52 results on '"Ralf Sudbrak"'
Search Results
2. IT Future of Medicine (ITFoM).
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Ralf Sudbrak and Hans Lehrach
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- 2013
3. Human Lineage-Specific Transcriptional Regulation through GA-Binding Protein Transcription Factor Alpha (GABPa)
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Alvaro Perdomo-Sabogal, Katja Nowick, Hans-Jörg Warnatz, Ralf Sudbrak, Marie-Laure Yaspo, Ilaria Piccini, Robert Querfurth, and Hans Lehrach
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0301 basic medicine ,Chromatin Immunoprecipitation ,GABP ,KRAB zinc finger genes ,Genetic Speciation ,Biology ,Evolution, Molecular ,ChIP-Seq ,03 medical and health sciences ,human molecular evolution ,Sp3 transcription factor ,Chlorocebus aethiops ,Genetics ,Animals ,Humans ,Promoter Regions, Genetic ,Molecular Biology ,Transcription factor ,Gene ,Discoveries ,Ecology, Evolution, Behavior and Systematics ,Zinc finger ,Regulation of gene expression ,Binding Sites ,comparative genomics ,Chromosome Mapping ,Zinc Fingers ,Promoter ,Biological Evolution ,GA-Binding Protein Transcription Factor ,promoter assay ,HEK293 Cells ,030104 developmental biology ,Gene Expression Regulation ,COS Cells ,human-specific binding sites ,Sequence Alignment ,Chromatin immunoprecipitation ,Protein Binding - Abstract
A substantial fraction of phenotypic differences between closely related species are likely caused by differences in gene regulation. While this has already been postulated over 30 years ago, only few examples of evolutionary changes in gene regulation have been verified. Here, we identified and investigated binding sites of the transcription factor GA-binding protein alpha (GABPa) aiming to discover cis-regulatory adaptations on the human lineage. By performing chromatin immunoprecipitation-sequencing experiments in a human cell line, we found 11,619 putative GABPa binding sites. Through sequence comparisons of the human GABPa binding regions with orthologous sequences from 34 mammals, we identified substitutions that have resulted in 224 putative human-specific GABPa binding sites. To experimentally assess the transcriptional impact of those substitutions, we selected four promoters for promoter-reporter gene assays using human and African green monkey cells. We compared the activities of wild-type promoters to mutated forms, where we have introduced one or more substitutions to mimic the ancestral state devoid of the GABPa consensus binding sequence. Similarly, we introduced the human-specific substitutions into chimpanzee and macaque promoter backgrounds. Our results demonstrate that the identified substitutions are functional, both in human and nonhuman promoters. In addition, we performed GABPa knock-down experiments and found 1,215 genes as strong candidates for primary targets. Further analyses of our data sets link GABPa to cognitive disorders, diabetes, KRAB zinc finger (KRAB-ZNF), and human-specific genes. Thus, we propose that differences in GABPa binding sites played important roles in the evolution of human-specific phenotypes.
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- 2016
- Full Text
- View/download PDF
4. An index of barriers for the implementation of personalised medicine and pharmacogenomics in Europe
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Ralf Sudbrak, Wolfgang Ballensiefen, Erica Hackenitz, Angela Brand, Ulrike Bußhoff, Marleen Jansen, Denis Horgan, Lada Leyens, Jonathan A. Lal, RS: GROW - Developmental Biology, RS: GROW - R4 - Reproductive and Perinatal Medicine, Institute for Public Health Genomics, Promovendi ODB, and Human genetics
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Genetic Markers ,Knowledge management ,Process (engineering) ,Interoperability ,Public policy ,Public Policy ,Informed consent ,Medicine ,Humans ,Precision Medicine ,Policy Making ,Genetics (clinical) ,Data collection ,business.industry ,Data Collection ,Public Health, Environmental and Occupational Health ,Stakeholder ,Precision medicine ,Europe ,Systematic review ,Pharmacogenetics ,Public Health Practice ,Female ,business ,Attitude to Health ,Delivery of Health Care - Abstract
Background: Personalised medicine (PM) is an innovative way to produce better patient outcomes by using an individualised or stratified approach to disease and treatment rather than a collective treatment approach for patients. Despite its tangible advantages, the complex process to translate PM into the member states and European healthcare systems has delayed its uptake. The aim of this study is to identify relevant barriers represented by an index to summarise challenging areas for the implementation of PM in Europe. Methods: A systematic literature review was conducted, and a gaps-and-needs assessment together with a strengths-weaknesses-opportunities-and-threats analysis were applied to review strategic reports and conduct interviews with key stakeholders. Furthermore, surveys were sent out to representatives of stakeholder groups. The index was constructed based on the priorisation of relevant factors by stakeholders. Results: A need for stakeholder-agreed standards at all levels of implementation of PM exists, from validating biomarkers to definitions of ‘informed consent'. The barriers to implement PM are identified in 7 areas, namely, stakeholder involvement, standardisation, interoperable infrastructure, European-level policy making, funding, data and research, and healthcare systems. Conclusions: Challenges in the above-mentioned areas can and must be successfully tackled if we are to create a healthier Europe through PM. In order to create an environment in which PM can thrive for the patients' best outcomes, there is an urgent need for systematic actions to remove as many barriers as possible.
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- 2014
- Full Text
- View/download PDF
5. Contents Vol. 17, 2014
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Surakameth Mahasirimongkol, Ron H.N. van Schaik, George P. Patrinos, Wolfgang Ballensiefen, Erica Hackenitz, Nicholas Inverso, Kimberly Fairley, Wasun Chantratita, Takis Vidalis, Alessio Squassina, Druckerei Stückle, Denis Horgan, Evangelia-Eirini Tsermpini, Angeliki Komianou, Marc S. Williams, Usa Chaikledkaew, Giannis Tzimas, James M Pitcavage, Eirini Mavroidi, Cristiana Pavlidis, Yuan Mai, Robert E. Smith, Konstantinos Poulas, Theodora Katsila, Ming Ta Michael Lee, Susan R. Snyder, Marleen Jansen, Elisavet Daki, Lada Leyens, Eleni Dalabira, Christina Mitropoulou, Athanassios Vozikis, Claudia Pisanu, Daniel D. Maeng, Jonathan A. Lal, Ralf Sudbrak, Wimon Suwankesawong, Ulrike Bußhoff, Satz Mengensatzproduktion, Jonathan A. Bock, Effy Vayena, Angela Brand, Marina Bartsakoulia, Yanfei Zhang, Emmanouil Viennas, and Sotiria Kechagia
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Public Health, Environmental and Occupational Health ,Genetics (clinical) - Published
- 2014
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6. Janus--a comprehensive tool investigating the two faces of transcription
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Daniela Esser, Jan W. P. Kuiper, Matthias Barann, Tuuli Lappalainen, Anne Luzius, Philip Rosenstiel, Inga Vater, Ulrich C. Klostermeier, Vyacheslav Amstislavskiy, Ralf Sudbrak, Reiner Siebert, Stefan Schreiber, Ole Ammerpohl, and Hans Lehrach
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Statistics and Probability ,Computational biology ,Biology ,Biochemistry ,Genome ,World Wide Web ,03 medical and health sciences ,0302 clinical medicine ,Software ,Transcription (biology) ,Humans ,RNA, Antisense ,Janus ,Molecular Biology ,030304 developmental biology ,Cell Line, Transformed ,Supplementary data ,0303 health sciences ,business.industry ,Gene Expression Profiling ,Genetic Variation ,High-Throughput Nucleotide Sequencing ,DNA Methylation ,Computer Science Applications ,Gene expression profiling ,Computational Mathematics ,Antisense Orientation ,Computational Theory and Mathematics ,030220 oncology & carcinogenesis ,DNA methylation ,business - Abstract
Motivation: Protocols to generate strand-specific transcriptomes with next-generation sequencing platforms have been used by the scientific community roughly since 2008. Strand-specific reads allow for detection of antisense events and a higher resolution of expression profiles enabling extension of current transcript annotations. However, applications making use of this strandedness information are still scarce. Results: Here we present a tool (Janus), which focuses on the identification of transcriptional active regions in antisense orientation to known and novel transcribed elements of the genome. Janus can compare the antisense events of multiple samples and assigns scores to identify mutual expression of either transcript in a sense/ antisense pair, which could hint to regulatory mechanisms. Janus is able to make use of single-nucleotide variant (SNV) and methylation data, if available, and reports the sense to antisense ratio of regions in the vicinity of the identified genetic and epigenetic variation. Janus interrogates positions of heterozygous SNVs to identify strand-specific allelic imbalance. Availability: Janus is written in C/Cþþ and freely available at http:// www.ikmb.uni-kiel.de/janus/janus.html under terms of GNU General Public License, for both, Linux and Windows 64� . Although the binaries will work without additional downloads, the software depends on bamtools (https://github.com/pezmaster31/bamtools) for compilation. A detailed tutorial section is included in the first section of the supplemental material and included as brief readme.txt in the tutorial archive. Contact: m.barann@mucosa.de or p.rosenstiel@mucosa.de Supplementary information: Supplementary data are available at Bioinformatics online.
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- 2013
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7. Characterization of a highly complex region in Xq13 and mapping of three isodicentric breakpoints associated with preleukemia
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Fiona M. Ross, Sue Rider, Richard Reinhardt, Axel Kahn, Juliane Ramser, Lyndal Kearney, Lisa Riesselman, N. McDonell, Jamel Chelly, Veronica J. Buckle, Anthony P. Monaco, Marie Claude Vinet, Marie-Laure Yaspo, Ralf Sudbrak, and Fiona Francis
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X Chromosome ,Centromere ,Molecular Sequence Data ,Biology ,Contig Mapping ,Gene mapping ,Gene Duplication ,Genetics ,Humans ,Preleukemia ,Cloning, Molecular ,Chromosomes, Artificial, Yeast ,X chromosome ,In Situ Hybridization, Fluorescence ,Sex Chromosome Aberrations ,Aged ,Expressed Sequence Tags ,Bacterial artificial chromosome ,Contig ,Chromosome ,Chromosome Breakage ,Sequence Analysis, DNA ,Chromosomes, Bacterial ,Cosmids ,Blotting, Southern ,Long Interspersed Nucleotide Elements ,Leukemia, Myeloid ,Myelodysplastic Syndromes ,Acute Disease ,XIST ,Female ,Chromosome breakage - Abstract
The chromosomal abnormality represented by an isodicentric X chromosome [idic(X)(q13)] is associated with a subset of acute myeloid leukemia (AML) and preleukemia observed in elderly females. A previous study localized the breakpoints of two acquired isodicentric X chromosomes associated with myelodysplasia to a 450-kb region proximal to the XIST gene. Here we report the construction and extensive characterization of a reliable 1-Mb P1 artificial chromosome and bacterial artificial chromosome contig covering a highly problematic region in Xq13 that includes the previously described isodicentric breakpoint region. In addition to mapping of the brain-specific gene (NAP1L2) and the phosphoglyceryl kinase alpha subunit 1 gene (PHKA1) and generation and mapping of a large number of STSs throughout the contig, we have mapped a putative transcriptional regulatory protein (HDACL1), and 35 ESTs. Sequencing data, Southern blot analysis, and fiber-FISH analysis have permitted characterization of extensive region-specific duplications and triplications in addition to an unusually high concentration of long interspersed repeat elements, both of which could be implicated in isodicentric chromosome formation and other Xq13 chromosome aberrations. FISH analysis of metaphase chromosomes from two previously unpublished AML patients and one preleukemic patient using cosmid clones and selected subclones allowed mapping of the idic(X)(q13) breakpoints to a 100-kb interval, consistent with the involvement of an X-linked gene in the genesis of this form of preleukemia, disruption of which may represent a preliminary step in progression to AML. Assembly and physical mapping of this complex 1-Mb contig establish a foundation for ongoing sequencing and gene identification projects in the region.
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- 2016
8. The variant call format and VCFtools
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Javier Herrero, Carla Gallo, Harold Swerdlow, Goncalo Abecasis, Ewan Birney, Richard Durbin, Gavin Ha, Rajini Haraksingh, Gil McVean, Vineet Bafna, Paul Kersey, Laura Clarke, Robert Handsaker, Daniel MacArthur, Daniel Zerbino, Tatiana Borodina, Stephen Sherry, Andres C Garcia-Montero, Ralf Sudbrak, Sarah Dunstan, Klaudia Walter, Jonathan Sebat, Gerton Lunter, John Marioni, Ran Blekhman, Matthias Haimel, and Andreas Dahl
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0106 biological sciences ,Statistics and Probability ,dbSNP ,Genotype ,Computer science ,Information Storage and Retrieval ,Genomics ,Single-nucleotide polymorphism ,Computational biology ,010603 evolutionary biology ,01 natural sciences ,Biochemistry ,Genome ,Population genomics ,03 medical and health sciences ,Genome resequencing ,Genetic variation ,Humans ,1000 Genomes Project ,Molecular Biology ,Exome ,Alleles ,030304 developmental biology ,computer.programming_language ,0303 health sciences ,Variant Call Format ,Information retrieval ,Genome, Human ,Dna polymorphism ,Genetic Variation ,Computer Science Applications ,Applications Note ,Computational Mathematics ,Computational Theory and Mathematics ,Perl ,Sequence Analysis ,computer ,Software ,Reference genome - Abstract
Summary: The variant call format (VCF) is a generic format for storing DNA polymorphism data such as SNPs, insertions, deletions and structural variants, together with rich annotations. VCF is usually stored in a compressed manner and can be indexed for fast data retrieval of variants from a range of positions on the reference genome. The format was developed for the 1000 Genomes Project, and has also been adopted by other projects such as UK10K, dbSNP and the NHLBI Exome Project. VCFtools is a software suite that implements various utilities for processing VCF files, including validation, merging, comparing and also provides a general Perl API. Availability: http://vcftools.sourceforge.net Contact: rd@sanger.ac.uk
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- 2016
9. Sequence variation between 462 human individuals fine-tunes functional sites of RNA processing
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Joris Veltman, Angel Carracedo, Marc Friedlander, Anna Esteve-Codina, Pedro Ferreira, Ralf Sudbrak, Tuuli Lappalainen, Xavier Estivill, Suzana Ezquina, Ivo Gut, Philip Rosenstiel, Martin Oti, Michael Sammeth, Alvis Brazma, Aarno Palotie, Thomas Meitinger, European Commission, Programa Operacional do Potencial Humano (Portugal), Ministério da Ciência, Tecnologia e Ensino Superior (Portugal), Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Fundação para a Ciência e a Tecnologia (Portugal), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil), Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Institute for Molecular Medicine Finland, Aarno Palotie / Principal Investigator, and Genomics of Neurological and Neuropsychiatric Disorders
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0301 basic medicine ,Cell biology ,EDITING SITES ,Sequence analysis ,Molecular biology ,In silico ,MathematicsofComputing_GENERAL ,Computational biology ,Biology ,Polyadenylation ,Genome ,DNA sequencing ,Article ,MECHANISMS ,03 medical and health sciences ,Gene Frequency ,HUMAN GENOME ,Humans ,ddc:576.5 ,RNA, Messenger ,1000 Genomes Project ,TRANSCRIPTOME ,POPULATION ,Alleles ,Genetics ,Multidisciplinary ,HUMAN GENE-EXPRESSION ,Base Sequence ,Genome, Human ,Sequence Analysis, RNA ,PRE-MESSENGER-RNA ,Intron ,TheoryofComputation_GENERAL ,Genetic Variation ,Exons ,HUMAN-DISEASE ,Introns ,3. Good health ,Computational biology and bioinformatics ,Alternative Splicing ,030104 developmental biology ,RNA editing ,SPLICE-SITE ,Human genome ,3111 Biomedicine ,RNA Editing ,RNA Splice Sites - Abstract
The GEUVADIS Consortium., Recent advances in the cost-efficiency of sequencing technologies enabled the combined DNA- and RNA-sequencing of human individuals at the population-scale, making genome-wide investigations of the inter-individual genetic impact on gene expression viable. Employing mRNA-sequencing data from the Geuvadis Project and genome sequencing data from the 1000 Genomes Project we show that the computational analysis of DNA sequences around splice sites and poly-A signals is able to explain several observations in the phenotype data. In contrast to widespread assessments of statistically significant associations between DNA polymorphisms and quantitative traits, we developed a computational tool to pinpoint the molecular mechanisms by which genetic markers drive variation in RNA-processing, cataloguing and classifying alleles that change the affinity of core RNA elements to their recognizing factors. The in silico models we employ further suggest RNA editing can moonlight as a splicing-modulator, albeit less frequently than genomic sequence diversity. Beyond existing annotations, we demonstrate that the ultra-high resolution of RNA-Seq combined from 462 individuals also provides evidence for thousands of bona fide novel elements of RNA processing—alternative splice sites, introns and cleavage sites—which are often rare and lowly expressed but in other characteristics similar to their annotated counterparts., This research leading to these results has received funding from the European Commission 7th Framework Program, Project N. 261123 (GEUVADIS). PGF received funding by POPH - QREN Type 4.2, European Social Fund and Portuguese Ministry of Science and Technology (MCTES), Contrato Programa no âmbito do Programa Investigador FCT, 2014, IF/01127/2014. MO received funding by the National Counsel of Technological and Scientific Development (CNPq) grant 310132/2015-0 and MS received funding by the Research Support Foundation of the State of Rio de Janeiro (FAPERJ) E_06/2015 and by CNPq grant 401626/2015-6.
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- 2016
10. A global reference for human genetic variation
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Colonna V. (1000 Genomes Project Consortium) Adam Auton, Gonçalo R Abecasis, David M Altshuler, Richard M Durbin, David R Bentley, Aravinda Chakravarti, Andrew G Clark, Peter Donnelly, Evan E Eichler, Paul Flicek, Stacey B Gabriel, Richard A Gibbs, Eric D Green, Matthew E Hurles, Bartha M Knoppers, Jan O Korbel, Eric S Lander, Charles Lee, Hans Lehrach, Elaine R Mardis, Gabor T Marth, Gil A McVean, Deborah A Nickerson, Jeanette P Schmidt, Stephen T Sherry, Jun Wang, Richard K Wilson, Eric Boerwinkle, Harsha Doddapaneni, Yi Han, Viktoriya Korchina, Christie Kovar, Sandra Lee, Donna Muzny, Jeffrey G Reid, Yiming Zhu, Yuqi Chang, Qiang Feng, Xiaodong Fang, Xiaosen Guo, Min Jian, Hui Jiang, Xin Jin, Tianming Lan, Guoqing Li, Jingxiang Li, Yingrui Li, Shengmao Liu, Xiao Liu, Yao Lu, Xuedi Ma, Meifang Tang, Bo Wang, Guangbiao Wang, Honglong Wu, Renhua Wu, Xun Xu, Ye Yin, Dandan Zhang, Wenwei Zhang, Jiao Zhao, Meiru Zhao, Xiaole Zheng, Namrata Gupta, Neda Gharani, Lorraine H Toji, Norman P Gerry, Alissa M Resch, Jonathan Barker, Laura Clarke, Laurent Gil, Sarah E Hunt, Gavin Kelman, Eugene Kulesha, Rasko Leinonen, William M McLaren, Rajesh Radhakrishnan, Asier Roa, Dmitriy Smirnov, Richard E Smith, Ian Streeter, Anja Thormann, Iliana Toneva, Brendan Vaughan, Xiangqun Zheng-Bradley, Russell Grocock, Sean Humphray, Terena James, Zoya Kingsbury, Ralf Sudbrak, Marcus W Albrecht, Vyacheslav S Amstislavskiy, Tatiana A Borodina, Matthias Lienhard, Florian Mertes, Marc Sultan, Bernd Timmermann, Marie-Laure Yaspo, Lucinda Fulton, Robert Fulton, Victor Ananiev, Zinaida Belaia, Dimitriy Beloslyudtsev, Nathan Bouk, Chao Chen, Deanna Church, Robert Cohen, Charles Cook, John Garner, Timothy Hefferon, Mikhail Kimelman, Chunlei Liu, John Lopez, Peter Meric, Chris O'Sullivan, Yuri Ostapchuk, Lon Phan, Sergiy Ponomarov, Valerie Schneider, Eugene Shekhtman, Karl Sirotkin, Douglas Slotta, Hua Zhang, Senduran Balasubramaniam, John Burton, Petr Danecek, Thomas M Keane, Anja Kolb-Kokocinski, Shane McCarthy, James Stalker, Michael Quail, Christopher J Davies, Jeremy Gollub, Teresa Webster, Brant Wong, Yiping Zhan, Adam Auton, Christopher L Campbell, Yu Kong, Anthony Marcketta, Fuli Yu, Lilian Antunes, Matthew Bainbridge, Aniko Sabo, Zhuoyi Huang, Lachlan J M Coin, Lin Fang, Qibin Li, Zhenyu Li, Haoxiang Lin, Binghang Liu, Ruibang Luo, Haojing Shao, Yinlong Xie, Chen Ye, Chang Yu, Fan Zhang, Hancheng Zheng, Hongmei Zhu, Can Alkan, Elif Dal, Fatma Kahveci, Erik P Garrison, Deniz Kural, Wan-Ping Lee, Wen Fung Leong, Michael Stromberg, Alistair N Ward, Jiantao Wu, Mengyao Zhang, Mark J Daly, Mark A DePristo, Robert E Handsaker, Eric Banks, Gaurav Bhatia, Guillermo Del Angel, Giulio Genovese, Heng Li, Seva Kashin, Steven A McCarroll, James C Nemesh, Ryan E Poplin, Seungtai C Yoon, Jayon Lihm, Vladimir Makarov, Srikanth Gottipati, Alon Keinan, Juan L Rodriguez-Flores, Tobias Rausch, Markus H Fritz, Adrian M Stütz, Kathryn Beal, Avik Datta, Javier Herrero, Graham R S Ritchie, Daniel Zerbino, Pardis C Sabeti, Ilya Shlyakhter, Stephen F Schaffner, Joseph Vitti, David N Cooper, Edward V Ball, Peter D Stenson, Bret Barnes, Markus Bauer, R Keira Cheetham, Anthony Cox, Michael Eberle, Scott Kahn, Lisa Murray, John Peden, Richard Shaw, Eimear E Kenny, Mark A Batzer, Miriam K Konkel, Jerilyn A Walker, Daniel G MacArthur, Monkol Lek, Ralf Herwig, Li Ding, Daniel C Koboldt, David Larson, Kai Ye, Simon Gravel, Anand Swaroop, Emily Chew, Tuuli Lappalainen, Yaniv Erlich, Melissa Gymrek, Thomas Frederick Willems, Jared T Simpson, Mark D Shriver, Jeffrey A Rosenfeld, Carlos D Bustamante, Stephen B Montgomery, Francisco M De La Vega, Jake K Byrnes, Andrew W Carroll, Marianne K DeGorter, Phil Lacroute, Brian K Maples, Alicia R Martin, Andres Moreno-Estrada, Suyash S Shringarpure, Fouad Zakharia, Eran Halperin, Yael Baran, Eliza Cerveira, Jaeho Hwang, Ankit Malhotra, Dariusz Plewczynski, Kamen Radew, Mallory Romanovitch, Chengsheng Zhang, Fiona C L Hyland, David W Craig, Alexis Christoforides, Nils Homer, Tyler Izatt, Ahmet A Kurdoglu, Shripad A Sinari, Kevin Squire, Chunlin Xiao, Jonathan Sebat, Danny Antaki, Madhusudan Gujral, Amina Noor, Kenny Ye, Esteban G Burchard, Ryan D Hernandez, Christopher R Gignoux, David Haussler, Sol J Katzman, W James Kent, Bryan Howie, Andres Ruiz-Linares, Emmanouil T Dermitzakis, Scott E Devine, Hyun Min Kang, Jeffrey M Kidd, Tom Blackwell, Sean Caron, Wei Chen, Sarah Emery, Lars Fritsche, Christian Fuchsberger, Goo Jun, Bingshan Li, Robert Lyons, Chris Scheller, Carlo Sidore, Shiya Song, Elzbieta Sliwerska, Daniel Taliun, Adrian Tan, Ryan Welch, Mary Kate Wing, Xiaowei Zhan, Philip Awadalla, Alan Hodgkinson, Yun Li, Xinghua Shi, Andrew Quitadamo, Gerton Lunter, Jonathan L Marchini, Simon Myers, Claire Churchhouse, Olivier Delaneau, Anjali Gupta-Hinch, Warren Kretzschmar, Zamin Iqbal, Iain Mathieson, Androniki Menelaou, Andy Rimmer, Dionysia K Xifara, Taras K Oleksyk, Yunxin Fu, Xiaoming Liu, Momiao Xiong, Lynn Jorde, David Witherspoon, Jinchuan Xing, Brian L Browning, Sharon R Browning, Fereydoun Hormozdiari, Peter H Sudmant, Ekta Khurana, Chris Tyler-Smith, Cornelis A Albers, Qasim Ayub, Yuan Chen, Vincenza Colonna, Luke Jostins, Klaudia Walter, Yali Xue, Mark B Gerstein, Alexej Abyzov, Suganthi Balasubramanian, Jieming Chen, Declan Clarke, Yao Fu, Arif O Harmanci, Mike Jin, Donghoon Lee, Jeremy Liu, Xinmeng Jasmine Mu, Jing Zhang, Yan Zhang, Chris Hartl, Khalid Shakir, Jeremiah Degenhardt, Sascha Meiers, Benjamin Raeder, Francesco Paolo Casale, Oliver Stegle, Eric-Wubbo Lameijer, Ira Hall, Vineet Bafna, Jacob Michaelson, Eugene J Gardner, Ryan E Mills, Gargi Dayama, Ken Chen, Xian Fan, Zechen Chong, Tenghui Chen, Mark J Chaisson, John Huddleston, Maika Malig, Bradley J Nelson, Nicholas F Parrish, Ben Blackburne, Sarah J Lindsay, Zemin Ning, Yujun Zhang, Hugo Lam, Cristina Sisu, Danny Challis, Uday S Evani, James Lu, Uma Nagaswamy, Jin Yu, Wangshen Li, Lukas Habegger, Haiyuan Yu, Fiona Cunningham, Ian Dunham, Kasper Lage, Jakob Berg Jespersen, Heiko Horn, Donghoon Kim, Rob Desalle, Apurva Narechania, Melissa A Wilson Sayres, Fernando L Mendez, G David Poznik, Peter A Underhill, Lachlan Coin, David Mittelman, Ruby Banerjee, Maria Cerezo, Thomas W Fitzgerald, Sandra Louzada, Andrea Massaia, Graham R Ritchie, Fengtang Yang, Divya Kalra, Walker Hale, Xu Dan, Kathleen C Barnes, Christine Beiswanger, Hongyu Cai, Hongzhi Cao, Brenna Henn, Danielle Jones, Jane S Kaye, Alastair Kent, Angeliki Kerasidou, Rasika Mathias, Pilar N Ossorio, Michael Parker, Charles N Rotimi, Charmaine D Royal, Karla Sandoval, Yeyang Su, Zhongming Tian, Sarah Tishkoff, Marc Via, Yuhong Wang, Huanming Yang, Ling Yang, Jiayong Zhu, Walter Bodmer, Gabriel Bedoya, Zhiming Cai, Yang Gao, Jiayou Chu, Leena Peltonen, Andres Garcia-Montero, Alberto Orfao, Julie Dutil, Juan C Martinez-Cruzado, Rasika A Mathias, Anselm Hennis, Harold Watson, Colin McKenzie, Firdausi Qadri, Regina LaRocque, Xiaoyan Deng, Danny Asogun, Onikepe Folarin, Christian Happi, Omonwunmi Omoniwa, Matt Stremlau, Ridhi Tariyal, Muminatou Jallow, Fatoumatta Sisay Joof, Tumani Corrah, Kirk Rockett, Dominic Kwiatkowski, Jaspal Kooner, Trân T?nh Hiên, Sarah J Dunstan, Nguyen Thuy Hang, Richard Fonnie, Robert Garry, Lansana Kanneh, Lina Moses, John Schieffelin, Donald S Grant, Carla Gallo, Giovanni Poletti, Danish Saleheen, Asif Rasheed, Lisa D Brooks, Adam L Felsenfeld, Jean E McEwen, Yekaterina Vaydylevich, Audrey Duncanson, Michael Dunn, Jeffery A Schloss, 1000 Genomes Project Consortium, Institute for Medical Engineering and Science, Broad Institute of MIT and Harvard, Lincoln Laboratory, Massachusetts Institute of Technology. Department of Biology, Gabriel, Stacey, Lander, Eric Steven, Daly, Mark J, Banks, Eric, Bhatia, Gaurav, Kashin, Seva, McCarroll, Steven A, Nemesh, James, Poplin, Ryan E., Sabeti, Pardis, Shlyakhter, Ilya, Schaffner, Stephen F, Vitti, Joseph, Gymrek, Melissa A, Hartler, Christina M., and Tariyal, Ridhi
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demography ,genetic association ,genotype ,Human genomics ,Genome-wide association study ,Review ,SUSCEPTIBILITY ,DISEASE ,polymorphism ,0302 clinical medicine ,quantitative trait locus ,INDEL Mutation ,genetics ,GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries) ,MUTATION ,Exome sequencing ,0303 health sciences ,public health ,Sequence analysis ,High-Throughput Nucleotide Sequencing ,standard ,Genomics ,Reference Standards ,Physical Chromosome Mapping ,3. Good health ,priority journal ,Science & Technology - Other Topics ,BAYES FACTORS ,Molecular Developmental Biology ,Genotype ,Genetics, Medical ,Quantitative Trait Loci ,DNA sequence ,rare disease ,human genetics ,information processing ,Article ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,POPULATION HISTORY ,human genome ,Humans ,retroposon ,Genetic variability ,human ,GENOME-WIDE ASSOCIATION ,1000 Genomes Project ,Demography ,Science & Technology ,ancestry ,disease predisposition ,Genetic Variation ,MACULAR DEGENERATION ,major clinical study ,gene linkage disequilibrium ,purl.org/pe-repo/ocde/ford#3.01.02 [https] ,Genetics, Population ,030217 neurology & neurosurgery ,haplotype ,Internationality ,VARIANT ,Datasets as Topic ,Human genetic variation ,COMPLEMENT FACTOR-H ,single nucleotide polymorphism ,genetic variability ,Exome ,chromosome map ,Genetics ,Variant Call Format ,Genome ,Multidisciplinary ,1000 Genomes Project Consortium ,international cooperation ,Multidisciplinary Sciences ,standards ,Disease Susceptibility ,medical genetics ,General Science & Technology ,Population ,Computational biology ,Biology ,gene frequency ,Polymorphism, Single Nucleotide ,high throughput sequencing ,Rare Diseases ,promoter region ,MD Multidisciplinary ,Genetic variation ,QH426 ,030304 developmental biology ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,Genome, Human ,population genetics ,population structure ,Sequence Analysis, DNA ,gene structure ,INDIVIDUALS ,Haplotypes ,Genome-Wide Association Study ,purl.org/pe-repo/ocde/ford#1.06.07 [https] - Abstract
The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies., Wellcome Trust (London, England) (Core Award 090532/Z/09/Z), Wellcome Trust (London, England) (Senior Investigator Award 095552/Z/11/Z ), Wellcome Trust (London, England) (WT095908), Wellcome Trust (London, England) (WT109497), Wellcome Trust (London, England) (WT098051), Wellcome Trust (London, England) (WT086084/Z/08/Z), Wellcome Trust (London, England) (WT100956/Z/13/Z ), Wellcome Trust (London, England) (WT097307), Wellcome Trust (London, England) (WT0855322/Z/08/Z ), Wellcome Trust (London, England) (WT090770/Z/09/Z ), Wellcome Trust (London, England) (Major Overseas program in Vietnam grant 089276/Z.09/Z), Medical Research Council (Great Britain) (grant G0801823), Biotechnology and Biological Sciences Research Council (Great Britain) (grant BB/I02593X/1), Biotechnology and Biological Sciences Research Council (Great Britain) (grant BB/I021213/1), Zhongguo ke xue ji shu qing bao yan jiu suo. Office of 863 Programme of China (2012AA02A201), National Basic Research Program of China (2011CB809201), National Basic Research Program of China (2011CB809202), National Basic Research Program of China (2011CB809203), National Natural Science Foundation of China (31161130357), Shenzhen Municipal Government of China (grant ZYC201105170397A), Canadian Institutes of Health Research (grant 136855), Quebec Ministry of Economic Development, Innovation, and Exports (PSR-SIIRI-195), Germany. Bundesministerium für Bildung und Forschung (0315428A), Germany. Bundesministerium für Bildung und Forschung (01GS08201), Germany. Bundesministerium für Bildung und Forschung (BMBF-EPITREAT grant 0316190A), Deutsche Forschungsgemeinschaft (Emmy Noether Grant KO4037/1-1), Beatriu de Pinos Program (2006 BP-A 10144), Beatriu de Pinos Program (2009 BP-B 00274), Spanish National Institute for Health (grant PRB2 IPT13/0001-ISCIII-SGEFI/FEDER), Japan Society for the Promotion of Science (fellowship number PE13075), Marie Curie Actions Career Integration (grant 303772), Fonds National Suisse del la Recherche, SNSF, Scientifique (31003A_130342), National Center for Biotechnology Information (U.S.) (U54HG3067), National Center for Biotechnology Information (U.S.) (U54HG3273), National Center for Biotechnology Information (U.S.) (U01HG5211), National Center for Biotechnology Information (U.S.) (U54HG3079), National Center for Biotechnology Information (U.S.) (R01HG2898), National Center for Biotechnology Information (U.S.) (R01HG2385), National Center for Biotechnology Information (U.S.) (RC2HG5552), National Center for Biotechnology Information (U.S.) (U01HG6513), National Center for Biotechnology Information (U.S.) (U01HG5214), National Center for Biotechnology Information (U.S.) (U01HG5715), National Center for Biotechnology Information (U.S.) (U01HG5718), National Center for Biotechnology Information (U.S.) (U01HG5728), National Center for Biotechnology Information (U.S.) (U41HG7635), National Center for Biotechnology Information (U.S.) (U41HG7497), National Center for Biotechnology Information (U.S.) (R01HG4960), National Center for Biotechnology Information (U.S.) (R01HG5701), National Center for Biotechnology Information (U.S.) (R01HG5214), National Center for Biotechnology Information (U.S.) (R01HG6855), National Center for Biotechnology Information (U.S.) (R01HG7068), National Center for Biotechnology Information (U.S.) (R01HG7644), National Center for Biotechnology Information (U.S.) (DP2OD6514), National Center for Biotechnology Information (U.S.) (DP5OD9154), National Center for Biotechnology Information (U.S.) (R01CA166661), National Center for Biotechnology Information (U.S.) (R01CA172652), National Center for Biotechnology Information (U.S.) (P01GM99568), National Center for Biotechnology Information (U.S.) (R01GM59290), National Center for Biotechnology Information (U.S.) (R01GM104390), National Center for Biotechnology Information (U.S.) (T32GM7790), National Center for Biotechnology Information (U.S.) (R01HL87699), National Center for Biotechnology Information (U.S.) (R01HL104608), National Center for Biotechnology Information (U.S.) (T32HL94284), National Center for Biotechnology Information (U.S.) (HHSN268201100040C), National Center for Biotechnology Information (U.S.) (HHSN272201000025C), Lundbeck Foundation (grant R170-2014-1039, Simons Foundation (SFARI award SF51), National Science Foundation (U.S.) (Research Fellowship DGE-1147470)
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- 2015
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11. The DNA sequence, annotation and analysis of human chromosome 3
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Zhengdong D. Zhang, Jun Wang, Zhu Chen, Will Gillett, George M. Weinstock, Guoping Zhao, LaRonda Jackson, Christopher K. Raymond, Manuel L. Gonzalez-Garay, Yang Zhou, Judith Hernandez, Boqin Qiang, James B. Clendenning, Zhijian J. Chen, Shannon Dugan-Rocha, Andrew R. Jackson, Zhijian Yao, Yan Shen, R. Alan Harris, Ziad Khan, Margaret Morgan, Wei Dong, Sharon Wei, Dawn Garcia, Aleksandar Milosavljevic, Maynard V. Olson, Ruben Rodriguez, Kerstin P. Clerc-Blankenburg, Ryan J. Lozado, Ralf Sudbrak, Jun Gu, Jing Kun Zhang, Heather R. Draper, Mary J. Brown, Channakhone Saenphimmachak, M. Ali Ansari-Lari, Songnian Hu, Preethi H. Gunaratne, Donna M. Muzny, Shiran Pasternak, Xing Zhi Song, Oliver Delgado, Bailin Hao, Lesette Perez, Charles Q. Adams, Michael L. Metzker, Anne Hodgson, Daniel Verduzco, Bao Viet Nguyen, Susan H. Kelly, Xin He, Jing Wang, Runsheng Chen, Karen A. Phelps, Rajinder Kaul, Guan Chen, Wei Huang, Huyen Dinh, Lenee Waldron, Paul Havlak, George Miner, Qiaoyan Wang, Ye Yuan, Rachel Gill, Anthony Palmeiri, Mathew W. Wright, Kim C. Worley, Michael Kube, Jing Liu, Clay Davis, Christian J. Buhay, Zhangwan Li, Jun Yu, Alicia Hawes, Jing Lu, Steffen Hennig, David L. Nelson, Rui Chen, Leni S. Jacob, Huanming Yang, Bin Liu, Steven E. Scherer, Christie Kovar-Smith, Jian Wang, Manjula Maheshwari, Gabrielle A. Williams, Paul E. Tabor, David A. Wheeler, Hans Lehrach, Graham R. Scott, Farah J.H. Plopper, Erica Sodergren, Wen Liu, Mulu Ayele, Richard Reinhardt, Richard A. Gibbs, Eric Haugen, Lora Lewis, Hua Shen, Gang Fu, Jianling Zhou, Xiuqing Zhang, Stephen Ernst, Geoffrey Okwuonu, Susan L. Naylor, Jennifer Hume, Ruth Levy, Andrew Cree, Yan Ding, David Steffen, Lynne V. Nazareth, Jireh Santibanez, Sandhya Subramanian, and Gane Ka-Shu Wong
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Inversion, Chromosome ,Genome evolution ,DNA, Complementary ,Pan troglodytes ,Molecular Sequence Data ,Biology ,Synteny ,Genome ,Evolution, Molecular ,Chimpanzee genome project ,Contig Mapping ,Chromosome 19 ,Human Genome Project ,Animals ,Humans ,Expressed Sequence Tags ,Genetics ,Multidisciplinary ,Base Sequence ,Chromosome Breakage ,Sequence Analysis, DNA ,Genome project ,Macaca mulatta ,Chromosome Inversion ,CpG Islands ,Human genome ,Chromosomes, Human, Pair 3 ,Chromosome 21 ,Reference genome - Abstract
Udgivelsesdato: 2006-Apr-27 After the completion of a draft human genome sequence, the International Human Genome Sequencing Consortium has proceeded to finish and annotate each of the 24 chromosomes comprising the human genome. Here we describe the sequencing and analysis of human chromosome 3, one of the largest human chromosomes. Chromosome 3 comprises just four contigs, one of which currently represents the longest unbroken stretch of finished DNA sequence known so far. The chromosome is remarkable in having the lowest rate of segmental duplication in the genome. It also includes a chemokine receptor gene cluster as well as numerous loci involved in multiple human cancers such as the gene encoding FHIT, which contains the most common constitutive fragile site in the genome, FRA3B. Using genomic sequence from chimpanzee and rhesus macaque, we were able to characterize the breakpoints defining a large pericentric inversion that occurred some time after the split of Homininae from Ponginae, and propose an evolutionary history of the inversion.
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- 2006
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12. Identification and Analysis of Axonemal Dynein Light Chain 1 in Primary Ciliary Dyskinesia Patients
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Ralf Sudbrak, Judit Horvath, Heymut Omran, Hannah M. Mitchison, Heike Olbrich, Andreas Kispert, Maimoona A. Zariwala, Juergen Neesen, Richard Reinhardt, Stephen M. King, Michael R. Knowles, György Fekete, and Manfred Fliegauf
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Cytoplasmic Dyneins ,Male ,Models, Molecular ,Embryo, Nonmammalian ,Protein Conformation ,Swine ,Amino Acid Motifs ,DNA Mutational Analysis ,Clinical Biochemistry ,Protein Structure, Secondary ,Mice ,Databases, Genetic ,Testis ,Cloning, Molecular ,Lung ,In Situ Hybridization ,Primary ciliary dyskinesia ,Expressed Sequence Tags ,Genetics ,biology ,Cilium ,Exons ,Spermatozoa ,Cell biology ,Trachea ,Phenotype ,Flagella ,Motile cilium ,Protein Binding ,Pulmonary and Respiratory Medicine ,Molecular Sequence Data ,Dynein ,Flagellum ,Cell Line ,Evolution, Molecular ,Motor protein ,Open Reading Frames ,Species Specificity ,Ependyma ,medicine ,Animals ,Humans ,Immunoprecipitation ,Amino Acid Sequence ,RNA, Messenger ,Molecular Biology ,Sequence Homology, Amino Acid ,Kartagener Syndrome ,Chlamydomonas ,Dyneins ,Cell Biology ,Blotting, Northern ,Embryo, Mammalian ,biology.organism_classification ,medicine.disease ,Introns ,Mutation ,Respiratory epithelium - Abstract
Primary ciliary dyskinesia (PCD) is a genetically heterogeneous disorder characterized by chronic infections of the upper and lower airways, randomization of left/right body asymmetry, and reduced fertility. The phenotype results from dysfunction of motile cilia of the respiratory epithelium, at the embryonic node and of sperm flagella. Ultrastructural defects often involve outer dynein arms (ODAs), that are composed of several light (LCs), intermediate, and heavy (HCs) dynein chains. We recently showed that recessive mutations of DNAH5, the human ortholog of the biflagellate Chlamydomonas ODA gamma-HC, cause PCD. In Chlamydomonas, motor protein activity of the gamma-ODA-HC is regulated by binding of the axonemal LC1. We report the identification of the human (DNAL1) and murine (Dnal1) orthologs of the Chlamydomonas LC1-gene. Northern blot and in situ hybridization analyses revealed specific expression in testis, embryonic node, respiratory epithelium, and ependyma, resembling the DNAH5 expression pattern. In silico protein analysis showed complete conservation of the LC1/gamma-HC binding motif in DNAL1. Protein interaction studies demonstrated binding of DNAL1 and DNAH5. Based on these findings, we considered DNAL1 a candidate for PCD and sequenced all exons of DNAL1 in 86 patients. Mutational analysis was negative, excluding a major role of DNAL1 in the pathogenesis of PCD.
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- 2005
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13. The DNA sequence of the human X chromosome
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Gernot Glöckner, Karen Thomas, Christine Lloyd, Huda Y. Zoghbi, Adrienne Hunt, Fiona Francis, Annemarie Poustka, George M. Weinstock, Xuehong Wei, Alan Tracey, Gabriele Nordsiek, Ines Müller, Graham Clarke, Oliver Beasley, John Sulston, Alfred Beck, Christian J. Buhay, Thomas Meitinger, Manjula Maheshwari, Yvonne Ramsey, Kirsten McLay, Shannon Dugan-Rocha, James G. R. Gilbert, Louisa Faulkner, Sidney Morris, Margaret Morgan, Huntington F. Willard, Leni S. Jacob, Hermela Loulseged, K M Porter, T. Daniel Andrews, Cordelia Langford, Paul Wray, Guan Chen, Juliane Ramser, Nigel P. Carter, Georgina Warry, Ruby Banerjee, Graeme Bethel, LaDeana W. Hillier, Anne Hodgson, Stephen M. J. Searle, K F Barlow, David R. Bentley, Paul E. Tabor, Kathryn L. Evans, Russell J. Grocock, Rebecca Woodmansey, Alex V Pearce, Christie Kovar-Smith, Angela Williamson, Dean Chavez, Roy Storey, Kevin L. Howe, Zhijian J. Chen, Lesette Perez, Richard A. Gibbs, Michele D'Urso, Karen N Bates, Jackie Bye, Shirin S. Joseph, Bernd Hinzmann, Paul Heath, Susan H. Kelly, Jennifer Hume, Paula E. Burch, David Buck, Mark T. Ross, David A. Wheeler, Matthew C. Jones, A K Babbage, Erica Sodergren, Sophie Palmer, Jie Ma, Elizabeth C. Sotheran, Margaret A. Leversha, Cerissa Hamilton, Hans Lehrach, Swaroop Aradhya, Michael L. Metzker, S. M. Clegg, Elizabeth J. Huckle, Audrey Fraser, Sarah Bray-Allen, C. D. Skuce, Petra Galgoczy, Richard K. Wilson, Patrick Minx, Richard E Connor, Tamsin Eades, Alfons Meindl, Michelle Smith, John M. Davis, André Rosenthal, Stuart McLaren, Geoffery Okwuonu, M. Vaudin, Laura Carrel, Ryan J. Lozado, Harminder Sehra, Richard Pandian, Sue Y Clark, Anna Kosiura, Wen Liu, Simon G. Gregory, A Tromans, Alexandra Emery-Cohen, Charles Shaw-Smith, Donna Villasana, Joseph Chako, Katja Heitmann, Robert G. David, Jennifer L. Ashurst, Craig Chinault, S Lawlor, Paul Havlak, Jane E. Loveland, Lucy Matthews, Jianling Zhou, S. Whitehead, Paul Hunt, E Sheridan, Richard Reinhardt, Tim Hubbard, Mary G. Schueler, Patrick Meidl, Helen Beasley, David Beare, Donna M. Muzny, Kerry A Ridler, Joanne C Chapman, Jennifer McDowall, Andrew Dunham, Anne Bridgeman, Gabrielle Williams, Amanda McMurray, Stefan Taudien, Matthew E. Hurles, Helen Williamson, Preethi H. Gunaratne, Alfredo Ciccodicola, R Ainscough, Alison J. Coffey, Charlotte G. Cole, Stephan Beck, Frances L Lovell, Alan Coulson, Qiaoyan Wang, Sally Jones, Charles A. Steward, Michael Hoffs, Kim C. Worley, Sarah Pelan, David Bonnin, David Schlessinger, Mathew N Whiteley, Graham Scott, Christopher N O'Dell, Tineace Taylor, Susan Rhodes, Anthony P. West, E. Hart, Ian P. Barrett, Andrea Thorpe, D. Pearson, Huyen Dinh, Susan M. Gribble, Andrew J Knights, Laurens G. Wilming, N Corby, Steven E. Scherer, Pawandeep Dhami, Gerald Nyakatura, J Lovell, M. Ali Ansari-Lari, Kerstin P. Clerc-Blankenburg, David Swarbreck, Sara Zorilla, Yanghong Gu, Karin Blechschmidt, Matthew Dunn, Andrew Brown, Kirsten M. Timms, Darren Grafham, Yan Ding, Elspeth A. Bruford, Leanne Williams, Melanie M. Wall, Hua Shen, Dina Patel, Joanne K Kershaw, Rachel Gill, Yuan Chen, Joy Davies, D C Burford, John Burton, Vicky Cobley, R I S Ashwell, Nicola Brady, Ellson Y. Chen, Ngoc Nguyen, Gaiping Wen, Gavin K. Laird, Julia E. Parrish, Carol Scott, C Griffiths, Ratna Shownkeen, Ralf Sudbrak, Denise R. DeShazo, Shiran Pasternak, Ireena Dutta, Brian Teague, Rachael Lyne, David Parker, Jane Rogers, Steve Dodsworth, Mary J. Brown, Gary E Barker, Steve Trevanion, Joanne Burgess, Jane E. Wilkinson, James T. Warren, Jen S. Conquer, R Mark Swann, Oliver Delgado, Heather R. Draper, Shailesh L Mistry, Chris Clee, Richard Durbin, Karen Clifford, John Frankland, Sarah E. Hunt, David Steffen, Christine Burrows, Daniel Verduzco, C Carder, Robert H. Waterston, Stephen Richards, Andrea Ballabio, Catherine M. Rice, David Willey, Helen Errington, Andrew Cree, K. James Durbin, Lora Lewis, D. M. Lloyd, Helen E. Steingruber, Adam Whittaker, K D Ambrose, Rhian Gwilliam, Adam Frankish, Robert S. Fulton, Judith Hernandez, Claire L Bagguley, Pieter J. de Jong, Jennifer Yen, Matthew Ellwood, Christine P. Bird, Rui Chen, Sarah Milne, Clay Davis, Alicia Hawes, Jing Lu, Sven Klages, David L. Nelson, Wayne Burrill, Jingkun Zhang, Judith Isherwood, Kathrin Reichwald, Lenee Waldron, Rebecca Deadman, Steffen Hennig, Ziad Khan, Sarah Ho, Matthias Platzer, Gareth R. Howell, Stephen Keenan, Petra Kioschis, Phillip J Howden, George Miner, David W. Johnson, and James C. Mullikin
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Male ,Genetic Linkage ,Genetics, Medical ,Centromere ,HUMAN GENOME SEQUENCE ,Biology ,Y chromosome ,Polymorphism, Single Nucleotide ,Article ,Evolution, Molecular ,Contig Mapping ,Chromosome 16 ,Antigens, Neoplasm ,Dosage Compensation, Genetic ,Sequence Homology, Nucleic Acid ,Chromosome 19 ,Testis ,Animals ,Humans ,Crossing Over, Genetic ,X chromosome ,Repetitive Sequences, Nucleic Acid ,Genetics ,Chromosomes, Human, X ,Chromosomes, Human, Y ,Multidisciplinary ,INACTIVATION CENTER ,LINKED MENTAL-RETARDATION ,Genomics ,Sequence Analysis, DNA ,REPEAT HYPOTHESIS ,MAMMALIAN Y-CHROMOSOME ,Chromosome 4 ,Chromosome 3 ,RNA ,Female ,Chromosome 21 ,Chromosome 22 - Abstract
The human X chromosome has a unique biology that was shaped by its evolution as the sex chromosome shared by males and females. We have determined 99.3% of the euchromatic sequence of the X chromosome. Our analysis illustrates the autosomal origin of the mammalian sex chromosomes, the stepwise process that led to the progressive loss of recombination between X and Y, and the extent of subsequent degradation of the Y chromosome. LINE1 repeat elements cover one-third of the X chromosome, with a distribution that is consistent with their proposed role as way stations in the process of X-chromosome inactivation. We found 1,098 genes in the sequence, of which 99 encode proteins expressed in testis and in various tumour types. A disproportionately high number of mendelian diseases are documented for the X chromosome. Of this number, 168 have been explained by mutations in 113 X-linked genes, which in many cases were characterized with the aid of the DNA sequence.
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- 2005
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14. Nephrocystin-5, a ciliary IQ domain protein, is mutated in Senior-Loken syndrome and interacts with RPGR and calmodulin
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John A. Sayer, Paul Coucke, Shirley He, Jan Hellemans, Melissa Tippens, Benjamin Margolis, Edgar A. Otto, Richard Reinhardt, Pamela A. Raymond, Anand Swaroop, Andreas Kispert, Friedhelm Hildebrandt, Motoyuki Tsuda, Bart Loeys, Isao Kawakami, John F. O'Toole, Heymut Omran, Concepción Lillo, PL Beales, Anita Imm, David S. Williams, Boris Utsch, David Jimeno, Takehiro Kusakabe, Massimo Attanasio, Hemant Khanna, Shuling Fan, Juliana Helou, Ulla Muerb, Jo Hill, Ralf Sudbrak, Anne De Paepe, and Sven Klages
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Male ,Positional cloning ,Molecular Sequence Data ,Senior–Løken syndrome ,Biology ,Calmodulin ,Nephronophthisis ,Two-Hybrid System Techniques ,Retinitis pigmentosa ,Genetics ,medicine ,Humans ,Amino Acid Sequence ,Eye Proteins ,Cilium ,Ciliary transition zone ,Syndrome ,Retinitis pigmentosa GTPase regulator ,Blotting, Northern ,medicine.disease ,eye diseases ,Pedigree ,RPGRIP1L ,Mutation ,Calmodulin-Binding Proteins ,Female - Abstract
Nephronophthisis (NPHP) is the most frequent genetic cause of chronic renal failure in children(1-3). Identification of four genes mutated in NPHP subtypes 1- 4 (refs. 4- 9) has linked the pathogenesis of NPHP to ciliary functions(9). Ten percent of affected individuals have retinitis pigmentosa, constituting the renal-retinal Senior-Loken syndrome (SLSN). Here we identify, by positional cloning, mutations in an evolutionarily conserved gene, IQCB1 (also called NPHP5), as the most frequent cause of SLSN. IQCB1 encodes an IQ-domain protein, nephrocystin-5. All individuals with IQCB1 mutations have retinitis pigmentosa. Hence, we examined the interaction of nephrocystin-5 with RPGR (retinitis pigmentosa GTPase regulator), which is expressed in photoreceptor cilia and associated with 10-20% of retinitis pigmentosa. We show that nephrocystin-5, RPGR and calmodulin can be coimmunoprecipitated from retinal extracts, and that these proteins localize to connecting cilia of photoreceptors and to primary cilia of renal epithelial cells. Our studies emphasize the central role of ciliary dysfunction in the pathogenesis of SLSN.
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- 2005
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15. Mono-allelic expression of the IGF-I receptor does not affect IGF responses in human fibroblasts
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Elke Hammer, Kerstin Kutsche, Friedrich Haag, Bernd Kübler, Ralf Sudbrak, Kurt Ullrich, Rolf Peter Willig, and Thomas Braulke
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medicine.medical_specialty ,Endocrinology, Diabetes and Metabolism ,Cell Culture Techniques ,Insulin-like growth factor-binding protein ,Receptor, IGF Type 1 ,Endocrinology ,Internal medicine ,medicine ,Humans ,Insulin-Like Growth Factor I ,Receptor ,Fibroblast ,Gene ,Insulin-like growth factor 1 receptor ,Chromosomes, Human, Pair 15 ,biology ,medicine.diagnostic_test ,General Medicine ,Fibroblasts ,IGF1R Gene ,Body Height ,Insulin-Like Growth Factor Binding Proteins ,medicine.anatomical_structure ,Cell culture ,Child, Preschool ,biology.protein ,Female ,Chromosome Deletion ,Fluorescence in situ hybridization - Abstract
OBJECTIVE: It has been suggested that mono-allelic deletion of the IGF-I receptor gene is causally related to severe intrauterine and postnatal growth deficiency whereas no IGF-I resistance was observed in the patients' fibroblasts. The expression and regulation of the growth-modulating IGF binding proteins (IGFBPs) have been investigated in serum and fibroblasts of a short girl with mono-allelic loss of the distal long arm of chromosome 15 (15q26.1-qter). PATIENT AND METHODS: The mono-allelic loss of the IGF-I receptor (IGF1R) gene was confirmed in a child with prenatal and severe postnatal growth retardation by fluorescence in situ hybridization, and was evaluated on the protein level in fibroblasts of the patient by FACS analysis and IGF cross-linkage. Additionally, expression of IGFBPs and cell-mediated degradation of IGFBP-3 were examined in the patient's fibroblasts. RESULTS: Levels of GH, IGF-I, and IGFBP-3 were above the 95th percentile in the serum of the 3-year-old girl with a mono-allelic deletion of the IGF1R gene, suggesting IGF-I resistance. In the patient's fibroblasts the IGF-I receptor concentration was half that in control cells. Whereas the pattern of secreted IGFBPs in response to IGFs was not altered, the abundance of secreted IGFBPs was higher in the patient's cells than in controls. Moreover, fibroblast-mediated degradation of 125I-labeled IGFBP-3 appears to be reduced in the patient's fibroblasts. The higher abundance of IGFBPs in the patient's fibroblasts might be responsible for the lack of IGF-I-stimulated [alpha-1-14C]methylaminoisobutyric acid transport. CONCLUSION: Our results suggest that the expression and regulation of IGFBPs in tissues from patients with mono-allelic deletion of the IGF-I receptor gene may lead to IGF sequestration and contribute to IGF-I resistance and growth retardation.
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- 2004
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16. The Genomic Sequence and Comparative Analysis of the Rat Major Histocompatibility Complex
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Takashi Shiina, Ralf Sudbrak, Hidetoshi Inoko, Heinz Himmelbauer, Sven Klages, Ines Müller, Richard Reinhardt, Peter Peter Hurt, Lutz Walter, Hans Lehrach, and Eberhard Günther
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Molecular Sequence Data ,Genes, MHC Class I ,Context (language use) ,Biology ,Major histocompatibility complex ,Genome ,Evolution, Molecular ,Major Histocompatibility Complex ,Mice ,Phylogenetics ,Rats, Inbred BN ,Genetics ,Animals ,Humans ,Gene family ,Letters ,Gene ,Phylogeny ,Genetics (clinical) ,Sequence (medicine) ,Polymorphism, Genetic ,Chromosome ,Sequence Analysis, DNA ,Physical Chromosome Mapping ,Rats ,Genes ,Rats, Inbred Lew ,Evolutionary biology ,Multigene Family ,biology.protein - Abstract
We have determined the sequence of a 4-Mb interval on rat chromosome 20p12 that encompasses the rat major histocompatibility complex (MHC). This is the first report of a finished sequence for a segment of the rat genome and constitutes one of the largest contiguous sequences thus far for rodent genomes in general. The rat MHC is, next to the human MHC, the second mammalian MHC sequenced to completion. Our analysis has resulted in the identification of at least 220 genes located within the sequenced interval. Although gene content and order are well conserved in the class II and class III gene intervals as well as the framework gene regions, profound rat-specific features were encountered within the class I gene regions, in comparison to human and mouse. Class I region-associated differences were found both at the structural level, the number, and organization of class I genes and gene families, and, in a more global context, in the way that evolution worked to shape the present-day rat MHC.
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- 2004
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17. Finishing the euchromatic sequence of the human genome
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Daniel Leongamornlert, Mike Kay, Richard Mott, Richard Redon, Tim @timjph Hubbard, Krishnaveni Palaniappan, Fumiaki Ito, Christina Cuomo, Maurice Pitesky, Scott Thurston, Javier Santoyo-Lopez, Laura Clarke, Jean-Louis Petit, Joseph Rodriguez, Robert Nicol, Xose Fernandez, Michael Schuster, Jaime Hughes, Jessica Wollard, Caleb Webber, Adam Siepel, Véronique De Berardinis, Ralf Sudbrak, Takehiko Itoh, Stephanie Malfatti, Panos Deloukas, Charles Steward, Gernot Glöckner, Ernest Lewis, Andy Smith, Judith Flanagan, Kim Pruitt, Sarah Lindsay, MICHAEL MCLELLAN, Angie Hinrichs, Charles Whittaker, Stuart Gammon, Rachel Elizabeth Rigby, Richard Dobson, Ian Dunham, and Stephen Keenan
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Genetics ,Whole genome sequencing ,Multidisciplinary ,Sequence analysis ,Pseudogene ,Human genome ,Computational biology ,Biology ,ENCODE ,Gene ,Genome ,Segmental duplication - Abstract
The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers approximately 99% of the euchromatic genome and is accurate to an error rate of approximately 1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human genome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead.
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- 2004
18. Human versus chimpanzee chromosome-wide sequence comparison and its evolutionary implication
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Ines Hellmann, A Kahla, Hans Lehrach, Philipp Khaitovich, Satoshi Oota, Takashi Kitano, K.-M. Wu, M. Scharfe, A Kel, Ralf Sudbrak, Yoshiyuki Sakaki, Richard Reinhardt, J.-E. Cheong, H Blöecker, Yongseok Lee, Asao Fujiyama, Marie-Laure Yaspo, Yoko Kuroki, Svante Pääbo, Z. Chen, G.-F. Zhu, S. H. Choi, Todd D. Taylor, G.-P. Zhao, P. Galgoczy, M Platzer, X.-L. Zhang, Atsushi Toyoda, Kwang-Jen Hsiao, Choong-Gon Kim, B.-F. Wang, Gabriele Nordsiek, S.-Y. Wang, T.-T. Liu, Shih-Feng Tsai, Hong Seog Park, Takeshi Itoh, M Kube, Hidemi Watanabe, S. Taenzer, Masahira Hattori, H.-J. Zheng, S.-X. Ren, and Naruya Saitou
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Pan troglodytes ,Molecular Sequence Data ,Gene Expression ,Receptor, Interferon alpha-beta ,Biology ,Biochemistry ,Genome ,Chromosomes ,Evolution, Molecular ,Species Specificity ,Sequence Homology, Nucleic Acid ,Sequence comparison ,Genetics ,Animals ,Chromosomes, Human ,Humans ,Promoter Regions, Genetic ,Molecular Biology ,Receptors, Interferon ,Base Sequence ,Genome, Human ,Nucleic acid sequence ,Proteins ,Chromosome ,DNA ,Human genetics ,Interferon-alpha/beta ,Sequence homology ,Amino Acid Substitution ,Evolutionary biology ,Chromosome 21 - Published
- 2003
19. A Gene Mutated in Nephronophthisis and Retinitis Pigmentosa Encodes a Novel Protein, Nephroretinin, Conserved in Evolution
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Maria J. Schuermann, Ralf Sudbrak, Achim Becker, Karl S. Hiller, Adelheid M. Mueller, Rainer G. Ruf, Friedhelm Hildebrandt, Ralf Birkenhäger, Peter Nürnberg, Edgar A. Otto, Matthias T.F. Wolf, Hans Christian Hennies, and Julia Hoefele
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Molecular Sequence Data ,Senior–Løken syndrome ,Biology ,medicine.disease_cause ,Gene product ,Nephronophthisis ,Retinitis pigmentosa ,Genetics ,medicine ,Humans ,Genetics(clinical) ,Gene ,Genetics (clinical) ,Adaptor Proteins, Signal Transducing ,Cystic kidney ,Mutation ,Membrane Proteins ,Proteins ,Articles ,Sequence Analysis, DNA ,Kidney Diseases, Cystic ,medicine.disease ,Cytoskeletal Proteins ,Haplotypes ,Organ Specificity ,RPGRIP1L ,Carrier Proteins ,Retinitis Pigmentosa - Abstract
Nephronophthisis (NPHP) comprises a group of autosomal recessive cystic kidney diseases, which constitute the most frequent genetic cause for end-stage renal failure in children and young adults. The most prominent histologic feature of NPHP consists of development of renal fibrosis, which, in chronic renal failure of any origin, represents the pathogenic event correlated most strongly to loss of renal function. Four gene loci for NPHP have been mapped to chromosomes 2q13 (NPHP1), 9q22 (NPHP2), 3q22 (NPHP3), and 1p36 (NPHP4). At all four loci, linkage has also been demonstrated in families with the association of NPHP and retinitis pigmentosa, known as "Senior-Løken syndrome" (SLS). Identification of the gene for NPHP type 1 had revealed nephrocystin as a novel docking protein, providing new insights into mechanisms of cell-cell and cell-matrix signaling. We here report identification of the gene (NPHP4) causing NPHP type 4, by use of high-resolution haplotype analysis and by demonstration of nine likely loss-of-function mutations in six affected families. NPHP4 encodes a novel protein, nephroretinin, that is conserved in evolution--for example, in the nematode Caenorhabditis elegans. In addition, we demonstrate two loss-of-function mutations of NPHP4 in patients from two families with SLS. Thus, we have identified a novel gene with critical roles in renal tissue architecture and ophthalmic function.
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- 2002
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20. Variation in genome-wide mutation rates within and between human families
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Javier Herrero, Harold Swerdlow, Rajini Haraksingh, Christopher Hartl, Laura Clarke, Ryan Mills, David N. Cooper, Carlos Torroja, Daniel MacArthur, Carlos D. Bustamante, Tatiana Borodina, Ralf Sudbrak, Philip Rosenstiel, Eugene Kulesha, Klaudia Walter, Simon Myers, Jonathan Sebat, Eric Stone, Kiran Garimella, Rajesh Radhakrishnan, Sarah Lindsay, William McLaren, Vadim Zalunin, Andrew Clark, Rasko Leinonen, Thomas Keane, Stephen Keenan, and Andreas Dahl
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Male ,Genetics ,Mutation ,Mutation rate ,Genome, Human ,DNA Mutational Analysis ,Chromosome Mapping ,Genetic Variation ,Germline mosaicism ,Biology ,medicine.disease_cause ,Polymerase Chain Reaction ,Genome ,Article ,Germline ,Germline mutation ,medicine ,Humans ,Family ,Female ,Human genome ,Gene ,Germ-Line Mutation - Abstract
J.B.S. Haldane proposed in 1947 that the male germline may be more mutagenic than the female germline. Diverse studies have supported Haldane's contention of a higher average mutation rate in the male germline in a variety of mammals, including humans. Here we present, to our knowledge, the first direct comparative analysis of male and female germline mutation rates from the complete genome sequences of two parent-offspring trios. Through extensive validation, we identified 49 and 35 germline de novo mutations (DNMs) in two trio offspring, as well as 1,586 non-germline DNMs arising either somatically or in the cell lines from which the DNA was derived. Most strikingly, in one family, we observed that 92% of germline DNMs were from the paternal germline, whereas, in contrast, in the other family, 64% of DNMs were from the maternal germline. These observations suggest considerable variation in mutation rates within and between families.
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- 2011
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21. Tandem RNA chimeras contribute to transcriptome diversity in human population and are associated with intronic genetic variants
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Angel Carracedo, Marc Friedlander, Halit Ongen, Daniel MacArthur, Pedro Ferreira, Ralf Sudbrak, Tuuli Lappalainen, Xavier Estivill, Sergi Beltran, Johan Rung, Alvis Brazma, Robert Häsler, and Thomas Meitinger
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Population ,lcsh:Medicine ,Biology ,Polymorphism, Single Nucleotide ,Transcriptome ,Fusion gene ,03 medical and health sciences ,0302 clinical medicine ,Chimeric RNA ,Genetics ,Humans ,ddc:576.5 ,RNA, Messenger ,lcsh:Science ,education ,Gene ,030304 developmental biology ,0303 health sciences ,education.field_of_study ,Evolutionary Biology ,Multidisciplinary ,Population Biology ,lcsh:R ,Breakpoint ,Intron ,RNA ,Biology and Life Sciences ,Computational Biology ,Genetic Variation ,Introns ,3. Good health ,030220 oncology & carcinogenesis ,lcsh:Q ,Research Article - Abstract
Chimeric RNAs originating from two or more different genes are known to exist not only in cancer, but also in normal tissues, where they can play a role in human evolution. However, the exact mechanism of their formation is unknown. Here, we use RNA sequencing data from 462 healthy individuals representing 5 human populations to systematically identify and in depth characterize 81 RNA tandem chimeric transcripts, 13 of which are novel. We observe that 6 out of these 81 chimeras have been regarded as cancer-specific. Moreover, we show that a prevalence of long introns at the fusion breakpoint is associated with the chimeric transcripts formation. We also find that tandem RNA chimeras have lower abundances as compared to their partner genes. Finally, by combining our results with genomic data from the same individuals we uncover intronic genetic variants associated with the chimeric RNA formation. Taken together our findings provide an important insight into the chimeric transcripts formation and open new avenues of research into the role of intronic genetic variants in post-transcriptional processing events.
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- 2014
22. Mutation of BSND causes Bartter syndrome with sensorineural deafness and kidney failure
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Frank Beekmann, Martin Konrad, Nicola Jeck, Irina Maier-Lutz, Maria J. Schürmann, Delphine Feldmann, David V. Milford, Andrea Fekete, Andreas Kispert, Heymut Omran, Ralf Sudbrak, Ralf Birkenhäger, Eva Maria Ruf, Corinne Antignac, Edgar A. Otto, Nine V A M Knoers, Friedhelm Hildebrandt, Daniel Landau, and Martin Vollmer
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Male ,medicine.medical_specialty ,Positional cloning ,Hearing Loss, Sensorineural ,Elucidation of hereditary disorders and their molecular diagnosis ,DNA Mutational Analysis ,Molecular Sequence Data ,Locus (genetics) ,Bartter syndrome ,Kidney ,Mice ,Chloride Channels ,Internal medicine ,Prenatal Diagnosis ,Genetics ,medicine ,Animals ,Humans ,RNA, Messenger ,Renal Insufficiency ,Cloning, Molecular ,Loss function ,In Situ Hybridization ,Polymorphism, Single-Stranded Conformational ,CLCNKB ,biology ,Gene Expression Profiling ,Kidney metabolism ,Bartter Syndrome ,Membrane Proteins ,Exons ,medicine.disease ,Physical Chromosome Mapping ,Phenotype ,medicine.anatomical_structure ,Endocrinology ,Haplotypes ,Chromosomes, Human, Pair 1 ,Mutation ,biology.protein ,Female ,Opheldering van erfelijke ziekten en hun moleculaire diagnostiek - Abstract
Item does not contain fulltext Antenatal Bartter syndrome (aBS) comprises a heterogeneous group of autosomal recessive salt-losing nephropathies. Identification of three genes that code for renal transporters and channels as responsible for aBS has resulted in new insights into renal salt handling, diuretic action and blood-pressure regulation. A gene locus of a fourth variant of aBS called BSND, which in contrast to the other forms is associated with sensorineural deafness (SND) and renal failure, has been mapped to chromosome 1p. We report here the identification by positional cloning, in a region not covered by the human genome sequencing projects, of a new gene, BSND, as the cause of BSND. We examined ten families with BSND and detected seven different mutations in BSND that probably result in loss of function. In accordance with the phenotype, BSND is expressed in the thin limb and the thick ascending limb of the loop of Henle in the kidney and in the dark cells of the inner ear. The gene encodes a hitherto unknown protein with two putative transmembrane alpha-helices and thus might function as a regulator for ion-transport proteins involved in aBS, or else as a new transporter or channel itself.
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- 2001
23. IT Future of Medicine: from molecular analysis to clinical diagnosis and improved treatment
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Ralf Sudbrak, Babette Regierer, Valeria Zazzu, Hans Lehrach, and Alexander Kuhn
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Emerging technologies ,Bioengineering ,Biology ,Field (computer science) ,03 medical and health sciences ,User-Computer Interface ,0302 clinical medicine ,Virtual patient ,Neoplasms ,Health care ,Humans ,Precision Medicine ,Molecular Biology ,030304 developmental biology ,0303 health sciences ,Computational model ,business.industry ,Computational Biology ,High-Throughput Nucleotide Sequencing ,General Medicine ,Epigenome ,Data science ,3. Good health ,Biotechnology ,Information and Communications Technology ,Pharmacogenetics ,030220 oncology & carcinogenesis ,Clinical diagnosis ,business - Abstract
The IT Future of Medicine (ITFoM, http://www.itfom.eu/ ) initiative will produce computational models of individuals to enable the prediction of their future health risks, progression of diseases and selection and efficacy of treatments while minimising side effects. To be able to move our health care system to treat patients as individuals rather than as members of larger, divergent groups, the ITFoM initiative, proposes to integrate molecular, physiological and anatomical data of every person in ‘virtual patient’ models. The establishment of such ‘virtual patient’ models is now possible due to the enormous progress in analytical techniques, particularly in the ‘-omics’ technology areas and in imaging, as well as in sensor technologies, but also due to the immense developments in the ICT field. As one of six Future and Emerging Technologies (FET) Flagship Pilot Projects funded by the European Commission, ITFoM with more than 150 academic and industrial partners from 34 countries, will foster the development in functional genomics and computer technologies to generate ‘virtual patient’ models to make them available for clinical application. The increase in the capacity of next generation sequencing systems will enable the high-throughput analysis of a large number of individuals generating huge amounts of genome, epigenome and transcriptome data, but making it feasible to apply deep sequencing in the clinic to characterise not only the patient's genome, but also individual samples, for example, from tumours. The genome profile will be integrated with proteome and metabolome information generated via new powerful chromatography, mass spectrometry and nuclear magnetic resonance techniques. The individualised model will not only enable the analysis of the current situation, but will allow the prediction of the response of the patient to different therapy options or intolerance for certain drugs.
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- 2013
24. Future of medicine: models in predictive diagnostics and personalized medicine
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Babette, Regierer, Valeria, Zazzu, Ralf, Sudbrak, Alexander, Kühn, and Hans, Lehrach
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Humans ,Pathology, Molecular ,Precision Medicine ,Delivery of Health Care - Abstract
Molecular medicine is undergoing fundamental changes driving the whole area towards a revolution in modern medicine. The breakthrough was generated the fast-developing technologies in molecular biology since the first draft sequence of the human genome was published. The technological advances enabled the analysis of biological samples from cells and organs to whole organisms in a depth that was not possible before. These technologies are increasingly implemented in the medical and health care system to study diseases and refine diagnostics. As a consequence, the understanding of diseases and the health status of an individual patient is now based on an enormous amount of data that can only be interpreted in the context of the body as a whole. Systems biology as a new field in the life sciences develops new approaches for data integration and interpretation. Systems medicine as a specialized aspect of systems biology combines in an interdisciplinary approach all expertise necessary to decipher the human body in all its complexity. This created new challenges in the area of information and communication technologies to provide the infrastructure and technology needed to cope with the data flood that will accompany the next generation of medicine. The new initiative 'IT Future of Medicine' aims at driving this development even further and integrates not only molecular data (especially genomic information), but also anatomical, physiological, environmental, and lifestyle data in a predictive model approach-the 'virtual patient'-that will allow the clinician or the general practitioner to predict and anticipate the optimal treatment for the individual patient. The application of the virtual patient model will allow truly personalized medicine.
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- 2013
25. Functional Dynamics: From Biological Complexity to Translation and Impact in Healthcare Systems
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Angela Br, Jonathan A. Lal, Ralf Sudbrak, and Hans Lehrach
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Public health genomics ,Exposome ,Risk analysis (engineering) ,Virtual patient ,business.industry ,Best practice ,Health care ,Personalized medicine ,business ,Bioinformatics ,Health impact assessment ,Health policy - Abstract
Biological complexity at a molecular and physiological level is dynamically translucent and requires a systemwide computational approach to possibly elucidate underlying mechanisms for medical and public health applications. Functional dynamics is ideal to study molecular functions given biological functions are dependent on the dynamic nature of networks it operates within. However, environmental factors significantly affect the molecular dynamics in biology, which still needs to be incorporated in study of functions for medical applicability. Through technological innovation medicine is seeing a potential shift in demand for personalized interventions, which has not been fully realized yet. Also the applicability of functional dynamics’ utility seems not visible in healthcare systems. This article addresses the above mentioned issues, challenges in translation/implementation using the example of the “virtual patient” developed through the pilot EU flagship project ICT Future of Medicine, and provides possible solutions and insights of new and existing scientific data, infrastructures and frameworks like the Learning-Adapting-Leveling model to make it feasible including policy-wise by incorporating best practice guidelines developed through the Public Health Genomics European Network and tries to touch upon its consequential impact. As a result, we see that real time integration in healthcare requires early-on involvement of all stakeholders as well as taking into account health policy issues, which is addressed by the proposed Learning-Adapting-Leveling model and the best practice guidelines. Furthermore, environmental factors and exposome properties need to be taken into consideration, which the pilot ICT Future of Medicine has been taken into account. We now possibly see a shift from stratified medicine through personalized medicine and possibly towards individualized medicine. This coupling of the pilot project ICT Future of Medicine by integrating the Learning-Adapting-Leveling model to resolve real-time integration issues and considering policy-wise the best practice guidelines has set the stage for it to potentially revolutionize the healthcare system as a whole.
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- 2013
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26. Future of Medicine: Models in Predictive Diagnostics and Personalized Medicine
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Babette Regierer, Hans Lehrach, Ralf Sudbrak, Alexander Kuhn, and Valeria Zazzu
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Systems medicine ,Modern medicine ,Virtual patient ,business.industry ,Systems biology ,MEDLINE ,DECIPHER ,Context (language use) ,Personalized medicine ,Biology ,business ,Data science ,Biotechnology - Abstract
Molecular medicine is undergoing fundamental changes driving the whole area towards a revolution in modern medicine. The breakthrough was generated the fast-developing technologies in molecular biology since the first draft sequence of the human genome was published. The technological advances enabled the analysis of biological samples from cells and organs to whole organisms in a depth that was not possible before. These technologies are increasingly implemented in the medical and health care system to study diseases and refine diagnostics. As a consequence, the understanding of diseases and the health status of an individual patient is now based on an enormous amount of data that can only be interpreted in the context of the body as a whole. Systems biology as a new field in the life sciences develops new approaches for data integration and interpretation. Systems medicine as a specialized aspect of systems biology combines in an interdisciplinary approach all expertise necessary to decipher the human body in all its complexity. This created new challenges in the area of information and communication technologies to provide the infrastructure and technology needed to cope with the data flood that will accompany the next generation of medicine. The new initiative 'IT Future of Medicine' aims at driving this development even further and integrates not only molecular data (especially genomic information), but also anatomical, physiological, environmental, and lifestyle data in a predictive model approach-the 'virtual patient'-that will allow the clinician or the general practitioner to predict and anticipate the optimal treatment for the individual patient. The application of the virtual patient model will allow truly personalized medicine.
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- 2013
- Full Text
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27. Transcriptome and genome sequencing uncovers functional variation in humans
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Irina Pulyakhina, Stephen B. Montgomery, Xavier Estivill, Katja Kahlem, Gabrielle Bertier, Angel Carracedo, Matti Pirinen, Peter Donnelly, Stylianos E. Antonarakis, Hans Lehrach, Thomas Meitinger, Olof Karlberg, Marc R. Friedländer, Michael Sammeth, Stefan Schreiber, Gert-Jan B. van Ommen, Andrew Tikhonov, Helena Kilpinen, Thomas Giger, Manuel A. Rivas, Pedro G. Ferreira, Ralf Sudbrak, Daniela Esser, Robert Häsler, Roderic Guigó, Oliver Stegle, Thomas Wieland, Ann-Christine Syvänen, Maarten van Iterson, Tuuli Lappalainen, Jean Monlong, Philip Rosenstiel, Daniel G. MacArthur, Sergi Beltran, Monkol Lek, Henk P. J. Buermans, Marta Gut, Peter A C 't Hoen, Emmanouil T. Dermitzakis, Natalja Kurbatova, Liliana Greger, Thasso Griebel, Paolo Ribeca, Tim M. Strom, Marc Sultan, Vyacheslav Amstislavskiy, Thomas Schwarzmayr, Matthias Barann, Alvis Brazma, Halit Ongen, Jonas Carlsson Almlöf, Ivo Gut, Paul Flicek, Esther Lizano, Mark I. McCarthy, Mar Gonzàlez-Porta, and Ismael Padioleau
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Quantitative Trait Loci ,RNA, Messenger/analysis/genetics ,Computational biology ,Biology ,Genome ,Polymorphism, Single Nucleotide ,DNA sequencing ,Article ,Transcriptome ,03 medical and health sciences ,0302 clinical medicine ,Genetic variation ,Exons/genetics ,Humans ,ddc:576.5 ,RNA, Messenger ,1000 Genomes Project ,Gene ,Alleles ,030304 developmental biology ,Cell Line, Transformed ,Genetics ,0303 health sciences ,Multidisciplinary ,Genome, Human ,Sequence Analysis, RNA ,Gene Expression Profiling ,Genetic Variation ,High-Throughput Nucleotide Sequencing ,Exons ,Transcriptome/genetics ,Polymorphism, Single Nucleotide/genetics ,Human genetics ,Genetic Variation/genetics ,Genome, Human/genetics ,Human genome ,Quantitative Trait Loci/genetics ,030217 neurology & neurosurgery - Abstract
Genome sequencing projects are discovering millions of genetic variants in humans, and interpretation of their functional effects is essential for understanding the genetic basis of variation in human traits. Here we report sequencing and deep analysis of messenger RNA and microRNA from lymphoblastoid cell lines of 462 individuals from the 1000 Genomes Project - the first uniformly processed high-throughput RNA-sequencing data from multiple human populations with high-quality genome sequences. We discover extremely widespread genetic variation affecting the regulation of most genes, with transcript structure and expression level variation being equally common but genetically largely independent. Our characterization of causal regulatory variation sheds light on the cellular mechanisms of regulatory and loss-of-function variation, and allows us to infer putative causal variants for dozens of disease-associated loci. Altogether, this study provides a deep understanding of the cellular mechanisms of transcriptome variation and of the landscape of functional variants in the human genome. © 2013 Macmillan Publishers Limited. All rights reserved.
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- 2013
28. The 1000 Genomes Project: data management and community access
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Javier Herrero, Brendan Vaughan, Harold Swerdlow, Rajini Haraksingh, David Altshuler, Laura Clarke, Ryan Mills, Jin Yu, Daniel MacArthur, Tatiana Borodina, Stephen Sherry, Paul Flicek, Ralf Sudbrak, Loukas Moutsianas, Philip Rosenstiel, Eugene Kulesha, Klaudia Walter, Simon Myers, Jonathan Sebat, Rajesh Radhakrishnan, Aarno Palotie, William McLaren, Angie Hinrichs, Vadim Zalunin, Andrew Clark, Rasko Leinonen, Thomas Keane, Stephen Keenan, Andreas Dahl, and Xiangqun Zheng Bradley
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Data collection ,Genome, Human ,business.industry ,Data management ,Computational Biology ,Genetic Variation ,Genomics ,Sequence Analysis, DNA ,Cell Biology ,Computational biology ,Human genetic variation ,Variation (game tree) ,Biology ,Biochemistry ,Data science ,Article ,Data access ,Databases, Genetic ,Humans ,Human genome ,1000 Genomes Project ,business ,Molecular Biology ,Biotechnology - Abstract
The 1000 Genomes Project was launched as one of the largest distributed data collection and analysis projects ever undertaken in biology. In addition to the primary scientific goals of creating both a deep catalogue of human genetic variation and extensive methods to accurately discover and characterize variation using new sequencing technologies, the project makes all of its data publicly available for community use. The project data coordination center has developed and deployed several tools to enable widespread data access.
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- 2012
29. Public health perspective: from personalized medicine to personal health
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Ralf Sudbrak, Ben van Ommen, Núria Malats, Angela Brand, Hans Lehrach, Tomris Cesuroglu, and Science Communication
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medicine.medical_specialty ,Psychological intervention ,Physiology ,public health genomics ,Life ,Health care ,Medicine ,systems medicine ,Biology ,integrative approaches ,Pharmacology ,Public health genomics ,business.industry ,Public health ,personal health ,Opinion leadership ,General Medicine ,personalized medicine ,Data science ,Systems medicine ,MSB - Microbiology and Systems Biology ,Information and Communications Technology ,personalized healthcare ,Molecular Medicine ,Personalized medicine ,Healthy for Life ,EELS - Earth, Environmental and Life Sciences ,business ,P4 Medicine ,Healthy Living - Abstract
A gradual shift from a ‘one-size-fits-all’ strategy towards personalized interventions is observed in the whole spectrum of healthcare, including personalized prevention, diagnosis and therapy, and the concept of personal health. This shift is caused by two major drivers. The first one is a general societal trend towards ‘personalization’, where individuals demand services or products that are customized to their needs, possibilities and choices. The second driver is rapid scientific and technological advancements in genomebased science and technologies (which is a term that covers the full breadth of knowledge that is being amassed in all ’omics fields [1,2]), information, and information and communication technologies (ICT). The future paradigm in health and healthcare has become increasingly visible in the past 10–15 years and has been commonly defined as ‘personalized medicine’ although the exact definition varies among different stakeholders and opinion leaders. In the ongoing communications, the term personalized medicine comprises two separate and independent approaches. The first approach is based on biomarkers and statistical methods subdividing a heterogeneous group into smaller less heterogeneous groups leading to stratified medicine. The strat ification into smaller and smaller subgroups is limited by the statistical power, and may therefore, not incrementally lead to individualization. The other approach is based on ’omics and other data obtained from the individual in conjunction with computer modeling approaches leading to ‘individualized medicine’. ‘Personalized’ mostly refers to the use of genome-based information and technologies for providing more stratified (and possibly personalized) interventions. Some authors put the emphasis not only on medicine but on healthcare
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- 2012
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30. Mapping copy number variation by population-scale genome sequencing
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L. McDade, Eric D. Green, Aravinda Chakravarti, Susan Lindsay, Justin Paschall, Aylwyn Scally, Deborah A. Nickerson, Chip Stewart, Stephen T. Sherry, Chunlin Xiao, Alex Reynolds, Carol Scott, H. M. Khouri, Pardis C. Sabeti, Xinmeng Jasmine Mu, Stephen B. Montgomery, Eric Banks, Gabor T. Marth, A. Caprio, Xiaole Zheng, Philip Awadalla, Qunyuan Zhang, Wei Chen, Matthew N. Bainbridge, Donna Muzny, Steven A. McCarroll, Jeffrey M. Kidd, Honglong Wu, Audrey Duncanson, Vladimir Makarov, Lilia M. Iakoucheva, Mark Gerstein, Han-Jun Jin, Can Alkan, Iman Hajirasouliha, T. J. Fennell, C. R. Juenger, J. Kidd, Chris Tyler-Smith, Qasim Ayub, D. Ashworth, Kristian Cibulskis, Yutao Fu, William M. McLaren, Sol Katzman, Yujun Zhang, Rajini R Haraksingh, A. Kebbel, Stuart L. Schreiber, Manual Rivas, Onur Sakarya, Tobias Rausch, Yuan Chen, M. Bachorski, Matthew E. Hurles, N. C. Clemm, Wei Wang, Xiangqun Zheng-Bradley, Adrian M. Sütz, Thomas M. Keane, E. Bank, Stephen F. McLaughlin, Javier Herrero, Jon Keebler, Simon Myers, Aleksandr Morgulis, James Nemesh, Jing Leng, Molly Przeworski, Alon Keinan, Lorraine Toji, Ilya Shlyakhter, Joshua M. Korn, Martine Zilversmit, Luke Jostins, Jun Wang, Jared Maguire, J. M. Korn, Ryan E. Mills, Seungtai Yoon, Bo Wang, F. M. De La Vega, Heng Li, L. Guccione, Laura Clarke, Huisong Zheng, Jeffrey K. Ichikawa, K. Kao, Kirill Rotmistrovsky, L. Gu, David B. Jaffe, David Haussler, Toby Bloom, Tara Skelly, S. Yoon, Gil McVean, Carrie Sougnez, Mark A. Batzer, A. De Witte, Ralf Herwig, Jane Wilkinson, Min Hu, K. Pareja, John V. Pearson, Robert E. Handsaker, Jerilyn A. Walker, Fuli Yu, Anthony A. Philippakis, Aniko Sabo, Jonathan Marchini, Ryan D. Hernandez, Guoqing Li, Peter Donnelly, Eric S. Lander, David J. Dooling, Jun Ding, Lukas Habegger, Pilar N. Ossorio, Andreas Dahl, Wilfried Nietfeld, Miriam F. Moffatt, Alexej Abyzov, Sebastian Zöllner, Ekta Khurana, Jean E. McEwen, Robert S. Fulton, Alexey Soldatov, Fiona Hyland, Philippe Lacroute, Richa Agarwala, Paul Flicek, Weichun Huang, Alison J. Coffey, Tony Cox, John W. Wallis, Robert Sanders, David Neil Cooper, Jason P. Affourtit, Mark A. DePristo, D Wheeler, Christopher Celone, Eugene Kulesha, Craig Elder Mealmaker, B. Desany, Zhengdong D. Zhang, Jonathan M. Manning, Cynthia L. Turcotte, Lisa D Brooks, Xiuqing Zhang, C. Coafra, Rajesh Radhakrishnan, Alan J. Schafer, Jonathan Sebat, Ken Chen, Andrew G. Clark, Alexis Christoforides, Edward V. Ball, Mark S. Guyer, Sharon R. Grossman, Philip Rosenstiel, J. Knowlton, Gonçalo R. Abecasis, Min Jian, James O. Burton, S. Wang, Lucinda Murray, George M. Weinstock, Mark Lathrop, Harold Swerdlow, Michael L. Metzker, Xiaowei Zhan, Yeyang Su, Ruibang Luo, Charles Lee, Huanming Yang, P. Marquardt, Charles N. Rotimi, Lynne V. Nazareth, Michael Snyder, Faheem Niazi, Quan Long, Jane Kaye, Michael Strömberg, Adam Auton, Michael Bauer, Cheng-Sheng Lee, S. Gabriel, Jim Stalker, Heather E. Peckham, D. Conners, Raffaella Smith, Yingrui Li, Niall Anthony Gormley, Megan Hanna, Jinchuan Xing, Hugo Y. K. Lam, S. Giles, Evan E. Eichler, Justin Jee, Loukas Moutsianas, Jiang Du, Hyun Min Kang, Eric F. Tsung, Ni Huang, Kai Ye, Stephen F. Schaffner, Suleyman Cenk Sahinalp, Xinghua Shi, Sean Humphray, Ahmet Kurdoglu, Amy L. McGuire, Sandra J. Lee, Linnea Fulton, Francis S. Collins, Huiqing Liang, S. C. Melton, A. Nawrocki, Aaron R. Quinlan, Tatjana Borodina, Lynn B. Jorde, Leopold Parts, Michael D. McLellan, Adrian M. Stütz, Paul Scheet, Amit Indap, Vyacheslav Amstislavskiy, Waibhav Tembe, S. Attiya, Jin Yu, Dmitri Parkhomchuk, Si Quang Le, Fabian Grubert, E. Buglione, Ruiqiang Li, Yan Zhou, Fiona Cunningham, Gilean McVean, Wan-Ping Lee, W. Song, Richard Durbin, Andrew Kernytsky, Stephen M. Beckstrom-Sternberg, Xin Ma, J. Jeng, Lauren Ambrogio, Carol Churcher, Ryan Poplin, William O.C.M. Cookson, Rasko Leinonen, Alexey N. Davydov, Kenny Ye, Paige Anderson, Alexander E. Urban, Adam Felsenfeld, Jeffrey S. Reid, Cornelis A. Albers, Jan O. Korbel, Senduran Balasubramaniam, Elaine R. Mardis, Gozde Aksay, Peter H. Sudmant, Aaron McKenna, M. Labrecque, Amanda J. Price, Vadim Zalunin, Donald F. Conrad, Florian Mertes, Christie Kovar, Danny Challis, A. D. Ball, Petr Danecek, Kiran V. Garimella, Bryan Howie, Scott Kahn, Shuaishuai Tai, E. P. Garrison, Robert D. Bjornson, Shankar Balasubramanian, Fereydoun Hormozdiari, Geng Tian, S. Clark, Joanna L. Kelley, Asif T. Chinwalla, Ramenani Ravi K, Ralf Sudbrak, Mark Kaganovich, Jeffrey C. Barrett, David Rio Deiros, Jeremiah D. Degenhardt, A. Palotie, Alistair Ward, Gianna Costa, Huyen Dinh, M. Minderman, R. Keira Cheetham, Jingxiang Li, Michael A. Quail, P. Koko-Gonzales, Alastair Kent, Martin Shumway, David R. Bentley, Ferran Casals, Leena Peltonen, Klaudia Walter, Christopher Hartl, Erica Shefler, Zhaolei Zhang, Hans Lehrach, Jessica L. Peterson, Roger Winer, Daniel C. Koboldt, D. Riches, Terena James, Wen Fung Leong, Michael Egholm, Thomas W. Blackwell, Peter D. Stenson, Anthony J. Cox, Andrew D. Kern, David M. Carter, M. Tolzmann, Daniel G. MacArthur, Jiantao Wu, Jennifer Stone, Angie S. Hinrichs, M. Albrecht, Jo Knight, Chang-Yun Lin, Adam R. Boyko, Dan Turner, Xiaodong Fang, Youssef Idaghdour, Liming Liang, Ryan N. Gutenkunst, David Craig, Mark J. Daly, Xiaosen Guo, Neda Gharani, Gerton Lunter, Shuli Kang, A. Burke, Shripad Sinari, Yongming A. Sun, Zoya Kingsbury, Robert M. Kuhn, Miriam K. Konkel, T. Li, Kevin McKernan, Simon Gravel, Brian L. Browning, C Sidore, Zamin Iqbal, Matthew Mort, Afidalina Tumian, Michael C. Wendl, Adam Phillips, Bernd Timmermann, Carlos Bustamante, H. Y. Lam, Deniz Kural, Richard A. Gibbs, Bartha Maria Knoppers, Emmanouil T. Dermitzakis, Lon Phan, Richard K. Wilson, D. L. Altshuler, S. Keenen, Assya Abdallah, Eric A. Stone, Michael A. Eberle, Li Ding, and Broad Institute of MIT and Harvard
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DNA Copy Number Variations ,Genotype ,Population ,Genomic Structural Variation ,Genomics ,Computational biology ,Biology ,Genome ,Article ,DNA sequencing ,structural variation segmental duplications short-read rearrangements disorders disease common schizophrenia polymorphism insertions ,03 medical and health sciences ,0302 clinical medicine ,Gene Duplication ,Insertional ,Genetics ,Humans ,Genetic Predisposition to Disease ,Copy-number variation ,1000 Genomes Project ,education ,Sequence Deletion ,030304 developmental biology ,0303 health sciences ,education.field_of_study ,Multidisciplinary ,Genome, Human ,Reproducibility of Results ,Sequence Analysis, DNA ,DNA ,Mutagenesis, Insertional ,Genetics, Population ,Mutagenesis ,Human genome ,Sequence Analysis ,030217 neurology & neurosurgery ,Human - Abstract
Summary Genomic structural variants (SVs) are abundant in humans, differing from other variation classes in extent, origin, and functional impact. Despite progress in SV characterization, the nucleotide resolution architecture of most SVs remains unknown. We constructed a map of unbalanced SVs (i.e., copy number variants) based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations. Our map encompassed 22,025 deletions and 6,000 additional SVs, including insertions and tandem duplications. Most SVs (53%) were mapped to nucleotide resolution, which facilitated analyzing their origin and functional impact. We examined numerous whole and partial gene deletions with a genotyping approach and observed a depletion of gene disruptions amongst high frequency deletions. Furthermore, we observed differences in the size spectra of SVs originating from distinct formation mechanisms, and constructed a map constructed a map of SV hotspots formed by common mechanisms. Our analytical framework and SV map serves as a resource for sequencing-based association studies.
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- 2011
31. Diversity of human copy number variation and multicopy genes
- Author
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Javier Herrero, Harold Swerdlow, Michael Eberle, Alexej Abyzov, Kristian Cibulskis, Rajini Haraksingh, David Altshuler, Can Alkan, Laura Clarke, Ryan Mills, Richa Agarwala, David N. Cooper, Francesca Antonacci, Shankar Balasubramanian, Daniel MacArthur, Jesus Christ Aguinaga, Stephen Sherry, Jay Shendure, Ralf Sudbrak, Philip Rosenstiel, Eugene Kulesha, Klaudia Walter, Simon Myers, Jonathan Sebat, Ken Chen, Eric Stone, Peter Sudmant, Stephen Schaffner, Rajesh Radhakrishnan, MICHAEL MCLELLAN, William McLaren, Angie Hinrichs, Vadim Zalunin, Afidalina Tumian, Andrew Clark, Rasko Leinonen, Jacob Kitzman, Thomas Keane, Stephen Keenan, and Andreas Dahl
- Subjects
Male ,DNA Copy Number Variations ,Genotype ,Population ,Copy number analysis ,Gene Conversion ,Gene Dosage ,Biology ,Polymorphism, Single Nucleotide ,Article ,Evolution, Molecular ,Gene Frequency ,Genes, Duplicate ,Gene Duplication ,Gene family ,Humans ,Gene conversion ,Copy-number variation ,education ,Gene ,Genetics ,education.field_of_study ,Genetic diversity ,Multidisciplinary ,Genome, Human ,Racial Groups ,Chromosome Mapping ,Genetic Variation ,Genomics ,Sequence Analysis, DNA ,Haplotypes ,Human genome ,Female ,Databases, Nucleic Acid - Abstract
Evolution, Gene Number, and Disease Slight variations in the numbers of copies of genes influence human disease and other characters. Variants can be hard to detect when they lie in heavily duplicated and widely similar regions of sequence known as “dark matter.” Sudmant et al. (p. 641 ) have methods to tease apart the duplicated regions to reveal singly unique nucleotide identifiers. These have turned out to be among the most variable seen in different human population groups—most notably among genes for neurodevelopment and neurological diseases. Such polymorphisms can be genotyped with specificity and may help us understand how variation in copy number may affect human evolution and disease.
- Published
- 2010
32. DNAH5 mutations are a common cause of primary ciliary dyskinesia with outer dynein arm defects
- Author
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Thomas Nüsslein, Marcus P. Kennedy, Peadar G. Noone, Nada Hornef, Maimoona B Zariwala, Judit Horvath, Jean-Louis Blouin, Ralf Sudbrak, Peter Ahrens, Lucia Bartoloni, Richard Reinhardt, Heiner Kuhl, Heymut Omran, Heike Olbrich, Stylianos E. Antonarakis, Michael R. Knowles, Niki T. Loges, Manfred Fliegauf, Johannes H. Wildhaber, and Matthias Griese
- Subjects
Pulmonary and Respiratory Medicine ,Kartagener Syndrome/ genetics ,RNA Splicing ,Dynein ,DNA Mutational Analysis ,Mutation, Missense ,Fluorescent Antibody Technique ,Biology ,Critical Care and Intensive Care Medicine ,medicine.disease_cause ,Compound heterozygosity ,Dyneins/ genetics/ ultrastructure ,Frameshift mutation ,Dynein ATPase ,medicine ,otorhinolaryngologic diseases ,Humans ,A. Airway Biology ,Primary ciliary dyskinesia ,Genetics ,ddc:616 ,Mutation ,Kartagener Syndrome ,Reverse Transcriptase Polymerase Chain Reaction ,Cilium ,Dyneins ,Axonemal Dyneins ,medicine.disease ,Phenotype ,Haplotypes ,Outer dynein arm - Abstract
Rationale: Primary ciliary dyskinesia (PCD) is characterized by recurrent airway infections and randomization of left–right body asymmetry. To date, autosomal recessive mutations have only been identified in a small number of patients involving DNAI1 and DNAH5, which encode outer dynein arm components. Methods: We screened 109 white PCD families originating from Europe and North America for presence of DNAH5 mutations by haplotype analyses and/or sequencing. Results: Haplotype analyses excluded linkage in 26 families. In 30 PCD families, we identified 33 novel (12 nonsense, 8 frameshift, 5 splicing, and 8 missense mutations) and two known DNAH5 mutations. We observed clustering of mutations within five exons harboring 27 mutant alleles (52%) of the 52 detected mutant alleles. Interestingly, 6 (32%) of 19 PCD families with DNAH5 mutations from North America carry the novel founder mutation 10815delT. Electron microscopic analyses in 22 patients with PCD with mutations invariably detected outer dynein arm ciliary defects. High-resolution immunofluorescence imaging of respiratory epithelial cells from eight patients with DNAH5 mutations showed mislocalization of mutant DNAH5 and accumulation at the microtubule organizing centers. Mutant DNAH5 was absent throughout the ciliary axoneme in seven patients and remained detectable in the proximal ciliary axoneme in one patient carrying compound heterozygous splicing mutations at the 3′-end (IVS75-2A>T, IVS76+5G>A). In a preselected subpopulation with documented outer dynein arm defects (n = 47), DNAH5 mutations were identified in 53% of patients. Conclusions: DNAH5 is frequently mutated in patients with PCD exhibiting outer dynein arm defects and mutations cluster in five exons.
- Published
- 2006
33. Human adolescent nephronophthisis: Gene locus synteny with polycystic kidney disease in pcy mice
- Author
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Karsten Häffner, Susanne Schnittger, David D. L. Woo, Hans Lehrach, Matthias Brandis, Bernardo Fargier, Hans Gerd Nothwang, Ralf Sudbrak, Heymut Omran, Friedhelm Hildebrandt, Suse Burth, Carmen Fernandez, and Aminta Villaquiran
- Subjects
Adult ,Male ,TRPP Cation Channels ,Adolescent ,Locus (genetics) ,Chromosome 9 ,Biology ,Cystic kidney disease ,Mice ,Escuela de Medicina ,Species Specificity ,Medicina y Salud ,Nephronophthisis ,Facultad de Medicina ,medicine ,Polycystic kidney disease ,Animals ,Humans ,Age of Onset ,Child ,Chromosomes, Artificial, Yeast ,In Situ Hybridization, Fluorescence ,Synteny ,Polycystic Kidney, Autosomal Recessive ,Genetics ,Proteins ,Artículos ,General Medicine ,medicine.disease ,Disease gene identification ,Physical Chromosome Mapping ,Mice, Mutant Strains ,Phenotype ,Renal pathology ,Nephrology ,Female ,Chromosomes, Human, Pair 3 - Abstract
Human adolescent nephronophthisis: Gene locus synteny with polycystic kidney disease in pcy mice Omran, Heymut; Häffner, Karsten; Burth, Suse; Fernandez, Carmen; Fargier, Bernardo; Villaquiran, Aminta; Nothwang, Hans-Gerd; Schnittger, Susanne; Lehrach, Hans; Woo, David; Brandis, Matthias; Sudbrak, Ralf and Hildebrandt, Friedhelm Abstract In a large Venezuelan kindred, a new type of nephronophthisis was recently identified: Adolescent nephronophthisis (NPH3) is a late-onset recessive renal cystic disorder of the nephronophthisis/medullary cystic group of diseases causing end-stage renal disease at a median age of 19 yr. With the use of a homozygosity mapping strategy, the gene (NPHP3) was previously localized to chromosome 3q22 within a critical interval of 2.4 cM. In the current study, the NPHP3 genetic region was cloned and seven genes, eight expressed sequence-tagged sites, and seven microsatellites were physically localized within the critical disease interval. By humanmouse synteny analysis based on expressed genes, synteny between the human NPHP3 locus on chromosome 3q and the pcy locus on mouse chromosome 9 was clearly demonstrated, thus providing the first evidence of synteny between a human and a spontaneous murine renal cystic disease. By fluorescence in situ hybridization the chromosomal assignment of NPHP3 to chromosome 3q21-q22 was refined. Renal pathology in NPH3 was found to consist of tubular basement membranes changes, tubular atrophy and dilation, and sclerosing tubulointerstitial nephropathy. This pathology clearly resembled findings observed in the recessive pcy mouse model of late-onset polycystic kidney disease. In analogy to pcy, renal cyst development at the corticomedullary junction was found to be an early sign of the disease. Through cloning of the NPH3 critical region and mapping of expressed genes, synteny between human NPH3 and murine pcy was established, thus generating the hypothesis that both diseases are caused by recessive mutations of homologous genes. Artículo Publicado en: Journal of the American Society of Nephrology. J Am Soc Nephrol 12: 107-113, 2001 Copyright © 2001 by the American Society of Nephrology. aminta@ula.ve bernardofargier@hotmail.com Nivel monográfico
- Published
- 2005
34. RNomics Analysis of novel in silico derived non-protein coding RNAs in the human genome
- Author
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Hans Lehrach, Michal Janitz, Jürgen Brosius, Steffen Hennig, Chenna R. Galiveti, Ralf Sudbrak, Zoltán Konthur, and James Adjaye
- Subjects
Protein coding ,In silico ,Human genome ,Computational biology ,Biology ,ENCODE ,Bioinformatics - Published
- 2005
- Full Text
- View/download PDF
35. Analysis of Genetic Variability in Human Populations
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Heymut Omran, Silvia Schmoger, Janina Thiel, Bernd Timmermann, Richard Reinhardt, Ralf Sudbrak, Sven Klages, Bettina Moser, and K. Borzym
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Evolutionary biology ,Genetic variability ,Biology - Published
- 2005
- Full Text
- View/download PDF
36. DNA sequence and comparative analysis of chimpanzee chromosome 22
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Ines Hellmann, S. H. Choi, Z. Chen, G.-F. Zhu, Hideki Noguchi, Hans Lehrach, K.-M. Wu, G. Fu, G.-P. Zhao, Atsushi Toyoda, S.-X. Ren, Richard Reinhardt, H.-J. Zheng, Todd D. Taylor, Matthias Platzer, Hidemi Watanabe, Y. Sakaki, Kwang-Jen Hsiao, X.-L. Zhang, Masahira Hattori, Yongseok Lee, Naruya Saitou, T.-T. Liu, Michael Kube, Svante Pääbo, S. Taenzer, Philipp Khaitovich, J.-E. Cheong, B.-F. Wang, Alia Benkahla, Gabriele Nordsiek, S.-Y. Wang, Choong-Gon Kim, Satoshi Oota, M. Scharfe, Asao Fujiyama, Ralf Sudbrak, Takashi Kitano, Marie-Laure Yaspo, Yoko Kuroki, P. Galgoczy, H. Blöcker, Yuji Kohara, Shih-Feng Tsai, and Hong Seog Park
- Subjects
Pan troglodytes ,Retroelements ,Chromosomes, Human, Pair 21 ,Genomics ,Retrotransposon ,Biology ,Polymorphism, Single Nucleotide ,DNA sequencing ,Chimpanzee genome project ,Evolution, Molecular ,Animals ,Humans ,Promoter Regions, Genetic ,Gene ,Phylogeny ,Repetitive Sequences, Nucleic Acid ,Genetics ,Multidisciplinary ,Gene Expression Profiling ,Physical Chromosome Mapping ,Sequence Analysis, DNA ,Chromosomes, Mammalian ,Genes ,Mutagenesis ,Chromosome 21 ,Chromosome 22 - Abstract
Human-chimpanzee comparative genome research is essential for narrowing down genetic changes involved in the acquisition of unique human features, such as highly developed cognitive functions, bipedalism or the use of complex language. Here, we report the high-quality DNA sequence of 33.3 megabases of chimpanzee chromosome 22. By comparing the whole sequence with the human counterpart, chromosome 21, we found that 1.44% of the chromosome consists of single-base substitutions in addition to nearly 68,000 insertions or deletions. These differences are sufficient to generate changes in most of the proteins. Indeed, 83% of the 231 coding sequences, including functionally important genes, show differences at the amino acid sequence level. Furthermore, we demonstrate different expansion of particular subfamilies of retrotransposons between the lineages, suggesting different impacts of retrotranspositions on human and chimpanzee evolution. The genomic changes after speciation and their biological consequences seem more complex than originally hypothesized.
- Published
- 2004
37. Plasticity of human chromosome 3 during primate evolution
- Author
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Thomas Haaf, Ralf Sudbrak, Ulrike Hänsel, Enkhjargal Tsend-Ayush, Frank Grützner, Ying Yue, and Bärbel Grossmann
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Genetics ,Gene Rearrangement ,Lineage (genetic) ,Chromosome ,Chromosome Mapping ,Chromosome Breakage ,Gene rearrangement ,Haplorhini ,Biology ,Synteny ,Evolution, Molecular ,Chromosome 3 ,Evolutionary biology ,Gene Duplication ,Animals ,Humans ,Chromosomes, Artificial ,Chromosomes, Human, Pair 3 ,Chromosome 21 ,Chromosome 12 ,Phylogeny ,Chromosomal inversion - Abstract
Comparative mapping of more than 100 region-specific clones from human chromosome 3 in Bornean and Sumatran orangutans, siamang gibbon, and Old and New World monkeys allowed us to reconstruct ancestral simian and hominoid chromosomes. A single paracentric inversion derives chromosome 1 of the Old World monkey Presbytis cristata from the simian ancestor. In the New World monkey Callithrix geoffroyi and siamang, the ancestor diverged on multiple chromosomes, through utilizing different breakpoints. One shared and two independent inversions derive Bornean orangutan 2 and human 3, implying that neither Bornean orangutans nor humans have conserved the ancestral chromosome form. The inversions, fissions, and translocations in the five species analyzed involve at least 14 different evolutionary breakpoints along the entire length of human 3; however, particular regions appear to be more susceptible to chromosome reshuffling. The ancestral pericentromeric region has promoted both large-scale and micro-rearrangements. Small segments homologous to human 3q11.2 and 3q21.2 were repositioned intrachromosomally independent of the surrounding markers in the orangutan lineage. Breakage and rearrangement of the human 3p12.3 region were associated with extensive intragenomic duplications at multiple orangutan and gibbon subtelomeric sites. We propose that new chromosomes and genomes arise through large-scale rearrangements of evolutionarily conserved genomic building blocks and additional duplication, amplification, and/or repositioning of inherently unstable smaller DNA segments contained within them.
- Published
- 2004
38. Mutations in a novel gene, NPHP3, cause adolescent nephronophthisis, tapeto-retinal degeneration and hepatic fibrosis
- Author
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Richard Reinhardt, Julia Hoefele, Norbert Gretz, Heymut Omran, Bernhard Schermer, Corinne Antignac, Andreas Volz, Andreas Kispert, Manfred Fliegauf, Gürsel Sasmaz, Heike Olbrich, Gerd Walz, Friedhelm Hildebrandt, Ute Trauer, Thomas Benzing, Edgar A. Otto, Matthias T.F. Wolf, and Ralf Sudbrak
- Subjects
Retinal degeneration ,Adult ,Liver Cirrhosis ,Male ,Pathology ,medicine.medical_specialty ,DNA, Complementary ,Adolescent ,Molecular Sequence Data ,Biology ,Senior–Løken syndrome ,Transfection ,Cell Line ,Mice ,Nephronophthisis ,Genetics ,Polycystic kidney disease ,medicine ,Missense mutation ,Animals ,Humans ,Child ,Adaptor Proteins, Signal Transducing ,Polycystic Kidney, Autosomal Recessive ,Cystic kidney ,Cerebellar ataxia ,Membrane Proteins ,Proteins ,Kidney Diseases, Cystic ,medicine.disease ,Recombinant Proteins ,Cytoskeletal Proteins ,Mutation ,Female ,medicine.symptom ,Hepatic fibrosis ,Retinitis Pigmentosa - Abstract
Nephronophthisis (NPHP), a group of autosomal recessive cystic kidney disorders, is the most common genetic cause of progressive renal failure in children and young adults. NPHP may be associated with Leber congenital amaurosis, tapeto-retinal degeneration, cerebellar ataxia, cone-shaped epiphyses, congenital oculomotor apraxia and hepatic fibrosis. Loci associated with an infantile type of NPHP on 9q22-q31 (NPHP2), juvenile types of NPHP on chromosomes 2q12-q13 (NPHP1) and 1p36 (NPHP4) and an adolescent type of NPHP on 3q21-q22 (NPHP3) have been mapped. NPHP1 and NPHP4 have been identified, and interaction of the respective encoded proteins nephrocystin and nephrocystin-4 has been shown. Here we report the identification of NPHP3, encoding a novel 1,330-amino acid protein that interacts with nephrocystin. We describe mutations in NPHP3 in families with isolated NPHP and in families with NPHP with associated hepatic fibrosis or tapeto-retinal degeneration. We show that the mouse ortholog Nphp3 is expressed in the node, kidney tubules, retina, respiratory epithelium, liver, biliary tract and neural tissues. In addition, we show that a homozygous missense mutation in Nphp3 is probably responsible for the polycystic kidney disease (pcy) mouse phenotype. Interventional studies in the pcy mouse have shown beneficial effects by modification of protein intake and administration of methylprednisolone, suggesting therapeutic strategies for treating individuals with NPHP3.
- Published
- 2003
39. Gene for integrin-associated protein (IAP, CD47): physical mapping, genomic structure, and expression studies in skeletal muscle
- Author
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J. Schickel, Katharina Stahn, Michael Kiehntopf, Ralf Sudbrak, Matthias Dürst, Thomas Deufel, Klaus-Peter Zimmer, and Tim M. Størm
- Subjects
Euchromatin ,Molecular Sequence Data ,Gene Expression ,CD47 Antigen ,Biology ,Biochemistry ,Antigens, CD ,medicine ,Humans ,Amino Acid Sequence ,Muscle, Skeletal ,Molecular Biology ,Gene ,Genomic organization ,Binding Sites ,Contig ,CD47 ,Alternative splicing ,Skeletal muscle ,Antibodies, Monoclonal ,Cell Biology ,Exons ,Physical Chromosome Mapping ,Molecular biology ,Introns ,Alternative Splicing ,medicine.anatomical_structure ,Chromosomes, Human, Pair 3 ,ITGA7 ,Carrier Proteins ,Subcellular Fractions - Abstract
Integrin-associated protein (IAP) is a widely expressed membrane protein with multiple functions in immunological and neuronal processes. Having physically mapped the IAP gene into a BAC/PAC contig covering approximately 1 Mb on human chromosome 3q13.1-q13.2, we determined the genomic organization of the gene, established its expression in skeletal muscle, and identified a novel splice variant. Our expression studies demonstrate expression of integrin-associated protein in the t-tubular system and the euchromatin of skeletal muscle cells where its function thus far is not known.Key words: integrin-associated protein, novel splice form, expression and subcellular localization in skeletal muscle, genomic organization.
- Published
- 2002
40. Hailey-Hailey disease: molecular and clinical characterization of novel mutations in the ATP2C1 gene
- Author
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Joanna Brown, Carol Dobson-Stone, Ralf Sudbrak, M.A.K.L. Dissanayake, Anthony P. Monaco, Alain Hovnanian, R.J. Fairclough, Eimear Dunne, Colin S. Munro, Susan Burge, and Tom Strachan
- Subjects
Genotype ,Pemphigus, Benign Familial ,Mutation, Missense ,Calcium-Transporting ATPases ,Dermatology ,Biology ,genotype-phenotype correlation ,medicine.disease_cause ,Biochemistry ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,Genotype-phenotype distinction ,medicine ,Humans ,Missense mutation ,Molecular Biology ,Gene ,030304 developmental biology ,Genetics ,0303 health sciences ,Mutation ,Haplotype ,Infant, Newborn ,recurrent mutation ,Ca2+ transporting ATPase ,Cell Biology ,medicine.disease ,Phenotype ,3. Good health ,Haplotypes ,Codon, Nonsense ,Hailey–Hailey disease ,familial benign chronic pemphigus ,DNA Transposable Elements ,RNA Splice Sites ,Gene Deletion - Abstract
Hailey-Hailey disease is an autosomal dominant skin disorder characterized by suprabasal cell separation (acantholysis) of the epidermis. Mutations in ATP2C1, the gene encoding a novel, P-type Ca2+-transport ATPase, were recently found to cause Hailey-Hailey disease. In this study, we used conformation-sensitive gel electrophoresis to screen all 28 translated exons of ATP2C1 in 24 Hailey-Hailey disease families and three sporadic cases with the disorder. We identified 22 different mutations, 18 of which have not previously been reported, in 25 probands. The novel mutations comprise three nonsense, six insertion/deletion, three splice-site, and six missense mutations and are distributed throughout the ATP2C1 gene. Six mutations were found in multiple families investigated here or in our previous study. Haplotype analysis revealed that two of these are recurrent mutations that have not been inherited from a common ancestor. Comparison between genotype and phenotype in 23 families failed to yield any clear correlation between the nature of the mutation and clinical features of Hailey-Hailey disease. The extensive interfamilial and intrafamilial phenotypic variability observed suggests that modifying genes and/or environmental factors may greatly influence the clinical features of this disease.
- Published
- 2002
41. Physical mapping of the major histocompatibility complex class II and class III regions of the rat
- Author
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Heinz Himmelbauer, Eberhard Günther, Peter Peter Hurt, Ralf Sudbrak, and Lutz Walter
- Subjects
Immunology ,Genes, MHC Class II ,Molecular Sequence Data ,Class iii ,Biology ,Major histocompatibility complex ,Major Histocompatibility Complex ,03 medical and health sciences ,Mice ,0302 clinical medicine ,Species Specificity ,Histocompatibility Antigens ,Rats, Inbred BN ,Genetics ,Animals ,Humans ,Chromosomes, Artificial ,Gene ,Phylogeny ,030304 developmental biology ,0303 health sciences ,Major Histocompatibility Complex Class II ,Contig ,Base Sequence ,Haplotype ,food and beverages ,Chromosome ,Chromosome Mapping ,Human genetics ,Rats ,biology.protein ,030215 immunology - Abstract
A contig of overlapping bacterial and P1-derived artificial chromosome (BAC, PAC) clones derived from the inbred rat strain BN was constructed that encompasses the class II and the class III regions of the rat MHC (RT1 complex). The genomic structure of the rat, human, and mouse class II and class III regions is highly similar. However, different from human and mouse, a copy of the C4, Cyp21, and Stk19 genes is found that maps to the class II region in the rat. Gene trees constructed from human, rat, and mouse C4, Cyp21, and Stk19 sequences show species-specific clustering of the duplicated genes. The class II/III contig reported here links two previously published PAC contigs of the BN rat that contain the centromeric and the telomeric class I regions, RT1-A and RT1-C/E/M, respectively. Thus, the MHC of the rat is now completely mapped in a single contig of BAC/PAC clones derived from a single RT1 haplotype and encompasses about 3.7 Mb.
- Published
- 2002
42. ACRC codes for a novel nuclear protein with unusual acidic repeat tract and maps to DYT3 (dystonia parkinsonism) critical interval in xq13.1
- Author
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Dagmar Nolte, Juliane Ramser, Ralf Sudbrak, Hans Lehrach, Ulrich Müller, and Stephan Niemann
- Subjects
X Chromosome ,Amino Acids, Acidic ,DNA Mutational Analysis ,Molecular Sequence Data ,Locus (genetics) ,Biology ,Cellular and Molecular Neuroscience ,Exon ,Parkinsonian Disorders ,Genetics ,Humans ,Amino Acid Sequence ,Nuclear protein ,Cloning, Molecular ,Gene ,Peptide sequence ,Genetics (clinical) ,X chromosome ,DNA Primers ,Repetitive Sequences, Nucleic Acid ,Base Sequence ,Intron ,Nuclear Proteins ,Dystonia ,Mutation testing - Abstract
We searched for novel genes as candidates of X-linked dystonia parkinsonism (XDP) in the critical interval of Xq13.1 that harbors the disease locus (DYT3). A gene, ACRC (acidic repeat containing), was discovered by a combination of in silico and "wet" experiments. ACRC is composed of at least 12 exons and 11 introns. It is expressed in all tissues tested, including skeletal muscle, liver, kidney, pancreas, heart, lung, and brain. Highest levels of expression are found in skeletal muscle. The ACRC protein is characterized by a previously undescribed acidic repeat tract of 21 units of 8–10 amino acids. The N-terminal portion of the protein is highly acidic (pI=3.2), and the C-terminal region is basic (pI=10.2). There are nuclear localization signals in its C-terminal portion. Extensive mutation analysis of the transcribed region of the gene, including intron-exon boundaries and the 5' and 3' untranslated intervals, did not reveal a mutation in XDP patients. Exclusion of a mutation in the transcribed portion of this and all other known genes within the DYT3 critical interval suggests that XDP is most likely caused by a mutation in a regulatory region of a gene within the critical interval, or by a structural rearrangement.
- Published
- 2001
43. X chromosome-specific cDNA arrays: identification of genes that escape from X-inactivation and other applications
- Author
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Wolfgang Berger, Hans-Hilger Ropers, Fikret Erdogan, Ulrike A. Nuber, Wolfgang Mann, Vera M. Kalscheuer, Doris Wöhrle, Hans Lehrach, Carolyn J. Brown, Georg Wieczorek, Ralf Sudbrak, Peter Sterk, and Roland Kirchner
- Subjects
Male ,DNA, Complementary ,X Chromosome ,Biology ,Polymerase Chain Reaction ,X-inactivation ,Cell Line ,Sex Factors ,Complementary DNA ,Dosage Compensation, Genetic ,Gene expression ,Genetics ,Animals ,Humans ,Molecular Biology ,Gene ,Genetics (clinical) ,X chromosome ,Alleles ,Oligonucleotide Array Sequence Analysis ,Chromosome Aberrations ,Dosage compensation ,Reverse Transcriptase Polymerase Chain Reaction ,Gene Expression Profiling ,Nucleic Acid Hybridization ,General Medicine ,Gene rearrangement ,Molecular biology ,Rats ,Gene expression profiling ,Mutation ,Female - Abstract
Mutant alleles are frequently characterized by low expression levels. Therefore, cDNA array-based gene expression profiling may be a promising strategy for identifying gene defects underlying monogenic disorders. To study the potential of this approach, we have generated an X chromosome-specific microarray carrying 2423 cloned cDNA fragments, which represent up to 1317 different X-chromosomal genes. As a prelude to testing cell lines from patients with X-linked disorders, this array was used as a hybridization probe to compare gene expression profiles in lymphoblastoid cell lines from normal males, females and individuals with supernumerary X chromosomes. Measurable hybridization signals were obtained for more than half of the genes represented on the chip. A total of 53 genes showed elevated expression levels in cells with multiple X chromosomes and many of these were found to escape X-inactivation. Moreover, the detection of a male-viable deletion encompassing three genes illustrates the utility of this array for the identification of small unbalanced chromosome rearrangements.
- Published
- 2001
44. Incidental prenatal detection of an Xp deletion using an anonymous primer pair for fetal sexing
- Author
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Joachim Arnemann, Markus Stumm, Thomas Liehr, Hans Lehrach, Sibylle Jakubiczka, Ralf Sudbrak, Thomas Bettecken, Beate Mitulla, and Peter Wieacker
- Subjects
Yeast artificial chromosome ,Adult ,Male ,medicine.medical_specialty ,X Chromosome ,Genetic Linkage ,Locus (genetics) ,Prenatal diagnosis ,Sexing ,Biology ,Polymerase Chain Reaction ,Pregnancy ,Intellectual Disability ,Prenatal Diagnosis ,medicine ,Humans ,Genetics (clinical) ,X chromosome ,In Situ Hybridization, Fluorescence ,Southern blot ,DNA Primers ,Genetics ,Fetus ,Cytogenetics ,Obstetrics and Gynecology ,Sex Determination Processes ,Molecular biology ,Muscular Dystrophy, Duchenne ,Blotting, Southern ,Fetal Diseases ,Amniocentesis ,Female ,Gene Deletion ,Polymorphism, Restriction Fragment Length - Abstract
We report on the incidental prenatal detection of an interstitial X-chromosomal deletion in a male fetus and his mother by fetal sexing with a primer pair recognizing an X-Y homologous locus (DXYS19), formerly unassigned on the X chromosome. The proband asked for prenatal diagnosis because of her elevated age and risk of Duchenne muscular dystrophy (DMD). Prior to molecular genetic testing for DMD, fetal sexing was carried out on DNA prepared from cultured amniocytes. PCR analysis revealed the expected Y-chromosomal product, but did not show the constitutive X-chromosomal fragment. The absence of the X-chromosomal fragment in the fetus and on one X chromosome of the mother was confirmed by Southern hybridization of HindIII restricted DNA with probe pJA1165 (DXYS19). DXYS19X was mapped to Xp22.3 by combining several approaches, including: (1) analysis of somatic cell hybrid lines containing different fragments of the human X chromosome; (2) Southern hybridization of a yeast artificial chromosome (YAC)-filter panel provided by the Resource Center/Primary Database (RZPD); (3) FISH analysis; and (4) re-evaluation of two patients with interstitial deletions in Xp22.3. The extent of the deletion in the fetus was estimated by further markers from Xp22.3 and found to include the STS gene. Mental retardation could not be excluded since some mentally retarded patients exhibit overlapping deletions.
- Published
- 2000
45. Hailey-Hailey disease is caused by mutations in ATP2C1 encoding a novel Ca(2+) pump
- Author
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Carol Dobson-Stone, Jacqueline K. White, Marc Perrussel, Eugene Healy, Tom Strachan, Alain Hovnanian, Juliane Ramser, Anthony P. Monaco, Hans Lehrach, Joanna Brown, Marc Larrègue, Ralf Sudbrak, S. Carter, Colin S. Munro, M.A.K.L. Dissanayake, and Susan Burge
- Subjects
Genetic Markers ,Keratinocytes ,DNA, Complementary ,Positional cloning ,Genotype ,Pemphigus, Benign Familial ,Molecular Sequence Data ,Calcium-Transporting ATPases ,Biology ,Gene mapping ,Genetic linkage ,Genetics ,medicine ,Cell Adhesion ,Missense mutation ,Humans ,Keratosis follicularis ,Amino Acid Sequence ,Molecular Biology ,Genetics (clinical) ,In Situ Hybridization, Fluorescence ,Recombination, Genetic ,Splice site mutation ,Acantholysis ,General Medicine ,Exons ,medicine.disease ,Physical Chromosome Mapping ,Molecular biology ,Introns ,Pedigree ,Hailey–Hailey disease ,Mutation ,Chromosomes, Human, Pair 3 - Abstract
Hailey-Hailey disease (HHD) is an autosomal dominant skin disorder characterized by suprabasal cell separation (acantholysis) of the epidermis. Previous genetic linkage studies localized the gene to a 5 cM interval on human chromosome 3q21. After reducing the disease critical region to
- Published
- 2000
46. IXDB, an X chromosome integrated database (update)
- Author
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Ulf Leser, Hugues Roest Crollius, Ralf Sudbrak, and Hans Lehrach
- Subjects
Genetics ,Internet ,Information retrieval ,X Chromosome ,Databases, Factual ,Nomenclature Committee ,Chromosome Mapping ,Gene Expression ,Information Storage and Retrieval ,Biology ,Data mapping ,Schema (genetic algorithms) ,Expression data ,GenBank ,Terminology as Topic ,Integrated database ,Humans ,Physical mapping ,X chromosome ,Research Article - Abstract
Chromosome specific databases are an important research tool as they integrate data from different directions, such as genetic and physical mapping data, expression data, sequences etc. They supplement the genome-wide repositories in molecular biology, such as GenBank, Swiss-Prot or OMIM, which usually concentrate on one type of information. The Integrated X Chromosome Database (IXDB, http://ixdb.mpimg-berlin-dahlem.mpg.de/) is a repository for physical mapping data of the human X chromosome and aims at providing a global view of genomic data at a chromosomal level. We present here an update of IXDB which includes schema extensions for storing submaps and sequence information, additional links to external databases, and the integration of an increasing number of physical and transcript mapping data. The gene data was completely updated according to the approved gene symbols of the HUGO Nomenclature Committee. IXDB receives over 1000 queries per month, an indication that its content is valuable to researchers seeking mapping data of the human X chromosome.
- Published
- 1998
47. Mutations in DNAH5 cause primary ciliary dyskinesia and randomization of left–right asymmetry
- Author
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Maimoona A. Zariwala, Michael R. Knowles, Friedhelm Hildebrandt, Heike Olbrich, Alexander Völkel, Heymut Omran, Andreas Kispert, Hannah M. Mitchison, Ralf Sudbrak, Hans Lehrach, Nikolaus Konietzko, Richard Reinhardt, M Meeks, Eddie M. K. Chung, Peadar G. Noone, Gürsel Sasmaz, Andreas Volz, Steffen Hennig, and Karsten Häffner
- Subjects
Male ,medicine.medical_specialty ,Mucociliary clearance ,Biology ,Mice ,Internal medicine ,otorhinolaryngologic diseases ,Genetics ,medicine ,Animals ,Humans ,Cilia ,Body Patterning ,Primary ciliary dyskinesia ,Kartagener Syndrome ,Molecular Motor Proteins ,Cilium ,Dyneins ,Inner dynein arm ,Situs Inversus ,medicine.disease ,Situs inversus ,Endocrinology ,Mutation ,Ciliary Motility Disorders ,Female ,Outer dynein arm - Abstract
Primary ciliary dyskinesia (PCD, MIM 242650) is characterized by recurrent infections of the respiratory tract due to reduced mucociliary clearance and by sperm immobility. Half of the affected offspring have situs inversus (reversed organs), which results from randomization of left-right (LR) asymmetry. We previously localized to chromosome 5p a PCD locus containing DNAH5, which encodes a protein highly similar to the Chlamydomonas gamma-dynein heavy chain. Here we characterize the full-length 14-kb transcript of DNAH5. Sequence analysis in individuals with PCD with randomization of LR asymmetry identified mutations resulting in non-functional DNAH5 proteins.
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- 2002
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48. Exclusion of malignant hyperthermia susceptibility (MHS) from a putative MHS2 locus on chromosome 17q and of the alpha 1, beta 1, and gamma subunits of the dihydropyridine receptor calcium channel as candidates for the molecular defect
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Frank Lehmann-Horn, Astrid Golla, Kirk J. Hogan, Thomas Deufel, I.Du Chesne, Ronald G. Gregg, Patricia A. Powers, and Ralf Sudbrak
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Genetic Markers ,Male ,Calcium Channels, L-Type ,Molecular Sequence Data ,Muscle Proteins ,Locus (genetics) ,Biology ,Sodium Channels ,Beta-1 adrenergic receptor ,Gene mapping ,Genetic linkage ,Genetics ,medicine ,Humans ,Molecular Biology ,Genetics (clinical) ,Alleles ,Repetitive Sequences, Nucleic Acid ,RYR1 ,Polymorphism, Genetic ,Base Sequence ,Ryanodine receptor ,Malignant hyperthermia ,Skeletal muscle ,Chromosome Mapping ,General Medicine ,DNA ,medicine.disease ,Pedigree ,medicine.anatomical_structure ,Female ,Calcium Channels ,Malignant Hyperthermia ,Chromosomes, Human, Pair 17 - Abstract
Malignant hyperthermia (MH) is a potentially lethal pharmacogenetic disease with autosomal dominant inheritance triggered by exposure to commonly used inhalational anaesthetics or depolarising muscle relaxants. A MHS locus has been identified on human chromosome 19q12-q13.2 and the gene for the skeletal muscle calcium release channel of sarcoplasmic reticulum (ryanodine receptor) (RYR1) is considered a candidate for the molecular defect. However, MH has been shown to be genetically heterogeneous, and in the ensuing search for other MHS genes, a locus on chromosome 17q has been proposed, and the gene for the adult muscle sodium channel (SCN4A) was suggested as a candidate. We performed linkage studies using polymorphic microsatellite markers for subunits of the skeletal muscle dihydropyridine (DHP) receptor, CACNL1A3 mapped to chromosome 1q, as well as C-ACNLB1 and CACNLG, the latter two localised on chromosome 17q11.2-q24 in proximity to the proposed MHS2 and the SCN4A loci, and we also included markers for the loci D17S250, D17S579, NM23 (NME1), GH1, and SCN4A from that region. Our results exclude the alpha 1, beta 1 and gamma subunit of the DHP receptor as well as the SCN4A locus from that region. Our results exclude the alpha 1, beta 1, and gamma subunit of the DHP receptor as well as the SCN4A locus as candidates for the molecular defect in MHS for these pedigrees where also the RYR1 on chromosome 19q13.1 has been excluded. A multipoint analysis excludes the disease from the entire 84 cM interval containing the proposed MHS locus on chromosome 17q.(ABSTRACT TRUNCATED AT 250 WORDS)
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- 1993
49. Mutational analysis of the NPHP4 gene in 250 patients with nephronophthisis
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Edgar A. Otto, Massimo Attanasio, Julia Hoefele, John F. O'Toole, Richard Reinhardt, Ulla Muerb, Steffen Hennig, Silvia Lehrack, Friedhelm Hildebrandt, Boris Utsch, Ralf Sudbrak, and Anita Imm
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Adult ,Heterozygote ,Adolescent ,Cogan syndrome ,DNA Mutational Analysis ,Senior–Løken syndrome ,Biology ,medicine.disease_cause ,Compound heterozygosity ,Cystic kidney disease ,Nephronophthisis ,Retinitis pigmentosa ,Genotype ,Genetics ,medicine ,Humans ,Child ,Genetics (clinical) ,Mutation ,Proteins ,Exons ,Syndrome ,medicine.disease ,Kidney Diseases - Abstract
Nephronophthisis (NPH), a recessive cystic kidney disease, is the most frequent genetic cause for end-stage renal disease in the first two decades of life. Mutations in three genes (NPHP1, 2, and 3) were identified as causative. Extrarenal manifestations are known, such as retinitis pigmentosa (Senior-Loken syndrome, SLS) and ocular motor apraxia type Cogan. Recently, we identified a novel gene (NPHP4) as mutated in NPH. To date, a total of only 13 different NPHP4 mutations have been described. To determine the frequency of NPHP4 mutations, we performed mutational analysis by direct sequencing of all 30 NPHP4 exons in 250 different patients with isolated NPH, SLS, or Cogan syndrome ascertained worldwide over 14 years. We identified 23 novel NPHP4 sequence variants in 26/250 different patients (10%). Interestingly, we detected homozygous or compound heterozygous mutations of NPHP4 in only 6/250 different patients (2.4%), but only one heterozygous NPHP4 sequence variant in 20/250 different patients (8%). In the six patients with two NPHP4 mutations, 5/8 mutations (63%) were likely loss-of-function mutations, whereas in the 20 patients with only one sequence variant, only 1/20 (5%) was a likely loss-of-function (i.e., truncating) mutation. We conclude that: i) two recessive mutations in NPHP4 are a rare cause of nephronophthisis; ii) single heterozygous NPHP4 sequence variants are three times more prevalent than two recessive mutations; iii) there is no genotype/phenotype correlation; iv) there must exist further genes causing nephronophthisis, since in 224/250 (90%) patients, no sequence variants in either of the four NPH genes were detected. © 2005 Wiley-Liss, Inc.
50. Discordance, in a malignant hyperthermia pedigree, between in vitro contracture-test phenotypes and haplotypes for the MHS1 region on chromosome 19q12-13.2, comprising the C1840T transition in the RYR1 gene
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Thomas Deufel, Ralf Sudbrak, Feist Y, Rübsam B, Du Chesne I, Kl, Schäfer, Roewer N, Grimm T, Lehmann-Horn F, and Ej, Hartung
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