And Chimpanzee-Specific Cytogenetic Structures
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Genetic Analysis of Retinopathy in Type 1 Diabetes
Genetic Analysis of Retinopathy in Type 1 Diabetes by Sayed Mohsen Hosseini A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Institute of Medical Science University of Toronto © Copyright by S. Mohsen Hosseini 2014 Genetic Analysis of Retinopathy in Type 1 Diabetes Sayed Mohsen Hosseini Doctor of Philosophy Institute of Medical Science University of Toronto 2014 Abstract Diabetic retinopathy (DR) is a leading cause of blindness worldwide. Several lines of evidence suggest a genetic contribution to the risk of DR; however, no genetic variant has shown convincing association with DR in genome-wide association studies (GWAS). To identify common polymorphisms associated with DR, meta-GWAS were performed in three type 1 diabetes cohorts of White subjects: Diabetes Complications and Control Trial (DCCT, n=1304), Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR, n=603) and Renin-Angiotensin System Study (RASS, n=239). Severe (SDR) and mild (MDR) retinopathy outcomes were defined based on repeated fundus photographs in each study graded for retinopathy severity on the Early Treatment Diabetic Retinopathy Study (ETDRS) scale. Multivariable models accounted for glycemia (measured by A1C), diabetes duration and other relevant covariates in the association analyses of additive genotypes with SDR and MDR. Fixed-effects meta- analysis was used to combine the results of GWAS performed separately in WESDR, ii RASS and subgroups of DCCT, defined by cohort and treatment group. Top association signals were prioritized for replication, based on previous supporting knowledge from the literature, followed by replication in three independent white T1D studies: Genesis-GeneDiab (n=502), Steno (n=936) and FinnDiane (n=2194). -
Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma
Anatomy and Pathology Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma Sarah L. Lake,1 Sarah E. Coupland,1 Azzam F. G. Taktak,2 and Bertil E. Damato3 PURPOSE. To detect deletions and loss of heterozygosity of disease is fatal in 92% of patients within 2 years of diagnosis. chromosome 3 in a rare subset of fatal, disomy 3 uveal mela- Clinical and histopathologic risk factors for UM metastasis noma (UM), undetectable by fluorescence in situ hybridization include large basal tumor diameter (LBD), ciliary body involve- (FISH). ment, epithelioid cytomorphology, extracellular matrix peri- ϩ ETHODS odic acid-Schiff-positive (PAS ) loops, and high mitotic M . Multiplex ligation-dependent probe amplification 3,4 5 (MLPA) with the P027 UM assay was performed on formalin- count. Prescher et al. showed that a nonrandom genetic fixed, paraffin-embedded (FFPE) whole tumor sections from 19 change, monosomy 3, correlates strongly with metastatic death, and the correlation has since been confirmed by several disomy 3 metastasizing UMs. Whole-genome microarray analy- 3,6–10 ses using a single-nucleotide polymorphism microarray (aSNP) groups. Consequently, fluorescence in situ hybridization were performed on frozen tissue samples from four fatal dis- (FISH) detection of chromosome 3 using a centromeric probe omy 3 metastasizing UMs and three disomy 3 tumors with Ͼ5 became routine practice for UM prognostication; however, 5% years’ metastasis-free survival. to 20% of disomy 3 UM patients unexpectedly develop metas- tases.11 Attempts have therefore been made to identify the RESULTS. Two metastasizing UMs that had been classified as minimal region(s) of deletion on chromosome 3.12–15 Despite disomy 3 by FISH analysis of a small tumor sample were found these studies, little progress has been made in defining the key on MLPA analysis to show monosomy 3. -
Refinement and Discovery of New Hotspots of Copy-Number Variation
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector ARTICLE Refinement and Discovery of New Hotspots of Copy-Number Variation Associated with Autism Spectrum Disorder Santhosh Girirajan,1,5 Megan Y. Dennis,1,5 Carl Baker,1 Maika Malig,1 Bradley P. Coe,1 Catarina D. Campbell,1 Kenneth Mark,1 Tiffany H. Vu,1 Can Alkan,1 Ze Cheng,1 Leslie G. Biesecker,2 Raphael Bernier,3 and Evan E. Eichler1,4,* Rare copy-number variants (CNVs) have been implicated in autism and intellectual disability. These variants are large and affect many genes but lack clear specificity toward autism as opposed to developmental-delay phenotypes. We exploited the repeat architecture of the genome to target segmental duplication-mediated rearrangement hotspots (n ¼ 120, median size 1.78 Mbp, range 240 kbp to 13 Mbp) and smaller hotspots flanked by repetitive sequence (n ¼ 1,247, median size 79 kbp, range 3–96 kbp) in 2,588 autistic individuals from simplex and multiplex families and in 580 controls. Our analysis identified several recurrent large hotspot events, including association with 1q21 duplications, which are more likely to be identified in individuals with autism than in those with developmental delay (p ¼ 0.01; OR ¼ 2.7). Within larger hotspots, we also identified smaller atypical CNVs that implicated CHD1L and ACACA for the 1q21 and 17q12 deletions, respectively. Our analysis, however, suggested no overall increase in the burden of smaller hotspots in autistic individuals as compared to controls. By focusing on gene-disruptive events, we identified recurrent CNVs, including DPP10, PLCB1, TRPM1, NRXN1, FHIT, and HYDIN, that are enriched in autism. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
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. -
Multivariate Analysis Reveals Differentially Expressed Genes
www.nature.com/scientificreports OPEN Multivariate analysis reveals diferentially expressed genes among distinct subtypes of difuse astrocytic gliomas: diagnostic implications Nerea González‑García1,2, Ana Belén Nieto‑Librero1,2, Ana Luisa Vital3, Herminio José Tao4, María González‑Tablas2,5,6, Álvaro Otero2, Purifcación Galindo‑Villardón1,2, Alberto Orfao2,5,6 & María Dolores Tabernero2,5,6,7* Diagnosis and classifcation of gliomas mostly relies on histopathology and a few genetic markers. Here we interrogated microarray gene expression profles (GEP) of 268 difuse astrocytic gliomas—33 difuse astrocytomas (DA), 52 anaplastic astrocytomas (AA) and 183 primary glioblastoma (GBM)—based on multivariate analysis, to identify discriminatory GEP that might support precise histopathological tumor stratifcation, particularly among inconclusive cases with II–III grade diagnosed, which have diferent prognosis and treatment strategies. Microarrays based GEP was analyzed on 155 difuse astrocytic gliomas (discovery cohort) and validated in another 113 tumors (validation set) via sequential univariate analysis (pairwise comparison) for discriminatory gene selection, followed by nonnegative matrix factorization and canonical biplot for identifcation of discriminatory GEP among the distinct histological tumor subtypes. GEP data analysis identifed a set of 27 genes capable of diferentiating among distinct subtypes of gliomas that might support current histological classifcation. DA + AA showed similar molecular profles with only a few discriminatory genes -
The Genetics of Bipolar Disorder
Molecular Psychiatry (2008) 13, 742–771 & 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00 www.nature.com/mp FEATURE REVIEW The genetics of bipolar disorder: genome ‘hot regions,’ genes, new potential candidates and future directions A Serretti and L Mandelli Institute of Psychiatry, University of Bologna, Bologna, Italy Bipolar disorder (BP) is a complex disorder caused by a number of liability genes interacting with the environment. In recent years, a large number of linkage and association studies have been conducted producing an extremely large number of findings often not replicated or partially replicated. Further, results from linkage and association studies are not always easily comparable. Unfortunately, at present a comprehensive coverage of available evidence is still lacking. In the present paper, we summarized results obtained from both linkage and association studies in BP. Further, we indicated new potential interesting genes, located in genome ‘hot regions’ for BP and being expressed in the brain. We reviewed published studies on the subject till December 2007. We precisely localized regions where positive linkage has been found, by the NCBI Map viewer (http://www.ncbi.nlm.nih.gov/mapview/); further, we identified genes located in interesting areas and expressed in the brain, by the Entrez gene, Unigene databases (http://www.ncbi.nlm.nih.gov/entrez/) and Human Protein Reference Database (http://www.hprd.org); these genes could be of interest in future investigations. The review of association studies gave interesting results, as a number of genes seem to be definitively involved in BP, such as SLC6A4, TPH2, DRD4, SLC6A3, DAOA, DTNBP1, NRG1, DISC1 and BDNF. -
Gene Discovery in Developmental Neuropsychiatric Disorders : Clues from Chromosomal Rearrangements Thomas V
Yale University EliScholar – A Digital Platform for Scholarly Publishing at Yale Yale Medicine Thesis Digital Library School of Medicine 2005 Gene discovery in developmental neuropsychiatric disorders : clues from chromosomal rearrangements Thomas V. Fernandez Yale University Follow this and additional works at: http://elischolar.library.yale.edu/ymtdl Recommended Citation Fernandez, Thomas V., "Gene discovery in developmental neuropsychiatric disorders : clues from chromosomal rearrangements" (2005). Yale Medicine Thesis Digital Library. 2578. http://elischolar.library.yale.edu/ymtdl/2578 This Open Access Thesis is brought to you for free and open access by the School of Medicine at EliScholar – A Digital Platform for Scholarly Publishing at Yale. It has been accepted for inclusion in Yale Medicine Thesis Digital Library by an authorized administrator of EliScholar – A Digital Platform for Scholarly Publishing at Yale. For more information, please contact [email protected]. YALE UNIVERSITY CUSHING/WHITNEY MEDICAL LIBRARY Permission to photocopy or microfilm processing of this thesis for the purpose of individual scholarly consultation or reference is hereby granted by the author. This permission is not to be interpreted as affecting publication of this work or otherwise placing it in the public domain, and the author reserves all rights of ownership guaranteed under common law protection of unpublished manuscripts. Digitized by the Internet Archive in 2017 with funding from The National Endowment for the Humanities and the Arcadia Fund https://archive.org/details/genediscoveryindOOfern Gene discovery in developmental neuropsychiatric disorders: Clues from chromosomal rearrangements A Thesis Submitted to the Yale University School of Medicine In Partial Fulfillment of the Requirements for the Degree of Doctor of Medicine by Thomas V. -
The Human Genome Diversity and the Susceptibility to Autism Spectrum Disorders
Human Neuroplasticity and Education Pontifical Academy of Sciences, Scripta Varia 117, Vatican City 2011 www.pas.va/content/dam/accademia/pdf/sv117/sv117-bourgeron.pdf The Human Genome Diversity and the Susceptibility to Autism Spectrum Disorders Thomas Bourgeron1 Introduction The diagnosis of autism is based on impairments in reciprocal social communication and stereotyped behaviors. The term “autism spectrum dis- orders” (ASD) is used to refer to any patient that meets these diagnostic criteria. But beyond this unifying definition lies an extreme degree of clin- ical heterogeneity, ranging from profound to moderate impairments. In- deed, autism is not a single entity, but rather a complex phenotype thought to be caused by different types of defects in common pathways, producing similar behavioral phenotypes. The prevalence of ASD overall is about 1/100, but closer to 1/300 for typical autism [1]. ASD are more common in males than females with a 4:1 ratio [2, 3]. The first twin and family studies performed in last quarter of the 20th cen- tury conclusively described ASD as the most ‘genetic’ of neuropsychiatric disorders, with concordance rates of 82-92% in monozygotic (MZ) twins versus 1-10% in dizygotic (DZ) twins; sibling recurrence risk is 6% [2, 3]. However, recent studies have indicated that the concordance for ASD in DZ twins might be higher (>20%) than previously reported [4]. Furthermore the concordance for ASD in MZ could also be lower than originally suggested [5, 6]. All these studies pointed at a larger part of the environment and/or epigenetic factors in the susceptibility to ASD. -
Nanomechanics of Ig-Like Domains of Human Contactin (BIG-2)
J Mol Model (2011) 17:2313–2323 DOI 10.1007/s00894-011-1010-y ORIGINAL PAPER Nanomechanics of Ig-like domains of human contactin (BIG-2) Karolina Mikulska & Łukasz Pepłowski & Wiesław Nowak Received: 1 October 2010 /Accepted: 6 February 2011 /Published online: 29 March 2011 # The Author(s) 2011. This article is published with open access at Springerlink.com Abstract Contactins are modular extracellular cell matrix Abbreviations proteins that are present in the brain, and they are responsible AFM Atomic force microscope for the proper development and functioning of neurons. They Big-2 Contactin 4 contain six immunoglobulin-like IgC2 domains and four CNTN4 Contactin 4 fibronectin type III repeats. The interactions of contactin with FnIII Fibronectin type III-like domain other proteins are poorly understood. The mechanical prop- IgC2 Immunoglobulin-like C2-type domain erties of all IgC2 domains of human contactin 4 were studied PDB Protein data bank using a steered molecular dynamics approach and CHARMM MD Molecular dynamics force field with an explicit TIP3P water environment on a 10- SMD Steered molecular dynamics ns timescale. Force spectra of all domains were determined NHb Total number of hydrogen bonds computationally and the nanomechanical unfolding process is PTPRG Protein tyrosine phosphatase, receptor type, described. The domains show different mechanical stabilities. gamma The calculated maxima of the unfolding force are in the range PTPRZ Protein tyrosine phosphatase, receptor type, zeta of 900–1700 pN at a loading rate of 7 N/s. Our data indicate DSCAM Down’s syndrome cell adhesion molecule that critical regions of IgC2 domains 2 and 3, which are APP Amyloid precursor protein responsible for interactions with tyrosine phosphatases and CAM Cell adhesion molecule are important in nervous system development, are affected by even weak mechanical stretching. -
Genomic Portrait of a Sporadic Amyotrophic Lateral Sclerosis Case in a Large Spinocerebellar Ataxia Type 1 Family
Journal of Personalized Medicine Article Genomic Portrait of a Sporadic Amyotrophic Lateral Sclerosis Case in a Large Spinocerebellar Ataxia Type 1 Family Giovanna Morello 1,2, Giulia Gentile 1 , Rossella Spataro 3, Antonio Gianmaria Spampinato 1,4, 1 2 3 5, , Maria Guarnaccia , Salvatore Salomone , Vincenzo La Bella , Francesca Luisa Conforti * y 1, , and Sebastiano Cavallaro * y 1 Institute for Research and Biomedical Innovation (IRIB), Italian National Research Council (CNR), Via Paolo Gaifami, 18, 95125 Catania, Italy; [email protected] (G.M.); [email protected] (G.G.); [email protected] (A.G.S.); [email protected] (M.G.) 2 Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, 95123 Catania, Italy; [email protected] 3 ALS Clinical Research Center and Neurochemistry Laboratory, BioNeC, University of Palermo, 90127 Palermo, Italy; [email protected] (R.S.); [email protected] (V.L.B.) 4 Department of Mathematics and Computer Science, University of Catania, 95123 Catania, Italy 5 Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Arcavacata di Rende, 87036 Rende, Italy * Correspondence: [email protected] (F.L.C.); [email protected] (S.C.); Tel.: +39-0984-496204 (F.L.C.); +39-095-7338111 (S.C.); Fax: +39-0984-496203 (F.L.C.); +39-095-7338110 (S.C.) F.L.C. and S.C. are co-last authors on this work. y Received: 6 November 2020; Accepted: 30 November 2020; Published: 2 December 2020 Abstract: Background: Repeat expansions in the spinocerebellar ataxia type 1 (SCA1) gene ATXN1 increases the risk for amyotrophic lateral sclerosis (ALS), supporting a relationship between these disorders. -
Supplementary Information Contents
Supplementary Information Contents Supplementary Methods: Additional methods descriptions Supplementary Results: Biology of suicidality-associated loci Supplementary Figures Supplementary Figure 1: Flow chart of UK Biobank participants available for primary analyses (Ordinal GWAS and PRS analysis) Supplementary Figure 2: Flow chart of UK Biobank participants available for secondary analyses. The flow chart of participants is the same as Supplementary Figure 1 up to the highlighted box. Relatedness exclusions were applied for A) the DSH GWAS considering the categories Controls, Contemplated self-harm and Actual self-ham and B) the SIA GWAS considering the categories Controls, Suicidal ideation and attempted suicide. Supplementary Figure 3: Manhattan plot of GWAS of ordinal DSH in UK Biobank (N=100 234). Dashed red line = genome wide significance threshold (p<5x10-5). Inset: QQ plot for genome-wide association with DSH. Red line = theoretical distribution under the null hypothesis of no association. Supplementary Figure 4: Manhattan plot of GWAS of ordinal SIA in UK Biobank (N=108 090). Dashed red line = genome wide significance threshold (p<5x10-5). Inset: QQ plot for genome-wide association with SIA. Red line = theoretical distribution under the null hypothesis of no association. Supplementary Figure 5: Manhattan plot of gene-based GWAS of ordinal suicide in UK Biobank (N=122 935). Dashed red line = genome wide significance threshold (p<5x10-5). Inset: QQ plot for genome-wide association with suicidality in UK Biobank. Red line = theoretical distribution under the null hypothesis of no association. Supplementary Figure 6: Manhattan plot of gene-based GWAS of ordinal DSH in UK Biobank (N=100 234).