · The American Journal of Human Genetics · doi:10.1086/324471 · Cited by 483
A survey of genetic human cortical gene expression
Myers, A. J., Gibbs, J. R., Webster, J. A., Rohrer, K., Zhao, A., Marlowe, L., Kaleem, M., Leung, D., Bryden, L., Nath, P., et al. (2007) · Nature Genetics · doi:10.1038/ng.2007.16 · Cited by 479
Cited by
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science · doi:10.1126/science.1262110 · Cited by 5,062
Self-citationGiambartolomei, C., Vukcevic, D., Schadt, E. E., Franke, L., Hingorani, A. D., Wallace, C., & Plagnol, V. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004383 · Cited by 4,261
Annotation of functional variation in personal genomes using RegulomeDB
Boyle, A. P., Hong, E. L., Hariharan, M., Cheng, Y., Schaub, M. A., Kasowski, M., Karczewski, K. J., Park, J., Hitz, B. C., Weng, S., et al. (2012) · Genome Research · doi:10.1101/gr.137323.112 · Cited by 2,722
Integrative approaches for large-scale transcriptome-wide association studies
Gusev, A., Ko, A., Shi, H., Bhatia, G., Chung, W., Penninx, B. W. J. H., Jansen, R., de Geus, E. J. C., Boomsma, D. I., Wright, F. A., et al. (2016) · Nature Genetics · doi:10.1038/ng.3506 · Cited by 2,479
Visscher, P. M., Brown, M. A., McCarthy, M. I., & Yang, J. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.11.029 · Cited by 2,425
Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
The MAGIC investigators, Voight, B. F., The GIANT Consortium, Scott, L. J., Steinthorsdottir, V., Morris, A. P., Dina, C., Welch, R. P., Zeggini, E., Huth, C., et al. (2010) · Nature Genetics · doi:10.1038/ng.609 · Cited by 1,761
Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility
International Multiple Sclerosis Genetics Consortium, Patsopoulos, N. A., Baranzini, S. E., Santaniello, A., Shoostari, P., Cotsapas, C., Wong, G., Beecham, A. H., James, T., Replogle, J., et al. (2019) · Science · doi:10.1126/science.aav7188 · Cited by 1,471
Caspi, A., Hariri, A. R., Holmes, A., Uher, R., & Moffitt, T. E. (2010) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2010.09101452 · Cited by 1,346
Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS
Nicolae, D. L., Gamazon, E., Zhang, W., Duan, S., Dolan, M. E., & Cox, N. J. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000888 · Cited by 1,292
The role of regulatory variation in complex traits and disease
Albert, F. W., & Kruglyak, L. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3891 · Cited by 1,047
Kukurba, K. R., & Montgomery, S. B. (2015) · Cold Spring Harbor Protocols · doi:10.1101/pdb.top084970 · Cited by 924
Self-citationThe 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
DNA methylation patterns associate with genetic and gene expression variation in HapMap cell lines
Bell, J. T., Pai, A. A., Pickrell, J. K., Gaffney, D. J., Pique-Regi, R., Degner, J. F., Gilad, Y., & Pritchard, J. K. (2011) · Genome Biology · doi:10.1186/gb-2011-12-1-r10 · Cited by 838
Abundant quantitative trait loci exist for DNA methylation and gene expression in human brain
Gibbs, J. R., van der Brug, M. P., Hernandez, D. G., Traynor, B. J., Nalls, M. A., Lai, S.-L., Arepalli, S., Dillman, A., Rafferty, I. P., Troncoso, J., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000952 · Cited by 769
(2012) · The Lancet · doi:10.1016/s0140-6736(11)61931-4 · Cited by 823
Mapping cis- and trans-regulatory effects across multiple tissues in twins
The Multiple Tissue Human Expression Resource (MuTHER) Consortium, Grundberg, E., Small, K. S., Hedman, Å. K., Nica, A. C., Buil, A., Keildson, S., Bell, J. T., Yang, T.-P., Meduri, E., et al. (2012) · Nature Genetics · doi:10.1038/ng.2394 · Cited by 729
Self-citationBeyond GWASs: Illuminating the Dark Road from Association to Function
Edwards, S. L., Beesley, J., French, J. D., & Dunning, A. M. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.10.012 · Cited by 784
Innate Immune Activity Conditions the Effect of Regulatory Variants upon Monocyte Gene Expression
Fairfax, B. P., Humburg, P., Makino, S., Naranbhai, V., Wong, D., Lau, E., Jostins, L., Plant, K., Andrews, R., McGee, C., et al. (2014) · Science · doi:10.1126/science.1246949 · Cited by 764
Battle, A., Mostafavi, S., Zhu, X., Potash, J. B., Weissman, M. M., McCormick, C., Haudenschild, C. D., Beckman, K. B., Shi, J., Mei, R., et al. (2014) · Genome Research · doi:10.1101/gr.155192.113 · Cited by 547
Self-citationParent-of-origin-specific allelic associations among 106 genomic loci for age at menarche
Study, A. O. C., Perry, J. R. B., The GENICA Network, kConFab, Study, T. L. C., The InterAct Consortium, Early Growth Genetics (EGG) Consortium, Day, F., Elks, C. E., Sulem, P., et al. (2014) · Nature · doi:10.1038/nature13545 · Cited by 604
Common genetic variation drives molecular heterogeneity in human iPSCs
Kilpinen, H., Goncalves, A., Leha, A., Afzal, V., Alasoo, K., Ashford, S., Bala, S., Bensaddek, D., Casale, F. P., Culley, O. J., et al. (2017) · Nature · doi:10.1038/nature22403 · Cited by 586
Progress and promise of genome-wide association studies for human complex trait genetics
Stranger, B. E., Stahl, E. A., & Raj, T. (2011) · Genetics · doi:10.1534/genetics.110.120907 · Cited by 567
Self-citationFairfax, B. P., Makino, S., Radhakrishnan, J., Plant, K., Leslie, S., Dilthey, A., Ellis, P., Langford, C., Vannberg, F. O., & Knight, J. C. (2012) · Nature Genetics · doi:10.1038/ng.2205 · Cited by 486
Passive and active DNA methylation and the interplay with genetic variation in gene regulation
Gutierrez-Arcelus, M., Lappalainen, T., Montgomery, S. B., Buil, A., Ongen, H., Yurovsky, A., Bryois, J., Giger, T., Romano, L., Planchon, A., et al. (2013) · eLife · doi:10.7554/elife.00523 · Cited by 440
Self-citationPatterns of Cis Regulatory Variation in Diverse Human Populations
Stranger, B. E., Montgomery, S. B., Dimas, A. S., Parts, L., Stegle, O., Ingle, C. E., Sekowska, M., Smith, G. D., Evans, D., Gutierrez-Arcelus, M., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002639 · Cited by 470
Self-citationQi, T., Wu, Y., Zeng, J., Zhang, F., Xue, A., Jiang, L., Zhu, Z., Kemper, K., Yengo, L., Zheng, Z., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04558-1 · Cited by 427
Grundberg, E., Meduri, E., Sandling, J. K., Hedman, Å. K., Keildson, S., Buil, A., Busche, S., Yuan, W., Nisbet, J., Sekowska, M., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.10.004 · Cited by 370
Self-citationSystematic differences in discovery of genetic effects on gene expression and complex traits
Mostafavi, H., Spence, J. P., Naqvi, S., & Pritchard, J. K. (2023) · Nature Genetics · doi:10.1038/s41588-023-01529-1 · Cited by 336
Ahmadiyeh, N., Pomerantz, M. M., Grisanzio, C., Herman, P., Jia, L., Almendro, V., He, H. H., Brown, M., Liu, X. S., Davis, M., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0910668107 · Cited by 336
Disease-Associated Mutations That Alter the RNA Structural Ensemble
Halvorsen, M., Martin, J. S., Broadaway, S., & Laederach, A. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001074 · Cited by 325
Tsaprouni, L. G., Yang, T.-P., Bell, J., Dick, K. J., Kanoni, S., Nisbet, J., Viñuela, A., Grundberg, E., Nelson, C. P., Meduri, E., et al. (2014) · Epigenetics · doi:10.4161/15592294.2014.969637 · Cited by 319
Self-citationDomains of genome-wide gene expression dysregulation in Down’s syndrome
Letourneau, A., Santoni, F. A., Bonilla, X., Sailani, M. R., Gonzalez, D., Kind, J., Chevalier, C., Thurman, R., Sandstrom, R. S., Hibaoui, Y., et al. (2014) · Nature · doi:10.1038/nature13200 · Cited by 319
Self-citationSchroder, K., Irvine, K. M., Taylor, M. S., Bokil, N. J., Le Cao, K.-A., Masterman, K.-A., Labzin, L. I., Semple, C. A., Kapetanovic, R., Fairbairn, L., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110156109 · Cited by 308
Genome-wide allele-specific analysis: insights into regulatory variation
Pastinen, T. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2815 · Cited by 291
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Cardiogenics Consortium, Heinig, M., Petretto, E., Wallace, C., Bottolo, L., Rotival, M., Lu, H., Li, Y., Sarwar, R., Langley, S. R., et al. (2010) · Nature · doi:10.1038/nature09386 · Cited by 283
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Roussos, P., Mitchell, A. C., Voloudakis, G., Fullard, J. F., Pothula, V. M., Tsang, J., Stahl, E. A., Georgakopoulos, A., Ruderfer, D. M., Charney, A., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.10.015 · Cited by 251
Estimating the causal tissues for complex traits and diseases
GTEx Consortium, Ongen, H., Brown, A. A., Delaneau, O., Panousis, N. I., Nica, A. C., & Dermitzakis, E. T. (2017) · Nature Genetics · doi:10.1038/ng.3981 · Cited by 198
Self-citationThe road to precision psychiatry: translating genetics into disease mechanisms
Gandal, M. J., Leppa, V., Won, H., Parikshak, N. N., & Geschwind, D. H. (2016) · Nature Neuroscience · doi:10.1038/nn.4409 · Cited by 223
The study of eQTL variations by RNA-seq: from SNPs to phenotypes
Majewski, J., & Pastinen, T. (2011) · Trends in Genetics · doi:10.1016/j.tig.2010.10.006 · Cited by 232
Understanding type 1 diabetes through genetics: advances and prospects
Polychronakos, C., & Li, Q. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3069 · Cited by 226
van Meurs, J. B., Pare, G., Schwartz, S. M., Hazra, A., Tanaka, T., Vermeulen, S. H., Cotlarciuc, I., Yuan, X., Mälarstig, A., Bandinelli, S., et al. (2013) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.112.044545 · Cited by 198
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Wissemann, W. T., Hill-Burns, E. M., Zabetian, C. P., Factor, S. A., Patsopoulos, N., Hoglund, B., Holcomb, C., Donahue, R. J., Thomson, G., Erlich, H., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.10.009 · Cited by 189
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Nica, A. C., Ongen, H., Irminger, J.-C., Bosco, D., Berney, T., Antonarakis, S. E., Halban, P. A., & Dermitzakis, E. T. (2013) · Genome Research · doi:10.1101/gr.150706.112 · Cited by 189
Self-citationDing, J., Gudjonsson, J. E., Liang, L., Stuart, P. E., Li, Y., Chen, W., Weichenthal, M., Ellinghaus, E., Franke, A., Cookson, W., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.10.024 · Cited by 180
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Niu, N., & Wang, L. (2015) · Pharmacogenomics · doi:10.2217/pgs.14.170 · Cited by 162
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Borel, C., Ferreira, P. G., Santoni, F., Delaneau, O., Fort, A., Popadin, K. Y., Garieri, M., Falconnet, E., Ribaux, P., Guipponi, M., et al. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.12.001 · Cited by 120
Self-citationThe effects of EBV transformation on gene expression levels and methylation profiles
Çalışkan, M., Cusanovich, D. A., Ober, C., & Gilad, Y. (2011) · Human Molecular Genetics · doi:10.1093/hmg/ddr041 · Cited by 134
Carrasquillo, M. M., Nicholson, A. M., Finch, N., Gibbs, J. R., Baker, M., Rutherford, N. J., Hunter, T. A., DeJesus-Hernandez, M., Bisceglio, G. D., Mackenzie, I. R., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.11.002 · Cited by 130
Okada, S., Morinobu, S., Fuchikami, M., Segawa, M., Yokomaku, K., Kataoka, T., Okamoto, Y., Yamawaki, S., Inoue, T., Kusumi, I., et al. (2014) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.02.002 · Cited by 125
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Romanoski, C. E., Lee, S., Kim, M. J., Ingram-Drake, L., Plaisier, C. L., Yordanova, R., Tilford, C., Guan, B., He, A., Gargalovic, P. S., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.02.002 · Cited by 111
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Ganesh, S. K., Chasman, D. I., Larson, M. G., Guo, X., Verwoert, G., Bis, J. C., Gu, X., Smith, A. V., Yang, M.-L., Zhang, Y., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.06.002 · Cited by 71
Self-citationAlcina, A., Fedetz, M., Fernández, Ó., Saiz, A., Izquierdo, G., Lucas, M., Leyva, L., García-León, J.-A., Abad-Grau, M. D. M., Alloza, I., et al. (2013) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2012-101085 · Cited by 69
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Vollrath, D., Yasumura, D., Benchorin, G., Matthes, M. T., Feng, W., Nguyen, N. M., Sedano, C. D., Calton, M. A., & LaVail, M. M. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005723 · Cited by 66
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Schramm, K., Marzi, C., Schurmann, C., Carstensen, M., Reinmaa, E., Biffar, R., Eckstein, G., Gieger, C., Grabe, H.-J., Homuth, G., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093844 · Cited by 33
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Fujita, M., Gao, Z., Zeng, L., McCabe, C., White, C. C., Ng, B., Green, G. S., Rozenblatt-Rosen, O., Phillips, D., Amir-Zilberstein, L., et al. (2022) · doi:10.1101/2022.11.07.515446 · Cited by 36
SingleBrain: A Meta-Analysis of Single-Nucleus eQTLs Linking Genetic Risk to Brain Disorders
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“The lead eQTL SNPs are predominantly located near the transcription start sites of their target genes 18,19 ( Supplementary Figure 4 ).”
Metadata
- Authors
- Dimas, A. S., Deutsch, S., Stranger, B. E., Montgomery, S. B., Borel, C., Attar-Cohen, H., Ingle, C., Beazley, C., Arcelus, M. G., Sekowska, M., Gagnebin, M., Nisbett, J., Deloukas, P., Dermitzakis, E. T., & Antonarakis, S. E.
- Venue
- Science
- Published
- 2009-09-04
- Volume
- 325
- Issue
- 5945
- Pages
- 1246-1250
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2069298307
- Cited by
- 745
- References
- 10
- FWCI
- 38.67
- Type
- journal article
- Language
- en
- Open access
- green
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