ALBERT

Description: Despite the large evolutionary distances between metazoan species, they can show remarkable commonalities in their biology, and this has helped to establish fly and worm as model organisms for human biology. Although studies of individual elements and factors have explored similarities in gene regulation, a large-scale comparative analysis of basic principles of transcriptional regulatory features is lacking. Here we map the genome-wide binding locations of 165 human, 93 worm and 52 fly transcription regulatory factors, generating a total of 1,019 data sets from diverse cell types, developmental stages, or conditions in the three species, of which 498 (48.9%) are presented here for the first time. We find that structural properties of regulatory networks are remarkably conserved and that orthologous regulatory factor families recognize similar binding motifs in vivo and show some similar co-associations. Our results suggest that gene-regulatory properties previously observed for individual factors are general principles of metazoan regulation that are remarkably well-preserved despite extensive functional divergence of individual network connections. The comparative maps of regulatory circuitry provided here will drive an improved understanding of the regulatory underpinnings of model organism biology and how these relate to human biology, development and disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4336544/" 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/PMC4336544/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Boyle, Alan P -- Araya, Carlos L -- Brdlik, Cathleen -- Cayting, Philip -- Cheng, Chao -- Cheng, Yong -- Gardner, Kathryn -- Hillier, LaDeana W -- Janette, Judith -- Jiang, Lixia -- Kasper, Dionna -- Kawli, Trupti -- Kheradpour, Pouya -- Kundaje, Anshul -- Li, Jingyi Jessica -- Ma, Lijia -- Niu, Wei -- Rehm, E Jay -- Rozowsky, Joel -- Slattery, Matthew -- Spokony, Rebecca -- Terrell, Robert -- Vafeados, Dionne -- Wang, Daifeng -- Weisdepp, Peter -- Wu, Yi-Chieh -- Xie, Dan -- Yan, Koon-Kiu -- Feingold, Elise A -- Good, Peter J -- Pazin, Michael J -- Huang, Haiyan -- Bickel, Peter J -- Brenner, Steven E -- Reinke, Valerie -- Waterston, Robert H -- Gerstein, Mark -- White, Kevin P -- Kellis, Manolis -- Snyder, Michael -- F32GM101778/GM/NIGMS NIH HHS/ -- P50GM081892/GM/NIGMS NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- RC2HG005679/HG/NHGRI NIH HHS/ -- U01 HG004267/HG/NHGRI NIH HHS/ -- U01HG004264/HG/NHGRI NIH HHS/ -- U01HG004267/HG/NHGRI NIH HHS/ -- U54 HG004558/HG/NHGRI NIH HHS/ -- U54 HG006996/HG/NHGRI NIH HHS/ -- U54HG004558/HG/NHGRI NIH HHS/ -- U54HG006996/HG/NHGRI NIH HHS/ -- UL1 TR000430/TR/NCATS NIH HHS/ -- England -- Nature. 2014 Aug 28;512(7515):453-6. doi: 10.1038/nature13668.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA [2]. ; Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA. ; Program of Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA. ; Department of Genetics, Yale University School of Medicine, New Haven, Connecticut 06520, USA. ; Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. ; 1] Department of Computer Science, Stanford University, Stanford, California 94305, USA [2] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. ; 1] Department of Statistics, University of California, Berkeley, California 94720, USA [2] Department of Statistics, University of California, Los Angeles, California 90095, USA. ; Institute for Genomics and Systems Biology, University of Chicago, Chicago, Ilinois 60637, USA. ; National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, 20892, USA. ; Department of Statistics, University of California, Berkeley, California 94720, USA. ; 1] Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA [2] Department of Plant and Microbial Biology, University of California, Berkeley, California 94720, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25164757" target="_blank"〉PubMed〈/a〉

Description: The discovery of rare genetic variants is accelerating, and clear guidelines for distinguishing disease-causing sequence variants from the many potentially functional variants present in any human genome are urgently needed. Without rigorous standards we risk an acceleration of false-positive reports of causality, which would impede the translation of genomic research findings into the clinical diagnostic setting and hinder biological understanding of disease. Here we discuss the key challenges of assessing sequence variants in human disease, integrating both gene-level and variant-level support for causality. We propose guidelines for summarizing confidence in variant pathogenicity and highlight several areas that require further resource development.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4180223/" 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/PMC4180223/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉MacArthur, D G -- Manolio, T A -- Dimmock, D P -- Rehm, H L -- Shendure, J -- Abecasis, G R -- Adams, D R -- Altman, R B -- Antonarakis, S E -- Ashley, E A -- Barrett, J C -- Biesecker, L G -- Conrad, D F -- Cooper, G M -- Cox, N J -- Daly, M J -- Gerstein, M B -- Goldstein, D B -- Hirschhorn, J N -- Leal, S M -- Pennacchio, L A -- Stamatoyannopoulos, J A -- Sunyaev, S R -- Valle, D -- Voight, B F -- Winckler, W -- Gunter, C -- P30 DK020595/DK/NIDDK NIH HHS/ -- P30 DK042086/DK/NIDDK NIH HHS/ -- R01 HG007022/HG/NHGRI NIH HHS/ -- R01 HL117626/HL/NHLBI NIH HHS/ -- R01 MH101810/MH/NIMH NIH HHS/ -- U54 HG006997/HG/NHGRI NIH HHS/ -- England -- Nature. 2014 Apr 24;508(7497):469-76. doi: 10.1038/nature13127.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA [2] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA. ; Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, Maryland 20892, USA. ; Division of Genetics, Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA. ; 1] Laboratory for Molecular Medicine, Partners Healthcare Center for Personalized Genetic Medicine, Cambridge, Massachusetts 02139, USA [2] Department of Pathology, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Department of Genome Sciences, University of Washington, Seattle, Washington 98115, USA. ; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA. ; 1] NIH Undiagnosed Diseases Program, National Institutes of Health Office of Rare Diseases Research and National Human Genome Research Institute, Bethesda, Maryland 20892, USA [2] Office of the Clinical Director, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Departments of Bioengineering & Genetics, Stanford University, Stanford, California 94305, USA. ; 1] Department of Genetic Medicine, University of Geneva Medical School, 1211 Geneva, Switzerland [2] iGE3 Institute of Genetics and Genomics of Geneva, 1211 Geneva, Switzerland. ; Center for Inherited Cardiovascular Disease, Stanford University School of Medicine, Stanford, California 94305, USA. ; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1HH, UK. ; Genetic Disease Research Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892, USA. ; Departments of Genetics, Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri 63110, USA. ; HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, Alabama 35806, USA. ; Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA. ; 1] Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA [2] Departments of Computer Science, Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut 06520, USA. ; Center for Human Genome Variation, Duke University School of Medicine, Durham, North Carolina 27708, USA. ; 1] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA [2] Divisions of Genetics and Endocrinology, Children's Hospital, Boston, Massachusetts 02115, USA. ; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 77030, USA. ; 1] Genomics Division, MS 84-171, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA [2] US Department of Energy Joint Genome Institute, Walnut Creek, California 94598, USA. ; Department of Genome Sciences, University of Washington, 1705 Northeast Pacific Street, Seattle, Washington 98195, USA. ; 1] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA [2] Harvard Medical School, Boston, Massachusetts 02115, USA. ; McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA. ; Department of Pharmacology and Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, USA. ; 1] Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts 02142, USA [2] Next Generation Diagnostics, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, USA (W.W.); Marcus Autism Center, Children's Healthcare of Atlanta, Atlanta, Georgia 30329, USA (C.G.). ; 1] HudsonAlpha Institute for Biotechnology, 601 Genome Way, Huntsville, Alabama 35806, USA [2] Next Generation Diagnostics, Novartis Institutes for BioMedical Research, Cambridge, Massachusetts, USA (W.W.); Marcus Autism Center, Children's Healthcare of Atlanta, Atlanta, Georgia 30329, USA (C.G.).〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24759409" target="_blank"〉PubMed〈/a〉