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  • Articles  (93)
  • Phenotype  (93)
  • American Association for the Advancement of Science (AAAS)  (93)
  • Blackwell Publishing Ltd
  • Institute of Physics
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  • 2015-2019  (7)
  • 2000-2004  (86)
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  • Articles  (93)
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  • 1
    Publication Date: 2001-02-22
    Description: A 2.91-billion base pair (bp) consensus sequence of the euchromatic portion of the human genome was generated by the whole-genome shotgun sequencing method. The 14.8-billion bp DNA sequence was generated over 9 months from 27,271,853 high-quality sequence reads (5.11-fold coverage of the genome) from both ends of plasmid clones made from the DNA of five individuals. Two assembly strategies-a whole-genome assembly and a regional chromosome assembly-were used, each combining sequence data from Celera and the publicly funded genome effort. The public data were shredded into 550-bp segments to create a 2.9-fold coverage of those genome regions that had been sequenced, without including biases inherent in the cloning and assembly procedure used by the publicly funded group. This brought the effective coverage in the assemblies to eightfold, reducing the number and size of gaps in the final assembly over what would be obtained with 5.11-fold coverage. The two assembly strategies yielded very similar results that largely agree with independent mapping data. The assemblies effectively cover the euchromatic regions of the human chromosomes. More than 90% of the genome is in scaffold assemblies of 100,000 bp or more, and 25% of the genome is in scaffolds of 10 million bp or larger. Analysis of the genome sequence revealed 26,588 protein-encoding transcripts for which there was strong corroborating evidence and an additional approximately 12,000 computationally derived genes with mouse matches or other weak supporting evidence. Although gene-dense clusters are obvious, almost half the genes are dispersed in low G+C sequence separated by large tracts of apparently noncoding sequence. Only 1.1% of the genome is spanned by exons, whereas 24% is in introns, with 75% of the genome being intergenic DNA. Duplications of segmental blocks, ranging in size up to chromosomal lengths, are abundant throughout the genome and reveal a complex evolutionary history. Comparative genomic analysis indicates vertebrate expansions of genes associated with neuronal function, with tissue-specific developmental regulation, and with the hemostasis and immune systems. DNA sequence comparisons between the consensus sequence and publicly funded genome data provided locations of 2.1 million single-nucleotide polymorphisms (SNPs). A random pair of human haploid genomes differed at a rate of 1 bp per 1250 on average, but there was marked heterogeneity in the level of polymorphism across the genome. Less than 1% of all SNPs resulted in variation in proteins, but the task of determining which SNPs have functional consequences remains an open challenge.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Venter, J C -- Adams, M D -- Myers, E W -- Li, P W -- Mural, R J -- Sutton, G G -- Smith, H O -- Yandell, M -- Evans, C A -- Holt, R A -- Gocayne, J D -- Amanatides, P -- Ballew, R M -- Huson, D H -- Wortman, J R -- Zhang, Q -- Kodira, C D -- Zheng, X H -- Chen, L -- Skupski, M -- Subramanian, G -- Thomas, P D -- Zhang, J -- Gabor Miklos, G L -- Nelson, C -- Broder, S -- Clark, A G -- Nadeau, J -- McKusick, V A -- Zinder, N -- Levine, A J -- Roberts, R J -- Simon, M -- Slayman, C -- Hunkapiller, M -- Bolanos, R -- Delcher, A -- Dew, I -- Fasulo, D -- Flanigan, M -- Florea, L -- Halpern, A -- Hannenhalli, S -- Kravitz, S -- Levy, S -- Mobarry, C -- Reinert, K -- Remington, K -- Abu-Threideh, J -- Beasley, E -- Biddick, K -- Bonazzi, V -- Brandon, R -- Cargill, M -- Chandramouliswaran, I -- Charlab, R -- Chaturvedi, K -- Deng, Z -- Di Francesco, V -- Dunn, P -- Eilbeck, K -- Evangelista, C -- Gabrielian, A E -- Gan, W -- Ge, W -- Gong, F -- Gu, Z -- Guan, P -- Heiman, T J -- Higgins, M E -- Ji, R R -- Ke, Z -- Ketchum, K A -- Lai, Z -- Lei, Y -- Li, Z -- Li, J -- Liang, Y -- Lin, X -- Lu, F -- Merkulov, G V -- Milshina, N -- Moore, H M -- Naik, A K -- Narayan, V A -- Neelam, B -- Nusskern, D -- Rusch, D B -- Salzberg, S -- Shao, W -- Shue, B -- Sun, J -- Wang, Z -- Wang, A -- Wang, X -- Wang, J -- Wei, M -- Wides, R -- Xiao, C -- Yan, C -- Yao, A -- Ye, J -- Zhan, M -- Zhang, W -- Zhang, H -- Zhao, Q -- Zheng, L -- Zhong, F -- Zhong, W -- Zhu, S -- Zhao, S -- Gilbert, D -- Baumhueter, S -- Spier, G -- Carter, C -- Cravchik, A -- Woodage, T -- Ali, F -- An, H -- Awe, A -- Baldwin, D -- Baden, H -- Barnstead, M -- Barrow, I -- Beeson, K -- Busam, D -- Carver, A -- Center, A -- Cheng, M L -- Curry, L -- Danaher, S -- Davenport, L -- Desilets, R -- Dietz, S -- Dodson, K -- Doup, L -- Ferriera, S -- Garg, N -- Gluecksmann, A -- Hart, B -- Haynes, J -- Haynes, C -- Heiner, C -- Hladun, S -- Hostin, D -- Houck, J -- Howland, T -- Ibegwam, C -- Johnson, J -- Kalush, F -- Kline, L -- Koduru, S -- Love, A -- Mann, F -- May, D -- McCawley, S -- McIntosh, T -- McMullen, I -- Moy, M -- Moy, L -- Murphy, B -- Nelson, K -- Pfannkoch, C -- Pratts, E -- Puri, V -- Qureshi, H -- Reardon, M -- Rodriguez, R -- Rogers, Y H -- Romblad, D -- Ruhfel, B -- Scott, R -- Sitter, C -- Smallwood, M -- Stewart, E -- Strong, R -- Suh, E -- Thomas, R -- Tint, N N -- Tse, S -- Vech, C -- Wang, G -- Wetter, J -- Williams, S -- Williams, M -- Windsor, S -- Winn-Deen, E -- Wolfe, K -- Zaveri, J -- Zaveri, K -- Abril, J F -- Guigo, R -- Campbell, M J -- Sjolander, K V -- Karlak, B -- Kejariwal, A -- Mi, H -- Lazareva, B -- Hatton, T -- Narechania, A -- Diemer, K -- Muruganujan, A -- Guo, N -- Sato, S -- Bafna, V -- Istrail, S -- Lippert, R -- Schwartz, R -- Walenz, B -- Yooseph, S -- Allen, D -- Basu, A -- Baxendale, J -- Blick, L -- Caminha, M -- Carnes-Stine, J -- Caulk, P -- Chiang, Y H -- Coyne, M -- Dahlke, C -- Mays, A -- Dombroski, M -- Donnelly, M -- Ely, D -- Esparham, S -- Fosler, C -- Gire, H -- Glanowski, S -- Glasser, K -- Glodek, A -- Gorokhov, M -- Graham, K -- Gropman, B -- Harris, M -- Heil, J -- Henderson, S -- Hoover, J -- Jennings, D -- Jordan, C -- Jordan, J -- Kasha, J -- Kagan, L -- Kraft, C -- Levitsky, A -- Lewis, M -- Liu, X -- Lopez, J -- Ma, D -- Majoros, W -- McDaniel, J -- Murphy, S -- Newman, M -- Nguyen, T -- Nguyen, N -- Nodell, M -- Pan, S -- Peck, J -- Peterson, M -- Rowe, W -- Sanders, R -- Scott, J -- Simpson, M -- Smith, T -- Sprague, A -- Stockwell, T -- Turner, R -- Venter, E -- Wang, M -- Wen, M -- Wu, D -- Wu, M -- Xia, A -- Zandieh, A -- Zhu, X -- New York, N.Y. -- Science. 2001 Feb 16;291(5507):1304-51.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Celera Genomics, 45 West Gude Drive, Rockville, MD 20850, USA. humangenome@celera.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11181995" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Animals ; Chromosome Banding ; Chromosome Mapping ; Chromosomes, Artificial, Bacterial ; Computational Biology ; Consensus Sequence ; CpG Islands ; DNA, Intergenic ; Databases, Factual ; Evolution, Molecular ; Exons ; Female ; Gene Duplication ; Genes ; Genetic Variation ; *Genome, Human ; *Human Genome Project ; Humans ; Introns ; Male ; Phenotype ; Physical Chromosome Mapping ; Polymorphism, Single Nucleotide ; Proteins/genetics/physiology ; Pseudogenes ; Repetitive Sequences, Nucleic Acid ; Retroelements ; *Sequence Analysis, DNA/methods ; Species Specificity
    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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  • 2
    Publication Date: 2015-05-09
    Description: Accurate prediction of the functional effect of genetic variation is critical for clinical genome interpretation. We systematically characterized the transcriptome effects of protein-truncating variants, a class of variants expected to have profound effects on gene function, using data from the Genotype-Tissue Expression (GTEx) and Geuvadis projects. We quantitated tissue-specific and positional effects on nonsense-mediated transcript decay and present an improved predictive model for this decay. We directly measured the effect of variants both proximal and distal to splice junctions. Furthermore, we found that robustness to heterozygous gene inactivation is not due to dosage compensation. Our results illustrate the value of transcriptome data in the functional interpretation of genetic variants.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537935/" 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/PMC4537935/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rivas, Manuel A -- Pirinen, Matti -- Conrad, Donald F -- Lek, Monkol -- Tsang, Emily K -- Karczewski, Konrad J -- Maller, Julian B -- Kukurba, Kimberly R -- DeLuca, David S -- Fromer, Menachem -- Ferreira, Pedro G -- Smith, Kevin S -- Zhang, Rui -- Zhao, Fengmei -- Banks, Eric -- Poplin, Ryan -- Ruderfer, Douglas M -- Purcell, Shaun M -- Tukiainen, Taru -- Minikel, Eric V -- Stenson, Peter D -- Cooper, David N -- Huang, Katharine H -- Sullivan, Timothy J -- Nedzel, Jared -- GTEx Consortium -- Geuvadis Consortium -- Bustamante, Carlos D -- Li, Jin Billy -- Daly, Mark J -- Guigo, Roderic -- Donnelly, Peter -- Ardlie, Kristin -- Sammeth, Michael -- Dermitzakis, Emmanouil T -- McCarthy, Mark I -- Montgomery, Stephen B -- Lappalainen, Tuuli -- MacArthur, Daniel G -- 090532/Wellcome Trust/United Kingdom -- 090532/Z/09/Z/Wellcome Trust/United Kingdom -- 095552/Wellcome Trust/United Kingdom -- 095552/Z/11/Z/Wellcome Trust/United Kingdom -- 098381/Wellcome Trust/United Kingdom -- DA006227/DA/NIDA NIH HHS/ -- HHSN261200800001E/CA/NCI NIH HHS/ -- HHSN261200800001E/PHS HHS/ -- HHSN268201000029C/HL/NHLBI NIH HHS/ -- HHSN268201000029C/PHS HHS/ -- MH090936/MH/NIMH NIH HHS/ -- MH090937/MH/NIMH NIH HHS/ -- MH090941/MH/NIMH NIH HHS/ -- MH090948/MH/NIMH NIH HHS/ -- MH090951/MH/NIMH NIH HHS/ -- P30 DK020595/DK/NIDDK NIH HHS/ -- R01 GM104371/GM/NIGMS NIH HHS/ -- R01 MH090941/MH/NIMH NIH HHS/ -- R01 MH101810/MH/NIMH NIH HHS/ -- R01 MH101814/MH/NIMH NIH HHS/ -- R01 MH101820/MH/NIMH NIH HHS/ -- R01GM104371/GM/NIGMS NIH HHS/ -- R01MH090941/MH/NIMH NIH HHS/ -- R01MH101810/MH/NIMH NIH HHS/ -- R01MH101814/MH/NIMH NIH HHS/ -- U01 HG007593/HG/NHGRI NIH HHS/ -- U01HG007593/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 May 8;348(6235):666-9. doi: 10.1126/science.1261877.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK. rivas@well.ox.ac.uk tlappalainen@nygenome.org macarthur@atgu.mgh.harvard.edu. ; FInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland. ; Washington University in St. Louis, St. Louis, MO, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. ; Department of Genetics, Stanford University, Stanford, CA, USA. Department of Pathology, Stanford University, Stanford, CA, USA. Biomedical Informatics Program, Stanford University, Stanford, CA, USA. ; Department of Genetics, Stanford University, Stanford, CA, USA. Department of Pathology, Stanford University, Stanford, CA, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. Department of Psychiatry, Mt. Sinai Hospital, NY, USA. ; Department of Genetic Medicine and Development,University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Department of Genetics, Stanford University, Stanford, CA, USA. ; Department of Psychiatry, Mt. Sinai Hospital, NY, USA. Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. Department of Psychiatry, Mt. Sinai Hospital, NY, USA. Division of Psychiatric Genomics, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, USA. ; Institute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, UK. ; Center for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Wellcome Trust Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK. Department of Statistics, University of Oxford, Oxford, UK. ; Center for Genomic Regulation (CRG), Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. ; Wellcome Trust Centre for Human Genetics, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK. Oxford Center for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK. ; Department of Genetics, Stanford University, Stanford, CA, USA. Department of Genetic Medicine and Development,University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. rivas@well.ox.ac.uk tlappalainen@nygenome.org macarthur@atgu.mgh.harvard.edu. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. Department of Medicine, Harvard Medical School, Boston, MA, USA. rivas@well.ox.ac.uk tlappalainen@nygenome.org macarthur@atgu.mgh.harvard.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25954003" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing ; Gene Expression Profiling ; *Gene Expression Regulation ; Gene Silencing ; *Genetic Variation ; Genome, Human/*genetics ; Heterozygote ; Humans ; Nonsense Mediated mRNA Decay ; Phenotype ; Proteins/*genetics ; *Transcriptome
    Print ISSN: 0036-8075
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2001-03-10
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nadeau, J H -- Balling, R -- Barsh, G -- Beier, D -- Brown, S D -- Bucan, M -- Camper, S -- Carlson, G -- Copeland, N -- Eppig, J -- Fletcher, C -- Frankel, W N -- Ganten, D -- Goldowitz, D -- Goodnow, C -- Guenet, J L -- Hicks, G -- Hrabe de Angelis, M -- Jackson, I -- Jacob, H J -- Jenkins, N -- Johnson, D -- Justice, M -- Kay, S -- Kingsley, D -- Lehrach, H -- Magnuson, T -- Meisler, M -- Poustka, A -- Rinchik, E M -- Rossant, J -- Russell, L B -- Schimenti, J -- Shiroishi, T -- Skarnes, W C -- Soriano, P -- Stanford, W -- Takahashi, J S -- Wurst, W -- Zimmer, A -- International Mouse Mutagenesis Consortium -- New York, N.Y. -- Science. 2001 Feb 16;291(5507):1251-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, BRB 624, Case Western Reserve University School of Medicine, 10900 Euclid Avenue, Cleveland, OH 44106, USA. jhn4@po.cwru.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11233449" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Chromosome Mapping ; *Computational Biology ; Costs and Cost Analysis ; Genes/physiology ; Genetic Techniques ; *Genome ; *Genomics ; International Cooperation ; Mice/*genetics ; Mutagenesis ; Mutation ; Phenotype ; Private Sector ; Public Sector ; Research Support as Topic ; *Sequence Analysis, DNA
    Print ISSN: 0036-8075
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2016-02-26
    Description: Many modern human genomes retain DNA inherited from interbreeding with archaic hominins, such as Neandertals, yet the influence of this admixture on human traits is largely unknown. We analyzed the contribution of common Neandertal variants to over 1000 electronic health record (EHR)-derived phenotypes in ~28,000 adults of European ancestry. We discovered and replicated associations of Neandertal alleles with neurological, psychiatric, immunological, and dermatological phenotypes. Neandertal alleles together explained a significant fraction of the variation in risk for depression and skin lesions resulting from sun exposure (actinic keratosis), and individual Neandertal alleles were significantly associated with specific human phenotypes, including hypercoagulation and tobacco use. Our results establish that archaic admixture influences disease risk in modern humans, provide hypotheses about the effects of hundreds of Neandertal haplotypes, and demonstrate the utility of EHR data in evolutionary analyses.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Simonti, Corinne N -- Vernot, Benjamin -- Bastarache, Lisa -- Bottinger, Erwin -- Carrell, David S -- Chisholm, Rex L -- Crosslin, David R -- Hebbring, Scott J -- Jarvik, Gail P -- Kullo, Iftikhar J -- Li, Rongling -- Pathak, Jyotishman -- Ritchie, Marylyn D -- Roden, Dan M -- Verma, Shefali S -- Tromp, Gerard -- Prato, Jeffrey D -- Bush, William S -- Akey, Joshua M -- Denny, Joshua C -- Capra, John A -- 1K22LM011938/LM/NLM NIH HHS/ -- 1R01GM114128/GM/NIGMS NIH HHS/ -- 5T32EY021453/EY/NEI NIH HHS/ -- R01GM110068/GM/NIGMS NIH HHS/ -- R01LM010685/LM/NLM NIH HHS/ -- U01HG004438/HG/NHGRI NIH HHS/ -- U01HG004608/HG/NHGRI NIH HHS/ -- U01HG004609/HG/NHGRI NIH HHS/ -- U01HG004610/HG/NHGRI NIH HHS/ -- U01HG006378/HG/NHGRI NIH HHS/ -- U01HG006379/HG/NHGRI NIH HHS/ -- U01HG006380/HG/NHGRI NIH HHS/ -- U01HG006382/HG/NHGRI NIH HHS/ -- U01HG006385/HG/NHGRI NIH HHS/ -- U01HG006388/HG/NHGRI NIH HHS/ -- U01HG006389/HG/NHGRI NIH HHS/ -- U01HG008657/HG/NHGRI NIH HHS/ -- U01HG04599/HG/NHGRI NIH HHS/ -- U01HG04603/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2016 Feb 12;351(6274):737-41. doi: 10.1126/science.aad2149.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA. ; Department of Genome Sciences, University of Washington, Seattle, WA, USA. ; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA. ; Mount Sinai School of Medicine, New York, NY, USA. ; Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, USA. ; Center for Genetic Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. ; Department of Genome Sciences, University of Washington, Seattle, WA, USA. Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, USA. ; Center for Human Genetics, Marshfield Clinic, Marshfield, WI, USA. ; Division of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA. ; Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. ; Division of Health Sciences Research, Mayo Clinic, Rochester, MN, USA. ; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA. Biomedical and Translational Informatics, Geisinger Health System, Danville, PA, USA. ; Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA. Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA. Department of Medicine, Vanderbilt University, Nashville, TN, USA. Department of Pharmacology, Vanderbilt University, Nashville, TN, USA. ; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, USA. ; Weis Center for Research, Geisinger Health System, Danville, PA, USA. Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Health Science, Stellenbosch University, Tygerberg, South Africa. ; Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA. ; Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA. Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA. Department of Medicine, Vanderbilt University, Nashville, TN, USA. ; Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA. Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA. Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA. Center for Quantitative Sciences, Vanderbilt University, Nashville, TN, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26912863" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Animals ; Depression/genetics ; Disease/*genetics ; European Continental Ancestry Group/genetics ; Evolution, Molecular ; Genetic Variation ; Genome, Human ; Haplotypes ; Humans ; Keratosis, Actinic/genetics ; Neanderthals/*genetics ; Phenotype
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  • 5
    Publication Date: 2004-01-06
    Description: To initiate studies on how protein-protein interaction (or "interactome") networks relate to multicellular functions, we have mapped a large fraction of the Caenorhabditis elegans interactome network. Starting with a subset of metazoan-specific proteins, more than 4000 interactions were identified from high-throughput, yeast two-hybrid (HT=Y2H) screens. Independent coaffinity purification assays experimentally validated the overall quality of this Y2H data set. Together with already described Y2H interactions and interologs predicted in silico, the current version of the Worm Interactome (WI5) map contains approximately 5500 interactions. Topological and biological features of this interactome network, as well as its integration with phenome and transcriptome data sets, lead to numerous biological hypotheses.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1698949/" 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/PMC1698949/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Li, Siming -- Armstrong, Christopher M -- Bertin, Nicolas -- Ge, Hui -- Milstein, Stuart -- Boxem, Mike -- Vidalain, Pierre-Olivier -- Han, Jing-Dong J -- Chesneau, Alban -- Hao, Tong -- Goldberg, Debra S -- Li, Ning -- Martinez, Monica -- Rual, Jean-Francois -- Lamesch, Philippe -- Xu, Lai -- Tewari, Muneesh -- Wong, Sharyl L -- Zhang, Lan V -- Berriz, Gabriel F -- Jacotot, Laurent -- Vaglio, Philippe -- Reboul, Jerome -- Hirozane-Kishikawa, Tomoko -- Li, Qianru -- Gabel, Harrison W -- Elewa, Ahmed -- Baumgartner, Bridget -- Rose, Debra J -- Yu, Haiyuan -- Bosak, Stephanie -- Sequerra, Reynaldo -- Fraser, Andrew -- Mango, Susan E -- Saxton, William M -- Strome, Susan -- Van Den Heuvel, Sander -- Piano, Fabio -- Vandenhaute, Jean -- Sardet, Claude -- Gerstein, Mark -- Doucette-Stamm, Lynn -- Gunsalus, Kristin C -- Harper, J Wade -- Cusick, Michael E -- Roth, Frederick P -- Hill, David E -- Vidal, Marc -- R01 AG011085/AG/NIA NIH HHS/ -- R01 GM034059/GM/NIGMS NIH HHS/ -- R01 GM034059-18/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2004 Jan 23;303(5657):540-3. Epub 2004 Jan 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Dana-Farber Cancer Institute and Department of Genetics, Harvard Medical School, 44 Binney Street, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14704431" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Caenorhabditis elegans/genetics/*metabolism ; Caenorhabditis elegans Proteins/genetics/*metabolism ; Computational Biology ; Evolution, Molecular ; Genes, Helminth ; Genomics ; Open Reading Frames ; Phenotype ; Protein Binding ; Proteome/*metabolism ; Transcription, Genetic ; Two-Hybrid System Techniques
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  • 6
    Publication Date: 2001-10-27
    Description: Skeletal muscle adapts to decreases in activity and load by undergoing atrophy. To identify candidate molecular mediators of muscle atrophy, we performed transcript profiling. Although many genes were up-regulated in a single rat model of atrophy, only a small subset was universal in all atrophy models. Two of these genes encode ubiquitin ligases: Muscle RING Finger 1 (MuRF1), and a gene we designate Muscle Atrophy F-box (MAFbx), the latter being a member of the SCF family of E3 ubiquitin ligases. Overexpression of MAFbx in myotubes produced atrophy, whereas mice deficient in either MAFbx or MuRF1 were found to be resistant to atrophy. These proteins are potential drug targets for the treatment of muscle atrophy.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bodine, S C -- Latres, E -- Baumhueter, S -- Lai, V K -- Nunez, L -- Clarke, B A -- Poueymirou, W T -- Panaro, F J -- Na, E -- Dharmarajan, K -- Pan, Z Q -- Valenzuela, D M -- DeChiara, T M -- Stitt, T N -- Yancopoulos, G D -- Glass, D J -- New York, N.Y. -- Science. 2001 Nov 23;294(5547):1704-8. Epub 2001 Oct 25.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Regeneron Pharmaceuticals, 777 Old Saw Mill River Road, Tarrytown, NY, 10591-6707, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11679633" target="_blank"〉PubMed〈/a〉
    Keywords: Amino Acid Sequence ; Animals ; Cloning, Molecular ; Creatine Kinase/genetics ; Creatine Kinase, MM Form ; *DNA-Binding Proteins ; Gene Deletion ; *Gene Expression Profiling ; Hindlimb Suspension ; Humans ; Immobilization ; Isoenzymes/genetics ; Mice ; Mice, Knockout ; Molecular Sequence Data ; Muscle Denervation ; Muscle Proteins/genetics ; Muscle, Skeletal/growth & development/*metabolism/pathology/physiopathology ; Muscular Atrophy/*genetics/pathology/physiopathology ; MyoD Protein/genetics ; Myogenic Regulatory Factor 5 ; Myogenin/genetics ; Peptide Synthases/chemistry/deficiency/genetics/*metabolism ; Phenotype ; Protein Binding ; RNA, Messenger/analysis/genetics ; Rats ; Rats, Sprague-Dawley ; SKP Cullin F-Box Protein Ligases ; *Trans-Activators ; Up-Regulation
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2002-05-11
    Description: Comparison of the whole-genome sequence of Bacillus anthracis isolated from a victim of a recent bioterrorist anthrax attack with a reference reveals 60 new markers that include single nucleotide polymorphisms (SNPs), inserted or deleted sequences, and tandem repeats. Genome comparison detected four high-quality SNPs between the two sequenced B. anthracis chromosomes and seven differences among different preparations of the reference genome. These markers have been tested on a collection of anthrax isolates and were found to divide these samples into distinct families. These results demonstrate that genome-based analysis of microbial pathogens will provide a powerful new tool for investigation of infectious disease outbreaks.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Read, Timothy D -- Salzberg, Steven L -- Pop, Mihai -- Shumway, Martin -- Umayam, Lowell -- Jiang, Lingxia -- Holtzapple, Erik -- Busch, Joseph D -- Smith, Kimothy L -- Schupp, James M -- Solomon, Daniel -- Keim, Paul -- Fraser, Claire M -- R01-LM06845/LM/NLM NIH HHS/ -- New York, N.Y. -- Science. 2002 Jun 14;296(5575):2028-33. Epub 2002 May 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Institute for Genomic Research, 9712 Medical Center Drive, Rockville, MD 20850, USA., Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ 86011, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12004073" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Anthrax/microbiology ; Bacillus anthracis/classification/*genetics/isolation & ; purification/pathogenicity ; Bacterial Typing Techniques ; Base Sequence ; Bioterrorism ; Chromosome Inversion ; Computational Biology ; Disease Outbreaks ; Genetic Markers ; *Genetic Variation ; *Genome, Bacterial ; Genomics ; Humans ; Minisatellite Repeats ; Molecular Sequence Data ; Mutation ; Phenotype ; Phylogeny ; Plasmids ; *Polymorphism, Single Nucleotide ; Recombination, Genetic ; Repetitive Sequences, Nucleic Acid ; *Sequence Analysis, DNA ; Sequence Deletion ; Species Specificity ; Transposases/genetics ; Virulence/genetics
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2004-11-20
    Description: The development of a patterned vasculature is essential for normal organogenesis. We found that signaling by semaphorin 3E (Sema3E) and its receptor plexin-D1 controls endothelial cell positioning and the patterning of the developing vasculature in the mouse. Sema3E is highly expressed in developing somites, where it acts as a repulsive cue for plexin-D1-expressing endothelial cells of adjacent intersomitic vessels. Sema3E-plexin-D1 signaling did not require neuropilins, which were previously presumed to be obligate Sema3 coreceptors. Moreover, genetic ablation of Sema3E or plexin-D1 but not neuropilin-mediated Sema3 signaling disrupted vascular patterning. These findings reveal an unexpected semaphorin signaling pathway and define a mechanism for controlling vascular patterning.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gu, Chenghua -- Yoshida, Yutaka -- Livet, Jean -- Reimert, Dorothy V -- Mann, Fanny -- Merte, Janna -- Henderson, Christopher E -- Jessell, Thomas M -- Kolodkin, Alex L -- Ginty, David D -- CA23767-24/CA/NCI NIH HHS/ -- MH59199-06/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 2005 Jan 14;307(5707):265-8. Epub 2004 Nov 18.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205-2185, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15550623" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Binding Sites ; Blood Vessels/*embryology/metabolism ; Body Patterning ; COS Cells ; Cercopithecus aethiops ; Chick Embryo ; Endothelial Cells/cytology/physiology ; Endothelium, Vascular/cytology/embryology ; Glycoproteins/*metabolism ; In Situ Hybridization ; Ligands ; Membrane Glycoproteins/*metabolism ; Membrane Proteins/*metabolism ; Mice ; Morphogenesis ; Mutation ; Nerve Tissue Proteins/*metabolism ; Neuropilin-1/metabolism ; Neuropilin-2/metabolism ; Phenotype ; Protein Binding ; Recombinant Fusion Proteins/metabolism ; Signal Transduction ; Somites/*metabolism ; Transfection
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2003-06-21
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Garsin, Danielle A -- Villanueva, Jacinto M -- Begun, Jakob -- Kim, Dennis H -- Sifri, Costi D -- Calderwood, Stephen B -- Ruvkun, Gary -- Ausubel, Frederick M -- GM48707/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2003 Jun 20;300(5627):1921.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Massachusetts General Hospital, Boston, MA 02114, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12817143" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Animals ; Caenorhabditis elegans/genetics/immunology/*microbiology/*physiology ; Caenorhabditis elegans Proteins/genetics/physiology ; Enterococcus faecalis/*pathogenicity/physiology ; Escherichia coli/*pathogenicity/physiology ; Forkhead Transcription Factors ; Longevity ; Mutation ; Phenotype ; Phosphatidylinositol 3-Kinases/genetics/physiology ; Receptor, Insulin/genetics/*physiology ; Staphylococcus aureus/*pathogenicity/physiology ; Transcription Factors/genetics/physiology
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 10
    Publication Date: 2015-05-09
    Description: Transcriptional regulation and posttranscriptional processing underlie many cellular and organismal phenotypes. We used RNA sequence data generated by Genotype-Tissue Expression (GTEx) project to investigate the patterns of transcriptome variation across individuals and tissues. Tissues exhibit characteristic transcriptional signatures that show stability in postmortem samples. These signatures are dominated by a relatively small number of genes-which is most clearly seen in blood-though few are exclusive to a particular tissue and vary more across tissues than individuals. Genes exhibiting high interindividual expression variation include disease candidates associated with sex, ethnicity, and age. Primary transcription is the major driver of cellular specificity, with splicing playing mostly a complementary role; except for the brain, which exhibits a more divergent splicing program. Variation in splicing, despite its stochasticity, may play in contrast a comparatively greater role in defining individual phenotypes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4547472/" 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/PMC4547472/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mele, Marta -- Ferreira, Pedro G -- Reverter, Ferran -- DeLuca, David S -- Monlong, Jean -- Sammeth, Michael -- Young, Taylor R -- Goldmann, Jakob M -- Pervouchine, Dmitri D -- Sullivan, Timothy J -- Johnson, Rory -- Segre, Ayellet V -- Djebali, Sarah -- Niarchou, Anastasia -- GTEx Consortium -- Wright, Fred A -- Lappalainen, Tuuli -- Calvo, Miquel -- Getz, Gad -- Dermitzakis, Emmanouil T -- Ardlie, Kristin G -- Guigo, Roderic -- HHSN261200800001E/PHS HHS/ -- HHSN268201000029C/HL/NHLBI NIH HHS/ -- HHSN268201000029C/PHS HHS/ -- R01 DA006227-17/DA/NIDA NIH HHS/ -- R01 MH090936/MH/NIMH NIH HHS/ -- R01 MH090941/MH/NIMH NIH HHS/ -- New York, N.Y. -- Science. 2015 May 8;348(6235):660-5. doi: 10.1126/science.aaa0355.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Harvard Department of stem cell and regenerative biology, Harvard University, Cambridge, MA, USA. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. McGill University, Montreal, Canada. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Radboud University, Nijmegen, Netherlands. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Faculty of Bioengineering and Bioinformatics, Moscow State University, Leninskie Gory 1-73, 119992 Moscow, Russia. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. ; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Harvard Department of stem cell and regenerative biology, Harvard University, Cambridge, MA, USA. Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Broad Institute of MIT and Harvard, Cambridge, MA, USA. McGill University, Montreal, Canada. National Institute for Scientific Computing (LNCC), Petropolis, Rio de Janeiro, Brazil. Radboud University, Nijmegen, Netherlands. Faculty of Bioengineering and Bioinformatics, Moscow State University, Leninskie Gory 1-73, 119992 Moscow, Russia. North Carolina State University, Raleigh, NC, USA. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. Institut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Catalonia, Spain. Joint CRG-Barcelona Super Computing Center (BSC)-Institut de Recerca Biomedica (IRB) Program in Computational Biology, Barcelona, Catalonia, Spain. ; North Carolina State University, Raleigh, NC, USA. ; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. Institute for Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland. Swiss Institute of Bioinformatics, Geneva, Switzerland. New York Genome Center, New York, NY, USA. Department of Systems Biology, Columbia University, New York, NY, USA. ; Facultat de Biologia, Universitat de Barcelona (UB), Barcelona, Catalonia, Spain. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA, USA. kardlie@broadinstitute.org roderic.guigo@crg.cat. ; Center for Genomic Regulation (CRG), Barcelona, Catalonia, Spain. Universitat Pompeu Fabra (UPF), Barcelona, Catalonia, Spain. Institut Hospital del Mar d'Investigacions Mediques (IMIM), Barcelona, Catalonia, Spain. Joint CRG-Barcelona Super Computing Center (BSC)-Institut de Recerca Biomedica (IRB) Program in Computational Biology, Barcelona, Catalonia, Spain. kardlie@broadinstitute.org roderic.guigo@crg.cat.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25954002" target="_blank"〉PubMed〈/a〉
    Keywords: Alternative Splicing ; Female ; Gene Expression Profiling ; *Gene Expression Regulation ; Genome, Human/*genetics ; Humans ; Male ; Organ Specificity/genetics ; Phenotype ; Polymorphism, Single Nucleotide ; Sequence Analysis, RNA ; Sex Factors ; *Transcriptome
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    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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