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Effect of predicted protein-truncating genetic variants on the human transcriptome
Open accessAbstract
Expression, genetic variation, and tissues: Human genomes show extensive genetic variation across individuals, but we have only just started documenting the effects of this variation on the regulation of gene expression. Furthermore, only a few tissues have been examined per genetic variant. In order to examine how genetic expression varies among tissues within individuals, the Genotype-Tissue Expression (GTEx) Consortium collected 1641 postmortem samples covering 54 body sites from 175 individuals. They identified quantitative genetic traits that affect gene expression and determined which of these exhibit tissue-specific expression patterns. Melé et al. measured how transcription varies among tissues, and Rivas et al. looked at how truncated protein variants affect expression across tissues. Science , this issue p. 648 , p. 660 , p. 666 ; see also p. 640
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“Furthermore, protein-truncating variants (PTVs) are among the most interpretable associations as they suggest that the effect on disease most commonly tracks with decreasing expression of the gene 15 .”
From Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia (2020) · cites this paper as [15]
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“The most natural grouping for rare variants is within a gene, based on predicted functional consequence or evidence for deleteriousness16,17.”
From Rare coding variants in ten genes confer substantial risk for schizophrenia (2022) · cites this paper as [17]
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Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895
Self-citationThe variant call format and VCFtools
Danecek, P., Auton, A., Abecasis, G. R., Albers, C. A., Banks, E., DePristo, M. A., Handsaker, R. E., Lunter, G. A., Marth, G., Sherry, S. T., et al. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr330 · Cited by 16,450
Self-citationpROC: an open-source package for R and S+ to analyze and compare ROC curves
Robin, X., Turck, N., Hainard, A., Tiberti, N., Lisacek, F., Sanchez, J.-C., & Müller, M. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-77 · Cited by 13,697
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,669
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R. E., Garimella, K. V., Maguire, J., Hartl, C., Philippakis, A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,457
Self-citationBuilding Predictive Models in R Using the caret Package
Kuhn, M. (2008) · Journal of Statistical Software · doi:10.18637/jss.v028.i05 · Cited by 8,863
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
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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-citationGenetic effects on gene expression across human tissues
GTEx Consortium (2017) · Nature · doi:10.1038/nature24277 · Cited by 4,036
Stenson, P. D., Mort, M. E., Ball, E. V., Evans, K., Hayden, M., Heywood, S., Hussain, M., Phillips, A. D., & Cooper, D. N. (2017) · Human Genetics · doi:10.1007/s00439-017-1779-6 · Cited by 1,363
Self-citationLandscape of X chromosome inactivation across human tissues
GTEx Consortium, Tukiainen, T., Villani, A.-C., Yen, A., Rivas, M. A., Marshall, J. L., Satija, R., Aguirre, M., Gauthier, L., Fleharty, M., et al. (2017) · Nature · doi:10.1038/nature24265 · Cited by 1,138
Self-citationRare coding variants in ten genes confer substantial risk for schizophrenia
Singh, T., Poterba, T., Curtis, D., Akil, H., Al Eissa, M., Barchas, J. D., Bass, N., Bigdeli, T. B., Breen, G., Bromet, E. J., et al. (2022) · Nature · doi:10.1038/s41586-022-04556-w · Cited by 983
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Tayoun, A. N. A., Pesaran, T. F., DiStefano, M. T., Oza, A. M., Rehm, H. L., Biesecker, L. G., Harrison, S. M., & ClinGen Sequence Variant Interpretation Working Group (ClinGen SVI) (2018) · Human Mutation · doi:10.1002/humu.23626 · Cited by 923
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Carithers, L. J., Ardlie, K., Barcus, M., Branton, P. A., Britton, A., Buia, S. A., Compton, C. C., DeLuca, D. S., Peter-Demchok, J., Gelfand, E. T., et al. (2015) · Biopreservation and Biobanking · doi:10.1089/bio.2015.0032 · Cited by 833
Self-citationImproving genetic diagnosis in Mendelian disease with transcriptome sequencing
Cummings, B. B., Marshall, J. L., Tukiainen, T., Lek, M., Donkervoort, S., Foley, A. R., Bolduc, V., Waddell, L. B., Sandaradura, S. A., O’Grady, G. L., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aal5209 · Cited by 831
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Byron, S. A., Keuren‐Jensen, K. R. V., Engelthaler, D. M., Carpten, J. D., & Craig, D. W. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.10 · Cited by 818
Manzoni, C., Kia, D. A., Vandrovcová, J., Hardy, J., Wood, N. W., Lewis, P. A., & Ferrari, R. (2016) · Briefings in Bioinformatics · doi:10.1093/bib/bbw114 · Cited by 859
Albalat, R., & Cañestro, C. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.39 · Cited by 775
Nanopore native RNA sequencing of a human poly(A) transcriptome
Workman, R. E., Tang, A. D., Tang, P. S., Jain, M., Tyson, J. R., Razaghi, R., Zuzarte, P. C., Gilpatrick, T., Payne, A., Quick, J., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0617-2 · Cited by 740
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Lindeboom, R. G. H., Supek, F., & Lehner, B. (2016) · Nature Genetics · doi:10.1038/ng.3664 · Cited by 563
Tang, A. D., Soulette, C. M., van Baren, M. J., Hart, K. L., Hrabeta‐Robinson, E., Wu, C. J., & Brooks, A. N. (2020) · Nature Communications · doi:10.1038/s41467-020-15171-6 · Cited by 519
Darman, R. B., Seiler, M., Agrawal, A. A., Lim, K., Peng, S., Aird, D. R., Bailey, S., Bhavsar, E. B., Chan, B., Colla, S., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.09.053 · Cited by 472
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Tools and best practices for data processing in allelic expression analysis.
Castel, S. E., Levy-Moonshine, A., Mohammadi, P., Banks, E., & Lappalainen, T. (2015) · Genome Biology · doi:10.1186/s13059-015-0762-6 · Cited by 375
Self-citationThe impact of nonsense-mediated mRNA decay on genetic disease, gene editing and cancer immunotherapy
Lindeboom, R. G. H., Vermeulen, M., Lehner, B., & Supek, F. (2019) · Nature Genetics · doi:10.1038/s41588-019-0517-5 · Cited by 327
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Glinos, D. A., Garborcauskas, G., Hoffman, P., Ehsan, N., Jiang, L., Gokden, A., Dai, X., Aguet, F., Brown, K. L., Garimella, K. V., et al. (2022) · Nature · doi:10.1038/s41586-022-05035-y · Cited by 318
Self-citationGenomic 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 319
Self-citationHealth and population effects of rare gene knockouts in adult humans with related parents
Narasimhan, V. M., Hunt, K. A., Mason, D., Baker, C. L., Karczewski, K. J., Barnes, M. R., Barnett, A. H., Bates, C., Bellary, S., Bockett, N. A., et al. (2016) · Science · doi:10.1126/science.aac8624 · Cited by 286
Self-citationCarcamo‐Orive, I., Hoffman, G. E., Cundiff, P., Beckmann, N. D., D’Souza, S. L., Knowles, J. W., Patel, A., Hendry, C., Papatsenko, D., Abbasi, F., et al. (2016) · Cell stem cell · doi:10.1016/j.stem.2016.11.005 · Cited by 266
The impact of rare variation on gene expression across tissues
Li, X., Kim, Y., Tsang, E. K., Davis, J. R., Damani, F. N., Chiang, C., Hess, G. T., Zappala, Z., Strober, B. J., Scott, A. J., et al. (2017) · Nature · doi:10.1038/nature24267 · Cited by 253
Self-citationTo NMD or Not To NMD: Nonsense-Mediated mRNA Decay in Cancer and Other Genetic Diseases
Supek, F., Lehner, B., & Lindeboom, R. G. H. (2020) · Trends in Genetics · doi:10.1016/j.tig.2020.11.002 · Cited by 243
Systematic Analysis of Splice-Site-Creating Mutations in Cancer
Jayasinghe, R. G., Cao, S., Gao, Q., Wendl, M. C., Vo, N. S., Reynolds, S. M., Zhao, Y., Climente-González, H., Chai, S., Wang, F., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.052 · Cited by 243
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Bartha, I., di Iulio, J., Venter, J. C., & Telenti, A. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2017.75 · Cited by 234
Coban-Akdemir, Z., White, J. J., Song, X., Jhangiani, S. N., Fatih, J. M., Gambin, T., Bayram, Y., Chinn, I. K., Karaca, E., Punetha, J., et al. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.06.009 · Cited by 219
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Lee, K., Krempely, K. E., Roberts, M. E., Anderson, M. J., Carneiro, F., Chao, E., Dixon, K., Figueiredo, J., Ghosh, R., Huntsman, D. D., et al. (2018) · Human Mutation · doi:10.1002/humu.23650 · Cited by 164
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Wang, C., Gu, Y., Zhang, K., Xie, K., Zhu, M., Dai, N., Jiang, Y., Guo, X., Liu, M., Dai, J., et al. (2016) · Nature Communications · doi:10.1038/ncomms10499 · Cited by 161
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Mohammadi, P., Castel, S. E., Brown, A. A., & Lappalainen, T. (2017) · Genome Research · doi:10.1101/gr.216747.116 · Cited by 148
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Singh, T., Neale, B. M., & Daly, M. J. (2020) · doi:10.1101/2020.09.18.20192815 · Cited by 980
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Werling, D. M., Pochareddy, S., Choi, J., An, J., Sheppard, B. K., Peng, M., Li, Z., Dastmalchi, C., Santpere, G., Sousa, A. M. M., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.03.053 · Cited by 134
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Self-citationYamauchi, T., Masuda, T., Canver, M. C., Seiler, M., Semba, Y., Shboul, M., Al‐Raqad, M., Maeda, M., Schoonenberg, V. A. C., Cole, M. A., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.01.012 · Cited by 139
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Ganini, C., Amelio, I., Bertolo, R. G., Bove, P., Buonomo, O. C., Candi, E., Cipriani, C., Daniele, N. D., Juhl, H. H., Mauriello, A., et al. (2021) · Molecular Oncology · doi:10.1002/1878-0261.13056 · Cited by 109
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Zhang, Q., Cong, M., Wang, N., Li, X., Zhang, H., Zhang, K., Jin, M., Wu, N., Qiu, C., & Li, J. (2018) · Medicine · doi:10.1097/md.0000000000012917 · Cited by 96
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Wang, H., Bender, A. S., Wang, P., Karaköse, E., Inabnet, W. B., Libutti, S. K., Arnold, A., Lambertini, L., Stang, M., Chen, H., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00992-9 · Cited by 83
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Xiong, Y., Soumillon, M., Wu, J., Hansen, J., Hu, B., van Hasselt, J. G. C., Jayaraman, G., Lim, R. G., Bouhaddou, M., Ornelas, L., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-14892-x · Cited by 76
Ye, C., Chen, J., Villani, A., Gate, R. E., Subramaniam, M., Bhangale, T., Lee, M. N., Raj, T., Raychowdhury, R., Li, W., et al. (2018) · Genome Research · doi:10.1101/gr.240390.118 · Cited by 67
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Dalton, W. B., Helmenstine, E., Walsh, N., Gondek, L. P., Kelkar, D. S., Read, A., Natrajan, R., Christenson, E. S., Román, B., Das, S., et al. (2019) · Journal of Clinical Investigation · doi:10.1172/jci125022 · Cited by 70
Herzog, L. E., Wang, L., Yu, E., Choi, S., Farsi, Z., Song, B. J., Pan, J. Q., & Sheng, M. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02393-7 · Cited by 66
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Sun, Y., Bao, Y., Han, W., Song, F., Shen, X., Zhao, J., Zuo, J., Saffen, D. W., Chen, W., Wang, Z., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx508 · Cited by 57
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Scheller, I. F., Lutz, K., Mertes, C., Yépez, V. A., & Gagneur, J. (2023) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2023.10.014 · Cited by 57
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Weghorn, D., Balick, D. J., Cassa, C. A., Kosmicki, J. A., Daly, M. J., Beier, D. R., & Sunyaev, S. R. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz092 · Cited by 36
Self-citation
Metadata
- Authors
- Rivas, M. A., Pirinen, M., Conrad, D. F., Lek, M., Tsang, E. K., Karczewski, K. J., Maller, J. B., Kukurba, K. R., DeLuca, D. S., Fromer, M., Ferreira, P. G., Smith, K. S., Zhang, R., Zhao, F., Banks, E., Poplin, R., Ruderfer, D. M., Purcell, S. M., Tukiainen, T., Minikel, E. V., Stenson, P. D., Cooper, D. N., Huang, K. H., Sullivan, T. J., Nedzel, J., The GTEx Consortium, The Geuvadis Consortium, Bustamante, C. D., Li, J. B., Daly, M. J., Guigo, R., Donnelly, P., Ardlie, K., Sammeth, M., Dermitzakis, E. T., McCarthy, M. I., Montgomery, S. B., Lappalainen, T., MacArthur, D. G., Segre, A. V., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Ward, L. D., Kheradpour, P., Iriarte, B., Meng, Y., Palmer, C. D., Esko, T., Winckler, W., Hirschhorn, J., Kellis, M., Getz, G., Shablin, A. A., Li, G., Zhou, Y.-H., Nobel, A. B., Rusyn, I., Wright, F. A., Battle, A., Mostafavi, S., Mele, M., Reverter, F., Goldmann, J., Koller, D., Gamazon, E. R., Im, H. K., Konkashbaev, A., Nicolae, D. L., Cox, N. J., Flutre, T., Wen, X., Stephens, M., Pritchard, J. K., Tu, Z., Zhang, B., Huang, T., Long, Q., Lin, L., Yang, J., Zhu, J., Liu, J., Brown, A., Mestichelli, B., Tidwell, D., Lo, E., Salvatore, M., Shad, S., Thomas, J. A., Lonsdale, J. T., Choi, R. C., Karasik, E., Ramsey, K., Moser, M. T., Foster, B. A., Gillard, B. M., Syron, J., Fleming, J., Magazine, H., Hasz, R., Walters, G. D., Bridge, J. P., Miklos, M., Sullivan, S., Barker, L. K., Traino, H., Mosavel, M., Siminoff, L. A., Valley, D. R., Rohrer, D. C., Jewel, S., Branton, P., Sobin, L. H., Barcus, M., Qi, L., Hariharan, P., Wu, S., Tabor, D., Shive, C., Smith, A. M., Buia, S. A., Undale, A. H., Robinson, K. L., Roche, N., Valentino, K. M., Britton, A., Burges, R., Bradbury, D., Hambright, K. W., Seleski, J., Korzeniewski, G. E., Erickson, K., Marcus, Y., Tejada, J., Taherian, M., Lu, C., Robles, B. E., Basile, M., Mash, D. C., Volpi, S., Struewing, J. P., Temple, G. F., Boyer, J., Colantuoni, D., Little, R., Koester, S., Carithers, L. J., Moore, H. M., Guan, P., Compton, C., Sawyer, S. J., Demchok, J. P., Vaught, J. B., Rabiner, C. A., Lockhart, N. C., Friedlander, M. R., ’t Hoen, P. A. C., Monlong, J., Gonzàlez-Porta, M., Kurbatova, N., Griebel, T., Barann, M., Wieland, T., Greger, L., van Iterson, M., Almlof, J., Ribeca, P., Pulyakhina, I., Esser, D., Giger, T., Tikhonov, A., Sultan, M., Bertier, G., Lizano, E., Buermans, H. P. J., Padioleau, I., Schwarzmayr, T., Karlberg, O., Ongen, H., Kilpinen, H., Beltran, S., Gut, M., Kahlem, K., Amstislavskiy, V., Stegle, O., Flicek, P., Strom, T. M., Lehrach, H., Schreiber, S., Sudbrak, R., Carracedo, A., Antonarakis, S. E., Hasler, R., Syvanen, A.-C., van Ommen, G.-J., Brazma, A., Meitinger, T., Rosenstiel, P., Gut, I. G., & Estivill, X.
- Affiliations
- Centre for Human Genetics (GB)
- University of Helsinki (FI)
- Washington University in St. Louis (US)
- Broad Institute (US)
- Stanford Medicine (US)
- University of Geneva (CH)
- Stanford University (US)
- Mount Sinai Hospital (US)
- Cardiff University (GB)
- Center for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain.
- Universitat Pompeu Fabra (ES)
- Corresponding author
- Rivas, Manuel A.
- Pirinen, Matti
- Conrad, Donald F.
- Lek, Monkol
- Lappalainen, Tuuli
- MacArthur, Daniel G.
- ORCID
- Rivas, Manuel A.
- Pirinen, Matti
- Conrad, Donald F.
- Lek, Monkol
- Tsang, Emily K.
- Karczewski, Konrad J.
- Maller, Julian B.
- DeLuca, David S.
- Fromer, Menachem
- Ferreira, Pedro G.
- Smith, Kevin S.
- Zhang, Rui
- Zhao, Fengmei
- Banks, Eric
- Ruderfer, Douglas M.
- Purcell, Shaun M.
- Tukiainen, Taru
- Minikel, Eric V.
- Cooper, David N.
- Nedzel, Jared
- Bustamante, Carlos D.
- Li, Jin Billy
- Daly, Mark J.
- Donnelly, Peter
- Ardlie, Kristin
- Sammeth, Michael
- Dermitzakis, Emmanouil T.
- McCarthy, Mark I.
- Montgomery, Stephen B.
- Lappalainen, Tuuli
- MacArthur, Daniel G.
- Young, Taylor R.
- Ward, Lucas D.
- Meng, Yan
- Palmer, Cameron D.
- Winckler, Wendy
- Hirschhorn, Joel
- Kellis, Manolis
- Getz, Gad
- Li, Gen
- Zhou, Yi-Hui
- Nobel, Andrew B.
- Rusyn, Ivan
- Wright, Fred A.
- Battle, Alexis
- Mostafavi, Sara
- Goldmann, Jakob
- Koller, Daphne
- Gamazon, Eric R.
- Im, Hae Kyung
- Konkashbaev, Anuar
- Nicolae, Dan L.
- Cox, Nancy J.
- Wen, Xiaoquan
- Stephens, Matthew
- Pritchard, Jonathan K.
- Tu, Zhidong
- Huang, Tao
- Long, Quan
- Lin, Luan
- Yang, Jialiang
- Zhu, Jun
- Moser, Michael T.
- Foster, Barbara A.
- Gillard, Bryan M.
- Siminoff, Laura A.
- Rohrer, Daniel C.
- Branton, Philip
- Tabor, David
- Lu, Chunrong
- Mash, Deborah C.
- Volpi, Simona
- Struewing, Jeffery P.
- Moore, Helen M.
- Guan, Ping
- Compton, Carolyn
- Sawyer, Sherilyn J.
- Monlong, Jean
- Gonzàlez-Porta, Mar
- Kurbatova, Natalja
- Griebel, Thasso
- Barann, Matthias
- Wieland, Thomas
- Greger, Liliana
- Ribeca, Paolo
- Sultan, Marc
- Bertier, Gabrielle
- Lizano, Esther
- Ongen, Halit
- Kilpinen, Helena
- Amstislavskiy, Vyacheslav
- Stegle, Oliver
- Flicek, Paul
- Schreiber, Stefan
- Sudbrak, Ralf
- Antonarakis, Stylianos E.
- Meitinger, Thomas
- Rosenstiel, Philip
- Gut, Ivo G.
- Estivill, Xavier
- Venue
- Science
- Published
- 2015-05-08
- Volume
- 348
- Issue
- 6235
- Pages
- 666-669
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC4537935
- OpenAlex
- W1843990841
- Cited by
- 313
- References
- 55
- Citations by year
- 2026: 15 · 2025: 24 · 2024: 28 · 2023: 36 · 2022: 25 · 2021: 34 · 2020: 25 · 2019: 23 · 2018: 24 · 2017: 30 · 2016: 33 · 2015: 16
- FWCI
- 23.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (publishedVersion)
- PubMed Central (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Funders
- National Institutes of Health (NIGMS R01GM104371, NIMH R01MH101814, R01MH090941, U01HG007593, R01MH101810)
- United States Department of Defense
- Wellcome Trust (095552/Z/11/Z, 090532/Z/09/Z, 98381)
- European Research Council
- Natural Science and Engineering Research Council of Canada
- University of Oxford
- Louis-Jeantet Foundation
- Swiss National Science Foundation
- Academy of Finland (257654)
- Clarendon Scholarship
- NDM Studentship
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- truncating mutations, nonsense mutation, variant effect prediction, transcriptome, splice junctions, tissue-specific effects, position effect, dosage compensation, GTEx, GEUVADIS
- MeSH terms
- Gene Expression Regulation, Heterozygote, Humans, Phenotype, Proteins, Genetic Variation, Genome, Human, Alternative Splicing, Gene Silencing, Gene Expression Profiling, Nonsense Mediated mRNA Decay, Transcriptome
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