Genome-Wide Identification and Characterization of Well-Defined Genes Involved in Glaucoma and Pterygium Corneae

Total Page:16

File Type:pdf, Size:1020Kb

Genome-Wide Identification and Characterization of Well-Defined Genes Involved in Glaucoma and Pterygium Corneae Genome-wide identification and characterization of well-defined genes involved in glaucoma and pterygium corneae Den Naturwissenschaftlichen Fakultäten der Friedrich-Alexander-Universität Erlangen-Nürnberg zur Erlangung des Doktorgrades vorgelegt von Gabriela Chavarría Soley aus San José Als Dissertation genehmigt von der Naturwissenschaftlichen Fakultät der Universität Erlangen-Nürnberg Tag der mündlichen Prüfung: 27.03.2008 Vorsitzender der Promotionskommission: Prof. Dr. Eberhard Bänsch Erstberichterstatter: Prof. Dr. Georg Fey Zweitberichterstatter: Prof. Dr. Andreas Winterpacht ii Gedruckt mit Unterstützung des Deuschen Akademischen Austauschdienstes iii iv Index 1 Introduction....................................................................................................................... 1 1.1 Glaucoma, general aspects .................................................................................................. 1 1.1.1 Classification of glaucoma .............................................................................................................. 2 1.2 Genetics of POAG................................................................................................................3 1.2.1 Inheritance and implicated loci ...................................................................................................... 3 1.2.2 Known glaucoma genes .................................................................................................................. 6 1.2.2.1 Myocilin (MYOC) ................................................................................................................. 6 1.2.2.2 OPTN.................................................................................................................................... 7 1.2.2.3 WDR36 ................................................................................................................................. 8 1.3 Primary congenital glaucoma (PCG) ................................................................................. 8 1.3.1 CYP1B1 gene and protein............................................................................................................... 9 1.4 Pterygium corneae ............................................................................................................. 11 1.4.1 Genetics of Pterygium corneae...................................................................................................... 12 1.4.2 Factors implicated in the pathogenesis of pterygium corneae....................................................... 12 2 Methods............................................................................................................................ 14 2.1 Patients................................................................................................................................ 14 2.2 DNA standard methods ..................................................................................................... 14 2.2.1 DNA isolation ............................................................................................................................... 14 2.2.1.1 Salting out procedure for DNA extraction...................................................................... 14 2.2.1.2 Automated DNA isolation................................................................................................. 15 2.2.2 Agarose gel electrophoresis .......................................................................................................... 15 2.2.3 Gel extraction of PCR products..................................................................................................... 15 2.2.4 Quantification of dsDNA .............................................................................................................. 15 2.3 RNA standard methods ..................................................................................................... 15 2.3.1 RNA isolation................................................................................................................................ 15 2.3.2 Quantification of RNA with absorbance at 260nm ....................................................................... 16 2.3.3 Evaluation of RNA quality............................................................................................................ 16 2.4 PCR (polymerase chain reaction), microsatellite analysis, and sequencing ................. 16 2.4.1 Polymerase chain reaction (PCR).................................................................................................. 16 2.4.2 Microsatellite Analysis.................................................................................................................. 16 2.4.3 Purification of PCR products ........................................................................................................ 17 2.4.3.1 Enzymatic purification of PCR products ........................................................................ 17 2.4.3.2 Purification of PCR-products magnetic beads.............................................................. 17 2.4.4 Sequencing of purified PCR products with the Sanger method .................................................... 17 2.4.5 Purification of sequencing products with magnetic beads ............................................................ 18 2.5 Plasmid procedures............................................................................................................ 18 2.5.1 Site-directed mutagenesis.............................................................................................................. 18 2.5.2 Midi Plasmid-DNA-Preparation....................................................................................................19 2.6 Yeast methods..................................................................................................................... 19 2.6.1 Yeast Stocks.................................................................................................................................. 19 2.6.2 Competent yeast cells.................................................................................................................... 19 2.6.3 Yeast transformation ..................................................................................................................... 19 2.6.4 Induction of expression and microsome isolation ......................................................................... 20 2.6.5 Microsome Isolation...................................................................................................................... 20 2.6.6 Determination of enzymatic activity .............................................................................................20 2.7 Standard protein methods................................................................................................. 20 2.7.1 Determination of total protein concentration................................................................................. 20 2.7.2 Western Blot.................................................................................................................................. 20 2.8 Bioinformatics tools ........................................................................................................... 21 2.8.1 PCR primer design ........................................................................................................................ 21 2.8.2 Sequencing analysis ...................................................................................................................... 21 v 2.8.3 Microsatellite Analysis.................................................................................................................. 21 2.8.4 Genome Browsers ......................................................................................................................... 21 2.8.5 Single nucleotide polymorphisms (SNPs) databases..................................................................... 21 2.8.6 Linkage disequilibrium visualization ............................................................................................22 2.8.7 Haplotype reconstruction .............................................................................................................. 22 2.8.8 Multiple sequence alignment......................................................................................................... 22 2.8.9 Expression data analysis................................................................................................................ 22 2.8.10 Gene Ontology ......................................................................................................................... 22 2.9 Nomenclature ..................................................................................................................... 22 2.10 Reagents and Materials ..................................................................................................... 23 2.10.1 Kits ........................................................................................................................................... 23 2.10.2 Instruments ............................................................................................................................... 23 2.10.3 Enzymes ................................................................................................................................... 23 2.10.4 Plattes and other consumables.................................................................................................
Recommended publications
  • Expression Analysis of Asthma Candidate Genes During Human and Murine Lung Development
    Expression analysis of asthma candidate genes during human and murine lung development The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Melén, Erik, Alvin T Kho, Sunita Sharma, Roger Gaedigk, J Steven Leeder, Thomas J Mariani, Vincent J Carey, Scott T Weiss, and Kelan G Tantisira. 2011. Expression analysis of asthma candidate genes during human and murine lung development. Respiratory Research 12, no. 1: 86. doi:10.1186/1465-9921-12-86. Published Version doi:10.1186/1465-9921-12-86 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:27002794 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 Melén et al. Respiratory Research 2011, 12:86 http://respiratory-research.com/content/12/1/86 RESEARCH Open Access Expression analysis of asthma candidate genes during human and murine lung development Erik Melén1,2,3*, Alvin T Kho4, Sunita Sharma1,5, Roger Gaedigk6, J Steven Leeder6, Thomas J Mariani7, Vincent J Carey1, Scott T Weiss1,5,8 and Kelan G Tantisira1,5,8 Abstract Background: Little is known about the role of most asthma susceptibility genes during human lung development. Genetic determinants for normal lung development are not only important early in life, but also for later lung function. Objective: To investigate the role of expression patterns of well-defined asthma susceptibility genes during human and murine lung development.
    [Show full text]
  • Exome Sequencing Identifies Gene Variants And
    Hamvas et al. BMC Genetics (2018) 19:94 https://doi.org/10.1186/s12863-018-0679-7 RESEARCHARTICLE Open Access Exome sequencing identifies gene variants and networks associated with extreme respiratory outcomes following preterm birth Aaron Hamvas1,9*, Rui Feng2, Yingtao Bi3, Fan Wang2, Soumyaroop Bhattacharya4, Jared Mereness4, Madhurima Kaushal5, C Michael Cotten6, Philip L Ballard7, Thomas J Mariani4,8* and PROP Investigators Abstract Background: Previous studies have identified genetic variants associated with bronchopulmonary dysplasia (BPD) in extremely preterm infants. However, findings with genome-wide significance have been rare, and not replicated. We hypothesized that whole exome sequencing (WES) of premature subjects with extremely divergent phenotypic outcomes could facilitate the identification of genetic variants or gene networks contributing disease risk. Results: The Prematurity and Respiratory Outcomes Program (PROP) recruited a cohort of > 765 extremely preterm infants for the identification of markers of respiratory morbidity. We completed WES on 146 PROP subjects (85 affected, 61 unaffected) representing extreme phenotypes of early respiratory morbidity. We tested for association between disease status and individual common variants, screened for rare variants exclusive to either affected or unaffected subjects, and tested the combined association of variants across gene loci. Pathway analysis was performed and disease-related expression patterns were assessed. Marginal association with BPD was observed for numerous common and rare variants. We identified 345 genes with variants unique to BPD-affected preterm subjects, and 292 genes with variants unique to our unaffected preterm subjects. Of these unique variants, 28 (19 in the affected cohort and 9 in unaffected cohort) replicate a prior WES study of BPD-associated variants.
    [Show full text]
  • Análise Integrativa De Perfis Transcricionais De Pacientes Com
    UNIVERSIDADE DE SÃO PAULO FACULDADE DE MEDICINA DE RIBEIRÃO PRETO PROGRAMA DE PÓS-GRADUAÇÃO EM GENÉTICA ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Ribeirão Preto – 2012 ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Tese apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo para obtenção do título de Doutor em Ciências. Área de Concentração: Genética Orientador: Prof. Dr. Eduardo Antonio Donadi Co-orientador: Prof. Dr. Geraldo A. S. Passos Ribeirão Preto – 2012 AUTORIZO A REPRODUÇÃO E DIVULGAÇÃO TOTAL OU PARCIAL DESTE TRABALHO, POR QUALQUER MEIO CONVENCIONAL OU ELETRÔNICO, PARA FINS DE ESTUDO E PESQUISA, DESDE QUE CITADA A FONTE. FICHA CATALOGRÁFICA Evangelista, Adriane Feijó Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. Ribeirão Preto, 2012 192p. Tese de Doutorado apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo. Área de Concentração: Genética. Orientador: Donadi, Eduardo Antonio Co-orientador: Passos, Geraldo A. 1. Expressão gênica – microarrays 2. Análise bioinformática por module maps 3. Diabetes mellitus tipo 1 4. Diabetes mellitus tipo 2 5. Diabetes mellitus gestacional FOLHA DE APROVAÇÃO ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas.
    [Show full text]
  • RNA Sequencing Reveals a Diverse and Dynamic Repertoire of the Xenopus Tropicalis Transcriptome Over Development
    Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press Resource RNA sequencing reveals a diverse and dynamic repertoire of the Xenopus tropicalis transcriptome over development Meng How Tan,1,6,7 Kin Fai Au,2,6 Arielle L. Yablonovitch,1,3,6 Andrea E. Wills,1 Jason Chuang,4 Julie C. Baker,1 Wing Hung Wong,2,5 and Jin Billy Li1,7 1Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA; 2Department of Statistics, School of Humanities and Sciences, Stanford University, Stanford, California 94305, USA; 3Program in Biophysics, School of Humanities and Sciences, Stanford University, Stanford, California 94305, USA; 4Department of Computer Science, School of Engineering, Stanford University, Stanford, California 94305, USA; 5Department of Health Research and Policy, Stanford University School of Medicine, Stanford, California 94305, USA The Xenopus embryo has provided key insights into fate specification, the cell cycle, and other fundamental developmental and cellular processes, yet a comprehensive understanding of its transcriptome is lacking. Here, we used paired end RNA sequencing (RNA-seq) to explore the transcriptome of Xenopus tropicalis in 23 distinct developmental stages. We determined expression levels of all genes annotated in RefSeq and Ensembl and showed for the first time on a genome-wide scale that, despite a general state of transcriptional silence in the earliest stages of development, approximately 150 genes are tran- scribed prior to the midblastula transition. In addition, our splicing analysis uncovered more than 10,000 novel splice junctions at each stage and revealed that many known genes have additional unannotated isoforms.
    [Show full text]
  • "The Genecards Suite: from Gene Data Mining to Disease Genome Sequence Analyses". In: Current Protocols in Bioinformat
    The GeneCards Suite: From Gene Data UNIT 1.30 Mining to Disease Genome Sequence Analyses Gil Stelzer,1,5 Naomi Rosen,1,5 Inbar Plaschkes,1,2 Shahar Zimmerman,1 Michal Twik,1 Simon Fishilevich,1 Tsippi Iny Stein,1 Ron Nudel,1 Iris Lieder,2 Yaron Mazor,2 Sergey Kaplan,2 Dvir Dahary,2,4 David Warshawsky,3 Yaron Guan-Golan,3 Asher Kohn,3 Noa Rappaport,1 Marilyn Safran,1 and Doron Lancet1,6 1Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel 2LifeMap Sciences Ltd., Tel Aviv, Israel 3LifeMap Sciences Inc., Marshfield, Massachusetts 4Toldot Genetics Ltd., Hod Hasharon, Israel 5These authors contributed equally to the paper 6Corresponding author GeneCards, the human gene compendium, enables researchers to effectively navigate and inter-relate the wide universe of human genes, diseases, variants, proteins, cells, and biological pathways. Our recently launched Version 4 has a revamped infrastructure facilitating faster data updates, better-targeted data queries, and friendlier user experience. It also provides a stronger foundation for the GeneCards suite of companion databases and analysis tools. Improved data unification includes gene-disease links via MalaCards and merged biological pathways via PathCards, as well as drug information and proteome expression. VarElect, another suite member, is a phenotype prioritizer for next-generation sequencing, leveraging the GeneCards and MalaCards knowledgebase. It au- tomatically infers direct and indirect scored associations between hundreds or even thousands of variant-containing genes and disease phenotype terms. Var- Elect’s capabilities, either independently or within TGex, our comprehensive variant analysis pipeline, help prepare for the challenge of clinical projects that involve thousands of exome/genome NGS analyses.
    [Show full text]
  • Differential Expression Profile Prioritization of Positional Candidate Glaucoma Genes the GLC1C Locus
    LABORATORY SCIENCES Differential Expression Profile Prioritization of Positional Candidate Glaucoma Genes The GLC1C Locus Frank W. Rozsa, PhD; Kathleen M. Scott, BS; Hemant Pawar, PhD; John R. Samples, MD; Mary K. Wirtz, PhD; Julia E. Richards, PhD Objectives: To develop and apply a model for priori- est because of moderate expression and changes in tization of candidate glaucoma genes. expression. Transcription factor ZBTB38 emerges as an interesting candidate gene because of the overall expres- Methods: This Affymetrix GeneChip (Affymetrix, Santa sion level, differential expression, and function. Clara, Calif) study of gene expression in primary cul- ture human trabecular meshwork cells uses a positional Conclusions: Only1geneintheGLC1C interval fits our differential expression profile model for prioritization of model for differential expression under multiple glau- candidate genes within the GLC1C genetic inclusion in- coma risk conditions. The use of multiple prioritization terval. models resulted in filtering 7 candidate genes of higher interest out of the 41 known genes in the region. Results: Sixteen genes were expressed under all condi- tions within the GLC1C interval. TMEM22 was the only Clinical Relevance: This study identified a small sub- gene within the interval with differential expression in set of genes that are most likely to harbor mutations that the same direction under both conditions tested. Two cause glaucoma linked to GLC1C. genes, ATP1B3 and COPB2, are of interest in the con- text of a protein-misfolding model for candidate selec- tion. SLC25A36, PCCB, and FNDC6 are of lesser inter- Arch Ophthalmol. 2007;125:117-127 IGH PREVALENCE AND PO- identification of additional GLC1C fami- tential for severe out- lies7,18-20 who provide optimal samples for come combine to make screening candidate genes for muta- adult-onset primary tions.7,18,20 The existence of 2 distinct open-angle glaucoma GLC1C haplotypes suggests that muta- (POAG) a significant public health prob- tions will not be limited to rare descen- H1 lem.
    [Show full text]
  • A Comprehensive Map of Disease Networks and Molecular Drug Discoveries for Glaucoma Haixin Wang1,2,3, Yanhui Deng1, Ling Wan4 & Lulin Huang1,2,3 ✉
    www.nature.com/scientificreports OPEN A comprehensive map of disease networks and molecular drug discoveries for glaucoma Haixin Wang1,2,3, Yanhui Deng1, Ling Wan4 & Lulin Huang1,2,3 ✉ Glaucoma is the leading cause of irreversible blindness worldwide. The molecular etiology of glaucoma is complex and unclear. At present, there are few drugs available for glaucoma treatment. The aim of the present study was to perform a systematic analysis of glaucoma candidate drugs/chemicals based on glaucoma genes, including genetic factors and diferentially expressed (DE) genes. In total, 401 genes from the genetic databases and 1656 genes from the DE gene analysis were included in further analyses. In terms of glaucoma-related genetic factors, 54 pathways were signifcantly enriched (FDR < 0.05), and 96 pathways for DE genes were signifcantly enriched (FDR < 0.05). A search of the PheWAS database for diseases associated with glaucoma-related genes returned 1,289 diseases, and a search for diseases associated with DE glaucoma-related genes returned 1,356 diseases. Cardiovascular diseases, neurodegenerative diseases, cancer, and ophthalmic diseases were highly related to glaucoma genes. A search of the DGIdb, KEGG, and CLUE databases revealed a set of drugs/chemicals targeting glaucoma genes. A subsequent analysis of the electronic medical records (EMRs) of 136,128 patients treated in Sichuan Provincial People’s Hospital for candidate drug usage and the onset of glaucoma revealed nine candidate drugs. Among these drugs, individuals treated with nicardipine had the lowest incidence of glaucoma. Taken together with the information from the drug databases, the 40 most likely candidate drugs for glaucoma treatment were highlighted.
    [Show full text]
  • HGF, AKR1B10 and AKR1C3
    EXPERIMENTAL AND THERAPEUTIC MEDICINE 16: 5103-5111, 2018 Transcriptional profiling analysis predicts potential biomarkers for glaucoma: HGF, AKR1B10 and AKR1C3 QIAOLI NIE1 and XIAOYAN ZHANG2 1Department of Ophthalmology, The Second People's Hospital of Jinan, Jinan, Shandong 250001; 2Department of Ophthalmology, The People's Hospital of Shouguang, Weifang, Shandong 262700, P.R. China Received October 13, 2017; Accepted July 26, 2018 DOI: 10.3892/etm.2018.6875 Abstract. Glaucoma results in damage to the optic nerve optic nerve and vision loss (1). The risk factors of glaucoma and vision loss. The aim of this study was to screen more include increased pressure in the eye and family history of high accurate biomarkers and targets for glaucoma. The datasets blood pressure, obesity and migraines (2). Once vision loss E-GEOD-7144 and E-MEXP-3427 were screened for differently from glaucoma occurs, it will be permanent (3). Therefore, the expressed genes (DEGs) by significance analysis of microarrays. exact pathogenesis requires research for prevention, diagnosis Functional and pathway enrichment analysis were processed. and treatment of glaucoma. Pathway relationship networks and gene co-expression networks Several important genes and their molecular mechanisms were constructed. DEGs of disease and treatment with the have been found to be related with glaucoma. The research same symbols were of interest. RT-qPCR was processed to of Skarie and Link revealed that WDR36 has a negative verify the expression of key DEGs. A total of 1,019 DEGs of correlation with p53 stress-response pathway in the primary glaucoma were identified and 93 DEGs in transforming growth open-angle glaucoma (4).
    [Show full text]
  • Table S1. 103 Ferroptosis-Related Genes Retrieved from the Genecards
    Table S1. 103 ferroptosis-related genes retrieved from the GeneCards. Gene Symbol Description Category GPX4 Glutathione Peroxidase 4 Protein Coding AIFM2 Apoptosis Inducing Factor Mitochondria Associated 2 Protein Coding TP53 Tumor Protein P53 Protein Coding ACSL4 Acyl-CoA Synthetase Long Chain Family Member 4 Protein Coding SLC7A11 Solute Carrier Family 7 Member 11 Protein Coding VDAC2 Voltage Dependent Anion Channel 2 Protein Coding VDAC3 Voltage Dependent Anion Channel 3 Protein Coding ATG5 Autophagy Related 5 Protein Coding ATG7 Autophagy Related 7 Protein Coding NCOA4 Nuclear Receptor Coactivator 4 Protein Coding HMOX1 Heme Oxygenase 1 Protein Coding SLC3A2 Solute Carrier Family 3 Member 2 Protein Coding ALOX15 Arachidonate 15-Lipoxygenase Protein Coding BECN1 Beclin 1 Protein Coding PRKAA1 Protein Kinase AMP-Activated Catalytic Subunit Alpha 1 Protein Coding SAT1 Spermidine/Spermine N1-Acetyltransferase 1 Protein Coding NF2 Neurofibromin 2 Protein Coding YAP1 Yes1 Associated Transcriptional Regulator Protein Coding FTH1 Ferritin Heavy Chain 1 Protein Coding TF Transferrin Protein Coding TFRC Transferrin Receptor Protein Coding FTL Ferritin Light Chain Protein Coding CYBB Cytochrome B-245 Beta Chain Protein Coding GSS Glutathione Synthetase Protein Coding CP Ceruloplasmin Protein Coding PRNP Prion Protein Protein Coding SLC11A2 Solute Carrier Family 11 Member 2 Protein Coding SLC40A1 Solute Carrier Family 40 Member 1 Protein Coding STEAP3 STEAP3 Metalloreductase Protein Coding ACSL1 Acyl-CoA Synthetase Long Chain Family Member 1 Protein
    [Show full text]
  • Nuclear and Mitochondrial Analysis of Patients with Primary Angle-Closure Glaucoma
    Nuclear and Mitochondrial Analysis of Patients with Primary Angle-Closure Glaucoma Khaled K. Abu-Amero,1,2 Jose Morales,3 Mazen N. Osman,1,2 and Thomas M. Bosley4,5 PURPOSE. Certain types of glaucoma are linked to nuclear ge- cases according to signs and symptoms at the time of diagno- netic mutations or to mitochondrial disturbances. In this study, sis.1 Its prevalence varies greatly depending on the population patients with primary angle-closure glaucoma (PACG) were involved, from a low of 0.1% among Europeans2,3 to a high of examined for mutations in nuclear genes reported to be asso- 2.65% among Eskimos older than 40 years,4 with Asian popu- ciated with glaucoma and for possible mitochondrial abnormal- lations typically having an intermediate prevalence of approx- ities. imately 0.8%.5 PACG is less common than primary open-angle 6 ETHODS glaucoma (POAG) in the Western hemisphere, but its preva- M . In patients with PACG, the nuclear genes MYOC, 7,8 OPTN, CYP1B1, WDR36, OPA1, and OPA3 were sequenced, lence in some parts of the globe is similar to that of POAG. the entire mitochondrial (mt)DNA coding region was se- More than 15 genetic loci and seven genes have been reported in association with POAG,9 the two most important of quenced, relative mtDNA content was measured, and mito- 10,11 chondrial respiratory activity (MRA) was assessed. which are MYOC and OPTN. Only isolated patients with PACG have been reported to have MYOC mutations, including RESULTS. No novel or previously reported mutations were two with combined-mechanism glaucoma.12,13 A recent study present in the nuclear genes MYOC, OPTN, CYP1B1, WDR36, screened 78 Taiwanese patients with acute PACG for occur- OPA1, and OPA3 in 29 patients with PACG.
    [Show full text]
  • Genomics of Asthma, Allergy and Chronic Rhinosinusitis
    Laulajainen‑Hongisto et al. Clin Transl Allergy (2020) 10:45 https://doi.org/10.1186/s13601‑020‑00347‑6 Clinical and Translational Allergy REVIEW Open Access Genomics of asthma, allergy and chronic rhinosinusitis: novel concepts and relevance in airway mucosa Anu Laulajainen‑Hongisto1,2†, Annina Lyly1,3*† , Tanzeela Hanif4, Kishor Dhaygude4, Matti Kankainen5,6,7, Risto Renkonen4,5, Kati Donner6, Pirkko Mattila4,6, Tuomas Jartti8, Jean Bousquet9,10,11, Paula Kauppi3† and Sanna Toppila‑Salmi3,4† Abstract Genome wide association studies (GWASs) have revealed several airway disease‑associated risk loci. Their role in the onset of asthma, allergic rhinitis (AR) or chronic rhinosinusitis (CRS), however, is not yet fully understood. The aim of this review is to evaluate the airway relevance of loci and genes identifed in GWAS studies. GWASs were searched from databases, and a list of loci associating signifcantly (p < 10–8) with asthma, AR and CRS was created. This yielded a total of 267 signifcantly asthma/AR–associated loci from 31 GWASs. No signifcant CRS ‑associated loci were found in this search. A total of 170 protein coding genes were connected to these loci. Of these, 76/170 (44%) showed bronchial epithelial protein expression in stained microscopic fgures of Human Protein Atlas (HPA), and 61/170 (36%) had a literature report of having airway epithelial function. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation analyses were performed, and 19 functional protein categories were found as signif‑ cantly (p < 0.05) enriched among these genes. These were related to cytokine production, cell activation and adaptive immune response, and all were strongly connected in network analysis.
    [Show full text]
  • Heterozygous Loss-Of-Function Variants in CYP1B1 Predispose to Primary Open-Angle Glaucoma
    See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/26706621 Heterozygous Loss-of-Function Variants in CYP1B1 Predispose to Primary Open-Angle Glaucoma Article in Investigative ophthalmology & visual science · August 2009 DOI: 10.1167/iovs.09-3880 · Source: PubMed CITATIONS READS 48 511 9 authors, including: Francesca Pasutto Gabriela Chavarria Friedrich-Alexander-University of Erlangen-Nürnberg University of Costa Rica 64 PUBLICATIONS 1,746 CITATIONS 20 PUBLICATIONS 298 CITATIONS SEE PROFILE SEE PROFILE Christian Mardin Magnus Ingelman-Sundberg Friedrich-Alexander-University of Erlangen-Nürnberg Karolinska Institutet 193 PUBLICATIONS 3,183 CITATIONS 600 PUBLICATIONS 33,507 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: Pharmacoepigenetics View project Erlanger Glaukom-Register View project All content following this page was uploaded by Gabriela Chavarria on 02 June 2014. The user has requested enhancement of the downloaded file. Glaucoma Heterozygous Loss-of-Function Variants in CYP1B1 Predispose to Primary Open-Angle Glaucoma Francesca Pasutto,1 Gabriela Chavarria-Soley,1 Christian Y. Mardin,2 Karin Michels-Rautenstrauss,1 Magnus Ingelman-Sundberg,3 Lorena Ferna´ndez-Martínez,1 Bernhard H. F. Weber,4 Bernd Rautenstrauss,1,5 and Andre´ Reis1 PURPOSE. Although primary congenital glaucoma (PCG)–associ- CONCLUSIONS. Heterozygous CYP1B1 mutations with absent or ated CYP1B1 mutations in the heterozygous state have been reduced relative enzymatic activity can be considered a risk evaluated for association with primary open-angle glaucoma factor for POAG. (Invest Ophthalmol Vis Sci. 2010;51: (POAG) in several small studies, their contribution to the oc- 249–254) DOI:10.1167/iovs.09-3880 currence of POAG is still controversial.
    [Show full text]