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  • Articles  (5)
  • Genome, Human  (5)
  • American Association for the Advancement of Science (AAAS)  (5)
  • Institute of Physics
  • 2015-2019  (5)
  • 1965-1969
  • 2016  (5)
  • 1
    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
    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: 2016-03-05
    Description: Examining complete gene knockouts within a viable organism can inform on gene function. We sequenced the exomes of 3222 British adults of Pakistani heritage with high parental relatedness, discovering 1111 rare-variant homozygous genotypes with predicted loss of function (knockouts) in 781 genes. We observed 13.7% fewer homozygous knockout genotypes than we expected, implying an average load of 1.6 recessive-lethal-equivalent loss-of-function (LOF) variants per adult. When genetic data were linked to the individuals' lifelong health records, we observed no significant relationship between gene knockouts and clinical consultation or prescription rate. In this data set, we identified a healthy PRDM9-knockout mother and performed phased genome sequencing on her, her child, and control individuals. Our results show that meiotic recombination sites are localized away from PRDM9-dependent hotspots. Thus, natural LOF variants inform on essential genetic loci and demonstrate PRDM9 redundancy in humans.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Narasimhan, Vagheesh M -- Hunt, Karen A -- Mason, Dan -- Baker, Christopher L -- Karczewski, Konrad J -- Barnes, Michael R -- Barnett, Anthony H -- Bates, Chris -- Bellary, Srikanth -- Bockett, Nicholas A -- Giorda, Kristina -- Griffiths, Christopher J -- Hemingway, Harry -- Jia, Zhilong -- Kelly, M Ann -- Khawaja, Hajrah A -- Lek, Monkol -- McCarthy, Shane -- McEachan, Rosie -- O'Donnell-Luria, Anne -- Paigen, Kenneth -- Parisinos, Constantinos A -- Sheridan, Eamonn -- Southgate, Laura -- Tee, Louise -- Thomas, Mark -- Xue, Yali -- Schnall-Levin, Michael -- Petkov, Petko M -- Tyler-Smith, Chris -- Maher, Eamonn R -- Trembath, Richard C -- MacArthur, Daniel G -- Wright, John -- Durbin, Richard -- van Heel, David A -- GM 099640/GM/NIGMS NIH HHS/ -- MR/M009017/1/Medical Research Council/United Kingdom -- R01 GM104371/GM/NIGMS NIH HHS/ -- R01GM104371/GM/NIGMS NIH HHS/ -- WT098051/Wellcome Trust/United Kingdom -- WT099769/Wellcome Trust/United Kingdom -- WT101597/Wellcome Trust/United Kingdom -- WT102627/Wellcome Trust/United Kingdom -- British Heart Foundation/United Kingdom -- Arthritis Research UK/United Kingdom -- Cancer Research UK/United Kingdom -- Department of Health/United Kingdom -- Chief Scientist Office/United Kingdom -- New York, N.Y. -- Science. 2016 Apr 22;352(6284):474-7. doi: 10.1126/science.aac8624. Epub 2016 Mar 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK. ; Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK. ; Bradford Institute for Health Research, Bradford Teaching Hospitals National Health Service (NHS) Foundation Trust, Bradford BD9 6RJ, UK. ; Center for Genome Dynamics, The Jackson Laboratory, Bar Harbor, ME 04609, USA. ; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA. Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. ; William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK. ; Diabetes and Endocrine Centre, Heart of England NHS Foundation Trust and University of Birmingham, Birmingham B9 5SS, UK. ; TPP, Mill House, Troy Road, Leeds LS18 5TN, UK. ; Aston Research Centre for Healthy Ageing, Aston University, Birmingham B4 7ET, UK. ; 10X Genomics, 7068 Koll Center Parkway, Suite 415, Pleasanton, CA 94566, USA. ; Farr Institute of Health Informatics Research, London NW1 2DA, UK. Institute of Health Informatics, University College London, London NW1 2DA, UK. ; School of Clinical and Experimental Medicine, University of Birmingham, Birmingham B15 2TT, UK. ; Department of Medical Genetics, University of Cambridge and National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre, Box 238, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. ; Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK. Faculty of Life Sciences and Medicine, King's College London, London SE1 1UL, UK. ; Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK. rd@sanger.ac.uk d.vanheel@qmul.ac.uk. ; Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK. rd@sanger.ac.uk d.vanheel@qmul.ac.uk.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26940866" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; *Consanguinity ; DNA Mutational Analysis ; Drug Prescriptions ; Exome/genetics ; Female ; Fertility ; Gene Knockout Techniques ; Genes, Lethal ; Genetic Loci ; Genome, Human ; Great Britain ; *Health ; Histone-Lysine N-Methyltransferase/*genetics ; Homologous Recombination ; Homozygote ; Humans ; Male ; Mothers ; Pakistan/ethnology ; Phenotype
    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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  • 3
    Publication Date: 2016-03-26
    Description: 〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4838154/" 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/PMC4838154/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dove, Edward S -- Townend, David -- Meslin, Eric M -- Bobrow, Martin -- Littler, Katherine -- Nicol, Dianne -- de Vries, Jantina -- Junker, Anne -- Garattini, Chiara -- Bovenberg, Jasper -- Shabani, Mahsa -- Levesque, Emmanuelle -- Knoppers, Bartha M -- 099313/Wellcome Trust/United Kingdom -- 103360/Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2016 Mar 25;351(6280):1399-400. doi: 10.1126/science.aad5269.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉J. Kenyon Mason Institute for Medicine, Life Sciences and the Law, School of Law, University of Edinburgh, UK. edward.dove@ed.ac.uk. ; Department of Health, Ethics & Society, CAPHRI Research School, Maastricht University, The Netherlands. ; Indiana University Center for Bioethics, Indiana University School of Medicine, Indianapolis, Indiana, USA. ; Honorary Faculty, Wellcome Trust Sanger Institute, Hinxton, UK. Department of Medical Genetics, University of Cambridge, UK. ; Wellcome Trust, London, UK. ; Centre for Law and Genetics, Faculty of Law, University of Tasmania, Australia. ; Department of Medicine, Faculty of Health Sciences, University of Cape Town, South Africa. ; Department of Pediatrics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada. ; Intel Corporation, Health and Life Sciences, London, UK. ; Legal Pathways, Aerdenhout, The Netherlands. ; Centre for Biomedical Ethics and Law, KU Leuven, Leuven, Belgium. ; Centre of Genomics and Policy, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27013718" target="_blank"〉PubMed〈/a〉
    Keywords: Biomedical Research/*ethics ; Datasets as Topic/ethics ; Ethical Review/*standards ; Genetics, Medical ; Genome, Human ; Humans ; Information Dissemination/*ethics ; Internationality ; Neoplasms
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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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  • 4
    Publication Date: 2016-04-02
    Description: Accurate sequence and assembly of genomes is a critical first step for studies of genetic variation. We generated a high-quality assembly of the gorilla genome using single-molecule, real-time sequence technology and a string graph de novo assembly algorithm. The new assembly improves contiguity by two to three orders of magnitude with respect to previously released assemblies, recovering 87% of missing reference exons and incomplete gene models. Although regions of large, high-identity segmental duplications remain largely unresolved, this comprehensive assembly provides new biological insight into genetic diversity, structural variation, gene loss, and representation of repeat structures within the gorilla genome. The approach provides a path forward for the routine assembly of mammalian genomes at a level approaching that of the current quality of the human genome.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gordon, David -- Huddleston, John -- Chaisson, Mark J P -- Hill, Christopher M -- Kronenberg, Zev N -- Munson, Katherine M -- Malig, Maika -- Raja, Archana -- Fiddes, Ian -- Hillier, LaDeana W -- Dunn, Christopher -- Baker, Carl -- Armstrong, Joel -- Diekhans, Mark -- Paten, Benedict -- Shendure, Jay -- Wilson, Richard K -- Haussler, David -- Chin, Chen-Shan -- Eichler, Evan E -- HG002385/HG/NHGRI NIH HHS/ -- HG003079/HG/NHGRI NIH HHS/ -- HG007234/HG/NHGRI NIH HHS/ -- HG007635/HG/NHGRI NIH HHS/ -- HG007990/HG/NHGRI NIH HHS/ -- R01 HG002385/HG/NHGRI NIH HHS/ -- U41 HG007635/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2016 Apr 1;352(6281):aae0344. doi: 10.1126/science.aae0344.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA. Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA. ; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA. ; Genomics Institute, University of California Santa Cruz and Howard Hughes Medical Institute, Santa Cruz, CA 95064, USA. ; McDonnell Genome Institute, Department of Medicine, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA. ; Pacific Biosciences of California, Menlo Park, CA 94025, USA. ; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA. Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA. eee@gs.washington.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27034376" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Contig Mapping ; Evolution, Molecular ; Expressed Sequence Tags ; Female ; Genetic Variation ; Genome, Human ; Genomics ; Gorilla gorilla/*genetics ; Humans ; Sequence Alignment ; Sequence Analysis, DNA/*methods
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2016-03-26
    Description: Sequencing of exomes and genomes has revealed abundant genetic variation affecting the coding sequences of human transcription factors (TFs), but the consequences of such variation remain largely unexplored. We developed a computational, structure-based approach to evaluate TF variants for their impact on DNA binding activity and used universal protein-binding microarrays to assay sequence-specific DNA binding activity across 41 reference and 117 variant alleles found in individuals of diverse ancestries and families with Mendelian diseases. We found 77 variants in 28 genes that affect DNA binding affinity or specificity and identified thousands of rare alleles likely to alter the DNA binding activity of human sequence-specific TFs. Our results suggest that most individuals have unique repertoires of TF DNA binding activities, which may contribute to phenotypic variation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825693/" 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/PMC4825693/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barrera, Luis A -- Vedenko, Anastasia -- Kurland, Jesse V -- Rogers, Julia M -- Gisselbrecht, Stephen S -- Rossin, Elizabeth J -- Woodard, Jaie -- Mariani, Luca -- Kock, Kian Hong -- Inukai, Sachi -- Siggers, Trevor -- Shokri, Leila -- Gordan, Raluca -- Sahni, Nidhi -- Cotsapas, Chris -- Hao, Tong -- Yi, Song -- Kellis, Manolis -- Daly, Mark J -- Vidal, Marc -- Hill, David E -- Bulyk, Martha L -- P50 HG004233/HG/NHGRI NIH HHS/ -- R01 HG003985/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2016 Mar 25;351(6280):1450-4. doi: 10.1126/science.aad2257. Epub 2016 Mar 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. ; Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA. ; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. ; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. Center for Human Genetics Research and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA. Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27013732" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Binding Sites ; Computer Simulation ; DNA/*metabolism ; DNA-Binding Proteins/*genetics/metabolism ; Exome/genetics ; *Gene Expression Regulation ; Genetic Diseases, Inborn/*genetics ; Genetic Variation ; Genome, Human ; Humans ; Mutation ; Polymorphism, Single Nucleotide ; Protein Array Analysis ; Protein Binding ; Sequence Analysis, DNA ; 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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