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Gene-By-Environment Interactions in Urban Populations Modulate Risk Phenotypes
ARTICLE DOI: 10.1038/s41467-018-03202-2 OPEN Gene-by-environment interactions in urban populations modulate risk phenotypes Marie-Julie Favé1,2, Fabien C. Lamaze1, David Soave1, Alan Hodgkinson2,3, Héloïse Gauvin2,4, Vanessa Bruat1,2, Jean-Christophe Grenier 1,2, Elias Gbeha1, Kimberly Skead1, Audrey Smargiassi5, Markey Johnson6, Youssef Idaghdour7 & Philip Awadalla1,2,8,9 Uncovering the interaction between genomes and the environment is a principal challenge of 1234567890():,; modern genomics and preventive medicine. While theoretical models are well defined, little is known of the G × E interactions in humans. We used an integrative approach to compre- hensively assess the interactions between 1.6 million data points, encompassing a range of environmental exposures, health, and gene expression levels, coupled with whole-genome genetic variation. From ∼1000 individuals of a founder population in Quebec, we reveal a substantial impact of the environment on the transcriptome and clinical endophenotypes, overpowering that of genetic ancestry. Air pollution impacts gene expression and pathways affecting cardio-metabolic and respiratory traits, when controlling for genetic ancestry. Finally, we capture four expression quantitative trait loci that interact with the environment (air pollution). Our findings demonstrate how the local environment directly affects disease risk phenotypes and that genetic variation, including less common variants, can modulate individual’s response to environmental challenges. 1 Ontario Institute for Cancer Research, Toronto, ON M5G 0A3, Canada. 2 Sainte-Justine Research Center, Faculty of Medicine, University of Montreal, Montreal, QC H3T 1C5, Canada. 3 Department of Medical and Molecular Genetics, Guy’s Hospital, King’s College London, London, WC2R 2LS, UK. -
ÉTUDES MÉDIATISÉES DANS LES MÉDIAS ET SUR LE WEB Édition Du 30 Janvier 2013
Direction de la recherche du CHU Sainte-Justine ÉTUDES MÉDIATISÉES DANS LES MÉDIAS ET SUR LE WEB Édition du 30 janvier 2013 September 28, 2012 Study of Dr. Gregor Andelfinger and Dr. Marc-Phillip Hitz Major genetic discovery explains 10 percent of aortic valve disease READ THE PRESS RELEASE Researchers at the Sainte-Justine University Hospital Center and University of Montreal have identified genetic origins in 10% of an important form of congenital heart diseases by studying the genetic variability within families. "This is more than the sum of the genes found to date in all previous studies, which explained only 1% of the disease, says Dr. Marc-Phillip Hitz, lead author of the study published in PLoS Genetics, under the direction of Dr. Gregor Andelfinger, pediatric cardiologist and principal investigator leading an international research team, who calls this study "a very important step towards a molecular catalog, which ultimately may explain the evolution of disease in individual patients and allow to influence the progression of the disease." MEDIA COVERAGE : Genome Québec Science Daily Continental News UdeMNouvelles Medical X Press AlphaGalileo Biospace Bioscholar Muckrack Healthfitnessok Breakthrough Digest Medical News Cours de médecine (5979 personnes suivent cette page sur Facebook) October 31, 2012 Study of Dr. Grant Mitchell Confirmation of nitisinone efficacy for life-threatening liver disease READ THE PRESS RELEASE A consortium of Quebec researchers coordinated by the Medical Genetics Service of the Sainte- Justine UHC has just published the findings of a 25-year study on the treatment of tyrosinemia, a life-threatening liver disease of genetic origin, which is screened at birth in the province of Quebec, where it is much more frequent than anywhere else in the world. -
Title a New Centrosomal Protein Regulates Neurogenesis By
Title A new centrosomal protein regulates neurogenesis by microtubule organization Authors: Germán Camargo Ortega1-3†, Sven Falk1,2†, Pia A. Johansson1,2†, Elise Peyre4, Sanjeeb Kumar Sahu5, Loïc Broic4, Camino De Juan Romero6, Kalina Draganova1,2, Stanislav Vinopal7, Kaviya Chinnappa1‡, Anna Gavranovic1, Tugay Karakaya1, Juliane Merl-Pham8, Arie Geerlof9, Regina Feederle10,11, Wei Shao12,13, Song-Hai Shi12,13, Stefanie M. Hauck8, Frank Bradke7, Victor Borrell6, Vijay K. Tiwari§, Wieland B. Huttner14, Michaela Wilsch- Bräuninger14, Laurent Nguyen4 and Magdalena Götz1,2,11* Affiliations: 1. Institute of Stem Cell Research, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany. 2. Physiological Genomics, Biomedical Center, Ludwig-Maximilian University Munich, Germany. 3. Graduate School of Systemic Neurosciences, Biocenter, Ludwig-Maximilian University Munich, Germany. 4. GIGA-Neurosciences, Molecular regulation of neurogenesis, University of Liège, Belgium 5. Institute of Molecular Biology (IMB), Mainz, Germany. 6. Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d’Alacant, Spain. 7. Laboratory for Axon Growth and Regeneration, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany. 8. Research Unit Protein Science, Helmholtz Centre Munich, German Research Center for Environmental Health, Munich, Germany. 9. Protein Expression and Purification Facility, Institute of Structural Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany. 10. Institute for Diabetes and Obesity, Monoclonal Antibody Core Facility, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany. 11. SYNERGY, Excellence Cluster of Systems Neurology, Biomedical Center, Ludwig- Maximilian University Munich, Germany. 12. Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, USA 13. -
Reconstructability Analysis As a Tool for Identifying Gene-Gene Interactions in Studies of Human Diseases
Portland State University PDXScholar Systems Science Faculty Publications and Presentations Systems Science 3-2010 Reconstructability Analysis As A Tool For Identifying Gene-Gene Interactions In Studies Of Human Diseases Stephen Shervais Eastern Washington University Patricia L. Kramer Oregon Health & Science University Shawn K. Westaway Oregon Health & Science University Nancy J. Cox University of Chicago Martin Zwick Portland State University, [email protected] Follow this and additional works at: https://pdxscholar.library.pdx.edu/sysc_fac Part of the Bioinformatics Commons, Diseases Commons, and the Genomics Commons Let us know how access to this document benefits ou.y Citation Details Shervais, S., Kramer, P. L., Westaway, S. K., Cox, N. J., & Zwick, M. (2010). Reconstructability Analysis as a Tool for Identifying Gene-Gene Interactions in Studies of Human Diseases. Statistical Applications In Genetics & Molecular Biology, 9(1), 1-25. This Article is brought to you for free and open access. It has been accepted for inclusion in Systems Science Faculty Publications and Presentations by an authorized administrator of PDXScholar. Please contact us if we can make this document more accessible: [email protected]. Statistical Applications in Genetics and Molecular Biology Volume 9, Issue 1 2010 Article 18 Reconstructability Analysis as a Tool for Identifying Gene-Gene Interactions in Studies of Human Diseases Stephen Shervais∗ Patricia L. Kramery Shawn K. Westawayz Nancy J. Cox∗∗ Martin Zwickyy ∗Eastern Washington University, [email protected] yOregon Health & Science University, [email protected] zOregon Health & Science University, [email protected] ∗∗University of Chicago, [email protected] yyPortland State University, [email protected] Copyright c 2010 The Berkeley Electronic Press. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Par6c Is at the Mother Centriole and Controls Centrosomal Protein
860 Research Article Par6c is at the mother centriole and controls centrosomal protein composition through a Par6a-dependent pathway Vale´rian Dormoy, Kati Tormanen and Christine Su¨ tterlin* Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA 92697-2300, USA *Author for correspondence ([email protected]) Accepted 3 December 2012 Journal of Cell Science 126, 860–870 ß 2013. Published by The Company of Biologists Ltd doi: 10.1242/jcs.121186 Summary The centrosome contains two centrioles that differ in age, protein composition and function. This non-membrane bound organelle is known to regulate microtubule organization in dividing cells and ciliogenesis in quiescent cells. These specific roles depend on protein appendages at the older, or mother, centriole. In this study, we identified the polarity protein partitioning defective 6 homolog gamma (Par6c) as a novel component of the mother centriole. This specific localization required the Par6c C-terminus, but was independent of intact microtubules, the dynein/dynactin complex and the components of the PAR polarity complex. Par6c depletion resulted in altered centrosomal protein composition, with the loss of a large number of proteins, including Par6a and p150Glued, from the centrosome. As a consequence, there were defects in ciliogenesis, microtubule organization and centrosome reorientation during migration. Par6c interacted with Par3 and aPKC, but these proteins were not required for the regulation of centrosomal protein composition. Par6c also associated with Par6a, which controls protein recruitment to the centrosome through p150Glued. Our study is the first to identify Par6c as a component of the mother centriole and to report a role of a mother centriole protein in the regulation of centrosomal protein composition. -
Raise the Curtain
JAN-FEB 2016 THEAtlanta OFFICIAL VISITORS GUIDE OF AtLANTA CoNVENTI ON &Now VISITORS BUREAU ATLANTA.NET RAISE THE CURTAIN THE NEW YEAR USHERS IN EXCITING NEW ADDITIONS TO SOME OF AtLANTA’S FAVORITE ATTRACTIONS INCLUDING THE WORLDS OF PUPPETRY MUSEUM AT CENTER FOR PUPPETRY ARTS. B ARGAIN BITES SEE PAGE 24 V ALENTINE’S DAY GIFT GUIDE SEE PAGE 32 SOP RTS CENTRAL SEE PAGE 36 ATLANTA’S MUST-SEA ATTRACTION. In 2015, Georgia Aquarium won the TripAdvisor Travelers’ Choice award as the #1 aquarium in the U.S. Don’t miss this amazing attraction while you’re here in Atlanta. For one low price, you’ll see all the exhibits and shows, and you’ll get a special discount when you book online. Plan your visit today at GeorgiaAquarium.org | 404.581.4000 | Georgia Aquarium is a not-for-profit organization, inspiring awareness and conservation of aquatic animals. F ATLANTA JANUARY-FEBRUARY 2016 O CONTENTS en’s museum DR D CHIL ENE OP E Y R NEWL THE 6 CALENDAR 36 SPORTS OF EVENTS SPORTS CENTRAL 14 Our hottest picks for Start the year with NASCAR, January and February’s basketball and more. what’S new events 38 ARC AROUND 11 INSIDER INFO THE PARK AT our Tips, conventions, discounts Centennial Olympic Park on tickets and visitor anchors a walkable ring of ATTRACTIONS information booth locations. some of the city’s best- It’s all here. known attractions. Think you’ve already seen most of the city’s top visitor 12 NEIGHBORHOODS 39 RESOURCE Explore our neighborhoods GUIDE venues? Update your bucket and find the perfect fit for Attractions, restaurants, list with these new and improved your interests, plus special venues, services and events in each ’hood. -
Profiling Data
Compound Name DiscoveRx Gene Symbol Entrez Gene Percent Compound Symbol Control Concentration (nM) JNK-IN-8 AAK1 AAK1 69 1000 JNK-IN-8 ABL1(E255K)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317I)-nonphosphorylated ABL1 87 1000 JNK-IN-8 ABL1(F317I)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317L)-nonphosphorylated ABL1 65 1000 JNK-IN-8 ABL1(F317L)-phosphorylated ABL1 61 1000 JNK-IN-8 ABL1(H396P)-nonphosphorylated ABL1 42 1000 JNK-IN-8 ABL1(H396P)-phosphorylated ABL1 60 1000 JNK-IN-8 ABL1(M351T)-phosphorylated ABL1 81 1000 JNK-IN-8 ABL1(Q252H)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(Q252H)-phosphorylated ABL1 56 1000 JNK-IN-8 ABL1(T315I)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(T315I)-phosphorylated ABL1 92 1000 JNK-IN-8 ABL1(Y253F)-phosphorylated ABL1 71 1000 JNK-IN-8 ABL1-nonphosphorylated ABL1 97 1000 JNK-IN-8 ABL1-phosphorylated ABL1 100 1000 JNK-IN-8 ABL2 ABL2 97 1000 JNK-IN-8 ACVR1 ACVR1 100 1000 JNK-IN-8 ACVR1B ACVR1B 88 1000 JNK-IN-8 ACVR2A ACVR2A 100 1000 JNK-IN-8 ACVR2B ACVR2B 100 1000 JNK-IN-8 ACVRL1 ACVRL1 96 1000 JNK-IN-8 ADCK3 CABC1 100 1000 JNK-IN-8 ADCK4 ADCK4 93 1000 JNK-IN-8 AKT1 AKT1 100 1000 JNK-IN-8 AKT2 AKT2 100 1000 JNK-IN-8 AKT3 AKT3 100 1000 JNK-IN-8 ALK ALK 85 1000 JNK-IN-8 AMPK-alpha1 PRKAA1 100 1000 JNK-IN-8 AMPK-alpha2 PRKAA2 84 1000 JNK-IN-8 ANKK1 ANKK1 75 1000 JNK-IN-8 ARK5 NUAK1 100 1000 JNK-IN-8 ASK1 MAP3K5 100 1000 JNK-IN-8 ASK2 MAP3K6 93 1000 JNK-IN-8 AURKA AURKA 100 1000 JNK-IN-8 AURKA AURKA 84 1000 JNK-IN-8 AURKB AURKB 83 1000 JNK-IN-8 AURKB AURKB 96 1000 JNK-IN-8 AURKC AURKC 95 1000 JNK-IN-8 -
Genes in Eyecare Geneseyedoc 3 W.M
Genes in Eyecare geneseyedoc 3 W.M. Lyle and T.D. Williams 15 Mar 04 This information has been gathered from several sources; however, the principal source is V. A. McKusick’s Mendelian Inheritance in Man on CD-ROM. Baltimore, Johns Hopkins University Press, 1998. Other sources include McKusick’s, Mendelian Inheritance in Man. Catalogs of Human Genes and Genetic Disorders. Baltimore. Johns Hopkins University Press 1998 (12th edition). http://www.ncbi.nlm.nih.gov/Omim See also S.P.Daiger, L.S. Sullivan, and B.J.F. Rossiter Ret Net http://www.sph.uth.tmc.edu/Retnet disease.htm/. Also E.I. Traboulsi’s, Genetic Diseases of the Eye, New York, Oxford University Press, 1998. And Genetics in Primary Eyecare and Clinical Medicine by M.R. Seashore and R.S.Wappner, Appleton and Lange 1996. M. Ridley’s book Genome published in 2000 by Perennial provides additional information. Ridley estimates that we have 60,000 to 80,000 genes. See also R.M. Henig’s book The Monk in the Garden: The Lost and Found Genius of Gregor Mendel, published by Houghton Mifflin in 2001 which tells about the Father of Genetics. The 3rd edition of F. H. Roy’s book Ocular Syndromes and Systemic Diseases published by Lippincott Williams & Wilkins in 2002 facilitates differential diagnosis. Additional information is provided in D. Pavan-Langston’s Manual of Ocular Diagnosis and Therapy (5th edition) published by Lippincott Williams & Wilkins in 2002. M.A. Foote wrote Basic Human Genetics for Medical Writers in the AMWA Journal 2002;17:7-17. A compilation such as this might suggest that one gene = one disease. -
Vascular Phenotypes in Nonvascular Subtypes of the Ehlers-Danlos Syndrome: a Systematic Review
SYSTEMATIC REVIEW Official journal of the American College of Medical Genetics and Genomics Vascular phenotypes in nonvascular subtypes of the Ehlers-Danlos syndrome: a systematic review Sanne D’hondt, MSc1, Tim Van Damme, MD1 and Fransiska Malfait, MD, PhD1 Purpose: Within the spectrum of the Ehlers-Danlos syndromes (53%), frequently reported in musculocontractural and classical- (EDS), vascular complications are usually associated with the like EDS; intracranial hemorrhages (18%), with a high risk in vascular subtype of EDS. Vascular complications are also observed dermatosparaxis EDS; and arterial dissections (16%), frequently in other EDS subtypes, but the reports are anecdotal and the reported in kyphoscoliotic and classical EDS. Other, more minor, information is dispersed. To better document the nature of vascular vascular complications were reported in cardiac-valvular, arthro- complications among “nonvascular” EDS subtypes, we performed chalasia, spondylodysplastic, and periodontal EDS. a systematic review. Conclusion: Potentially life-threatening vascular complications are Methods: We queried three databases for English-language a rare but important finding in several nonvascular EDS sub- studies from inception until May 2017, documenting both types, highlighting a need for more systematic documentation. This phenotypes and genotypes of patients with nonvascular EDS review will help familiarize clinicians with the spectrum of vascular subtypes. The outcome included the number and nature of vascular complications in EDS and guide follow-up and management. complications. Genet Med advance online publication 5 October 2017 Results: A total of 112 papers were included and data were collected from 467 patients, of whom 77 presented with a vascular Key Words: connective tissue disorder; Ehlers-Danlos syndrome; phenotype. -
Ophthalmology
Ophthalmology Information for health professionals MEDICAL GENETIC TESTING FOR OPHTHALMOLOGY Recent technologies, in particularly Next Generation Sequencing (NGS), allows fast, accurate and valuable diagnostic tests. For Ophthalmology, CGC Genetics has an extensive list of medical genetic tests with clinical integration of results by our Medical Geneticists. 1. EXOME SEQUENCING: Exome Sequencing is a very efficient strategy to study most exons of a patient’s genome, unraveling mutations associated with specific disorders or phenotypes. With this diagnostic strategy, patients can be studied with a significantly reduced turnaround time and cost. CGC Genetics has available 2 options for Exome Sequencing: • Whole Exome Sequencing (WES), which analyzes the entire exome (about 20 000 genes); • Disease Exome by CGC Genetics, which analyzes about 6 000 clinically-relevant genes. Any of these can be performed in the index case or in a Trio. 2. NGS PANELS For NGS panels, several genes associated with the same phenotype are simultaneously sequenced. These panels provide increased diagnostic capability with a significantly reduced turnaround time and cost. CGC Genetics has several NGS panels for Ophthalmology that are constantly updated (www.cgcgenetics.com). Any gene studied in exome or NGS panel can also be individually sequenced and analyzed for deletion/duplication events. 3. EXPERTISE IN MEDICAL GENETICS CGC Genetics has Medical Geneticists specialized in genetic counseling for ophthalmological diseases who may advice in choosing the most appropriate -
Fucosyltransferase Genes on Porcine Chromosome 6Q11 Are Closely Linked to the Blood Group Inhibitor (S) and Escherichia Coli F18 Receptor (ECF18R) Loci
Mammalian Genome 8, 736–741 (1997). © Springer-Verlag New York Inc. 1997 Two a(1,2) fucosyltransferase genes on porcine Chromosome 6q11 are closely linked to the blood group inhibitor (S) and Escherichia coli F18 receptor (ECF18R) loci E. Meijerink,1 R. Fries,1,*P.Vo¨geli,1 J. Masabanda,1 G. Wigger,1 C. Stricker,1 S. Neuenschwander,1 H.U. Bertschinger,2 G. Stranzinger1 1Institute of Animal Science, Swiss Federal Institute of Technology, ETH-Zentrum, CH-8092 Zurich, Switzerland 2Institute of Veterinary Bacteriology, University of Zurich, CH 8057 Zurich, Switzerland Received: 17 February 1997 / Accepted: 30 May 1997 Abstract. The Escherichia coli F18 receptor locus (ECF18R) has fimbriae F107, has been shown to be genetically controlled by the been genetically mapped to the halothane linkage group on porcine host and is inherited as a dominant trait (Bertschinger et al. 1993) Chromosome (Chr) 6. In an attempt to obtain candidate genes for with B being the susceptibility allele and b the resistance allele. this locus, we isolated 5 cosmids containing the a(1,2)fucosyl- The genetic locus for this E. coli F18 receptor (ECF18R) has been transferase genes FUT1, FUT2, and the pseudogene FUT2P from mapped to porcine Chr 6 (SSC6), based on its close linkage to the a porcine genomic library. Mapping by fluorescence in situ hy- S locus and other loci of the halothane (HAL) linkage group (Vo¨- bridization placed all these clones in band q11 of porcine Chr 6 geli et al. 1996). The epistatic S locus suppresses the phenotypic (SSC6q11). Sequence analysis of the cosmids resulted in the char- expression of the A-0 blood group system when being SsSs (Vo¨geli acterization of an open reading frame (ORF), 1098 bp in length, et al.