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  • 1
    Publication Date: 2015-10-08
    Description: Activation of oncogenes by mechanisms other than genetic aberrations such as mutations, translocations, or amplifications is largely undefined. Here we report a novel isoform of the anaplastic lymphoma kinase (ALK) that is expressed in approximately 11% of melanomas and sporadically in other human cancer types, but not in normal tissues. The novel ALK transcript initiates from a de novo alternative transcription initiation (ATI) site in ALK intron 19, and was termed ALK(ATI). In ALK(ATI)-expressing tumours, the ATI site is enriched for H3K4me3 and RNA polymerase II, chromatin marks characteristic of active transcription initiation sites. ALK(ATI) is expressed from both ALK alleles, and no recurrent genetic aberrations are found at the ALK locus, indicating that the transcriptional activation is independent of genetic aberrations at the ALK locus. The ALK(ATI) transcript encodes three proteins with molecular weights of 61.1, 60.8 and 58.7 kilodaltons, consisting primarily of the intracellular tyrosine kinase domain. ALK(ATI) stimulates multiple oncogenic signalling pathways, drives growth-factor-independent cell proliferation in vitro, and promotes tumorigenesis in vivo in mouse models. ALK inhibitors can suppress the kinase activity of ALK(ATI), suggesting that patients with ALK(ATI)-expressing tumours may benefit from ALK inhibitors. Our findings suggest a novel mechanism of oncogene activation in cancer through de novo alternative transcription initiation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wiesner, Thomas -- Lee, William -- Obenauf, Anna C -- Ran, Leili -- Murali, Rajmohan -- Zhang, Qi Fan -- Wong, Elissa W P -- Hu, Wenhuo -- Scott, Sasinya N -- Shah, Ronak H -- Landa, Inigo -- Button, Julia -- Lailler, Nathalie -- Sboner, Andrea -- Gao, Dong -- Murphy, Devan A -- Cao, Zhen -- Shukla, Shipra -- Hollmann, Travis J -- Wang, Lu -- Borsu, Laetitia -- Merghoub, Taha -- Schwartz, Gary K -- Postow, Michael A -- Ariyan, Charlotte E -- Fagin, James A -- Zheng, Deyou -- Ladanyi, Marc -- Busam, Klaus J -- Berger, Michael F -- Chen, Yu -- Chi, Ping -- DP2 CA174499/CA/NCI NIH HHS/ -- DP2CA174499/CA/NCI NIH HHS/ -- K08 CA151660/CA/NCI NIH HHS/ -- K08CA140946/CA/NCI NIH HHS/ -- K08CA151660/CA/NCI NIH HHS/ -- P01 CA129243/CA/NCI NIH HHS/ -- P01CA12943/CA/NCI NIH HHS/ -- P30 CA008748/CA/NCI NIH HHS/ -- P50 CA172012/CA/NCI NIH HHS/ -- P50CA172012/CA/NCI NIH HHS/ -- England -- Nature. 2015 Oct 15;526(7573):453-7. doi: 10.1038/nature15258. Epub 2015 Oct 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York 10065, USA. ; Department of Dermatology, Medical University of Graz, 8010 Graz, Austria. ; Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York 10065, USA. ; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York 10065, USA. ; Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York 10065, USA. ; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York 10065, USA. ; Marie-Josee and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York 10065, USA. ; Department of Pathology and Laboratory Medicine, Weill Cornell Medical College/New York Presbyterian Hospital, New York 10065, USA. ; Institute for Computational Biomedicine, Weill Cornell Medical College/New York Presbyterian Hospital, New York 10065, USA. ; Institute for Precision Medicine, Weill Cornell Medical College/New York Presbyterian Hospital, New York, USA. ; Immunology Program, Memorial Sloan Kettering Cancer Center 10065, New York, USA. ; Herbert Irving Comprehensive Cancer Center, Columbia University Cancer Center, New York 10032, USA. ; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York 10065, USA. ; Department of Medicine, Weill Cornell Medical College, New York 10065, USA. ; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York 10065, USA. ; Department of Neurology, Albert Einstein College of Medicine, New York 10461, USA. ; Department of Genetics, Albert Einstein College of Medicine, New York 10461, USA. ; Department of Neuroscience, Albert Einstein College of Medicine, New York 10461, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26444240" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2015-04-17
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mosquera, Juan-Miguel -- Varma, Sonal -- Pauli, Chantal -- MacDonald, Theresa Y -- Yashinskie, Jossie J -- Varga, Zsuzsanna -- Sboner, Andrea -- Moch, Holger -- Rubin, Mark A -- Shin, Sandra J -- England -- Nature. 2015 Apr 16;520(7547):E11-2. doi: 10.1038/nature14265.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York 10065, USA [2] Institute for Precision Medicine of Weill Cornell Medical College and New York-Presbyterian Hospital, New York, New York 10021, USA. ; Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York 10065, USA. ; 1] Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York 10065, USA [2] Institute for Precision Medicine of Weill Cornell Medical College and New York-Presbyterian Hospital, New York, New York 10021, USA [3] Institute for Surgical Pathology, University Hospital Zurich 8091, Switzerland. ; Institute for Surgical Pathology, University Hospital Zurich 8091, Switzerland. ; 1] Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York 10065, USA [2] Institute for Precision Medicine of Weill Cornell Medical College and New York-Presbyterian Hospital, New York, New York 10021, USA [3] Institute for Computational Biomedicine, Weill Cornell Medical College, New York, New York 10021, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25877206" target="_blank"〉PubMed〈/a〉
    Keywords: Breast Neoplasms/*classification/*genetics ; Female ; Humans ; Mutation/*genetics ; Translocation, Genetic/*genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2011-02-11
    Description: Prostate cancer is the second most common cause of male cancer deaths in the United States. However, the full range of prostate cancer genomic alterations is incompletely characterized. Here we present the complete sequence of seven primary human prostate cancers and their paired normal counterparts. Several tumours contained complex chains of balanced (that is, 'copy-neutral') rearrangements that occurred within or adjacent to known cancer genes. Rearrangement breakpoints were enriched near open chromatin, androgen receptor and ERG DNA binding sites in the setting of the ETS gene fusion TMPRSS2-ERG, but inversely correlated with these regions in tumours lacking ETS fusions. This observation suggests a link between chromatin or transcriptional regulation and the genesis of genomic aberrations. Three tumours contained rearrangements that disrupted CADM2, and four harboured events disrupting either PTEN (unbalanced events), a prostate tumour suppressor, or MAGI2 (balanced events), a PTEN interacting protein not previously implicated in prostate tumorigenesis. Thus, genomic rearrangements may arise from transcriptional or chromatin aberrancies and engage prostate tumorigenic mechanisms.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3075885/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3075885/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Berger, Michael F -- Lawrence, Michael S -- Demichelis, Francesca -- Drier, Yotam -- Cibulskis, Kristian -- Sivachenko, Andrey Y -- Sboner, Andrea -- Esgueva, Raquel -- Pflueger, Dorothee -- Sougnez, Carrie -- Onofrio, Robert -- Carter, Scott L -- Park, Kyung -- Habegger, Lukas -- Ambrogio, Lauren -- Fennell, Timothy -- Parkin, Melissa -- Saksena, Gordon -- Voet, Douglas -- Ramos, Alex H -- Pugh, Trevor J -- Wilkinson, Jane -- Fisher, Sheila -- Winckler, Wendy -- Mahan, Scott -- Ardlie, Kristin -- Baldwin, Jennifer -- Simons, Jonathan W -- Kitabayashi, Naoki -- MacDonald, Theresa Y -- Kantoff, Philip W -- Chin, Lynda -- Gabriel, Stacey B -- Gerstein, Mark B -- Golub, Todd R -- Meyerson, Matthew -- Tewari, Ashutosh -- Lander, Eric S -- Getz, Gad -- Rubin, Mark A -- Garraway, Levi A -- 2 P50 CA090381-11/CA/NCI NIH HHS/ -- DP2 OD002750/OD/NIH HHS/ -- DP2 OD002750-01/OD/NIH HHS/ -- R33 CA126674/CA/NCI NIH HHS/ -- R33 CA126674-03/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 Feb 10;470(7333):214-20. doi: 10.1038/nature09744.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21307934" target="_blank"〉PubMed〈/a〉
    Keywords: Carrier Proteins/genetics ; Case-Control Studies ; Cell Adhesion Molecules/genetics ; Chromatin/genetics/metabolism ; Chromosome Aberrations ; Chromosome Breakpoints ; Epigenesis, Genetic/genetics ; Gene Expression Regulation, Neoplastic ; Genome, Human/*genetics ; Humans ; Male ; PTEN Phosphohydrolase/genetics/metabolism ; Prostatic Neoplasms/*genetics ; Recombination, Genetic/genetics ; Signal Transduction/genetics ; Transcription, Genetic
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2010-12-24
    Description: We systematically generated large-scale data sets to improve genome annotation for the nematode Caenorhabditis elegans, a key model organism. These data sets include transcriptome profiling across a developmental time course, genome-wide identification of transcription factor-binding sites, and maps of chromatin organization. From this, we created more complete and accurate gene models, including alternative splice forms and candidate noncoding RNAs. We constructed hierarchical networks of transcription factor-binding and microRNA interactions and discovered chromosomal locations bound by an unusually large number of transcription factors. Different patterns of chromatin composition and histone modification were revealed between chromosome arms and centers, with similarly prominent differences between autosomes and the X chromosome. Integrating data types, we built statistical models relating chromatin, transcription factor binding, and gene expression. Overall, our analyses ascribed putative functions to most of the conserved genome.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142569/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142569/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gerstein, Mark B -- Lu, Zhi John -- Van Nostrand, Eric L -- Cheng, Chao -- Arshinoff, Bradley I -- Liu, Tao -- Yip, Kevin Y -- Robilotto, Rebecca -- Rechtsteiner, Andreas -- Ikegami, Kohta -- Alves, Pedro -- Chateigner, Aurelien -- Perry, Marc -- Morris, Mitzi -- Auerbach, Raymond K -- Feng, Xin -- Leng, Jing -- Vielle, Anne -- Niu, Wei -- Rhrissorrakrai, Kahn -- Agarwal, Ashish -- Alexander, Roger P -- Barber, Galt -- Brdlik, Cathleen M -- Brennan, Jennifer -- Brouillet, Jeremy Jean -- Carr, Adrian -- Cheung, Ming-Sin -- Clawson, Hiram -- Contrino, Sergio -- Dannenberg, Luke O -- Dernburg, Abby F -- Desai, Arshad -- Dick, Lindsay -- Dose, Andrea C -- Du, Jiang -- Egelhofer, Thea -- Ercan, Sevinc -- Euskirchen, Ghia -- Ewing, Brent -- Feingold, Elise A -- Gassmann, Reto -- Good, Peter J -- Green, Phil -- Gullier, Francois -- Gutwein, Michelle -- Guyer, Mark S -- Habegger, Lukas -- Han, Ting -- Henikoff, Jorja G -- Henz, Stefan R -- Hinrichs, Angie -- Holster, Heather -- Hyman, Tony -- Iniguez, A Leo -- Janette, Judith -- Jensen, Morten -- Kato, Masaomi -- Kent, W James -- Kephart, Ellen -- Khivansara, Vishal -- Khurana, Ekta -- Kim, John K -- Kolasinska-Zwierz, Paulina -- Lai, Eric C -- Latorre, Isabel -- Leahey, Amber -- Lewis, Suzanna -- Lloyd, Paul -- Lochovsky, Lucas -- Lowdon, Rebecca F -- Lubling, Yaniv -- Lyne, Rachel -- MacCoss, Michael -- Mackowiak, Sebastian D -- Mangone, Marco -- McKay, Sheldon -- Mecenas, Desirea -- Merrihew, Gennifer -- Miller, David M 3rd -- Muroyama, Andrew -- Murray, John I -- Ooi, Siew-Loon -- Pham, Hoang -- Phippen, Taryn -- Preston, Elicia A -- Rajewsky, Nikolaus -- Ratsch, Gunnar -- Rosenbaum, Heidi -- Rozowsky, Joel -- Rutherford, Kim -- Ruzanov, Peter -- Sarov, Mihail -- Sasidharan, Rajkumar -- Sboner, Andrea -- Scheid, Paul -- Segal, Eran -- Shin, Hyunjin -- Shou, Chong -- Slack, Frank J -- Slightam, Cindie -- Smith, Richard -- Spencer, William C -- Stinson, E O -- Taing, Scott -- Takasaki, Teruaki -- Vafeados, Dionne -- Voronina, Ksenia -- Wang, Guilin -- Washington, Nicole L -- Whittle, Christina M -- Wu, Beijing -- Yan, Koon-Kiu -- Zeller, Georg -- Zha, Zheng -- Zhong, Mei -- Zhou, Xingliang -- modENCODE Consortium -- Ahringer, Julie -- Strome, Susan -- Gunsalus, Kristin C -- Micklem, Gos -- Liu, X Shirley -- Reinke, Valerie -- Kim, Stuart K -- Hillier, LaDeana W -- Henikoff, Steven -- Piano, Fabio -- Snyder, Michael -- Stein, Lincoln -- Lieb, Jason D -- Waterston, Robert H -- 054523/Wellcome Trust/United Kingdom -- R01 GM088565/GM/NIGMS NIH HHS/ -- R01 GM088565-03/GM/NIGMS NIH HHS/ -- R01GM088565/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2010 Dec 24;330(6012):1775-87. doi: 10.1126/science.1196914. Epub 2010 Dec 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA. modencode.worm.pi@gersteinlab.org〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21177976" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Caenorhabditis elegans/*genetics/growth & development/metabolism ; Caenorhabditis elegans Proteins/genetics/metabolism ; Chromatin/genetics/metabolism/ultrastructure ; *Chromosomes/genetics/metabolism/ultrastructure ; Computational Biology/methods ; Conserved Sequence ; Evolution, Molecular ; *Gene Expression Profiling ; *Gene Expression Regulation ; Gene Regulatory Networks ; Genes, Helminth ; *Genome, Helminth ; Genomics/methods ; Histones/metabolism ; Models, Genetic ; *Molecular Sequence Annotation ; RNA, Helminth/genetics/metabolism ; RNA, Untranslated/genetics/metabolism ; Regulatory Sequences, Nucleic Acid ; Transcription Factors/genetics/metabolism
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2013-10-05
    Description: Interpreting variants, especially noncoding ones, in the increasing number of personal genomes is challenging. We used patterns of polymorphisms in functionally annotated regions in 1092 humans to identify deleterious variants; then we experimentally validated candidates. We analyzed both coding and noncoding regions, with the former corroborating the latter. We found regions particularly sensitive to mutations ("ultrasensitive") and variants that are disruptive because of mechanistic effects on transcription-factor binding (that is, "motif-breakers"). We also found variants in regions with higher network centrality tend to be deleterious. Insertions and deletions followed a similar pattern to single-nucleotide variants, with some notable exceptions (e.g., certain deletions and enhancers). On the basis of these patterns, we developed a computational tool (FunSeq), whose application to ~90 cancer genomes reveals nearly a hundred candidate noncoding drivers.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3947637/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3947637/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Khurana, Ekta -- Fu, Yao -- Colonna, Vincenza -- Mu, Xinmeng Jasmine -- Kang, Hyun Min -- Lappalainen, Tuuli -- Sboner, Andrea -- Lochovsky, Lucas -- Chen, Jieming -- Harmanci, Arif -- Das, Jishnu -- Abyzov, Alexej -- Balasubramanian, Suganthi -- Beal, Kathryn -- Chakravarty, Dimple -- Challis, Daniel -- Chen, Yuan -- Clarke, Declan -- Clarke, Laura -- Cunningham, Fiona -- Evani, Uday S -- Flicek, Paul -- Fragoza, Robert -- Garrison, Erik -- Gibbs, Richard -- Gumus, Zeynep H -- Herrero, Javier -- Kitabayashi, Naoki -- Kong, Yong -- Lage, Kasper -- Liluashvili, Vaja -- Lipkin, Steven M -- MacArthur, Daniel G -- Marth, Gabor -- Muzny, Donna -- Pers, Tune H -- Ritchie, Graham R S -- Rosenfeld, Jeffrey A -- Sisu, Cristina -- Wei, Xiaomu -- Wilson, Michael -- Xue, Yali -- Yu, Fuli -- 1000 Genomes Project Consortium -- Dermitzakis, Emmanouil T -- Yu, Haiyuan -- Rubin, Mark A -- Tyler-Smith, Chris -- Gerstein, Mark -- 085532/Wellcome Trust/United Kingdom -- 090532/Wellcome Trust/United Kingdom -- 095908/Wellcome Trust/United Kingdom -- 098051/Wellcome Trust/United Kingdom -- CA167824/CA/NCI NIH HHS/ -- G12 MD007579/MD/NIMHD NIH HHS/ -- G12 RR003050/RR/NCRR NIH HHS/ -- GM104424/GM/NIGMS NIH HHS/ -- HG005718/HG/NHGRI NIH HHS/ -- HG007000/HG/NHGRI NIH HHS/ -- P20 MD006899/MD/NIMHD NIH HHS/ -- R01 CA166661/CA/NCI NIH HHS/ -- R01 HG002898/HG/NHGRI NIH HHS/ -- R01CA152057/CA/NCI NIH HHS/ -- R01HG4719/HG/NHGRI NIH HHS/ -- U01 CA111275/CA/NCI NIH HHS/ -- U01 HG005718/HG/NHGRI NIH HHS/ -- U01HG6513/HG/NHGRI NIH HHS/ -- U41 HG007000/HG/NHGRI NIH HHS/ -- U54 HG003079/HG/NHGRI NIH HHS/ -- UL1 TR000457/TR/NCATS NIH HHS/ -- WT085532/Wellcome Trust/United Kingdom -- WT095908/Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2013 Oct 4;342(6154):1235587. doi: 10.1126/science.1235587.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24092746" target="_blank"〉PubMed〈/a〉
    Keywords: Binding Sites/genetics ; *Genetic Variation ; Genome, Human ; Genomics ; Humans ; Kruppel-Like Transcription Factors/metabolism ; Molecular Sequence Annotation/*methods ; Mutation ; Neoplasms/*genetics ; Polymorphism, Single Nucleotide ; Population/genetics ; RNA, Untranslated/genetics ; Selection, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2016-01-21
    Description: In this review, we describe key components of a computational infrastructure for a precision medicine program that is based on clinical-grade genomic sequencing. Specific aspects covered in this review include software components and hardware infrastructure, reporting, integration into Electronic Health Records for routine clinical use and regulatory aspects. We emphasize informatics components related to reproducibility and reliability in genomic testing, regulatory compliance, traceability and documentation of processes, integration into clinical workflows, privacy requirements, prioritization and interpretation of results to report based on clinical needs, rapidly evolving knowledge base of genomic alterations and clinical treatments and return of results in a timely and predictable fashion. We also seek to differentiate between the use of precision medicine in germline and cancer.
    Print ISSN: 1467-5463
    Electronic ISSN: 1477-4054
    Topics: Biology , Computer Science
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  • 7
    Publication Date: 2012-08-25
    Description: : The functional annotation of variants obtained through sequencing projects is generally assumed to be a simple intersection of genomic coordinates with genomic features. However, complexities arise for several reasons, including the differential effects of a variant on alternatively spliced transcripts, as well as the difficulty in assessing the impact of small insertions/deletions and large structural variants. Taking these factors into consideration, we developed the Variant Annotation Tool (VAT) to functionally annotate variants from multiple personal genomes at the transcript level as well as obtain summary statistics across genes and individuals. VAT also allows visualization of the effects of different variants, integrates allele frequencies and genotype data from the underlying individuals and facilitates comparative analysis between different groups of individuals. VAT can either be run through a command-line interface or as a web application. Finally, in order to enable on-demand access and to minimize unnecessary transfers of large data files, VAT can be run as a virtual machine in a cloud-computing environment. Availability and Implementation: VAT is implemented in C and PHP. The VAT web service, Amazon Machine Image, source code and detailed documentation are available at vat.gersteinlab.org. Contact: lukas.habegger@yale.edu or mark.gerstein@yale.edu Supplementary Information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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