Molecular Genetics of Schizophrenia and Related Intermediate
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Ciliopathiesneuromuscularciliopathies Disorders Disorders Ciliopathiesciliopathies
NeuromuscularCiliopathiesNeuromuscularCiliopathies Disorders Disorders CiliopathiesCiliopathies AboutAbout EGL EGL Genet Geneticsics EGLEGL Genetics Genetics specializes specializes in ingenetic genetic diagnostic diagnostic testing, testing, with with ne nearlyarly 50 50 years years of of clinical clinical experience experience and and board-certified board-certified labor laboratoryatory directorsdirectors and and genetic genetic counselors counselors reporting reporting out out cases. cases. EGL EGL Genet Geneticsics offers offers a combineda combined 1000 1000 molecular molecular genetics, genetics, biochemical biochemical genetics,genetics, and and cytogenetics cytogenetics tests tests under under one one roof roof and and custom custom test testinging for for all all medically medically relevant relevant genes, genes, for for domestic domestic andand international international clients. clients. EquallyEqually important important to to improving improving patient patient care care through through quality quality genetic genetic testing testing is is the the contribution contribution EGL EGL Genetics Genetics makes makes back back to to thethe scientific scientific and and medical medical communities. communities. EGL EGL Genetics Genetics is is one one of of only only a afew few clinical clinical diagnostic diagnostic laboratories laboratories to to openly openly share share data data withwith the the NCBI NCBI freely freely available available public public database database ClinVar ClinVar (>35,000 (>35,000 variants variants on on >1700 >1700 genes) genes) and and is isalso also the the only only laboratory laboratory with with a a frefree oen olinnlein dea dtabtaabsaes (eE m(EVmCVlaCslas)s,s f)e, afetuatruinrgin ag vaa vraiarniatn ctl acslasisfiscifiactiaotino sne saercahrc ahn adn rde rpeoprot rrte rqeuqeuset sint tinetrefarcfaec, ew, hwichhic fha cfailcitialiteatse rsa praidp id interactiveinteractive curation curation and and reporting reporting of of variants. -
Prioritization and Evaluation of Depression Candidate Genes by Combining Multidimensional Data Resources
Prioritization and Evaluation of Depression Candidate Genes by Combining Multidimensional Data Resources Chung-Feng Kao1, Yu-Sheng Fang2, Zhongming Zhao3, Po-Hsiu Kuo1,2,4* 1 Department of Public Health and Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan, 2 Institute of Clinical Medicine, School of Medicine, National Cheng-Kung University, Tainan, Taiwan, 3 Departments of Biomedical Informatics and Psychiatry, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America, 4 Research Center for Genes, Environment and Human Health, National Taiwan University, Taipei, Taiwan Abstract Background: Large scale and individual genetic studies have suggested numerous susceptible genes for depression in the past decade without conclusive results. There is a strong need to review and integrate multi-dimensional data for follow up validation. The present study aimed to apply prioritization procedures to build-up an evidence-based candidate genes dataset for depression. Methods: Depression candidate genes were collected in human and animal studies across various data resources. Each gene was scored according to its magnitude of evidence related to depression and was multiplied by a source-specific weight to form a combined score measure. All genes were evaluated through a prioritization system to obtain an optimal weight matrix to rank their relative importance with depression using the combined scores. The resulting candidate gene list for depression (DEPgenes) was further evaluated by a genome-wide association (GWA) dataset and microarray gene expression in human tissues. Results: A total of 5,055 candidate genes (4,850 genes from human and 387 genes from animal studies with 182 being overlapped) were included from seven data sources. -
Supplemental Table S1
Entrez Gene Symbol Gene Name Affymetrix EST Glomchip SAGE Stanford Literature HPA confirmed Gene ID Profiling profiling Profiling Profiling array profiling confirmed 1 2 A2M alpha-2-macroglobulin 0 0 0 1 0 2 10347 ABCA7 ATP-binding cassette, sub-family A (ABC1), member 7 1 0 0 0 0 3 10350 ABCA9 ATP-binding cassette, sub-family A (ABC1), member 9 1 0 0 0 0 4 10057 ABCC5 ATP-binding cassette, sub-family C (CFTR/MRP), member 5 1 0 0 0 0 5 10060 ABCC9 ATP-binding cassette, sub-family C (CFTR/MRP), member 9 1 0 0 0 0 6 79575 ABHD8 abhydrolase domain containing 8 1 0 0 0 0 7 51225 ABI3 ABI gene family, member 3 1 0 1 0 0 8 29 ABR active BCR-related gene 1 0 0 0 0 9 25841 ABTB2 ankyrin repeat and BTB (POZ) domain containing 2 1 0 1 0 0 10 30 ACAA1 acetyl-Coenzyme A acyltransferase 1 (peroxisomal 3-oxoacyl-Coenzyme A thiol 0 1 0 0 0 11 43 ACHE acetylcholinesterase (Yt blood group) 1 0 0 0 0 12 58 ACTA1 actin, alpha 1, skeletal muscle 0 1 0 0 0 13 60 ACTB actin, beta 01000 1 14 71 ACTG1 actin, gamma 1 0 1 0 0 0 15 81 ACTN4 actinin, alpha 4 0 0 1 1 1 10700177 16 10096 ACTR3 ARP3 actin-related protein 3 homolog (yeast) 0 1 0 0 0 17 94 ACVRL1 activin A receptor type II-like 1 1 0 1 0 0 18 8038 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 1 0 0 0 0 19 8751 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 1 0 0 0 0 20 8728 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 1 0 0 0 0 21 81792 ADAMTS12 ADAM metallopeptidase with thrombospondin type 1 motif, 12 1 0 0 0 0 22 9507 ADAMTS4 ADAM metallopeptidase with thrombospondin type 1 -
Supplemental Table 1. Complete Gene Lists and GO Terms from Figure 3C
Supplemental Table 1. Complete gene lists and GO terms from Figure 3C. Path 1 Genes: RP11-34P13.15, RP4-758J18.10, VWA1, CHD5, AZIN2, FOXO6, RP11-403I13.8, ARHGAP30, RGS4, LRRN2, RASSF5, SERTAD4, GJC2, RHOU, REEP1, FOXI3, SH3RF3, COL4A4, ZDHHC23, FGFR3, PPP2R2C, CTD-2031P19.4, RNF182, GRM4, PRR15, DGKI, CHMP4C, CALB1, SPAG1, KLF4, ENG, RET, GDF10, ADAMTS14, SPOCK2, MBL1P, ADAM8, LRP4-AS1, CARNS1, DGAT2, CRYAB, AP000783.1, OPCML, PLEKHG6, GDF3, EMP1, RASSF9, FAM101A, STON2, GREM1, ACTC1, CORO2B, FURIN, WFIKKN1, BAIAP3, TMC5, HS3ST4, ZFHX3, NLRP1, RASD1, CACNG4, EMILIN2, L3MBTL4, KLHL14, HMSD, RP11-849I19.1, SALL3, GADD45B, KANK3, CTC- 526N19.1, ZNF888, MMP9, BMP7, PIK3IP1, MCHR1, SYTL5, CAMK2N1, PINK1, ID3, PTPRU, MANEAL, MCOLN3, LRRC8C, NTNG1, KCNC4, RP11, 430C7.5, C1orf95, ID2-AS1, ID2, GDF7, KCNG3, RGPD8, PSD4, CCDC74B, BMPR2, KAT2B, LINC00693, ZNF654, FILIP1L, SH3TC1, CPEB2, NPFFR2, TRPC3, RP11-752L20.3, FAM198B, TLL1, CDH9, PDZD2, CHSY3, GALNT10, FOXQ1, ATXN1, ID4, COL11A2, CNR1, GTF2IP4, FZD1, PAX5, RP11-35N6.1, UNC5B, NKX1-2, FAM196A, EBF3, PRRG4, LRP4, SYT7, PLBD1, GRASP, ALX1, HIP1R, LPAR6, SLITRK6, C16orf89, RP11-491F9.1, MMP2, B3GNT9, NXPH3, TNRC6C-AS1, LDLRAD4, NOL4, SMAD7, HCN2, PDE4A, KANK2, SAMD1, EXOC3L2, IL11, EMILIN3, KCNB1, DOK5, EEF1A2, A4GALT, ADGRG2, ELF4, ABCD1 Term Count % PValue Genes regulation of pathway-restricted GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, SMAD protein phosphorylation 9 6.34 1.31E-08 ENG pathway-restricted SMAD protein GDF3, SMAD7, GDF7, BMPR2, GDF10, GREM1, BMP7, LDLRAD4, phosphorylation -
(12) Patent Application Publication (10) Pub. No.: US 2012/0264.634 A1 Amersdorfer Et Al
US 20120264.634A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2012/0264.634 A1 Amersdorfer et al. (43) Pub. Date: Oct. 18, 2012 (54) MARKER SEQUENCES FOR PANCREATIC Publication Classification CANCER DISEASES, PANCREATIC (51) Int. Cl. CARCINOMIA AND USE THEREOF C40B 30/04 (2006.01) GOIN 2L/64 (2006.01) (75) Inventors: Peter Amersdorfer, Graz (AT); GOIN 27/72 (2006.01) Annabel Höpfner, Dortmund (DE); C07K I4/435 (2006.01) Angelika Lueking, Bochum (DE) C40B 40/06 (2006.01) C40B 40/10 (2006.01) CI2N 5/09 (2010.01) (73) Assignee: PROTAGEN Aktiengesellschaft, C7H 2L/04 (2006.01) Dortmund (DE) GOIN 33/574 (2006.01) GOIN 27/62 (2006.01) (21) Appl. No.: 13/498,964 (52) U.S. Cl. ........... 506/9:436/501; 435/6.14; 435/7.92; 506/16:506/18: 435/2:536/23.1; 530/350 (22) PCT Filed: Sep. 29, 2010 (57) ABSTRACT The present invention relates to novel marker sequences for (86). PCT No.: PCT/EP2010/064510 pancreatic cancer diseases, pancreatic carcinoma and the diagnostic use thereof together with a method for Screening of S371 (c)(1), potential active Substances for pancreatic cancer diseases, (2), (4) Date: Jun. 22, 2012 pancreatic carcinoma by means of these marker sequences. Furthermore, the invention relates to a diagnostic device con (30) Foreign Application Priority Data taining Such marker sequences for pancreatic cancer diseases, pancreatic carcinoma, in particular a protein biochip and the Sep. 29, 2009 (EP) .................................. O9171690.2 use thereof. Patent Application Publication Oct. 18, 2012 US 2012/0264.634 A1 US 2012/0264.634 A1 Oct. -
Ciliopathies Gene Panel
Ciliopathies Gene Panel Contact details Introduction Regional Genetics Service The ciliopathies are a heterogeneous group of conditions with considerable phenotypic overlap. Levels 4-6, Barclay House These inherited diseases are caused by defects in cilia; hair-like projections present on most 37 Queen Square cells, with roles in key human developmental processes via their motility and signalling functions. Ciliopathies are often lethal and multiple organ systems are affected. Ciliopathies are London, WC1N 3BH united in being genetically heterogeneous conditions and the different subtypes can share T +44 (0) 20 7762 6888 many clinical features, predominantly cystic kidney disease, but also retinal, respiratory, F +44 (0) 20 7813 8578 skeletal, hepatic and neurological defects in addition to metabolic defects, laterality defects and polydactyly. Their clinical variability can make ciliopathies hard to recognise, reflecting the ubiquity of cilia. Gene panels currently offer the best solution to tackling analysis of genetically Samples required heterogeneous conditions such as the ciliopathies. Ciliopathies affect approximately 1:2,000 5ml venous blood in plastic EDTA births. bottles (>1ml from neonates) Ciliopathies are generally inherited in an autosomal recessive manner, with some autosomal Prenatal testing must be arranged dominant and X-linked exceptions. in advance, through a Clinical Genetics department if possible. Referrals Amniotic fluid or CV samples Patients presenting with a ciliopathy; due to the phenotypic variability this could be a diverse set should be sent to Cytogenetics for of features. For guidance contact the laboratory or Dr Hannah Mitchison dissecting and culturing, with ([email protected]) / Prof Phil Beales ([email protected]) instructions to forward the sample to the Regional Molecular Genetics Referrals will be accepted from clinical geneticists and consultants in nephrology, metabolic, laboratory for analysis respiratory and retinal diseases. -
The Role of Primary Cilia in the Crosstalk Between the Ubiquitin–Proteasome System and Autophagy
cells Review The Role of Primary Cilia in the Crosstalk between the Ubiquitin–Proteasome System and Autophagy Antonia Wiegering, Ulrich Rüther and Christoph Gerhardt * Institute for Animal Developmental and Molecular Biology, Heinrich Heine University, 40225 Düsseldorf, Germany; [email protected] (A.W.); [email protected] (U.R.) * Correspondence: [email protected]; Tel.: +49-(0)211-81-12236 Received: 29 December 2018; Accepted: 11 March 2019; Published: 14 March 2019 Abstract: Protein degradation is a pivotal process for eukaryotic development and homeostasis. The majority of proteins are degraded by the ubiquitin–proteasome system and by autophagy. Recent studies describe a crosstalk between these two main eukaryotic degradation systems which allows for establishing a kind of safety mechanism. If one of these degradation systems is hampered, the other compensates for this defect. The mechanism behind this crosstalk is poorly understood. Novel studies suggest that primary cilia, little cellular protrusions, are involved in the regulation of the crosstalk between the two degradation systems. In this review article, we summarise the current knowledge about the association between cilia, the ubiquitin–proteasome system and autophagy. Keywords: protein aggregation; neurodegenerative diseases; OFD1; BBS4; RPGRIP1L; hedgehog; mTOR; IFT; GLI 1. Introduction Protein aggregates are huge protein accumulations that develop as a consequence of misfolded proteins. The occurrence of protein aggregates is associated with the development of neurodegenerative diseases, such as Huntington’s disease, prion disorders, Alzheimer’s disease and Parkinson’s disease [1–3], demonstrating that the degradation of incorrectly folded proteins is of eminent importance for human health. In addition to the destruction of useless and dangerous proteins (protein quality control), protein degradation is an important process to regulate the cell cycle, to govern transcription and also to control intra- and intercellular signal transduction [4–6]. -
Molecular Studies of Phenotype Variation in Canine RPGR-XLPRA1
University of Pennsylvania ScholarlyCommons Departmental Papers (Vet) School of Veterinary Medicine 2016 Molecular Studies of Phenotype Variation in Canine RPGR- XLPRA1 Tatyana Appelbaum University of Pennsylvania Doreen Becker University of Pennsylvania Evelyn Santana University of Pennsylvania Gustavo D. Aguirre University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/vet_papers Part of the Veterinary Medicine Commons Recommended Citation Appelbaum, T., Becker, D., Santana, E., & Aguirre, G. D. (2016). Molecular Studies of Phenotype Variation in Canine RPGR-XLPRA1. Molecular Vision, 22 319-331. Retrieved from https://repository.upenn.edu/ vet_papers/148 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/vet_papers/148 For more information, please contact [email protected]. Molecular Studies of Phenotype Variation in Canine RPGR-XLPRA1 Abstract Purpose: Canine X-linked progressive retinal atrophy 1 (XLPRA1) caused by a mutation in retinitis pigmentosa (RP) GTPase regulator (RPGR) exon ORF15 showed significant ariabilityv in disease onset in a colony of dogs that all inherited the same mutant X chromosome. Defective protein trafficking has been detected in XLPRA1 before any discernible degeneration of the photoreceptors. We hypothesized that the severity of the photoreceptor degeneration in affected dogs may be associated with defects in genes involved in ciliary trafficking.o T this end, we examined six genes as potential disease modifiers. eW also examined the expression levels of 24 genes involved in ciliary trafficking (seven), visual pathway (five), neuronal maintenance genes (six), and cellular stress response (six) to evaluate their possible involvement in early stages of the disease. Methods: Samples from a pedigree derived from a single XLPRA1-affected male dog outcrossed to unrelated healthy mix-bred or purebred females were used for immunohistochemistry (IHC), western blot, mutational and haplotype analysis, and gene expression (GE). -
Blueprint Genetics Nephronophthisis Panel
Nephronophthisis Panel Test code: KI1901 Is a 20 gene panel that includes assessment of non-coding variants. Is ideal for patients with a clinical suspicion of nephronopthisis. The genes on this panel are included in the comprehensive Ciliopathy Panel. About Nephronophthisis Nephronophthisis (NPHP) is a heterogenous group of autosomal recessive cystic kidney disorders that represents the most frequent genetic cause of chronic and end-stage renal disease (ESRD) in children and young adults. It is characterized by chronic tubulointerstitial nephritis that progress to ESRD during the second decade (juvenile form) or before the age of five years (infantile form). Late-onset form of nephronophthisis is rare. The estimated prevalence is 1:100,000 individuals. NPHP may be seen with other clinical manifestations, such as liver fibrosis, situs inversus, cardiac malformations, intellectual deficiency, cerebellar ataxia, or bone anomalies. When NPHP is associated with cerebellar vermis aplasia/hypoplasia, retinal degeneration and mental retardation it is known as Joubert syndrome. When nephronophthisis is combined with retinitis pigmentosa, the disorder is known as Senior-Loken syndrome. In combination with multiple developmental and neurologic abnormalities, the disorder is often known as Meckel syndrome. Because most NPHP gene products localize to the cilium or its associated structures, nephronophthisis and the related syndromes have been termed ciliopathies. Availability 4 weeks Gene Set Description Genes in the Nephronophthisis Panel and their -
Early Growth Response 1 Regulates Hematopoietic Support and Proliferation in Human Primary Bone Marrow Stromal Cells
Hematopoiesis SUPPLEMENTARY APPENDIX Early growth response 1 regulates hematopoietic support and proliferation in human primary bone marrow stromal cells Hongzhe Li, 1,2 Hooi-Ching Lim, 1,2 Dimitra Zacharaki, 1,2 Xiaojie Xian, 2,3 Keane J.G. Kenswil, 4 Sandro Bräunig, 1,2 Marc H.G.P. Raaijmakers, 4 Niels-Bjarne Woods, 2,3 Jenny Hansson, 1,2 and Stefan Scheding 1,2,5 1Division of Molecular Hematology, Department of Laboratory Medicine, Lund University, Lund, Sweden; 2Lund Stem Cell Center, Depart - ment of Laboratory Medicine, Lund University, Lund, Sweden; 3Division of Molecular Medicine and Gene Therapy, Department of Labora - tory Medicine, Lund University, Lund, Sweden; 4Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands and 5Department of Hematology, Skåne University Hospital Lund, Skåne, Sweden ©2020 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2019.216648 Received: January 14, 2019. Accepted: July 19, 2019. Pre-published: August 1, 2019. Correspondence: STEFAN SCHEDING - [email protected] Li et al.: Supplemental data 1. Supplemental Materials and Methods BM-MNC isolation Bone marrow mononuclear cells (BM-MNC) from BM aspiration samples were isolated by density gradient centrifugation (LSM 1077 Lymphocyte, PAA, Pasching, Austria) either with or without prior incubation with RosetteSep Human Mesenchymal Stem Cell Enrichment Cocktail (STEMCELL Technologies, Vancouver, Canada) for lineage depletion (CD3, CD14, CD19, CD38, CD66b, glycophorin A). BM-MNCs from fetal long bones and adult hip bones were isolated as reported previously 1 by gently crushing bones (femora, tibiae, fibulae, humeri, radii and ulna) in PBS+0.5% FCS subsequent passing of the cell suspension through a 40-µm filter. -
Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways
biomolecules Article Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways Aayushi Srivastava 1,2,3,4 , Abhishek Kumar 1,5,6 , Sara Giangiobbe 1, Elena Bonora 7, Kari Hemminki 1, Asta Försti 1,2,3 and Obul Reddy Bandapalli 1,2,3,* 1 Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany; [email protected] (A.S.); [email protected] (A.K.); [email protected] (S.G.); [email protected] (K.H.); [email protected] (A.F.) 2 Hopp Children’s Cancer Center (KiTZ), D-69120 Heidelberg, Germany 3 Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), D-69120 Heidelberg, Germany 4 Medical Faculty, Heidelberg University, D-69120 Heidelberg, Germany 5 Institute of Bioinformatics, International Technology Park, Bangalore 560066, India 6 Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India 7 S.Orsola-Malphigi Hospital, Unit of Medical Genetics, 40138 Bologna, Italy; [email protected] * Correspondence: [email protected]; Tel.: +49-6221-42-1709 Received: 29 August 2019; Accepted: 10 October 2019; Published: 13 October 2019 Abstract: Evidence of familial inheritance in non-medullary thyroid cancer (NMTC) has accumulated over the last few decades. However, known variants account for a very small percentage of the genetic burden. Here, we focused on the identification of common pathways and networks enriched in NMTC families to better understand its pathogenesis with the final aim of identifying one novel high/moderate-penetrance germline predisposition variant segregating with the disease in each studied family. -
Clinical Utility Gene Card For: Joubert Syndrome - Update 2013
European Journal of Human Genetics (2013) 21, doi:10.1038/ejhg.2013.10 & 2013 Macmillan Publishers Limited All rights reserved 1018-4813/13 www.nature.com/ejhg CLINICAL UTILITY GENE CARD UPDATE Clinical utility gene card for: Joubert syndrome - update 2013 Enza Maria Valente*,1,2, Francesco Brancati1, Eugen Boltshauser3 and Bruno Dallapiccola4 European Journal of Human Genetics (2013) 21, doi:10.1038/ejhg.2013.10; published online 13 February 2013 Update to: European Journal of Human Genetics (2011) 19, doi:10.1038/ejhg.2011.49; published online 30 March 2011 1. DISEASE CHARACTERISTICS 1.6 Analytical methods 1.1 Name of the disease (synonyms) Direct sequencing of coding genomic regions and splice site junctions; Joubert syndrome (JS); Joubert-Boltshauser syndrome; Joubert syn- multiplex microsatellite analysis for detection of NPHP1 homozygous drome-related disorders (JSRD), including cerebellar vermis hypo/ deletion. Possibly, qPCR or targeted array-CGH for detection of aplasia, oligophrenia, congenital ataxia, ocular coloboma, and hepatic genomic rearrangements in other genes. fibrosis (COACH) syndrome; cerebellooculorenal, or cerebello-oculo- renal (COR) syndrome; Dekaban-Arima syndrome; Va´radi-Papp 1.7 Analytical validation syndrome or Orofaciodigital type VI (OFDVI) syndrome; Malta Direct sequencing of both DNA strands; verification of sequence and syndrome. qPCR results in an independent experiment. 1.2 OMIM# of the disease 1.8 Estimated frequency of the disease 213300, 243910, 216360, 277170. (incidence at birth-‘birth prevalence’-or population prevalence) No good population-based data on JSRD prevalence have been published. A likely underestimated frequency between 1/80 000 and 1.3 Name of the analysed genes or DNA/chromosome segments 1/100 000 live births is based on unpublished data.