Anxiety and Comorbid Measures Associated with PLXNA2
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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 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 -
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. -
Case–Control Association Study of 59 Candidate Genes Reveals the DRD2
Journal of Human Genetics (2009) 54, 98–107 & 2009 The Japan Society of Human Genetics All rights reserved 1434-5161/09 $32.00 www.nature.com/jhg ORIGINAL ARTICLE Case–control association study of 59 candidate genes reveals the DRD2 SNP rs6277 (C957T) as the only susceptibility factor for schizophrenia in the Bulgarian population Elitza T Betcheva1, Taisei Mushiroda2, Atsushi Takahashi3, Michiaki Kubo4, Sena K Karachanak5, Irina T Zaharieva5, Radoslava V Vazharova5, Ivanka I Dimova5, Vihra K Milanova6, Todor Tolev7, George Kirov8, Michael J Owen8, Michael C O’Donovan8, Naoyuki Kamatani3, Yusuke Nakamura1,9 and Draga I Toncheva5 The development of molecular psychiatry in the last few decades identified a number of candidate genes that could be associated with schizophrenia. A great number of studies often result with controversial and non-conclusive outputs. However, it was determined that each of the implicated candidates would independently have a minor effect on the susceptibility to that disease. Herein we report results from our replication study for association using 255 Bulgarian patients with schizophrenia and schizoaffective disorder and 556 Bulgarian healthy controls. We have selected from the literatures 202 single nucleotide polymorphisms (SNPs) in 59 candidate genes, which previously were implicated in disease susceptibility, and we have genotyped them. Of the 183 SNPs successfully genotyped, only 1 SNP, rs6277 (C957T) in the DRD2 gene (P¼0.0010, odds ratio¼1.76), was considered to be significantly associated with schizophrenia after the replication study using independent sample sets. Our findings support one of the most widely considered hypotheses for schizophrenia etiology, the dopaminergic hypothesis. -
Whole Exome Sequencing Reveals NOTCH1 Mutations in Anaplastic Large Cell Lymphoma and Points to Notch Both As a Key Pathway and a Potential Therapeutic Target
Non-Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing reveals NOTCH1 mutations in anaplastic large cell lymphoma and points to Notch both as a key pathway and a potential therapeutic target Hugo Larose, 1,2 Nina Prokoph, 1,2 Jamie D. Matthews, 1 Michaela Schlederer, 3 Sandra Högler, 4 Ali F. Alsulami, 5 Stephen P. Ducray, 1,2 Edem Nuglozeh, 6 Mohammad Feroze Fazaludeen, 7 Ahmed Elmouna, 6 Monica Ceccon, 2,8 Luca Mologni, 2,8 Carlo Gambacorti-Passerini, 2,8 Gerald Hoefler, 9 Cosimo Lobello, 2,10 Sarka Pospisilova, 2,10,11 Andrea Janikova, 2,11 Wilhelm Woessmann, 2,12 Christine Damm-Welk, 2,12 Martin Zimmermann, 13 Alina Fedorova, 14 Andrea Malone, 15 Owen Smith, 15 Mariusz Wasik, 2,16 Giorgio Inghirami, 17 Laurence Lamant, 18 Tom L. Blundell, 5 Wolfram Klapper, 19 Olaf Merkel, 2,3 G. A. Amos Burke, 20 Shahid Mian, 6 Ibraheem Ashankyty, 21 Lukas Kenner 2,3,22 and Suzanne D. Turner 1,2,10 1Department of Pathology, University of Cambridge, Cambridge, UK; 2European Research Initiative for ALK Related Malignancies (ERIA; www.ERIALCL.net ); 3Department of Pathology, Medical University of Vienna, Vienna, Austria; 4Unit of Laboratory Animal Pathology, Uni - versity of Veterinary Medicine Vienna, Vienna, Austria; 5Department of Biochemistry, University of Cambridge, Tennis Court Road, Cam - bridge, UK; 6Molecular Diagnostics and Personalised Therapeutics Unit, Colleges of Medicine and Applied Medical Sciences, University of Ha’il, Ha’il, Saudi Arabia; 7Neuroinflammation Research Group, Department of Neurobiology, A.I Virtanen Institute -
Molecular Genetics of Schizophrenia and Related Intermediate
Juho Wedenoja c R Molecular Genetics of e S Schizophrenia and Related Rea h Intermediate Phenotypes in a Founder Population Phenotypes in a Founder Population Founder a in Phenotypes Intermediate Related and Schizophrenia of Genetics Molecular 28 2010 28 Juho Wedenoja Molecular Genetics of Schizophrenia and Related Intermediate Phenotypes in a Founder Population ACADEMIC DISSERTATION To be presented, with the permission of the Faculty of Medicine, University of Helsinki, for public examination in the Small Hall, University of Helsinki Main Building, on 5 February 2010, at 12 noon. National Institute for Health and Welfare, Helsinki, Finland and Institute for Molecular Medicine Finland FIMM, Helsinki, Finland and Department of Medical Genetics, University of Helsinki, Helsinki, Finland RESEARCH 28 Helsinki 2010 Helsinki University Biomedical Dissertations No 131 ISSN 1457-8433 Publications of the National Institute for Health and Welfare Research 28 © Juho Wedenoja & National Institute for Health and Welfare 2010 ISBN 978-952-245-219-1 (print) ISSN 1798-0054 (print) ISBN 978-952-245-220-7 (pdf) ISSN 1798-0062 (pdf) Cover picture: Satu Wedenoja (Monterey, CA, USA on 7 November 2007) http://www.thl.fi/julkaisut http://ethesis.helsinki.fi/ Helsinki University Print Helsinki, Finland 2010 Supervisors Academician Leena Peltonen-Palotie, MD, PhD Professor, Research Director Institute for Molecular Medicine Finland FIMM Nordic EMBL Partnership for Molecular Medicine National Institute for Health and Welfare and University of Helsinki and Department -
Genome-Wide Association Meta-Analysis for Early Age-Related Macular Degeneration Highlights Novel Loci and Insights for Advanced Disease Thomas W
Winkler et al. BMC Medical Genomics (2020) 13:120 https://doi.org/10.1186/s12920-020-00760-7 RESEARCH ARTICLE Open Access Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease Thomas W. Winkler1*† , Felix Grassmann2,3,4†, Caroline Brandl1,2,5, Christina Kiel2, Felix Günther1,6, Tobias Strunz2, Lorraine Weidner1, Martina E. Zimmermann1, Christina A. Korb7, Alicia Poplawski8, Alexander K. Schuster7, Martina Müller-Nurasyid8,9,10,11, Annette Peters12,13, Franziska G. Rauscher14,15, Tobias Elze14,16, Katrin Horn14,15, Markus Scholz14,15, Marisa Cañadas-Garre17, Amy Jayne McKnight17, Nicola Quinn17, Ruth E. Hogg17, Helmut Küchenhoff6, Iris M. Heid1†, Klaus J. Stark1† and Bernhard H. F. Weber2,18† Abstract Background: Advanced age-related macular degeneration (AMD) is a leading cause of blindness. While around half of the genetic contribution to advanced AMD has been uncovered, little is known about the genetic architecture of early AMD. Methods: To identify genetic factors for early AMD, we conducted a genome-wide association study (GWAS) meta-analysis (14,034 cases, 91,214 controls, 11 sources of data including the International AMD Genomics Consortium, IAMDGC, and UK Biobank, UKBB). We ascertained early AMD via color fundus photographs by manual grading for 10 sources and via an automated machine learning approach for > 170,000 photographs from UKBB. We searched for early AMD loci via GWAS and via a candidate approach based on 14 previously suggested early AMD variants. (Continued on next page) * Correspondence: [email protected] †Thomas W Winkler and Felix Grassmann contributed equally †Iris M Heid, Klaus J Stark and Bernhard HF Weber jointly supervised this work 1Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany Full list of author information is available at the end of the article © The Author(s). -
Potential Impact of Mir-137 and Its Targets in Schizophrenia
Georgia State University ScholarWorks @ Georgia State University Psychology Faculty Publications Department of Psychology 4-2013 Potential Impact of miR-137 and Its Targets in Schizophrenia Carrie Wright University of New Mexico, [email protected] Jessica Turner Georgia State University, [email protected] Vince D. Calhoun University of New Mexico, [email protected] Nora I. Perrone-Bizzozero University of New Mexico, [email protected] Follow this and additional works at: https://scholarworks.gsu.edu/psych_facpub Part of the Psychology Commons Recommended Citation Wright C, Turner JA, Calhoun VD and Perrone-Bizzozero N (2013) Potential impact of miR-137 and its tar- gets in schizophrenia. Front. Genet. 4:58. doi: http://dx.doi.org/10.3389/fgene.2013.00058 This Article is brought to you for free and open access by the Department of Psychology at ScholarWorks @ Georgia State University. It has been accepted for inclusion in Psychology Faculty Publications by an authorized administrator of ScholarWorks @ Georgia State University. For more information, please contact [email protected]. HYPOTHESIS AND THEORY ARTICLE published: 26 April 2013 doi: 10.3389/fgene.2013.00058 Potential impact of miR-137 and its targets in schizophrenia Carrie Wright 1, Jessica A.Turner 2,3*,Vince D. Calhoun2,3 and Nora Perrone-Bizzozero1* 1 Department of Neurosciences, Health Sciences Center, University of New Mexico, Albuquerque, NM, USA 2 The Mind Research Network, Albuquerque, NM, USA 3 Psychology Department, University of New Mexico, Albuquerque, NM, USA Edited by: The significant impact of microRNAs (miRNAs) on disease pathology is becoming increas- Francis J. McMahon, National ingly evident.These small non-coding RNAs have the ability to post-transcriptionally silence Institute of Mental Health, USA the expression of thousands of genes. -
NIH Public Access Author Manuscript Schizophr Res
NIH Public Access Author Manuscript Schizophr Res. Author manuscript; available in PMC 2009 April 1. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Schizophr Res. 2008 April ; 101(1-3): 67±75. ASSOCIATION OF RGS2 AND RGS5 VARIANTS WITH SCHIZOPHRENIA SYMPTOM SEVERITY Daniel B. Campbell1, Leslie A. Lange2, Tara Skelly2, Jeffrey Lieberman3, Pat Levitt1,4, and Patrick F. Sullivan2,5 1Department of Pharmacology, Vanderbilt University, Nashville, TN 37232 USA 2Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 USA 3Department of Psychiatry, Columbia University, New York, NY 10032 USA 4Vanderbilt Kennedy Center for Research on Human Development, Vanderbilt University, Nashville, TN 37203 USA 5Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, SE-171 77 Stockholm, Sweden Abstract Background—Several lines of evidence indicate that Regulator of G Protein Signaling 4 (RGS4) contributes to schizophrenia vulnerability. RGS4 is one of a family of molecules that modulate signaling via G-protein coupled receptors. Five genes encoding members of this family (RGS2, RGS4, RGS5, RGS8 and RGS16) map to chromosome 1q23.3-1q31. Due to overlapping cellular functions and chromosomal proximity, we hypothesized that multiple RGS genes may contribute to schizophrenia severity and treatment responsiveness. Methods—Subjects were 750 individuals with schizophrenia who participated in the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE). Inferred ancestries were: 221 (30%) ‘Africa only’, 422 (56%) ‘Europe only’ and 107 (14%) ‘Other’. Fifty-nine single nucleotide polymorphisms (SNPs) in or near the RGS5, RGS16, RGS8 and RGS2 genes were genotyped. Multiple linear regression was used to analyze association of markers with Positive and Negative Symptoms Scale (PANSS) total scores at baseline and throughout antipsychotic treatment. -
The Tumor Suppressor CIC Directly Regulates MAPK Pathway Genes Via Histone Deacetylation Simon Weissmann1,2, Paul A
Published OnlineFirst May 29, 2018; DOI: 10.1158/0008-5472.CAN-18-0342 Cancer Genome and Epigenome Research The Tumor Suppressor CIC Directly Regulates MAPK Pathway Genes via Histone Deacetylation Simon Weissmann1,2, Paul A. Cloos1,2, Simone Sidoli2,3, Ole N. Jensen2,3, Steven Pollard4, and Kristian Helin1,2,5 Abstract Oligodendrogliomas are brain tumors accounting for approximately 10% of all central nervous system can- Low MAPK signaling High MAPK signaling cers. CIC is a transcription factor that is mutated in most RTKs patients with oligodendrogliomas; these mutations are believed to be a key oncogenic event in such cancers. MEK Analysis of the Drosophila melanogaster ortholog of ERK SIN3 CIC, Capicua, indicates that CIC loss phenocopies CIC HDAC activation of the EGFR/RAS/MAPK pathway, and HMG C-term studies in mammalian cells have demonstrated a role SIN3 CIC HDAC for CIC in repressing the transcription of the PEA3 HMG C-term Ac Ac subfamily of ETS transcription factors. Here, we address Ac Ac the mechanism by which CIC represses transcription and assess the functional consequences of CIC inacti- vation. Genome-wide binding patterns of CIC in several cell types revealed that CIC target genes were enriched ETV, DUSP, CCND1/2, SHC3,... for MAPK effector genes involved in cell-cycle regulation Normal Astrocytoma and proliferation. CIC binding to target genes was Glioblastoma multiforme abolished by high MAPK activity, which led to their 1p/19q deletion CIC-Mutants transcriptional activation. CIC interacted with the SIN3 SIN3 deacetylation complex and, based on our results, we SIN3 CIC suggest that CIC functions as a transcriptional repressor HDAC HDAC HMG C-term through the recruitment of histone deacetylases. -
Dysregulation of Post-Transcriptional Modification by Copy Number
Yoshikawa et al. Translational Psychiatry (2021) 11:331 https://doi.org/10.1038/s41398-021-01460-1 Translational Psychiatry ARTICLE Open Access Dysregulation of post-transcriptional modification by copy number variable microRNAs in schizophrenia with enhanced glycation stress Akane Yoshikawa1,2,ItaruKushima 3,4, Mitsuhiro Miyashita 1,5,6,KazuyaToriumi 1, Kazuhiro Suzuki 1,5, Yasue Horiuchi 1, Hideya Kawaji 7, Shunya Takizawa8,NorioOzaki 3, Masanari Itokawa1 and Makoto Arai 1 Abstract Previously, we identified a subpopulation of schizophrenia (SCZ) showing increased levels of plasma pentosidine, a marker of glycation and oxidative stress. However, its causative genetic factors remain largely unknown. Recently, it has been suggested that dysregulated posttranslational modification by copy number variable microRNAs (CNV-miRNAs) may contribute to the etiology of SCZ. Here, an integrative genome-wide CNV-miRNA analysis was performed to investigate the etiology of SCZ with accumulated plasma pentosidine (PEN-SCZ). The number of CNV-miRNAs and the gene ontology (GO) in the context of miRNAs within CNVs were compared between PEN-SCZ and non-PEN-SCZ groups. Gene set enrichment analysis of miRNA target genes was further performed to evaluate the pathways affected in PEN-SCZ. We show that miRNAs were significantly enriched within CNVs in the PEN-SCZ versus non-PEN-SCZ groups (p = 0.032). Of note, as per GO analysis, the dysregulated neurodevelopmental events in the two groups may have different origins. Additionally, gene set enrichment analysis of miRNA target genes revealed that miRNAs involved in glycation/oxidative stress and synaptic neurotransmission, especially glutamate/GABA receptor signaling, fi 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; were possibly affected in PEN-SCZ. -
Genome-Wide Association Meta-Analysis for Early Age-Related
bioRxiv preprint doi: https://doi.org/10.1101/2019.12.20.883801; this version posted December 20, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Genome-wide association meta-analysis for early age-related 2 macular degeneration highlights novel loci and insights for 3 advanced disease 4 5 Authors 6 Thomas W Winkler1*, Felix Grassmann2,3*, Caroline Brandl1,2,4, Christina Kiel2, Felix Günther1,5, 7 Tobias Strunz2, Lorraine Weidner1, Martina E Zimmermann1, Christina A. Korb6, Alicia 8 Poplawski7, Alexander K Schuster6, Martina Müller-Nurasyid8,9,10, Annette Peters11,12, 9 Franziska G Rauscher13,14, Tobias Elze13,15, Katrin Horn13,14, Markus Scholz13,14, Marisa 10 Cañadas-Garre16, Amy Jayne McKnight16, Nicola Quinn16, Ruth E Hogg16, Helmut Küchenhoff5, 11 Iris M Heid1§, Klaus J Stark1§ and Bernhard HF Weber2§ 12 Affiliations 13 1: Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany; 2: Institute of Human Genetics, 14 University of Regensburg, Regensburg, Germany; 3: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 15 Stockholm, Sweden; 4: Department of Ophthalmology, University Hospital Regensburg, Regensburg, Germany; 5: Statistical 16 Consulting Unit StaBLab, Department of Statistics, Ludwig-Maximilians-Universität Munich, Munich, Germany; 6: Department of 17 Ophthalmology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany; 7: