Characteristics of Highly Polymorphic Segmental Copy-Number Variations Observed in Japanese by BAC-Array-CGH
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Structural Forms of the Human Amylase Locus and Their Relationships to Snps, Haplotypes, and Obesity
Structural Forms of the Human Amylase Locus and Their Relationships to SNPs, Haplotypes, and Obesity The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Usher, Christina Leigh. 2015. Structural Forms of the Human Amylase Locus and Their Relationships to SNPs, Haplotypes, and Obesity. Doctoral dissertation, Harvard University, Graduate School of Arts & Sciences. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:17467224 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Structural forms of the human amylase locus and their relationships to SNPs, haplotypes, and obesity A dissertation presented by Christina Leigh Usher to The Division of Medical Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the subject of Genetics and Genomics Harvard University Cambridge, Massachusetts March 2015 © 2015 Christina Leigh Usher All rights reserved. Dissertation Advisor: Professor Steven McCarroll Christina Leigh Usher Structural forms of the human amylase locus and their relationships to SNPs, haplotypes, and obesity Abstract Hundreds of human genes reside in structurally complex loci that elude molecular analysis and assessment in genome-wide association studies (GWAS). One such locus contains the three different amylase genes (AMY2B, AMY2A, and AMY1) responsible for digesting starch into sugar. The copy number of AMY1 is reported to be the genome’s largest influence on obesity, yet has gone undetected in GWAS. -
Renal Cell Neoplasms Contain Shared Tumor Type–Specific Copy Number Variations
The American Journal of Pathology, Vol. 180, No. 6, June 2012 Copyright © 2012 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved. http://dx.doi.org/10.1016/j.ajpath.2012.01.044 Tumorigenesis and Neoplastic Progression Renal Cell Neoplasms Contain Shared Tumor Type–Specific Copy Number Variations John M. Krill-Burger,* Maureen A. Lyons,*† The annual incidence of renal cell carcinoma (RCC) has Lori A. Kelly,*† Christin M. Sciulli,*† increased steadily in the United States for the past three Patricia Petrosko,*† Uma R. Chandran,†‡ decades, with approximately 58,000 new cases diag- 1,2 Michael D. Kubal,§ Sheldon I. Bastacky,*† nosed in 2010, representing 3% of all malignancies. Anil V. Parwani,*†‡ Rajiv Dhir,*†‡ and Treatment of RCC is complicated by the fact that it is not a single disease but composes multiple tumor types with William A. LaFramboise*†‡ different morphological characteristics, clinical courses, From the Departments of Pathology* and Biomedical and outcomes (ie, clear-cell carcinoma, 82% of RCC ‡ Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania; cases; type 1 or 2 papillary tumors, 11% of RCC cases; † the University of Pittsburgh Cancer Institute, Pittsburgh, chromophobe tumors, 5% of RCC cases; and collecting § Pennsylvania; and Life Technologies, Carlsbad, California duct carcinoma, approximately 1% of RCC cases).2,3 Benign renal neoplasms are subdivided into papillary adenoma, renal oncocytoma, and metanephric ade- Copy number variant (CNV) analysis was performed on noma.2,3 Treatment of RCC often involves surgical resec- renal cell carcinoma (RCC) specimens (chromophobe, tion of a large renal tissue component or removal of the clear cell, oncocytoma, papillary type 1, and papillary entire affected kidney because of the relatively large size of type 2) using high-resolution arrays (1.85 million renal tumors on discovery and the availability of a life-sus- probes). -
Chuanxiong Rhizoma Compound on HIF-VEGF Pathway and Cerebral Ischemia-Reperfusion Injury’S Biological Network Based on Systematic Pharmacology
ORIGINAL RESEARCH published: 25 June 2021 doi: 10.3389/fphar.2021.601846 Exploring the Regulatory Mechanism of Hedysarum Multijugum Maxim.-Chuanxiong Rhizoma Compound on HIF-VEGF Pathway and Cerebral Ischemia-Reperfusion Injury’s Biological Network Based on Systematic Pharmacology Kailin Yang 1†, Liuting Zeng 1†, Anqi Ge 2†, Yi Chen 1†, Shanshan Wang 1†, Xiaofei Zhu 1,3† and Jinwen Ge 1,4* Edited by: 1 Takashi Sato, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of 2 Tokyo University of Pharmacy and Life Cardio-Cerebral Diseases, Hunan University of Chinese Medicine, Changsha, China, Galactophore Department, The First 3 Sciences, Japan Hospital of Hunan University of Chinese Medicine, Changsha, China, School of Graduate, Central South University, Changsha, China, 4Shaoyang University, Shaoyang, China Reviewed by: Hui Zhao, Capital Medical University, China Background: Clinical research found that Hedysarum Multijugum Maxim.-Chuanxiong Maria Luisa Del Moral, fi University of Jaén, Spain Rhizoma Compound (HCC) has de nite curative effect on cerebral ischemic diseases, *Correspondence: such as ischemic stroke and cerebral ischemia-reperfusion injury (CIR). However, its Jinwen Ge mechanism for treating cerebral ischemia is still not fully explained. [email protected] †These authors share first authorship Methods: The traditional Chinese medicine related database were utilized to obtain the components of HCC. The Pharmmapper were used to predict HCC’s potential targets. Specialty section: The CIR genes were obtained from Genecards and OMIM and the protein-protein This article was submitted to interaction (PPI) data of HCC’s targets and IS genes were obtained from String Ethnopharmacology, a section of the journal database. -
Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected]
University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School July 2017 Role of Amylase in Ovarian Cancer Mai Mohamed University of South Florida, [email protected] Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the Pathology Commons Scholar Commons Citation Mohamed, Mai, "Role of Amylase in Ovarian Cancer" (2017). Graduate Theses and Dissertations. http://scholarcommons.usf.edu/etd/6907 This Dissertation is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Role of Amylase in Ovarian Cancer by Mai Mohamed A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Pathology and Cell Biology Morsani College of Medicine University of South Florida Major Professor: Patricia Kruk, Ph.D. Paula C. Bickford, Ph.D. Meera Nanjundan, Ph.D. Marzenna Wiranowska, Ph.D. Lauri Wright, Ph.D. Date of Approval: June 29, 2017 Keywords: ovarian cancer, amylase, computational analyses, glycocalyx, cellular invasion Copyright © 2017, Mai Mohamed Dedication This dissertation is dedicated to my parents, Ahmed and Fatma, who have always stressed the importance of education, and, throughout my education, have been my strongest source of encouragement and support. They always believed in me and I am eternally grateful to them. I would also like to thank my brothers, Mohamed and Hussien, and my sister, Mariam. I would also like to thank my husband, Ahmed. -
Research Article Sex Difference of Ribosome in Stroke-Induced Peripheral Immunosuppression by Integrated Bioinformatics Analysis
Hindawi BioMed Research International Volume 2020, Article ID 3650935, 15 pages https://doi.org/10.1155/2020/3650935 Research Article Sex Difference of Ribosome in Stroke-Induced Peripheral Immunosuppression by Integrated Bioinformatics Analysis Jian-Qin Xie ,1,2,3 Ya-Peng Lu ,1,3 Hong-Li Sun ,1,3 Li-Na Gao ,2,3 Pei-Pei Song ,2,3 Zhi-Jun Feng ,3 and Chong-Ge You 2,3 1Department of Anesthesiology, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China 2Laboratory Medicine Center, Lanzhou University Second Hospital, Lanzhou, Gansu 730030, China 3The Second Clinical Medical College of Lanzhou University, Lanzhou, Gansu 730030, China Correspondence should be addressed to Chong-Ge You; [email protected] Received 13 April 2020; Revised 8 October 2020; Accepted 18 November 2020; Published 3 December 2020 Academic Editor: Rudolf K. Braun Copyright © 2020 Jian-Qin Xie et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Ischemic stroke (IS) greatly threatens human health resulting in high mortality and substantial loss of function. Recent studies have shown that the outcome of IS has sex specific, but its mechanism is still unclear. This study is aimed at identifying the sexually dimorphic to peripheral immune response in IS progression, predicting potential prognostic biomarkers that can lead to sex- specific outcome, and revealing potential treatment targets. Gene expression dataset GSE37587, including 68 peripheral whole blood samples which were collected within 24 hours from known onset of symptom and again at 24-48 hours after onset (20 women and 14 men), was downloaded from the Gene Expression Omnibus (GEO) datasets. -
The Genome-Wide Landscape of Copy Number Variations in the MUSGEN Study Provides Evidence for a Founder Effect in the Isolated Finnish Population
European Journal of Human Genetics (2013) 21, 1411–1416 & 2013 Macmillan Publishers Limited All rights reserved 1018-4813/13 www.nature.com/ejhg ARTICLE The genome-wide landscape of copy number variations in the MUSGEN study provides evidence for a founder effect in the isolated Finnish population Chakravarthi Kanduri1, Liisa Ukkola-Vuoti1, Jaana Oikkonen1, Gemma Buck2, Christine Blancher2, Pirre Raijas3, Kai Karma4, Harri La¨hdesma¨ki5 and Irma Ja¨rvela¨*,1 Here we characterized the genome-wide architecture of copy number variations (CNVs) in 286 healthy, unrelated Finnish individuals belonging to the MUSGEN study, where molecular background underlying musical aptitude and related traits are studied. By using Illumina HumanOmniExpress-12v.1.0 beadchip, we identified 5493 CNVs that were spread across 467 different cytogenetic regions, spanning a total size of 287.83 Mb (B9.6% of the human genome). Merging the overlapping CNVs across samples resulted in 999 discrete copy number variable regions (CNVRs), of which B6.9% were putatively novel. The average number of CNVs per person was 20, whereas the average size of CNV per locus was 52.39 kb. Large CNVs (41 Mb) were present in 4% of the samples. The proportion of homozygous deletions in this data set (B12.4%) seemed to be higher when compared with three other populations. Interestingly, several CNVRs were significantly enriched in this sample set, whereas several others were totally depleted. For example, a CNVR at chr2p22.1 intersecting GALM was more common in this population (P ¼ 3.3706 Â 10 À44) than in African and other European populations. The enriched CNVRs, however, showed no significant association with music-related phenotypes. -
AMY1A ELISA Kit (Human) (OKEH01050)
AMY1A ELISA Kit (Human) (OKEH01050) Instructions for Use For the quantitative measurement of AMY1A in biological fluids. This product is intended for research use only. v{Version} AMY1A ELISA Kit (Human) (OKEH01050) v1.0 Table of Contents 1. Background ................................................................................................................................. 3 2. Assay Summary .......................................................................................................................... 4 3. Storage and Stability ................................................................................................................... 4 4. Kit Components ........................................................................................................................... 4 5. Precautions.................................................................................................................................. 5 6. Required Materials Not Supplied ................................................................................................ 5 7. Technical Application Tips .......................................................................................................... 5 8. Reagent Preparation ................................................................................................................... 6 9. Sample Preparation Guidelines .................................................................................................. 7 10. Assay Procedure ........................................................................................................................ -
(12) Patent Application Publication (10) Pub. No.: US 2001/0034023 A1 Stanton, JR
US 2001.0034O23A1. (19) United States (12) Patent Application Publication (10) Pub. No.: US 2001/0034023 A1 Stanton, JR. et al. (43) Pub. Date: Oct. 25, 2001 (54) GENE SEQUENCE VARIATIONS WITH Related U.S. Application Data UTILITY IN DETERMINING THE (63) Continuation-in-part of application No. 09/710,467, TREATMENT OF DISEASE, INGENES filed on Nov. 8, 2000, which is a continuation-in-part RELATING TO DRUG PROCESSING of application No. 09/696,482, filed on Oct. 24, 2000. Non-provisional of provisional application No. 60/131,334, filed on Apr. 26, 1999. Non-provisional (76) Inventors: Vincent P. Stanton JR., Belmont, MA of provisional application No. 60/139,440, filed on (US); Martin Zillmann, Shrewsbury, Jun. 15, 1999. MA (US) (30) Foreign Application Priority Data Correspondence Address: Jan. 20, 2000 (WO)........................... PCT/USOO/O1392 EDWARD O. KRUESSER BROBECK PHLEGER & HARRISON Publication Classification 12390 EL CAMINO REAL (51) Int. Cl. ............................. C12O 1/68; G06F 19/00 SAN DIEGO, CA 92130 (US) (52) U.S. Cl. ................................................... 435/6; 702/20 (57) ABSTRACT (21) Appl. No.: 09/733,000 Methods for identifying and utilizing variances in genes relating to efficacy and Safety of medical therapy and other aspects of medical therapy are described, including methods (22) Filed: Dec. 7, 2000 for Selecting an effective treatment. US 2001/0034023 A1 Oct. 25, 2001 GENE SEQUENCE WARIATIONS WITH UTILITY 0005 For some drugs, over 90% of the measurable IN DETERMINING THE TREATMENT OF interSubject variation in Selected pharmacokinetic param DISEASE, INGENES RELATING TO DRUG eters has been shown to be heritable. For a limited number PROCESSING of drugs, DNA sequence variances have been identified in Specific genes that are involved in drug action or metabo RELATED APPLICATIONS lism, and these variances have been shown to account for the 0001. -
Cancer Sequencing Service Data File Formats File Format V2.4 Software V2.4 December 2012
Cancer Sequencing Service Data File Formats File format v2.4 Software v2.4 December 2012 CGA Tools, cPAL, and DNB are trademarks of Complete Genomics, Inc. in the US and certain other countries. All other trademarks are the property of their respective owners. Disclaimer of Warranties. COMPLETE GENOMICS, INC. PROVIDES THESE DATA IN GOOD FAITH TO THE RECIPIENT “AS IS.” COMPLETE GENOMICS, INC. MAKES NO REPRESENTATION OR WARRANTY, EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED WARRANTY OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE OR USE, OR ANY OTHER STATUTORY WARRANTY. COMPLETE GENOMICS, INC. ASSUMES NO LEGAL LIABILITY OR RESPONSIBILITY FOR ANY PURPOSE FOR WHICH THE DATA ARE USED. Any permitted redistribution of the data should carry the Disclaimer of Warranties provided above. Data file formats are expected to evolve over time. Backward compatibility of any new file format is not guaranteed. Complete Genomics data is for Research Use Only and not for use in the treatment or diagnosis of any human subject. Information, descriptions and specifications in this publication are subject to change without notice. Copyright © 2011-2012 Complete Genomics Incorporated. All rights reserved. RM_DFFCS_2.4-01 Table of Contents Table of Contents Preface ...........................................................................................................................................................................................1 Conventions ................................................................................................................................................................................................. -
Low Copy Number of the Salivary Amylase Gene Predisposes to Obesity
Europe PMC Funders Group Author Manuscript Nat Genet. Author manuscript; available in PMC 2019 April 26. Published in final edited form as: Nat Genet. 2014 May ; 46(5): 492–497. doi:10.1038/ng.2939. Europe PMC Funders Author Manuscripts Low copy number of the salivary amylase gene predisposes to obesity Mario Falchi1,39,‡, Julia Sarah El-Sayed Moustafa1,39, Petros Takousis1,40, Francesco Pesce1,2,40, Amélie Bonnefond3,4,5,6,40, Johanna C. Andersson-Assarsson7,8,1,40, Peter H. Sudmant9, Rajkumar Dorajoo1,10, Mashael Nedham Al-Shafai1,11, Leonardo Bottolo12, Erdal Ozdemir1, Hon-Cheong So13, Robert W. Davies14, Alexandre Patrice15,16,6, Robert Dent17, Massimo Mangino18, Pirro G. Hysi18, Aurélie Dechaume3,4,6, Marlène Huyvaert3,4,6, Jane Skinner19, Marie Pigeyre15,16,4,6, Robert Caiazzo15,16,4,6, Violeta Raverdy15,16,6, Emmanuel Vaillant3,4,6, Sarah Field20, Beverley Balkau21,22, Michel Marre23,24, Sophie Visvikis-Siest25, Jacques Weill26, Odile Poulain-Godefroy3,4,6, Peter Jacobson7,8, Lars Sjostrom7,8, Christopher J. Hammond18, Panos Deloukas20,27,28, Pak Chung Sham13, Ruth McPherson29,30, Jeannette Lee31, E. Shyong Tai31,32,33, Robert Sladek34,35,36, Lena M.S. Carlsson7,8, Andrew Walley1,37, Evan E. Eichler9,38, Francois Pattou15,16,6,4, Timothy D. Spector18,41, and Philippe Froguel1,3,6,4,5,41,‡ 1Department of Genomics of Common Disease, Imperial College London, W12 0NN London, United Kingdom 2Renal, Dialysis and Transplant Unit. Department of Emergency and Organ Transplantation (D.E.T.O.), University of Bari “Aldo Moro”, Italy Europe -
Relationship Between Salivary/Pancreatic
Relationship between salivary/pancreatic amylase and body mass index: a systems biology approach Amélie Bonnefond, Loïc Yengo, Aurélie Dechaume, Mickaël Canouil, Maxime Castelain, Estelle Roger, Frédéric Allegaert, Robert Caiazzo, Violeta Raverdy, Marie Pigeyre, et al. To cite this version: Amélie Bonnefond, Loïc Yengo, Aurélie Dechaume, Mickaël Canouil, Maxime Castelain, et al.. Re- lationship between salivary/pancreatic amylase and body mass index: a systems biology approach. BMC Medicine, BioMed Central, 2016, 15 (1), pp.37. 10.1186/s12916-017-0784-x. inserm-01474661 HAL Id: inserm-01474661 https://www.hal.inserm.fr/inserm-01474661 Submitted on 23 Feb 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Bonnefond et al. BMC Medicine (2017) 15:37 DOI 10.1186/s12916-017-0784-x RESEARCH ARTICLE Open Access Relationship between salivary/pancreatic amylase and body mass index: a systems biology approach Amélie Bonnefond1*†, Loïc Yengo1,2†, Aurélie Dechaume1, Mickaël Canouil1, Maxime Castelain1, Estelle Roger1, Frédéric Allegaert1, Robert Caiazzo3,4, Violeta Raverdy3,4, Marie Pigeyre3,4, Abdelilah Arredouani5, Jean-Michel Borys6, Claire Lévy-Marchal7, Jacques Weill8, Ronan Roussel9,10,11, Beverley Balkau12, Michel Marre9,10,11, François Pattou3,4†, Thierry Brousseau13† and Philippe Froguel1,14* Abstract Background: Salivary (AMY1) and pancreatic (AMY2) amylases hydrolyze starch. -
Ontology-Driven Pathway Data Integration
©Copyright 2019 Lucy Lu Wang Ontology-driven pathway data integration Lucy Lu Wang A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2019 Reading Committee: John H. Gennari, Chair Neil F. Abernethy Paul K. Crane Program Authorized to Offer Degree: Biomedical & Health Informatics University of Washington Abstract Ontology-driven pathway data integration Lucy Lu Wang Chair of the Supervisory Committee: Graduate Program Director & Associate Professor John H. Gennari Biomedical Informatics and Medical Education Biological pathways are useful tools for understanding human physiology and disease pathogenesis. Pathway analysis can be used to detect genes and functions associated with complex disease pheno- types. When performing pathway analysis, researchers take advantage of multiple pathway datasets, combining pathways from different pathway databases. Pathways from different databases do not eas- ily inter-operate, and the resulting combined pathway dataset can suffer from redundancy or reduced interpretability. Ontologies have been used to organize pathway data and eliminate redundancy. I generated clus- ters of semantically similar pathways by mapping pathways from seven databases to classes of one such ontology, the Pathway Ontology (PW). I then produced a typology of differences between pathways by summarizing the differences in content and knowledge representation between databases. Using the typology, I optimized an entity and graph-based network alignment algorithm for aligning pathways between databases. The algorithm was applied to clusters of semantically similar pathways to generate normalized pathways for each PW class. These normalized pathways were used to produce normal- ized gene sets for gene set enrichment analysis (GSEA). I evaluated these normalized gene sets against baseline gene sets in GSEA using four public gene expression datasets.