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  • 1
    Publication Date: 2011-10-14
    Description: The comparison of related genomes has emerged as a powerful lens for genome interpretation. Here we report the sequencing and comparative analysis of 29 eutherian genomes. We confirm that at least 5.5% of the human genome has undergone purifying selection, and locate constrained elements covering approximately 4.2% of the genome. We use evolutionary signatures and comparisons with experimental data sets to suggest candidate functions for approximately 60% of constrained bases. These elements reveal a small number of new coding exons, candidate stop codon readthrough events and over 10,000 regions of overlapping synonymous constraint within protein-coding exons. We find 220 candidate RNA structural families, and nearly a million elements overlapping potential promoter, enhancer and insulator regions. We report specific amino acid residues that have undergone positive selection, 280,000 non-coding elements exapted from mobile elements and more than 1,000 primate- and human-accelerated elements. Overlap with disease-associated variants indicates that our findings will be relevant for studies of human biology, health and disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3207357/" 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/PMC3207357/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lindblad-Toh, Kerstin -- Garber, Manuel -- Zuk, Or -- Lin, Michael F -- Parker, Brian J -- Washietl, Stefan -- Kheradpour, Pouya -- Ernst, Jason -- Jordan, Gregory -- Mauceli, Evan -- Ward, Lucas D -- Lowe, Craig B -- Holloway, Alisha K -- Clamp, Michele -- Gnerre, Sante -- Alfoldi, Jessica -- Beal, Kathryn -- Chang, Jean -- Clawson, Hiram -- Cuff, James -- Di Palma, Federica -- Fitzgerald, Stephen -- Flicek, Paul -- Guttman, Mitchell -- Hubisz, Melissa J -- Jaffe, David B -- Jungreis, Irwin -- Kent, W James -- Kostka, Dennis -- Lara, Marcia -- Martins, Andre L -- Massingham, Tim -- Moltke, Ida -- Raney, Brian J -- Rasmussen, Matthew D -- Robinson, Jim -- Stark, Alexander -- Vilella, Albert J -- Wen, Jiayu -- Xie, Xiaohui -- Zody, Michael C -- Broad Institute Sequencing Platform and Whole Genome Assembly Team -- Baldwin, Jen -- Bloom, Toby -- Chin, Chee Whye -- Heiman, Dave -- Nicol, Robert -- Nusbaum, Chad -- Young, Sarah -- Wilkinson, Jane -- Worley, Kim C -- Kovar, Christie L -- Muzny, Donna M -- Gibbs, Richard A -- Baylor College of Medicine Human Genome Sequencing Center Sequencing Team -- Cree, Andrew -- Dihn, Huyen H -- Fowler, Gerald -- Jhangiani, Shalili -- Joshi, Vandita -- Lee, Sandra -- Lewis, Lora R -- Nazareth, Lynne V -- Okwuonu, Geoffrey -- Santibanez, Jireh -- Warren, Wesley C -- Mardis, Elaine R -- Weinstock, George M -- Wilson, Richard K -- Genome Institute at Washington University -- Delehaunty, Kim -- Dooling, David -- Fronik, Catrina -- Fulton, Lucinda -- Fulton, Bob -- Graves, Tina -- Minx, Patrick -- Sodergren, Erica -- Birney, Ewan -- Margulies, Elliott H -- Herrero, Javier -- Green, Eric D -- Haussler, David -- Siepel, Adam -- Goldman, Nick -- Pollard, Katherine S -- Pedersen, Jakob S -- Lander, Eric S -- Kellis, Manolis -- 095908/Wellcome Trust/United Kingdom -- GM82901/GM/NIGMS NIH HHS/ -- R01 HG003474/HG/NHGRI NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003067-09/HG/NHGRI NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 Oct 12;478(7370):476-82. doi: 10.1038/nature10530.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of Harvard and Massachusetts Institute of Technology, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA. kersli@broadinstitute.org〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21993624" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Disease ; *Evolution, Molecular ; Exons/genetics ; Genome/*genetics ; Genome, Human/*genetics ; Genomics ; Health ; Humans ; Mammals/*genetics ; Molecular Sequence Annotation ; Phylogeny ; RNA/classification/genetics ; Selection, Genetic/genetics ; Sequence Alignment ; Sequence Analysis, DNA
    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: 2011-03-29
    Description: Chromatin profiling has emerged as a powerful means of genome annotation and detection of regulatory activity. The approach is especially well suited to the characterization of non-coding portions of the genome, which critically contribute to cellular phenotypes yet remain largely uncharted. Here we map nine chromatin marks across nine cell types to systematically characterize regulatory elements, their cell-type specificities and their functional interactions. Focusing on cell-type-specific patterns of promoters and enhancers, we define multicell activity profiles for chromatin state, gene expression, regulatory motif enrichment and regulator expression. We use correlations between these profiles to link enhancers to putative target genes, and predict the cell-type-specific activators and repressors that modulate them. The resulting annotations and regulatory predictions have implications for the interpretation of genome-wide association studies. Top-scoring disease single nucleotide polymorphisms are frequently positioned within enhancer elements specifically active in relevant cell types, and in some cases affect a motif instance for a predicted regulator, thus suggesting a mechanism for the association. Our study presents a general framework for deciphering cis-regulatory connections and their roles in disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3088773/" 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/PMC3088773/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ernst, Jason -- Kheradpour, Pouya -- Mikkelsen, Tarjei S -- Shoresh, Noam -- Ward, Lucas D -- Epstein, Charles B -- Zhang, Xiaolan -- Wang, Li -- Issner, Robbyn -- Coyne, Michael -- Ku, Manching -- Durham, Timothy -- Kellis, Manolis -- Bernstein, Bradley E -- R01 HG004037/HG/NHGRI NIH HHS/ -- R01HG004037/HG/NHGRI NIH HHS/ -- RC1HG005334/HG/NHGRI NIH HHS/ -- U54 HG004570/HG/NHGRI NIH HHS/ -- U54 HG004570-01/HG/NHGRI NIH HHS/ -- U54 HG004570-02/HG/NHGRI NIH HHS/ -- U54 HG004570-02S1/HG/NHGRI NIH HHS/ -- U54 HG004570-03/HG/NHGRI NIH HHS/ -- U54 HG004570-03S1/HG/NHGRI NIH HHS/ -- U54 HG004570-04/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2011 May 5;473(7345):43-9. doi: 10.1038/nature09906. Epub 2011 Mar 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21441907" target="_blank"〉PubMed〈/a〉
    Keywords: Binding Sites ; Cell Line ; Cell Line, Tumor ; *Cell Physiological Phenomena ; Cells, Cultured ; Chromatin/*genetics/*metabolism ; *Chromosome Mapping ; Gene Expression Regulation ; Genome, Human/genetics ; Hep G2 Cells ; Humans ; Promoter Regions, Genetic/genetics ; Reproducibility of Results ; Transcription Factors/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: 2014-03-08
    Description: Little is known about how human genetic variation affects the responses to environmental stimuli in the context of complex diseases. Experimental and computational approaches were applied to determine the effects of genetic variation on the induction of pathogen-responsive genes in human dendritic cells. We identified 121 common genetic variants associated in cis with variation in expression responses to Escherichia coli lipopolysaccharide, influenza, or interferon-beta (IFN-beta). We localized and validated causal variants to binding sites of pathogen-activated STAT (signal transducer and activator of transcription) and IRF (IFN-regulatory factor) transcription factors. We also identified a common variant in IRF7 that is associated in trans with type I IFN induction in response to influenza infection. Our results reveal common alleles that explain interindividual variation in pathogen sensing and provide functional annotation for genetic variants that alter susceptibility to inflammatory diseases.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124741/" 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/PMC4124741/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lee, Mark N -- Ye, Chun -- Villani, Alexandra-Chloe -- Raj, Towfique -- Li, Weibo -- Eisenhaure, Thomas M -- Imboywa, Selina H -- Chipendo, Portia I -- Ran, F Ann -- Slowikowski, Kamil -- Ward, Lucas D -- Raddassi, Khadir -- McCabe, Cristin -- Lee, Michelle H -- Frohlich, Irene Y -- Hafler, David A -- Kellis, Manolis -- Raychaudhuri, Soumya -- Zhang, Feng -- Stranger, Barbara E -- Benoist, Christophe O -- De Jager, Philip L -- Regev, Aviv -- Hacohen, Nir -- DP1 CA174427/CA/NCI NIH HHS/ -- DP1 MH100706/DP/NCCDPHP CDC HHS/ -- DP1 MH100706/MH/NIMH NIH HHS/ -- DP2 OD002230/OD/NIH HHS/ -- F32 AG043267/AG/NIA NIH HHS/ -- P30 DK043351/DK/NIDDK NIH HHS/ -- P50 HG006193/HG/NHGRI NIH HHS/ -- R01 AI091568/AI/NIAID NIH HHS/ -- R01 AR063759/AR/NIAMS NIH HHS/ -- R01 DK097768/DK/NIDDK NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- RC2 GM093080/GM/NIGMS NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- T32 HG002295/HG/NHGRI NIH HHS/ -- U19 AI082630/AI/NIAID NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2014 Mar 7;343(6175):1246980. doi: 10.1126/science.1246980.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24604203" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; Autoimmune Diseases/genetics ; Communicable Diseases/genetics ; Dendritic Cells/drug effects/*immunology ; Escherichia coli ; Female ; *Gene-Environment Interaction ; Genetic Loci ; Genome-Wide Association Study ; HEK293 Cells ; Host-Pathogen Interactions/*genetics ; Humans ; Influenza A virus ; Interferon Regulatory Factor-7/*genetics ; Interferon-beta/pharmacology ; Lipopolysaccharides/immunology ; Male ; Middle Aged ; Polymorphism, Single Nucleotide ; Quantitative Trait Loci ; STAT Transcription Factors/*genetics ; Transcriptome ; Young Adult
    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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  • 4
    Publication Date: 2012-09-08
    Description: Although only 5% of the human genome is conserved across mammals, a substantially larger portion is biochemically active, raising the question of whether the additional elements evolve neutrally or confer a lineage-specific fitness advantage. To address this question, we integrate human variation information from the 1000 Genomes Project and activity data from the ENCODE Project. A broad range of transcribed and regulatory nonconserved elements show decreased human diversity, suggesting lineage-specific purifying selection. Conversely, conserved elements lacking activity show increased human diversity, suggesting that some recently became nonfunctional. Regulatory elements under human constraint in nonconserved regions were found near color vision and nerve-growth genes, consistent with purifying selection for recently evolved functions. Our results suggest continued turnover in regulatory regions, with at least an additional 4% of the human genome subject to lineage-specific constraint.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4104271/" 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/PMC4104271/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ward, Lucas D -- Kellis, Manolis -- R01 HG004037/HG/NHGRI NIH HHS/ -- R01HG004037/HG/NHGRI NIH HHS/ -- RC1 HG005334/HG/NHGRI NIH HHS/ -- RC1HG005334/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2012 Sep 28;337(6102):1675-8. Epub 2012 Sep 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22956687" target="_blank"〉PubMed〈/a〉
    Keywords: Conserved Sequence ; Disease/genetics ; *Gene Expression Regulation ; *Genetic Variation ; Genome, Human/*genetics ; Humans ; Polymorphism, Single Nucleotide ; Regulatory Sequences, Nucleic Acid/*genetics ; *Selection, Genetic ; Transcription, 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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  • 5
    Publication Date: 2013-09-26
    Description: Green and Ewing propose corrections to our methodology, which we incorporate and extend here. The improved methodology supports our initial conclusion of extensive lineage-specific constraint concentrated in ENCODE elements. We clarify that our estimate is dependent on the constrained and neutral references used, which can further increase the number of nucleotides involved, because a particularly stringent definition was initially used.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4131756/" 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/PMC4131756/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ward, Lucas D -- Kellis, Manolis -- R01 HG004037/HG/NHGRI NIH HHS/ -- RC1 HG005334/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2013 May 10;340(6133):682. doi: 10.1126/science.1233366.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23661743" target="_blank"〉PubMed〈/a〉
    Keywords: *Gene Expression Regulation ; *Genetic Variation ; Genome, Human/*genetics ; Humans ; Regulatory Sequences, Nucleic Acid/*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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