Genetic Basis of Hereditary Persistence Of
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An Integrated Platform to Systematically Identify Causal Variants 2 and Genes for Polygenic Human Traits
bioRxiv preprint doi: https://doi.org/10.1101/813618; this version posted January 15, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 An integrated platform to systematically identify causal variants 2 and genes for polygenic human traits. 3 Damien J. Downes1, Ron Schwessinger1,2,*, Stephanie J. Hill1,*, Lea Nussbaum1,*, Caroline 4 Scott1, Matthew E. Gosden1, Priscila P. Hirschfeld1, Jelena M. Telenius1,2, Chris Q. 5 Eijsbouts1,3,4, Simon J. McGowan2, Antony J. Cutler4,5, Jon Kerry1, Jessica L. Davies6, 6 Calliope A. Dendrou4,6, Jamie R.J. Inshaw5, Martin S.C. Larke1, A. Marieke Oudelaar1,2, 7 Yavor Bozhilov1, Andrew J. King1, Richard C. Brown2, Maria C. Suciu1, James O.J. Davies1, 8 Philip Hublitz7, Chris Fisher1, Ryo Kurita8, Yukio Nakamura9, Gerton Lunter2, Stephen 9 Taylor2, Veronica J. Buckle1, John A. Todd5, Douglas R. Higgs1, & Jim R. Hughes1,2,†. 10 11 * These authors contributed equally: Ron Schwessinger, Stephanie J. Hill, Lea Nussbaum. 12 13 † Corresponding author: [email protected] 14 15 Affiliations: 16 1 MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, 17 Radcliffe Department of Medicine, University of Oxford, Oxford, UK 18 2 MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of 19 Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, 20 UK -
BIOINFORMATICS ORIGINAL PAPER Doi:10.1093/Bioinformatics/Btl429
Vol. 22 no. 20 2006, pages 2475–2479 BIOINFORMATICS ORIGINAL PAPER doi:10.1093/bioinformatics/btl429 Sequence analysis A large quantity of novel human antisense transcripts detected by LongSAGE Xijin Ge1, Qingfa Wu1, Yong-Chul Jung1, Jun Chen1 and San Ming Wang1,2,Ã 1Center for Functional Genomics, Division of Medical Genetics, Department of Medicine, ENH Research Institute and 2Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, 1001 University Place, Evanston, IL 60201 USA Received on April 11, 2006; revised on July 5, 2006; accepted on August 1, 2006 Advance Access publication August 7, 2006 Associate Editor: Nikolaus Rajewsky ABSTRACT Lee et al., 2005). Therefore, the antisense transcripts identified from Motivation: Taking advantage of the high sensitivity and specificity of the currently known transcripts might not be comprehensive. LongSAGE tag for transcript detection and genome mapping, we ana- Exploring various transcript resources could identify more antisense lyzed the 632 813 unique human LongSAGE tags deposited in public transcripts present at low abundant levels. One of these transcript databases to identify novel human antisense transcripts. resources is the SAGE (serial analysis of gene expression; Results: Our study identified 45 321 tags that match the antisense Velculescu et al., 1995) data. SAGE collects short tags near the strand of 9804 known mRNA sequences, 6606 of which contain anti- 30 end of transcripts. The orientation of the detected transcript is sense ESTs and 3198 are mapped only by SAGE tags. Quantitative preserved in the SAGE tag sequence; therefore, SAGE tags can analysis showed that the detected antisense transcripts are present at distinguish sense and antisense transcripts. -
Refinement of the 22Q12-Q13 Breast Cancer ^ Associated Region
Human Cancer Biology Refinement of the 22q12-q13 Breast Cancer^ Associated Region: Evidence of TMPRSS6 as a Candidate Gene in an Eastern Finnish Population Jaana M. Hartikainen,1, 3 ,4 Hanna Tuhkanen,1, 3,4 Vesa Kataja,4 Matti Eskelinen,5 Matti Uusitupa,2 Veli-Matti Kosma,1, 3 andArto Mannermaa 1, 6 Abstract Although many risk factors for breast cancer are known, most of the genetic background andmolecular mechanisms still remain to be elucidated.We have previously publishedan auto- some-wide microsatellite scan for breast cancer association and here we report a follow-up study for one of the detected regions. Ten single nucleotide polymorphisms (SNP) were genotyped in an Eastern Finnish population sample of 497 breast cancer cases and458 controls to refine the 550-kb region on 22q12-q13 andidentify the breast cancer ^ associatedgene(s) in this region. We also studied 22q12-q13 for allelic imbalance for the detection of a possible tumor suppressor gene andto see whether the breast cancer association andallelic imbalance in this region couldbe connected.A SNP (rs733655) in matriptase-2 gene ( TMPRSS6) was detected to associate with breast cancer risk.The genotype frequencies of rs733655 differed significantly between cases andcontrols in the entire sample andin the geographically andgenetically more homogeneous subsample with P = 0.044 and P = 0.0003, respectively. The heterozygous genotype TC was observed to be the risk genotype in both samples (odds ratios, 1.39; 95% confidence intervals, 1.06-1.83 and odds ratios, 2.11; 95% confidence intervals, 1.46-3.05). An associatedtwo-marker haplotype involving SNP rs733655 (empirical P =0.041)provides further evidence for breast cancer risk factor locating on 22q12-q13, possibly beingTMPRSS6 . -
Unravelling the Genetics of Iron Status in African Populations
Unravelling The Genetics Of Iron Status In African Populations Candidate Gene Association Studies Wanjiku N Gichohi-Wainaina Unravelling the Genetics of Iron Status in African Populations CANDIDATE GENE ASSOCIATION STUDIES Wanjiku N Gichohi-Wainaina Thesis committee Promotors Prof. Dr Michael B. Zimmermann Professor of Micronutrients and International Health, Wageningen University Professor of Human Nutrition, Swiss Federal Institute of Technology ETH Zürich, Switzerland Prof. Dr Edith J.M. Feskens Personal chair at the Division of Human Nutrition, Wageningen University Co-promotors Dr Alida Melse-Boonstra Assistant professor, Division of Human Nutrition, Wageningen University Dr Gordon Wayne Towers Senior Lecturer, Nutritional Genetics, Centre of Excellence for Nutrition North West University, Potchefstroom Campus, South Africa Other members Prof. Dr Sander Kersten, Wageningen University Prof. Dr P. Eline Slagboom, Leiden University Medical Centre Prof. Sue Fairweather-Tait, Norwich Medical School, UK Dr Diego Moretti, ETH Zürich, Switzerland This research was conducted under the auspices of the Graduate School VLAG (Advanced studies in Food Technology, Agrobiotechnology, Nutrition and Health Sciences). 2 | P a g e Unravelling the Genetics of Iron Status in African Populations CANDIDATE GENE ASSOCIATION STUDIES Wanjiku N Gichohi-Wainaina Thesis submitted in fulfilment of the requirements for the degree of doctor at Wageningen University by the authority of the Rector Magnificus Prof. Dr M.J. Kropff, in the presence of the Thesis Committee -
Gene Section Review
Atlas of Genetics and Cytogenetics in Oncology and Haematology OPEN ACCESS JOURNAL INIST-CNRS Gene Section Review PPP6R3 (protein phosphatase 6 regulatory subunit 3) Luigi Cristiano Aesthetic and medical biotechnologies research unit, Prestige, Terranuova Bracciolini, Italy. [email protected]; [email protected] Published in Atlas Database: March 2019 Online updated version : http://AtlasGeneticsOncology.org/Genes/PPP6R3ID54550ch11q13.html Printable original version : http://documents.irevues.inist.fr/bitstream/handle/2042/70657/03-2019-PPP6R3ID54550ch11q13.pdf DOI: 10.4267/2042/70657 This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 2.0 France Licence. © 2020 Atlas of Genetics and Cytogenetics in Oncology and Haematology Abstract bladder cancer, lung cancer, nodular fasciitis Protein phosphatase 6 regulatory subunit 3 Identity (PPP6R3) is a regulatory subunit of the PP6 holoenzyme complex involved in the turnover of Other names: Serine/threonine-protein phosphatase serine and threonine phosphorylation events during 6 regulatory subunit 3, chromosome 11 open reading mitosis. PPP6R3 shows abundant mRNA splicing frame 23 C11orf23, SAPS domain family member 3, variants and numerous functional protein isoforms. SAPS3, SAPLa, SAPL, SAP190, sporulation- PPP6R3 gene is often involved in abnormal induced transcript 4-associated protein, chromosomal translocations and it is found as a DKFZp781E2374, DKFZp781O2362, fusion gene partner in different kind of cancers. DKFZp781E17107, FLJ11058, FLJ43065, KIAA1558, MGC125711, MGC125712 Keywords PPP6R3, protein phosphatase 6 regulatory subunit 3, HGNC (Hugo): PPP6R3 C11orf23, SAPS, phosphorylation, breast cancer, Location: 11q13.2 Figure. 1. PPP6R3 gene and splicing variants/isoforms. The figure shows the locus on chromosome 11 of the PPP6R3 gene (reworked from https://www.ncbi.nlm.nih.gov/gene; http://grch37.ensembl.org; www.genecards.org) Atlas Genet Cytogenet Oncol Haematol. -
Number 2 February 2020 Atlas of Genetics and Cytogenetics in Oncology and Haematology
Volume 1 - Number 1 May - September 1997 Volume 24 - Number 2 February 2020 Atlas of Genetics and Cytogenetics in Oncology and Haematology OPEN ACCESS JOURNAL INIST-CNRS Scope The Atlas of Genetics and Cytogenetics in Oncology and Haematology is a peer reviewed on-line journal in open access, devoted to genes, cytogenetics, and clinical entities in cancer, and cancer-prone diseases. It is made for and by: clinicians and researchers in cytogenetics, molecular biology, oncology, haematology, and pathology. One main scope of the Atlas is to conjugate the scientific information provided by cytogenetics/molecular genetics to the clinical setting (diagnostics, prognostics and therapeutic design), another is to provide an encyclopedic knowledge in cancer genetics. The Atlas deals with cancer research and genomics. It is at the crossroads of research, virtual medical university (university and post-university e-learning), and telemedicine. It contributes to "meta-medicine", this mediation, using information technology, between the increasing amount of knowledge and the individual, having to use the information. Towards a personalized medicine of cancer. It presents structured review articles ("cards") on: 1- Genes, 2- Leukemias, 3- Solid tumors, 4- Cancer-prone diseases, and also 5- "Deep insights": more traditional review articles on the above subjects and on surrounding topics. It also present 6- Case reports in hematology and 7- Educational items in the various related topics for students in Medicine and in Sciences. The Atlas of Genetics -
216141 2 En Bookbackmatter 461..490
Glossary A2BP1 ataxin 2-binding protein 1 (605104); 16p13 ABAT 4-(gamma)-aminobutyrate transferase (137150); 16p13.3 ABCA5 ATP-binding cassette, subfamily A, member 5 (612503); 17q24.3 ABCD1 ATP-binding cassette, subfamily D, member 1 (300371):Xq28 ABR active BCR-related gene (600365); 17p13.3 ACR acrosin (102480); 22q13.33 ACTB actin, beta (102630); 7p22.1 ADHD attention deficit hyperactivity disorder—three separate conditions ADD, ADHD, HD that manifest as poor focus with or without uncontrolled, inap- propriately busy behavior, diagnosed by observation and quantitative scores from parent and teacher questionnaires ADSL adenylosuccinate lyase (608222); 22q13.1 AGL amylo-1,6-glucosidase (610860); 1p21.2 AGO1 (EIF2C1), AGO3 (EIF2C3) argonaute 1 (EIF2C1, eukaryotic translation initiation factor 2C, subunit 1 (606228); 1p34.3, argonaute 3 (factor 2C, subunit 3—607355):1p34.3 AKAP8, AKAP8L A-kinase anchor protein (604692); 19p13.12, A-kinase anchor protein 8-like (609475); 19p13.12 ALG6 S. cerevisiae homologue of, mutations cause congenital disorder of glyco- sylation (604566); 1p31.3 Alopecia absence of hair ALX4 aristaless-like 4, mouse homolog of (605420); 11p11.2 As elsewhere in this book, 6-digit numbers in parentheses direct the reader to gene or disease descriptions in the Online Mendelian Disease in Man database (www.omim.org) © Springer Nature Singapore Pte Ltd. 2017 461 H.E. Wyandt et al., Human Chromosome Variation: Heteromorphism, Polymorphism and Pathogenesis, DOI 10.1007/978-981-10-3035-2 462 Glossary GRIA1 glutamate receptor, -
Data-Driven and Knowledge-Driven Computational Models of Angiogenesis in Application to Peripheral Arterial Disease
DATA-DRIVEN AND KNOWLEDGE-DRIVEN COMPUTATIONAL MODELS OF ANGIOGENESIS IN APPLICATION TO PERIPHERAL ARTERIAL DISEASE by Liang-Hui Chu A dissertation submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland March, 2015 © 2015 Liang-Hui Chu All Rights Reserved Abstract Angiogenesis, the formation of new blood vessels from pre-existing vessels, is involved in both physiological conditions (e.g. development, wound healing and exercise) and diseases (e.g. cancer, age-related macular degeneration, and ischemic diseases such as coronary artery disease and peripheral arterial disease). Peripheral arterial disease (PAD) affects approximately 8 to 12 million people in United States, especially those over the age of 50 and its prevalence is now comparable to that of coronary artery disease. To date, all clinical trials that includes stimulation of VEGF (vascular endothelial growth factor) and FGF (fibroblast growth factor) have failed. There is an unmet need to find novel genes and drug targets and predict potential therapeutics in PAD. We use the data-driven bioinformatic approach to identify angiogenesis-associated genes and predict new targets and repositioned drugs in PAD. We also formulate a mechanistic three- compartment model that includes the anti-angiogenic isoform VEGF165b. The thesis can serve as a framework for computational and experimental validations of novel drug targets and drugs in PAD. ii Acknowledgements I appreciate my advisor Dr. Aleksander S. Popel to guide my PhD studies for the five years at Johns Hopkins University. I also appreciate several professors on my thesis committee, Dr. Joel S. Bader, Dr. -
DES-Mutation: System for Exploring Links of Mutations and Diseases
www.nature.com/scientificreports OPEN DES-Mutation: System for Exploring Links of Mutations and Diseases Received: 18 December 2017 Vasiliki Kordopati 1, Adil Salhi1, Rozaimi Razali 1, Aleksandar Radovanovic1, Accepted: 17 August 2018 Faroug Tifratene1, Mahmut Uludag1, Yu Li 1, Ameerah Bokhari1, Ahdab AlSaieedi1,2, Published: xx xx xxxx Arwa Bin Raies1, Christophe Van Neste1,3, Magbubah Essack 1 & Vladimir B. Bajic 1 During cellular division DNA replicates and this process is the basis for passing genetic information to the next generation. However, the DNA copy process sometimes produces a copy that is not perfect, that is, one with mutations. The collection of all such mutations in the DNA copy of an organism makes it unique and determines the organism’s phenotype. However, mutations are often the cause of diseases. Thus, it is useful to have the capability to explore links between mutations and disease. We approached this problem by analyzing a vast amount of published information linking mutations to disease states. Based on such information, we developed the DES-Mutation knowledgebase which allows for exploration of not only mutation-disease links, but also links between mutations and concepts from 27 topic-specifc dictionaries such as human genes/proteins, toxins, pathogens, etc. This allows for a more detailed insight into mutation-disease links and context. On a sample of 600 mutation-disease associations predicted and curated, our system achieves precision of 72.83%. To demonstrate the utility of DES-Mutation, we provide case studies related to known or potentially novel information involving disease mutations. To our knowledge, this is the frst mutation-disease knowledgebase dedicated to the exploration of this topic through text-mining and data-mining of diferent mutation types and their associations with terms from multiple thematic dictionaries. -
Novel Loci Affecting Iron Homeostasis and Their Effects in Individuals at Risk for Hemochromatosis
ARTICLE Received 1 May 2014 | Accepted 6 Aug 2014 | Published 29 Oct 2014 | Updated 30 Mar 2014 DOI: 10.1038/ncomms5926 Novel loci affecting iron homeostasis and their effects in individuals at risk for hemochromatosis Beben Benyamin1,2,TonuEsko3,4,JaninaS.Ried5, Aparna Radhakrishnan6,SitaH.Vermeulen7,8, Michela Traglia9,10,MartinGo¨gele11, Denise Anderson12, Linda Broer13,14, Clara Podmore15,Jian´an Luan15, Zoltan Kutalik16,17, Serena Sanna18, Peter van der Meer19, Toshiko Tanaka 20, Fudi Wang21,Harm-JanWestra22, Lude Franke22, Evelin Mihailov3,23, Lili Milani3,JonasHa¨lldin3, Juliane Winkelmann24,25,26,27,ThomasMeitinger26,28,JoachimThiery29,30, Annette Peters31,32, Melanie Waldenberger31,32, Augusto Rendon6,33,34, Jennifer Jolley6,33, Jennifer Sambrook6,33, Lambertus A. Kiemeney7,35,FredC.Sweep36,CinziaF.Sala37, Christine Schwienbacher11,IrenePichler11, Jennie Hui38,39,AyseDemirkan13,40, Aaron Isaacs13,41,NajafAmin13, Maristella Steri18, Ge´rard Waeber42, Niek Verweij19, Joseph E. Powell1,43,DaleR.Nyholt2, Andrew C. Heath44,PamelaA.F.Madden44, Peter M. Visscher1,43,MargaretJ.Wright2, Grant W. Montgomery2, Nicholas G. Martin2, Dena Hernandez45, Stefania Bandinelli46, Pim van der Harst19,47,48,ManuelaUda18, Peter Vollenweider42,RobertA.Scott15, Claudia Langenberg15, Nicholas J. Wareham15, InterAct Consortiumw, Cornelia van Duijn13,41,49, John Beilby38,39, Peter P. Pramstaller11,50, Andrew A. Hicks11, Willem H. Ouwehand6,33,KonradOexle28, Christian Gieger5,31,32, Andres Metspalu3, Clara Camaschella9,51, Daniela Toniolo9, Dorine W. Swinkels36 & John B. Whitfield2 Variation in body iron is associated with or causes diseases, including anaemia and iron overload. Here, we analyse genetic association data on biochemical markers of iron status from 11 European-population studies, with replication in eight additional cohorts (total up to 48,972 subjects).