The study of eQTL variations by RNA-seq: from SNPs to phenotypes
Abstract
Common DNA variants alter the expression levels and patterns of many human genes. Loci responsible for this genetic control are known as expression quantitative trait loci (eQTLs). The resulting variation of gene expression across individuals has been postulated to be a determinant of phenotypic variation and susceptibility to complex disease. In the past, the application of expression microarray and genetic variation data to study populations enabled the rapid identification of eQTLs in model organisms and humans. Now, a new technology promises to revolutionize the field. Massively parallel RNA sequencing (RNA-seq) provides unprecedented resolution, allowing us to accurately monitor not only the expression output of each genomic locus but also reconstruct and quantify alternatively spliced transcripts. RNA-seq also provides new insights into the regulatory mechanisms underlying eQTLs. Here, we discuss the major advances introduced by RNA-seq and summarize current progress towards understanding the role of eQTLs in determining human phenotypic diversity.
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eQTL analysis shows gene expression and splicing are heavily influenced by common variants, possibly for most transcripts.
“eQTL analysis shows that gene expression and splicing are heavily influenced by common variants, possibly for the majority of transcripts86–88.”
From Rare and common variants: twenty arguments (2012) · cites this paper as [87]
Cites
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
RNA-Seq: a revolutionary tool for transcriptomics
Wang, Z., Gerstein, M., & Snyder, M. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2484 · Cited by 13,174 · 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
Alternative isoform regulation in human tissue transcriptomes
Wang, E. T., Sandberg, R., Luo, S., Khrebtukova, I., Zhang, L., Mayr, C., Kingsmore, S. F., Schroth, G. P., & Burge, C. B. (2008) · Nature · doi:10.1038/nature07509 · Cited by 5,181 · see citing works
Minimum information about a microarray experiment (MIAME)-toward standards for microarray data
Brazma, A., Hingamp, P., Quackenbush, J., Sherlock, G., Spellman, P., Stoeckert, C., Aach, J., Ansorge, W., Ball, C. A., Causton, H. C., et al. (2001) · Nature Genetics · doi:10.1038/ng1201-365 · Cited by 4,109 · see citing works
Hindorff, L. A., Sethupathy, P., Junkins, H. A., Ramos, E. M., Mehta, J. P., Collins, F. S., & Manolio, T. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903103106 · Cited by 4,013 · see citing works
ChIP–seq: advantages and challenges of a maturing technology
Park, P. J. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2641 · Cited by 2,217 · see citing works
Expansion of the eukaryotic proteome by alternative splicing
Nilsen, T. W., & Graveley, B. R. (2010) · Nature · doi:10.1038/nature08909 · Cited by 2,172 · see citing works
Maximum Entropy Modeling of Short Sequence Motifs with Applications to RNA Splicing Signals
Yeo, G. W.-M., & Burge, C. B. (2004) · Journal of Computational Biology · doi:10.1089/1066527041410418 · Cited by 2,042 · see citing works
Genetics of gene expression surveyed in maize, mouse and man
Schadt, E., Monks, S. A., Drake, T., Lusis, A., Che, N., Colinayo, V. V., Ruff, T., Milligan, S. B., Lamb, J., Cavet, G., et al. (2003) · Nature · doi:10.1038/nature01434 · Cited by 1,594 · see citing works
Botstein, D., & Risch, N. (2003) · Nature Genetics · doi:10.1038/ng1090 · Cited by 1,503 · see citing works
Genetic Mapping in Human Disease
Altshuler, D., Daly, M. J., & Lander, E. S. (2008) · Science · doi:10.1126/science.1156409 · Cited by 1,452 · see citing works
Bosma, P. J., Chowdhury, J. R., Bakker, C., Gantla, S., Boer, A. M. T., Oostra, B. A., Lindhout, D., Tytgat, G. N. J., Jansen, P. L. M., Elferink, R. P. J. O., et al. (1995) · New England Journal of Medicine · doi:10.1056/nejm199511023331802 · Cited by 1,439 · see citing works
Genetic Dissection of Transcriptional Regulation in Budding Yeast
Brem, R. B., Yvert, G., Clinton, R., & Kruglyak, L. (2002) · Science · doi:10.1126/science.1069516 · Cited by 1,392 · see citing works
Sandberg, R., Neilson, J. R., Sarma, A., Sharp, P. A., & Burge, C. B. (2008) · Science · doi:10.1126/science.1155390 · Cited by 1,349 · see citing works
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 · see citing works
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 · see citing works
Understanding 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
Pre-mRNA splicing and human diseasePreprint
Faustino, N. A., & Cooper, T. A. (2003) · Genes & Development · doi:10.1101/gad.1048803 · Cited by 1,248 · see citing works
Genetic analysis of genome-wide variation in human gene expression
Morley, M. P., Molony, C. M., Weber, T. M., Devlin, J. L., Ewens, K. G., Spielman, R. S., & Cheung, V. G. (2004) · Nature · doi:10.1038/nature02797 · Cited by 1,207 · 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
Lu, P., Vogel, C., Wang, R., Yao, X., & Marcotte, E. M. (2007) · Nature Biotechnology · doi:10.1038/nbt1270 · Cited by 1,139 · 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
Identification of a variant associated with adult-type hypolactasia
Enattah, N. S., Sahi, T., Savilahti, E., Terwilliger, J. D., Peltonen, L., & Järvelä, I. E. (2002) · Nature Genetics · doi:10.1038/ng826 · Cited by 1,029 · see citing works
A window into third-generation sequencing
Schadt, E. E., Turner, S., & Kasarskis, A. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq416 · Cited by 960 · see citing works
A genome-wide association study of global gene expression
Dixon, A. L., Liang, L., Moffatt, M. F., Chen, W., Heath, S. C., Wong, K., Taylor, J. C., Burnett, E. C., Gut, I. G., Farrall, M., et al. (2007) · Nature Genetics · doi:10.1038/ng2109 · Cited by 946 · see citing works
Variations in DNA elucidate molecular networks that cause disease
Chen, Y., Zhu, J., Lum, P. Y., Yang, X., Pinto, S., MacNeil, D. J., Zhang, C., Lamb, J., Edwards, S., Sieberts, S. K., et al. (2008) · Nature · doi:10.1038/nature06757 · Cited by 887 · see citing works
Evolutionary changes in cis and trans gene regulation
Wittkopp, P. J., Haerum, B. K., & Clark, A. G. (2004) · Nature · doi:10.1038/nature02698 · Cited by 873 · see citing works
Dressman, D. C., Yan, H., Traverso, G., Kinzler, K. W., & Vogelstein, B. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1133470100 · Cited by 845 · 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
Tournamille, C., Colin, Y., Cartron, J. P., & Le Van Kim, C. (1995) · Nature Genetics · doi:10.1038/ng0695-224 · Cited by 741 · see citing works
Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum
Gieger, C., Geistlinger, L., Altmaier, E., Hrabé de Angelis, M., Kronenberg, F., Meitinger, T., Mewes, H.-W., Wichmann, H.-E., Weinberger, K. M., Adamski, J., et al. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000282 · Cited by 737 · see citing works
Common Regulatory Variation Impacts Gene Expression in a Cell Type–Dependent Manner
Dimas, A. S., Deutsch, S., Stranger, B. E., Montgomery, S. B., Borel, C., Attar, H., Ingle, C., Beazley, C., Arcelus, M. G., Sekowska, M., et al. (2009) · Science · doi:10.1126/science.1174148 · Cited by 729 · see citing works
Allelic Variation in Human Gene Expression
Yan, H., Yuan, W., Velculescu, V. E., Vogelstein, B., & Kinzler, K. W. (2002) · Science · doi:10.1126/science.1072545 · Cited by 625 · see citing works
Distinguishing protein-coding and noncoding genes in the human genome
Clamp, M., Fry, B., Kamal, M., Xie, X., Cuff, J., Lin, M. F., Kellis, M., Lindblad-Toh, K., & Lander, E. S. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709013104 · Cited by 624 · see citing works
Meta-analysis and imputation refines the association of 15q25 with smoking quantity
The Wellcome Trust Case Control Consortium, Liu, J. Z., Tozzi, F., Waterworth, D. M., Pillai, S. G., Muglia, P., Middleton, L., Berrettini, W., Knouff, C. W., Yuan, X., et al. (2010) · Nature Genetics · doi:10.1038/ng.572 · Cited by 614 · see citing works
Options and considerations when selecting a quantitative proteomics strategy
Domon, B., & Aebersold, R. H. (2010) · Nature Biotechnology · doi:10.1038/nbt.1661 · Cited by 601 · see citing works
Mapping determinants of human gene expression by regional and genome-wide association
Cheung, V. G., Spielman, R. S., Ewens, K. G., Weber, T. M., Morley, M. P., & Burdick, J. T. (2005) · Nature · doi:10.1038/nature04244 · Cited by 588 · see citing works
Genetics and Beyond – The Transcriptome of Human Monocytes and Disease Susceptibility
Zeller, T., Wild, P. S., Szymczak, S., Rotival, M., Schillert, A., Castagné, R., Maouche, S., Germain, M., Lackner, K. J., Rossmann, H., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010693 · Cited by 584 · see citing works
Natural variation in human gene expression assessed in lymphoblastoid cells
Cheung, V. G., Conlin, L. K., Weber, T. M., Arcaro, M., Jen, K., Morley, M. P., & Spielman, R. S. (2003) · Nature Genetics · doi:10.1038/ng1094 · Cited by 550 · 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
Genome-Wide Associations of Gene Expression Variation in Humans
Stranger, B. E., Forrest, M. S., Clark, A. G., Minichiello, M. J., Deutsch, S., Lyle, R., Hunt, S. E., Kahl, B. F., Antonarakis, S. E., Tavaré, S., et al. (2005) · PLoS Genetics · doi:10.1371/journal.pgen.0010078 · Cited by 519 · see citing works
Discovery of expression QTLs using large-scale transcriptional profiling in human lymphocytes
Göring, H. H. H., Curran, J. E., Johnson, M. P., Dyer, T. D., Charlesworth, J., Cole, S. A., Jowett, J. B. M., Abraham, L. J., Rainwater, D. L., Comuzzie, A. G., et al. (2007) · Nature Genetics · doi:10.1038/ng2119 · Cited by 503 · see citing works
Effect of read-mapping biases on detecting allele-specific expression from RNA-sequencing data.
Degner, J. F., Marioni, J. C., Pai, A. A., Pickrell, J. K., Nkadori, E., Gilad, Y., & Pritchard, J. K. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp579 · Cited by 502 · see citing works
A genome-wide association study identifies protein quantitative trait loci (pQTLs)
Melzer, D., Perry, J. R. B., Hernandez, D., Corsi, A.-M., Stevens, K., Rafferty, I., Lauretani, F., Murray, A., Gibbs, J. R., Paolisso, G., et al. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000072 · Cited by 480 · see citing works
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 · see citing works
Statistical inferences for isoform expression in RNA-Seq
Jiang, H., & Wong, W. H. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp113 · Cited by 453 · see citing works
Graham, R. R., Kyogoku, C., Sigurdsson, S., Vlasova, I. A., Davies, L. R. L., Baechler, E. C., Plenge, R. M., Koeuth, T., Ortmann, W. A., Hom, G., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701266104 · Cited by 450 · see citing works
Nica, A. C., Montgomery, S. B., Dimas, A. S., Stranger, B. E., Beazley, C., Barroso, I., & Dermitzakis, E. T. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000895 · Cited by 423 · see citing works
Genetic basis of proteome variation in yeast
Foss, E. J., Radulovic, D., Shaffer, S. A., Ruderfer, D. M., Bedalov, A., Goodlett, D. R., & Kruglyak, L. (2007) · Nature Genetics · doi:10.1038/ng.2007.22 · Cited by 358 · see citing works
Genetic Inheritance of Gene Expression in Human Cell Lines
Monks, S. A., Leonardson, A. S., Zhu, H., Cundiff, P., Pietrusiak, P., Edwards, S. W., Phillips, J. W., Sachs, A. B., & Schadt, E. E. (2004) · The American Journal of Human Genetics · doi:10.1086/426461 · Cited by 354 · see citing works
Sex-Specific Parent-of-Origin Allelic Expression in the Mouse Brain
Gregg, C. J., Zhang, J., Butler, J. E., Haig, D., & Dulac, C. G. (2010) · Science · doi:10.1126/science.1190831 · Cited by 347 · see citing works
Castle, J. C., Zhang, C., Shah, J. K., Kulkarni, A., Kalsotra, A., Cooper, T. A., & Johnson, J. M. (2008) · Nature Genetics · doi:10.1038/ng.264 · Cited by 319 · see citing works
Heritable Individual-Specific and Allele-Specific Chromatin Signatures in Humans
McDaniell, R., Lee, B.-K., Song, L., Liu, Z., Boyle, A. P., Erdos, M. R., Scott, L. J., Morken, M. A., Kucera, K. S., Battenhouse, A., et al. (2010) · Science · doi:10.1126/science.1184655 · Cited by 308 · see citing works
Alternative expression analysis by RNA sequencing
Griffith, M., Griffith, O. L., Mwenifumbo, J. C., Goya, R., Morrissy, A. S., Morin, R. D., Corbett, R., Tang, M., Hou, Y. C., Pugh, T. J., et al. (2010) · Nature Methods · doi:10.1038/nmeth.1503 · Cited by 306 · see citing works
Genome-wide analysis of transcript isoform variation in humans
Kwan, T., Benovoy, D., Dias, C., Gurd, S., Provencher, C., Beaulieu, P., Hudson, T. J., SLADEK, R. M., & Majewski, J. (2008) · Nature Genetics · doi:10.1038/ng.2007.57 · Cited by 305 · see citing works
Self-citationDistribution and Characterization of Regulatory Elements in the Human GenomePreprint
Majewski, J., & Ott, J. (2002) · Genome Research · doi:10.1101/gr.606402 · Cited by 304 · see citing works
Self-citationTissue-Specific Genetic Control of Splicing: Implications for the Study of Complex Traits
Heinzen, E. L., Ge, D., Cronin, K. D., Maia, J. M., Shianna, K. V., Gabriel, W. N., Welsh-Bohmer, K. A., Hulette, C. M., Denny, T. N., & Goldstein, D. B. (2008) · PLoS Biology · doi:10.1371/journal.pbio.1000001 · Cited by 269 · see citing works
Cis-Acting Regulatory Variation in the Human Genome
Pastinen, T., & Hudson, T. J. (2004) · Science · doi:10.1126/science.1101659 · Cited by 265 · see citing works
Self-citationThe Coupling of Alternative Splicing and Nonsense-Mediated mRNA Decay
Lareau, L. F., Brooks, A. N., Soergel, D. A. W., Qi, M., & Brenner, S. E. (2007) · Advances in experimental medicine and biology · doi:10.1007/978-0-387-77374-2_12 · Cited by 253 · see citing works
Emison, E. S., Garcia-Barceló, M., Grice, E. A., Lantieri, F., Amiel, J., Burzynski, G. M., Fernández, R. M., Li, H., Kashuk, C., West, K. M., et al. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.06.007 · Cited by 239 · see citing works
Comparative Functional Analysis of the Caenorhabditis elegans and Drosophila melanogaster Proteomes
Schrimpf, S. P., Weiss, M., Reiter, L., Ahrens, C. H., Jovanovic, M., Malmström, J., Brunner, E., Mohanty, S., Lercher, M. J., Hunziker, P. E., et al. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000048 · Cited by 229 · see citing works
Functional intronic polymorphisms: Buried treasure awaiting discovery within our genes
Cooper, D. N. (2010) · Human Genomics · doi:10.1186/1479-7364-4-5-284 · Cited by 224 · see citing works
Genetic analysis of radiation-induced changes in human gene expression
Smirnov, D., Morley, M., Shin, E., Spielman, R., & Cheung, V. (2009) · Nature · doi:10.1038/nature07940 · Cited by 221 · see citing works
Global patterns of cis variation in human cells revealed by high-density allelic expression analysis
Ge, B., Pokholok, D., Kwan, T., Grundberg, E., Morcos, L., Verlaan, D. J., Le, J. M., Koka, V., Lam, K. C. L., Gagné, V., et al. (2009) · Nature Genetics · doi:10.1038/ng.473 · Cited by 215 · see citing works
Self-citationTranscriptome-Wide Identification of Novel Imprinted Genes in Neonatal Mouse Brain
Wang, X., Sun, Q., McGrath, S. D., Mardis, E. R., Soloway, P. D., & Clark, A. G. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003839 · Cited by 184 · see citing works
Lewinsky, R., Jensen, T. G. K., Møller, J., Stensballe, A., Olsen, J., & Troelsen, J. T. (2005) · Human Molecular Genetics · doi:10.1093/hmg/ddi418 · Cited by 176 · see citing works
Heap, G., Yang, J. H. M., Downes, K., Healy, B. C., Hunt, K. A., Bockett, N. A., Franke, L., Dubois, P. C. A., Mein, C. A., Dobson, R., et al. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp473 · Cited by 174 · see citing works
Functional integration of transcriptional and RNA processing machineries
Pandit, S., Wang, D., & Fu, X. (2008) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2008.03.001 · Cited by 173 · see citing works
Polymorphic Cis- and Trans-Regulation of Human Gene Expression
Cheung, V. G., Nayak, R. R., Wang, I. X., Elwyn, S., Cousins, S. M., Morley, M. P., & Spielman, R. S. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000480 · Cited by 165 · see citing works
Liver and Adipose Expression Associated SNPs Are Enriched for Association to Type 2 Diabetes
Zhong, H., Beaulaurier, J., Lum, P. Y., Molony, C. M., Yang, X., MacNeil, D. J., Weingarth, D. T., Zhang, B., Greenawalt, D. M., Dobrin, R., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000932 · Cited by 164 · see citing works
Global analysis of alternative splicing differences between humans and chimpanzeesPreprint
Calarco, J. A., Xing, Y., Cáceres, M., Calarco, J. P., Xiao, X. G., Pan, Q., Lee, C. J., Preuss, T. M., & Blencowe, B. J. (2007) · Genes & Development · doi:10.1101/gad.1606907 · Cited by 158 · see citing works
Identification of Common Genetic Variation That Modulates Alternative Splicing
Hull, J., Campino, S. G., Rowlands, K., Chan, M., Copley, R. R., Taylor, M. S., Rockett, K. A., Elvidge, G. P., Keating, B. J., Knight, J. C., et al. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030099 · Cited by 157 · see citing works
Digital RNA allelotyping reveals tissue-specific and allele-specific gene expression in human
Zhang, K., Li, J. B., Gao, Y., Egli, D. M., Xie, B., Deng, J., Li, Z., Lee, J., Aach, J., LeProust, E. M., et al. (2009) · Nature Methods · doi:10.1038/nmeth.1357 · Cited by 156 · see citing works
Heritability of alternative splicing in the human genomePreprint
Kwan, T., Benovoy, D., Dias, C., Gurd, S., Serre, D., Zuzan, H., Clark, T. A., Schweitzer, A. C., Staples, M. K., Wang, H., et al. (2007) · Genome Research · doi:10.1101/gr.6281007 · Cited by 113 · see citing works
Self-citationMurphy, A., Chu, J., Xu, M., Carey, V. J., Lazarus, R. M., Liu, A., Szefler, S. J., Strunk, R. C., DeMuth, K. A., Castro, M., et al. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq392 · Cited by 105 · see citing works
Self-citationIngram, C. J. E., Oljira, T., Tarekegn, A., Browning, S. L., Elamin, M. F., Bekele, E., Thomas, M., Weale, M. E., Bradman, N. N., & Swallow, D. M. (2009) · Journal of Molecular Evolution · doi:10.1007/s00239-009-9301-y · Cited by 100 · see citing works
Expression Quantitative Trait Loci: Replication, Tissue- and Sex-Specificity in Mice
van Nas, A., Ingram-Drake, L. A., Sinsheimer, J. S., Wang, S. S., Schadt, E. E., Drake, T. A., & Lusis, A. J. (2010) · Genetics · doi:10.1534/genetics.110.116087 · Cited by 96 · see citing works
Population genomics in a disease targeted primary cell modelPreprint
Grundberg, E., Kwan, T., Ge, B., Lam, K. C. L., Koka, V., Kindmark, A., Mallmin, H., Dias, J., Verlaan, D. J., Ouimet, M., et al. (2009) · Genome Research · doi:10.1101/gr.095224.109 · Cited by 94 · see citing works
Self-citationSingh, G., & Cooper, T. A. (2006) · BioTechniques · doi:10.2144/000112208 · Cited by 93 · see citing works
Fine-Scale Variation and Genetic Determinants of Alternative Splicing across Individuals
Coulombe‐Huntington, J., Lam, K. C. L., Dias, C., & Majewski, J. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000766 · Cited by 89 · see citing works
Self-citationPinyol, M., Beà, S., Plà, L., Ribrag, V., Bosq, J., Rosenwald, A., Campo, E., & Jares, P. (2007) · Blood · doi:10.1182/blood-2006-11-057208 · Cited by 85 · see citing works
Hsieh, T., Shiu, T., Huang, S., Lin, H., Lee, T.-C., Chen, P., Chu, H.-C., Chang, W., Jeng, K.-S., Lai, M. M. C., et al. (2007) · Pharmacogenetics and Genomics · doi:10.1097/fpc.0b013e328012d0da · Cited by 82 · see citing works
FONTANILLAS, P., LANDRY, C. R., WITTKOPP, P. J., RUSS, C., GRUBER, J. D., NUSBAUM, C., & HARTL, D. L. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2010.04472.x · Cited by 76 · see citing works
Targeted screening of cis- regulatory variation in human haplotypesPreprint
Verlaan, D. J., Ge, B., Grundberg, E., Hoberman, R., Lam, K. C. L., Koka, V., Dias, J., Gurd, S., Martín, N. W., Mallmin, H., et al. (2008) · Genome Research · doi:10.1101/gr.084798.108 · Cited by 74 · see citing works
Self-citationEffect of polymorphisms within probe–target sequences on olignonucleotide microarray experiments
Benovoy, D., Kwan, T., & Majewski, J. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn409 · Cited by 68 · see citing works
Self-citationLee, J., Park, I., Gao, Y., Li, J. B., Li, Z., Daley, G. Q., Zhang, K., & Church, G. M. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000718 · Cited by 66 · see citing works
Identifiability of isoform deconvolution from junction arrays and RNA-Seq
Hiller, D. J., Jiang, H., Xu, W., & Wong, W. H. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp544 · Cited by 65 · see citing works
Gilbert-Meulengracht’s syndrome and pharmacogenetics: is jaundice just the tip of the iceberg?
Strassburg, C. P. (2009) · Drug Metabolism Reviews · doi:10.3109/03602530903209429 · Cited by 59 · see citing works
Babak, T., Garrett-Engele, P. W., Armour, C. D., Raymond, C. K., Keller, M. P., Chen, R., Rohl, C. A., Johnson, J. M., Attie, A., Fraser, H. B., et al. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-473 · Cited by 32 · see citing works
Systematic evaluation of the effect of common SNPs on pre-mRNA splicing
ElSharawy, A., Hundrieser, B., Brosch, M., Wittig, M., Huse, K., Platzer, M., Becker, A. J., Simon, M., Rosenstiel, P. C., Schreiber, S., et al. (2009) · Human Mutation · doi:10.1002/humu.20906 · Cited by 28 · see citing works
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Genome-wide association analysis identifies 13 new risk loci for schizophrenia
Multicenter Genetic Studies of Schizophrenia Consortium, Ripke, S., Psychosis Endophenotypes International Consortium, Wellcome Trust Case Control Consortium 2, O'Dushlaine, C., Chambert, K., Moran, J. L., Kähler, A. K., Akterin, S., Bergen, S. E., et al. (2013) · Nature Genetics · doi:10.1038/ng.2742 · Cited by 1,496 · see citing works
Rare and common variants: twenty arguments
Gibson, G. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3118 · Cited by 1,278 · see citing works
Cost-effective, high-throughput DNA sequencing libraries for multiplexed target capturePreprint
Rohland, N., & Reich, D. (2012) · Genome Research · doi:10.1101/gr.128124.111 · Cited by 1,159 · see citing works
Pleiotropy in complex traits: challenges and strategies
Solovieff, N., Cotsapas, C., Lee, P. H., Purcell, S. M., & Smoller, J. W. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3461 · Cited by 1,085 · see citing works
Kukurba, K. R., & Montgomery, S. B. (2015) · Cold Spring Harbor Protocols · doi:10.1101/pdb.top084970 · Cited by 924 · see citing works
Genome-wide association study dissects the genetic architecture of oil biosynthesis in maize kernels
Li, H., Peng, Z., Yang, X., Wang, W., Fu, J., Wang, J., Han, Y., Chai, Y., Guo, T., Yang, N., et al. (2012) · Nature Genetics · doi:10.1038/ng.2484 · Cited by 841 · see citing works
Natural Variations and Genome-Wide Association Studies in Crop Plants
Huang, X., & Han, B. (2013) · Annual Review of Plant Biology · doi:10.1146/annurev-arplant-050213-035715 · Cited by 745 · see citing works
Comparative studies of gene expression and the evolution of gene regulation
Romero, I. G., Ruvinsky, I., & Gilad, Y. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3229 · Cited by 488 · see citing works
Heritability and genomics of gene expression in peripheral blood
Wright, F. A., Sullivan, P. F., Brooks, A. I., Zou, F., Sun, W., Xia, K., Madar, V., Jansen, R., Chung, W., Zhou, Y.-H., et al. (2014) · Nature Genetics · doi:10.1038/ng.2951 · Cited by 362 · see citing works
RNA sequencing reveals the complex regulatory network in the maize kernel
Fu, J., Cheng, Y., Linghu, J., Yang, X., Kang, L., Zhang, Z., Zhang, J., He, C., Du, X., Peng, Z., et al. (2013) · Nature Communications · doi:10.1038/ncomms3832 · Cited by 298 · see citing works
Deconstructing a Syndrome: Genomic Insights Into PCOS Causal Mechanisms and Classification
Dapas, M., & Dunaif, A. (2022) · Endocrine Reviews · doi:10.1210/endrev/bnac001 · Cited by 300 · see citing works
RNA-Seq and human complex diseases: recent accomplishments and future perspectives
Costa, V., Aprile, M., Esposito, R., & Ciccodicola, A. (2012) · European Journal of Human Genetics · doi:10.1038/ejhg.2012.129 · Cited by 266 · see citing works
The RNA N6-methyladenosine modification landscape of human fetal tissues
Xiao, S., Cao, S., Huang, Q., Xia, L., Deng, M., Yang, M., Jia, G., Liu, X., Shi, J., Wang, W., et al. (2019) · Nature Cell Biology · doi:10.1038/s41556-019-0315-4 · Cited by 177 · see citing works
Teruel, M., & Alarcón-Riquelme, M. E. (2016) · Journal of Autoimmunity · doi:10.1016/j.jaut.2016.08.001 · Cited by 177 · see citing works
Comparative Analysis of Gene Regulatory Networks: From Network Reconstruction to Evolution
Thompson, D. A., Regev, A., & Roy, S. (2015) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100913-012908 · Cited by 170 · see citing works
Soldner, F., & Jaenisch, R. (2012) · Science · doi:10.1126/science.1227682 · Cited by 176 · see citing works
Extensive compensatory cis-trans regulation in the evolution of mouse gene expressionPreprint
Gonçalves, Â., Leigh-Brown, S., Thybert, D., Stefflova, K., Turro, E., Flicek, P., Brāzma, A., Odom, D. T., & Marioni, J. C. (2012) · Genome Research · doi:10.1101/gr.142281.112 · Cited by 173 · see citing works
A genome-wide association study identifies 6p21 as novel risk locus for dilated cardiomyopathy
Meder, B., Rühle, F., Weis, T., Homuth, G., Keller, A., Franke, J., Peil, B., Bermejo, J. L., Frese, K., Huge, A., et al. (2013) · European Heart Journal · doi:10.1093/eurheartj/eht251 · Cited by 172 · see citing works
The Genetic and Mechanistic Basis for Variation in Gene Regulation
Pai, A. A., Pritchard, J. K., & Gilad, Y. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1004857 · Cited by 158 · see citing works
Next-Generation Sequencing Accelerates Crop Gene Discovery
Nguyen, K., Grondin, A., Courtois, B., & Gantet, P. (2018) · Trends in Plant Science · doi:10.1016/j.tplants.2018.11.008 · Cited by 164 · see citing works
The GATK joint genotyping workflow is appropriate for calling variants in RNA-seq experiments
Brouard, J., Schenkel, F. S., Marete, A., & Bissonnette, N. (2019) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-019-0359-0 · Cited by 158 · see citing works
Meyer, U. A., Zanger, U. M., & Schwab, M. (2013) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010510-100502 · Cited by 157 · see citing works
Strogantsev, R., Krueger, F., Yamazawa, K., Shi, H., Gould, P., Goldman-Roberts, M., McEwen, K., Sun, B., Pedersen, R., & Ferguson-Smith, A. C. (2015) · Genome Biology · doi:10.1186/s13059-015-0672-7 · Cited by 152 · see citing works
Lipka, A. E., Kandianis, C. B., Hudson, M. E., Yu, J., Drnevich, J. M., Bradbury, P. J., & Gore, M. A. (2015) · Current Opinion in Plant Biology · doi:10.1016/j.pbi.2015.02.010 · Cited by 149 · see citing works
Lemire, M., Zaidi, S. H. E., Ban, M., Ge, B., Aïssi, D., Germain, M., Kassam, I., Wang, M., Zanke, B. W., Gagnon, F., et al. (2015) · Nature Communications · doi:10.1038/ncomms7326 · Cited by 133 · see citing works
Self-citationModeling Alzheimer's disease with human induced pluripotent stem (iPS) cells
Mungenast, A. E., Siegert, S., & Tsai, L. (2015) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2015.11.010 · Cited by 127 · see citing works
Parker, C. C., Gopalakrishnan, S., Carbonetto, P. S., Gonzales, N. M., Leung, E., Park, Y. J., Aryee, E., Davis, J. R., Blizard, D. A., Ackert‐Bicknell, C. L., et al. (2016) · Nature Genetics · doi:10.1038/ng.3609 · Cited by 119 · see citing works
The evolution of gene expression and the transcriptome–phenotype relationship
Harrison, P. W., Wright, A. E., & Mank, J. E. (2011) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2011.12.004 · Cited by 121 · see citing works
Brooks, M. J., Rajasimha, H. K., Roger, J. E., & Swaroop, A. (2011) · Europe PMC (PubMed Central) · Cited by 108 · see citing works
Pai, A. A., Cain, C. E., Mizrahi-Man, O., Leon, S. D., Lewellen, N., Veyrieras, J., Degner, J. F., Gaffney, D. J., Pickrell, J. K., Stephens, M., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1003000 · Cited by 108 · see citing works
Investigating monogenic and complex diseases with pluripotent stem cells
Zhu, H., Lensch, M. W., Cahan, P., & Daley, G. (2011) · Nature reviews genetics · doi:10.1038/nrg2951 · Cited by 112 · see citing works
A uniform survey of allele-specific binding and expression over 1000-Genomes-Project individuals
Chen, J., Rozowsky, J. S., Galeev, T. R., Harmanci, A. O., Kitchen, R. R., Bedford, J., Abyzov, A. S., Kong, Y., Regan, L., & Gerstein, M. (2016) · Nature Communications · doi:10.1038/ncomms11101 · Cited by 100 · see citing works
Genetic Variants Contribute to Gene Expression Variability in Humans
Hulse‐Kemp, A. M., & Cai, J. J. (2012) · Genetics · doi:10.1534/genetics.112.146779 · Cited by 98 · see citing works
Transcriptome profile analysis of adipose tissues from fat and short-tailed sheep
Wang, X., Zhou, G., Xu, X., Geng, R., Zhou, J., Yang, Y., Yang, Z., & Chen, Y. (2014) · Gene · doi:10.1016/j.gene.2014.07.072 · Cited by 90 · see citing works
Genes, behavior and next‐generation <scp>RNA</scp> sequencing
Hitzemann, R., Bottomly, D., Darakjian, P., Walter, N., Iancu, O., Searles, R., Wilmot, B., & McWeeney, S. (2013) · Genes, Brain and Behavior · doi:10.1111/gbb.12007 · Cited by 88 · see citing works
Analysis of variation at transcription factor binding sites in Drosophila and humans
Spivakov, M., Akhtar, J., Kheradpour, P., Beal, K., Girardot, C., Koscielny, G., Herrero, J., Kellis, M., Furlong, E. E., & Birney, E. (2012) · Genome Biology · doi:10.1186/gb-2012-13-9-r49 · Cited by 94 · see citing works
Using next-generation RNA sequencing to identify imprinted genes
Wang, X., & Clark, A. G. (2014) · Heredity · doi:10.1038/hdy.2014.18 · Cited by 88 · see citing works
Kachuri, L., Mak, A. C. Y., Hu, D., Eng, C. S., Huntsman, S., Elhawary, J. R., Gupta, N., Gabriel, S., Xiao, S., Keys, K. L., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01377-z · Cited by 87 · see citing works
Kabakchiev, B., & Silverberg, M. S. (2013) · Gastroenterology · doi:10.1053/j.gastro.2013.03.001 · Cited by 84 · see citing works
Sahu, P. K., Sao, R., Mondal, S., Vishwakarma, G., Gupta, S. K., Kumar, V., Singh, S. K., Sharma, D., & Das, B. K. (2020) · Plants · doi:10.3390/plants9101355 · Cited by 80 · see citing works
Epistatic Selection between Coding and Regulatory Variation in Human Evolution and Disease
Lappalainen, T., Montgomery, S. B., Nica, A. C., & Dermitzakis, E. T. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.08.004 · Cited by 79 · see citing works
Chaitankar, V., Karakülah, G., Ratnapriya, R., Giuste, F., Brooks, M. J., & Swaroop, A. (2016) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2016.06.001 · Cited by 79 · see citing works
Molecular advances in QTL discovery and application in pig breeding
Ernst, C. W., & Steibel, J. P. (2013) · Trends in Genetics · doi:10.1016/j.tig.2013.02.002 · Cited by 77 · see citing works
Bayesian Detection of Expression Quantitative Trait Loci Hot Spots
Bottolo, L., Petretto, E. G., Blankenberg, S., Cambien, F., Cook, S. A., Tiret, L., & Richardson, S. T. (2011) · Genetics · doi:10.1534/genetics.111.131425 · Cited by 71 · 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
A meta-analysis of gene expression quantitative trait loci in brain
Kim, Y., Xia, K., Tao, R., Giusti-Rodriguez, P., Vladimirov, V, van den Oord, E., & Sullivan, P. F. (2014) · Translational Psychiatry · doi:10.1038/tp.2014.96 · Cited by 73 · see citing works
Allele-specific expression and eQTL analysis in mouse adipose tissue
Hasin-Brumshtein, Y., Hormozdiari, F., Martin, L. J., van Nas, A., Eskin, E., Lusis, A., & Drake, T. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-471 · Cited by 63 · see citing works
Age-Specific Variation in Immune Response inDrosophila melanogasterHas a Genetic Basis
Felix, T. M., Hughes, K. A., Stone, E. A., Drnevich, J. M., & Leips, J. (2012) · Genetics · doi:10.1534/genetics.112.140640 · Cited by 69 · see citing works
Siddle, K. J., Deschamps, M., Tailleux, L., Nédélec, Y., Pothlichet, J., Lugo‐Villarino, G., Libri, V., Gicquel, B., Neyrolles, O., Laval, G., et al. (2014) · Genome Research · doi:10.1101/gr.161471.113 · Cited by 67 · see citing works
Population-scale study of eRNA transcription reveals bipartite functional enhancer architecture
Kristjánsdóttir, K., Kwak, Y., Tippens, N. D., Lis, J. T., Kang, H. M., & Kwak, H. (2020) · Nature Communications · doi:10.1038/s41467-020-19829-z · Cited by 64 · see citing works
Goettel, W., Xia, E., Upchurch, R. G., Wang, M.-L., Chen, P., & An, Y. C. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-299 · Cited by 65 · see citing works
Whole transcriptome RNA-Seq allelic expression in human brain
Smith, R. M., Webb, A., Papp, A. C., Newman, L. C., Handelman, S. K., Suhy, A., Mascarenhas, R., Oberdick, J., & Sadée, W. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-571 · Cited by 65 · see citing works
CRISPR-Based Synthetic Transcription Factors In Vivo: The Future of Therapeutic Cellular Programming
Pandelakis, M., Delgado, E., & Ebrahimkhani, M. R. (2020) · Cell Systems · doi:10.1016/j.cels.2019.10.003 · Cited by 64 · see citing works
Zhu, Y., Fazio, G., & Mazzola, M. (2014) · Horticulture Research · doi:10.1038/hortres.2014.43 · Cited by 63 · see citing works
C-reactive protein upregulates the whole blood expression of CD59 - an integrative analysis
Lepik, K., Annilo, T., Kukuškina, V., eQTLGen Consortium, Kisand, K., Kutalik, Z., Peterson, P., & Peterson, H. (2017) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1005766 · Cited by 48 · see citing works
Long non-coding RNA-mediated regulation of glucose homeostasis and diabetes.
Sun, X., & Wong, D. (2016) · Europe PMC (PubMed Central) · Cited by 62 · see citing works
Genomics and the evolution of phenotypic traits
Wray, G. A. (2013) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev-ecolsys-110512-135828 · Cited by 68 · see citing works
Fukushima, A., & Kusano, M. (2014) · Journal of Experimental Botany · doi:10.1093/jxb/eru322 · Cited by 61 · see citing works
Genetic variation of pre‐mRNA alternative splicing in human populations
Lu, Z., Jiang, P., & Xing, Y. (2011) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.120 · Cited by 60 · see citing works
Genomic modulators of the immune response
Knight, J. C. (2012) · Trends in Genetics · doi:10.1016/j.tig.2012.10.006 · Cited by 57 · see citing works
Using RNA-seq data to select reference genes for normalizing gene expression in apple roots
Zhou, Z., Cong, P., Tian, Y., & Zhu, Y. (2017) · PLoS ONE · doi:10.1371/journal.pone.0185288 · Cited by 59 · see citing works
Global Properties and Functional Complexity of Human Gene Regulatory Variation
Gaffney, D. J. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003501 · Cited by 57 · see citing works
Sanders, A. R., Drigalenko, E. I., Duan, J., Moy, W., Freda, J., Göring, H. H. H., Gejman, P. V., & on behalf of, M. G. S. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.47 · Cited by 57 · see citing works
Embracing new-generation 'omics' tools to improve drought tolerance in cereal and food-legume crops
Singh, B., Bohra, A., Mishra, S., Joshi, R., & Pandey, S. (2015) · Biologia Plantarum · doi:10.1007/s10535-015-0515-0 · Cited by 58 · see citing works
The potential of the riboSNitch in personalized medicine
Solem, A., Halvorsen, M., Ramos, S. B. V., & Laederach, A. (2015) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1291 · Cited by 55 · see citing works
Clément‐Ziza, M., Marsellach, X., Codlin, S., Papadakis, M. A., Reinhardt, S., Rodríguez‐López, M., Martin, S., Marguerat, S., Schmidt, A., Lee, E., et al. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145123 · Cited by 51 · see citing works
The Impact of 3′UTR Variants on Differential Expression of Candidate Cancer Susceptibility Genes
Skeeles, L. E., Fleming, J. L., Mahler, K. L., & Toland, A. E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058609 · Cited by 53 · see citing works
Genes controlling vaccine responses and disease resistance to respiratory viral pathogens in cattle
Glass, E. J., Baxter, R., Leach, R. J., & Jann, O. (2011) · Veterinary Immunology and Immunopathology · doi:10.1016/j.vetimm.2011.05.009 · Cited by 53 · see citing works
miRNA regulatory variation in human evolution
Li, J., & Zhang, Z. (2012) · Trends in Genetics · doi:10.1016/j.tig.2012.10.008 · Cited by 52 · see citing works
Odhams, C. A., Cortini, A., Chen, L., Roberts, A. L., Viñuela, A., Buil, A., Small, K. S., Dermitzakis, E. T., Morris, D. L., Vyse, T. J., et al. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw417 · Cited by 46 · see citing works
Transcriptomic basis of genome by genome variation in a legume‐rhizobia mutualism
Burghardt, L. T., Guhlin, J. G., Chun, C. L., Liu, J., Sadowsky, M. J., Stupar, R. M., Young, N. D., & Tiffin, P. (2017) · Molecular Ecology · doi:10.1111/mec.14285 · Cited by 49 · see citing works
Natural variation in non-coding regions underlying phenotypic diversity in budding yeast
Salinas, F., de Boer, C. G., Abarca, V., García, V., Cuevas, M., Araos, S., Larrondo, L. F., Martı́nez, C., & Cubillos, F. A. (2016) · Scientific Reports · doi:10.1038/srep21849 · Cited by 47 · see citing works
Reduced representation approaches to interrogate genome diversity in large repetitive plant genomes
Hirsch, C. D., Evans, J., Buell, C. R., & Hirsch, C. N. (2014) · Briefings in Functional Genomics · doi:10.1093/bfgp/elt051 · Cited by 46 · see citing works
Contribution of unfixed transposable element insertions to human regulatory variation
Goubert, C., Zevallos, N. A., & Feschotte, C. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0331 · Cited by 41 · see citing works
Genomic reaction norms inform predictions of plastic and adaptive responses to climate change
Oomen, R. A., & Hutchings, J. A. (2022) · Journal of Animal Ecology · doi:10.1111/1365-2656.13707 · Cited by 43 · see citing works
Structural effects of linkage disequilibrium on the transcriptome
Martin, J. S., Halvorsen, M., Davis-Neulander, L., Ritz, J., Gopinath, C., Beauregard, A., & Laederach, A. (2011) · RNA · doi:10.1261/rna.029900.111 · Cited by 43 · see citing works
Impact of common regulatory single-nucleotide variants on gene expression profiles in whole blood
Mehta, D., Heim, K., Herder, C., Carstensen, M., Eckstein, G., Schurmann, C., Homuth, G., Nauck, M. A., Völker, U., Roden, M., et al. (2012) · European Journal of Human Genetics · doi:10.1038/ejhg.2012.106 · Cited by 41 · see citing works
Allelic variation in transcription factor PtoWRKY68 contributes to drought tolerance in Populus
Fang, Y., Wang, D., Xiao, L., Quan, M., Qi, W., Song, F., Zhou, J., Liu, X., Qin, S., Du, Q., et al. (2023) · PLANT PHYSIOLOGY · doi:10.1093/plphys/kiad315 · Cited by 40 · see citing works
Genetic dissection of the gene coexpression network underlying photosynthesis in Populus
Xiao, L., Liu, X., Lu, W., Chen, P., Quan, M., Si, J., Du, Q., & Zhang, D. (2019) · Plant Biotechnology Journal · doi:10.1111/pbi.13270 · Cited by 40 · see citing works
Andergassen, D., Dotter, C. P., Kuliński, T. M., Guenzl, P. M., Bammer, P. C., Barlow, D. P., Pauler, F. M., & Hudson, Q. J. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv727 · Cited by 37 · see citing works
Ratnapriya, R., & Swaroop, A. (2013) · Genome Medicine · doi:10.1186/gm488 · Cited by 38 · see citing works
Expression level polymorphisms: heritable traits shaping natural variation
Delker, C., & Quint, M. (2011) · Trends in Plant Science · doi:10.1016/j.tplants.2011.05.009 · Cited by 37 · see citing works
Differential Gene Expression in Age-Related Macular DegenerationPreprint
Morgan, D. J., & DeAngelis, M. M. (2014) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a017210 · Cited by 36 · see citing works
The consequences of genomic architecture on ecological speciation in postglacial fishes
Rogers, S. M., Mee, J. A., & Bowles, E. (2013) · Current Zoology · doi:10.1093/czoolo/59.1.53 · Cited by 36 · see citing works
Comparative analysis of pathology and behavioural phenotypes in mouse models of Huntington's disease
Brooks, S. P., Jones, L., & Dunnett, S. B. (2011) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2011.10.002 · Cited by 36 · see citing works
Zhao, J., Cheng, F., Jia, P., Cox, N. J., Denny, J. C., & Zhao, Z. (2018) · Genome Medicine · doi:10.1186/s13073-018-0513-x · Cited by 35 · see citing works
Translating Lung Function Genome-Wide Association Study (GWAS) Findings
Kheirallah, A. K., Miller, S., Hall, I. P., & Sayers, I. (2016) · Advances in genetics · doi:10.1016/bs.adgen.2015.12.002 · Cited by 35 · see citing works
Hasin-Brumshtein, Y., Khan, A. H., Hormozdiari, F., Pan, C., Parks, B. W., Petyuk, V., Piehowski, P., Brümmer, A., Pellegrini, M. A., Xiao, X. G., et al. (2016) · eLife · doi:10.7554/elife.15614 · Cited by 32 · see citing works
Predominant contribution of cis‐regulatory divergence in the evolution of mouse alternative splicing
Gao, Q., Sun, W., Ballegeer, M., Libert, C., & Chen, W. (2015) · Molecular Systems Biology · doi:10.15252/msb.20145970 · Cited by 34 · see citing works
Drosophila melanogaster as a model for lead neurotoxicology and toxicogenomics research
Hirsch, H. V. B., Lnenicka, G. A., Possidente, D. R., Possidente, B. P., Garfinkel, M. D., Wang, L., Lu, X., & Ruden, D. M. (2012) · Frontiers in Genetics · doi:10.3389/fgene.2012.00068 · Cited by 34 · see citing works
Extensive allele‐specific translational regulation in hybrid mice
Hou, J., Wang, X., McShane, E., Zauber, H., Sun, W., Selbach, M., & Chen, W. (2015) · Molecular Systems Biology · doi:10.15252/msb.156240 · Cited by 32 · see citing works
Prowse-Wilkins, C., Lopdell, T., Xiang, R., Jagt, C. J. V., Littlejohn, M. D., Chamberlain, A. J., & Goddard, M. E. (2022) · BMC Genomics · doi:10.1186/s12864-022-09002-9 · Cited by 33 · see citing works
Mitchelmore, J., Grinberg, N. F., Wallace, C., & Spivakov, M. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa123 · Cited by 25 · see citing works
Simon, L., Chen, E., Edelstein, L., Kong, X.-G., Bhatlekar, S., Rigoutsos, I., Bray, P., & Shaw, C. (2016) · American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.03.007 · Cited by 32 · see citing works
Prospects and challenges of cancer systems medicine: from genes to disease networks
Karimi, M. R., Karimi, A. H., Abolmaali, S., Sadeghi, M., & Schmitz, U. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab343 · Cited by 33 · see citing works
Combining GWAS and TWAS to identify candidate causal genes for tocochromanol levels in maize grain
Wu, D., Li, X., Tanaka, R., Wood, J. C., Tibbs‐Cortes, L. E., Magallanes‐Lundback, M., Bornowski, N., Hamilton, J. P., Vaillancourt, B., Diepenbrock, C., et al. (2022) · Genetics · doi:10.1093/genetics/iyac091 · Cited by 30 · see citing works
Extraordinary Cancer Epigenomics: Thinking Outside the Classical Coding and Promoter Box
Murtha, M. J., & Esteller, M. (2016) · Trends in cancer · doi:10.1016/j.trecan.2016.08.004 · Cited by 30 · see citing works
Mi, W., Uebbing, S., & Ellegren, H. (2017) · Genome Biology and Evolution · doi:10.1093/gbe/evx080 · Cited by 26 · see citing works
Cai, Y., Xie, S., Jia, X., Chen, D., Wu, D., Bao, W., Cai, J., Mao, J., & Ye, J. (2023) · Annals of Medicine · doi:10.1080/07853890.2023.2281658 · Cited by 27 · see citing works
Cd14 SNPs regulate the innate immune response
Liu, H.-H., Hu, Y., Zheng, M., Suhoski, M. M., Engleman, E. G., Dill, D. L., Hudnall, M. T., Wang, J., Spolski, R. J., Leonard, W. J., et al. (2012) · Molecular Immunology · doi:10.1016/j.molimm.2012.02.112 · Cited by 25 · see citing works
- Authors
- Majewski, J., & Pastinen, T.
- Affiliations
- McGill University and Génome Québec Innovation Centre (CA)
- Corresponding author
- Majewski, Jacek
- Venue
- Trends in Genetics
- Publisher
- Elsevier BV
- Published
- 2011-02
- Volume
- 27
- Issue
- 2
- Pages
- 72-79
- ISSN
- 0168-9525 (ISSN-L)
- OpenAlex
- W2009170877
- Cited by
- 232
- References
- 93
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 6 · 2023: 13 · 2022: 13 · 2021: 11 · 2020: 8 · 2019: 13 · 2018: 9 · 2017: 11 · 2016: 18 · 2015: 23 · 2014: 23 · 2013: 27 · 2012: 29
- FWCI
- 2.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Trends in Genetics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- expression quantitative trait loci, RNA-seq, gene expression variation, single nucleotide polymorphisms, phenotypic variability, alternative splicing, transcriptome, genetic regulation of gene expression, complex disease susceptibility
- MeSH terms
- Animals, Gene Expression Regulation, Humans, Phenotype, Transcription, Genetic, Sequence Analysis, RNA, Polymorphism, Single Nucleotide, Quantitative Trait Loci
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