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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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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
Self-citationVan der Auwera, G. A., Carneiro, M. O., Hartl, C., Poplin, R., del Angel, G., Levy‐Moonshine, A., Jordan, T., Shakir, K., Roazen, D., Thibault, J., et al. (2013) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi1110s43 · Cited by 6,687
Self-citationA general framework for estimating the relative pathogenicity of human genetic variants
Kircher, M., Witten, D. M., Jain, P., O'Roak, B. J., Cooper, G. M., & Shendure, J. (2014) · Nature Genetics · doi:10.1038/ng.2892 · Cited by 6,183
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-citationProbable Inference, the Law of Succession, and Statistical Inference
Wilson, E. B. (1927) · Journal of the American Statistical Association · doi:10.1080/01621459.1927.10502953 · Cited by 4,476
ClinVar: public archive of relationships among sequence variation and human phenotype
Landrum, M. J., Lee, J. M., Riley, G. R., Jang, W., Rubinstein, W. S., Church, D. M., & Maglott, D. R. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1113 · Cited by 3,516
Sequence Variations in PCSK9, Low LDL, and Protection against Coronary Heart Disease
Cohen, J. C., Boerwinkle, E., Mosley, T. H., & Hobbs, H. H. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa054013 · Cited by 3,181
Origins and functional impact of copy number variation in the human genome
The Wellcome Trust Case Control Consortium, Conrad, D. F., Pinto, D., Redon, R., Feuk, L., Gokcumen, O., Zhang, Y., Aerts, J., Andrews, T. D., Barnes, C., et al. (2010) · Nature · doi:10.1038/nature08516 · Cited by 1,970
Self-citationTranscriptome 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
Self-citationA polygenic burden of rare disruptive mutations in schizophrenia
Purcell, S. M., Moran, J. L., Fromer, M., Ruderfer, D., Solovieff, N., Roussos, P., O’Dushlaine, C., Chambert, K., Bergen, S. E., Kähler, A., et al. (2014) · Nature · doi:10.1038/nature12975 · Cited by 1,385
Self-citationStenson, P. D., Mort, M. E., Ball, E. V., Shaw, K., Phillips, A. D., & Cooper, D. N. (2013) · Human Genetics · doi:10.1007/s00439-013-1358-4 · Cited by 1,350
Self-citationA Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes
MacArthur, D. G., Balasubramanian, S., Frankish, A., Huang, N., Morris, J., Walter, K., Jostins, L., Habegger, L., Pickrell, J. K., Montgomery, S. B., et al. (2012) · Science · doi:10.1126/science.1215040 · Cited by 1,272
Self-citationPre-mRNA splicing and human diseasePreprint
Faustino, N. A., & Cooper, T. A. (2003) · Genes & Development · doi:10.1101/gad.1048803 · Cited by 1,248
The human splicing code reveals new insights into the genetic determinants of disease
Xiong, H. Y., Alipanahi, B., Lee, L. J., Bretschneider, H., Merico, D., Yuen, R. K. C., Hua, Y., Gueroussov, S., Najafabadi, H. S., Hughes, T., et al. (2014) · Science · doi:10.1126/science.1254806 · Cited by 1,243
Nagy, E., & Maquat, L. E. (1998) · Trends in Biochemical Sciences · doi:10.1016/s0968-0004(98)01208-0 · Cited by 1,187
Stegle, O., Parts, L., Piipari, M., Winn, J., & Durbin, R. (2012) · Nature Protocols · doi:10.1038/nprot.2011.457 · Cited by 1,049
Self-citationTHE MOLECULAR BASIS OF DOMINANCE
KACSER, H., & Burns, J. A. (1981) · Genetics · doi:10.1093/genetics/97.3-4.639 · Cited by 1,040
Characterising and Predicting Haploinsufficiency in the Human Genome
Huang, N., Lee, I., Marcotte, E. M., & Hurles, M. E. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001154 · Cited by 659
Nonsense-mediated decay approaches the clinic
Holbrook, J. A., Neu‐Yilik, G., Hentze, M. W., & Kulozik, A. E. (2004) · Nature Genetics · doi:10.1038/ng1403 · Cited by 605
Discovery and Statistical Genotyping of Copy-Number Variation from Whole-Exome Sequencing Depth
Fromer, M., Moran, J. L., Chambert, K., Banks, E., Bergen, S. E., Ruderfer, D. M., Handsaker, R. E., McCarroll, S. A., O’Donovan, M. C., Owen, M. J., et al. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.08.005 · Cited by 578
Self-citationThe GEM mapper: fast, accurate and versatile alignment by filtration
Marco‐Sola, S., Sammeth, M., Guigó, R., & Ribeca, P. (2012) · Nature Methods · doi:10.1038/nmeth.2221 · Cited by 545
Self-citation20 Splicing of Precursors to mRNAs by the Spliceosomes
Burge, C. B., Tuschl, T., & Sharp, P. A. (1999) · doi:10.1101/087969589.37.525 · Cited by 538
Loss-of-function mutations in SLC30A8 protect against type 2 diabetes
Go-T2D Consortium, Flannick, J., T2D-GENES Consortium, Thorleifsson, G., Beer, N. L., Jacobs, S. B. R., Grarup, N., Burtt, N. P., Mahajan, A., Fuchsberger, C., et al. (2014) · Nature Genetics · doi:10.1038/ng.2915 · Cited by 492
Self-citationCopy number variants, diseases and gene expression
Henrichsen, C. N., Chaignat, E., & Reymond, A. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp011 · Cited by 442
Segmental copy number variation shapes tissue transcriptomes
Hor, C. N., Vinckenbosch, N., Zöllner, S. K., Chaignat, E., Pradervand, S., Schütz, F., Rüedi, M., Kaessmann, H., & Reymond, A. (2009) · Nature Genetics · doi:10.1038/ng.345 · Cited by 317
The Genotype-Tissue Expression (GTEx) project
Lonsdale, J., Thomas, J., Salvatore, M., Phillips, R., Lo, E., Shad, S., Hasz, R., Walters, G., Garcia, F., Young, N., et al. (2013) · Nature Genetics · doi:10.1038/ng.2653 · Cited by 263
Montgomery, S. B., Goode, D. L., Kvikstad, E. M., Albers, C. A., Zhang, Z. D., Mu, X. J., Ananda, G., Howie, B., Karczewski, K. J., Smith, K. S., et al. (2013) · Genome Research · doi:10.1101/gr.148718.112 · Cited by 253
Self-citationReproducibility of high-throughput mRNA and small RNA sequencing across laboratories
The GEUVADIS Consortium, 't Hoen, P. A. C., Friedländer, M. R., Almlöf, J., Sammeth, M., Pulyakhina, I., Anvar, S. Y., Laros, J. F. J., Buermans, H. P. J., Karlberg, O., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2702 · Cited by 250
Self-citationGenome-Wide Association between Branch Point Properties and Alternative Splicing
Corvelo, A., Hallegger, M., Smith, C. W. J., & Eyras, E. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001016 · Cited by 226
Skelly, D. A., Johansson, M., Madeoy, J., Wakefield, J., & Akey, J. M. (2011) · Genome Research · doi:10.1101/gr.119784.110 · Cited by 203
Choice of transcripts and software has a large effect on variant annotation
McCarthy, D. J., Humburg, P., Kanapin, A. A., Rivas, M. A., Gaulton, K. J., Cazier, J., & Donnelly, P. (2014) · Genome Medicine · doi:10.1186/gm543 · Cited by 202
Self-citationUsing XHMM Software to Detect Copy Number Variation in Whole‐Exome Sequencing Data
Fromer, M., & Purcell, S. (2014) · Current Protocols in Human Genetics · doi:10.1002/0471142905.hg0723s81 · Cited by 184
Self-citationA robust statistical method for case-control association testing with copy number variation
Barnes, C. P., Plagnol, V., Fitzgerald, T. W., Redon, R., Marchini, J., Clayton, D. G., & Hurles, M. E. (2008) · Nature Genetics · doi:10.1038/ng.206 · Cited by 175
Aslanidis, C., Ries, S. J., Fehringer, P., Büchler, C., Klima, H., & Schmitz, G. (1996) · Genomics · doi:10.1006/geno.1996.0162 · Cited by 162
Stevenson, K. R., Coolon, J. D., & Wittkopp, P. J. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-536 · Cited by 140
Bateman, J. F. (2003) · Human Molecular Genetics · doi:10.1093/hmg/ddg054 · Cited by 139
Schlattl, A., Anders, S., Waszak, S. M., Huber, W. K., & Korbel, J. O. (2011) · Genome Research · doi:10.1101/gr.122614.111 · Cited by 129
Long-range polony haplotyping of individual human chromosome molecules
Zhang, K., Zhu, J., Shendure, J., Porreca, G. J., Aach, J., Mitra, R. D., & Church, G. M. (2006) · Nature Genetics · doi:10.1038/ng1741 · Cited by 114
Self-citationCopy-Number Variation: The Balance between Gene Dosage and Expression in Drosophila melanogaster
Zhou, J. L., Lemos, B., Dopman, E. B., & Hartl, D. L. (2011) · Genome Biology and Evolution · doi:10.1093/gbe/evr023 · Cited by 99
Quantifying RNA allelic ratios by microfluidic multiplex PCR and sequencing
Zhang, R., Li, X., Ramaswami, G., Smith, K. S., Turecki, G., Montgomery, S. B., & Li, J. B. (2013) · Nature Methods · doi:10.1038/nmeth.2736 · Cited by 87
Self-citationAssessing allele-specific expression across multiple tissues from RNA-seq read data
Pirinen, M., Lappalainen, T., Zaitlen, N., Dermitzakis, E. T., Donnelly, P., McCarthy, M. I., & Rivas, M. A. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv074 · Cited by 82
Self-citationAllelic mapping bias in RNA-sequencing is not a major confounder in eQTL studies
Panousis, N. I., Gutiérrez‐Arcelus, M., Dermitzakis, E. T., & Lappalainen, T. (2014) · Genome biology · doi:10.1186/s13059-014-0467-2 · Cited by 70
Self-citationAllelic Expression of Deleterious Protein-Coding Variants across Human Tissues
Kukurba, K. R., Zhang, R., Li, X., Smith, K. S., Knowles, D. A., Tan, M. H., Piskol, R., Lek, M., Snyder, M. P., MacArthur, D. G., et al. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004304 · Cited by 64
Self-citationMcAnally, A. A., & Yampolsky, L. Y. (2009) · Genome Biology and Evolution · doi:10.1093/gbe/evp054 · Cited by 44
Casadio, A., Longman, D., Hug, N., Delavaine, L., Baier, R. V., Alonso, C. R., & Cáceres, J. F. (2014) · EMBO Reports · doi:10.15252/embr.201439183 · Cited by 36
Detecting and describing heterogeneity in meta-analysis
Hardy, R. J., & Thompson, S. G. (1998) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19980430)17:8
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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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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