Analysis of Genetically Driven Alternative Splicing Identifies FBXO38 As a Novel COPD
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Inherited Neuropathies
407 Inherited Neuropathies Vera Fridman, MD1 M. M. Reilly, MD, FRCP, FRCPI2 1 Department of Neurology, Neuromuscular Diagnostic Center, Address for correspondence Vera Fridman, MD, Neuromuscular Massachusetts General Hospital, Boston, Massachusetts Diagnostic Center, Massachusetts General Hospital, Boston, 2 MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology Massachusetts, 165 Cambridge St. Boston, MA 02114 and The National Hospital for Neurology and Neurosurgery, Queen (e-mail: [email protected]). Square, London, United Kingdom Semin Neurol 2015;35:407–423. Abstract Hereditary neuropathies (HNs) are among the most common inherited neurologic Keywords disorders and are diverse both clinically and genetically. Recent genetic advances have ► hereditary contributed to a rapid expansion of identifiable causes of HN and have broadened the neuropathy phenotypic spectrum associated with many of the causative mutations. The underlying ► Charcot-Marie-Tooth molecular pathways of disease have also been better delineated, leading to the promise disease for potential treatments. This chapter reviews the clinical and biological aspects of the ► hereditary sensory common causes of HN and addresses the challenges of approaching the diagnostic and motor workup of these conditions in a rapidly evolving genetic landscape. neuropathy ► hereditary sensory and autonomic neuropathy Hereditary neuropathies (HN) are among the most common Select forms of HN also involve cranial nerves and respiratory inherited neurologic diseases, with a prevalence of 1 in 2,500 function. Nevertheless, in the majority of patients with HN individuals.1,2 They encompass a clinically heterogeneous set there is no shortening of life expectancy. of disorders and vary greatly in severity, spanning a spectrum Historically, hereditary neuropathies have been classified from mildly symptomatic forms to those resulting in severe based on the primary site of nerve pathology (myelin vs. -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7, -
Genomic Diagnostics Within a Medically Underserved Population: Efficacy and Implications
© American College of Medical Genetics and Genomics ORIGINAL RESEARCH ARTICLE Genomic diagnostics within a medically underserved population: efficacy and implications Kevin A. Strauss, MD1, Claudia Gonzaga-Jauregui, PhD2, Karlla W. Brigatti, MS1, Katie B. Williams, MD, PhD1, Alejandra K. King, PhD2, Cristopher Van Hout, PhD2, Donna L. Robinson, CRNP1, Millie Young, RNC1, Kavita Praveen, PhD2, Adam D. Heaps, MS1, Mindy Kuebler, MS1, Aris Baras, MD2, Jeffrey G. Reid, PhD2, John D. Overton, PhD2, Frederick E. Dewey, MD2, Robert N. Jinks, PhD3, Ian Finnegan, BA3, Scott J. Mellis, MD, PhD2, Alan R. Shuldiner, MD2 and Erik G. Puffenberger, PhD1 Purpose: We integrated whole-exome sequencing (WES) and Compared to trio analysis, “family” WES (average seven exomes chromosomal microarray analysis (CMA) into a clinical workflow per proband) reduced filtered candidate variants from 22 ± 6to to serve an endogamous, uninsured, agrarian community. 5 ± 3 per proband. Nineteen (51%) alleles were de novo and 17 Methods: Seventy-nine probands (newborn to 49.8 years) who (46%) inherited; the latter added to a population-based diagnostic presented between 1998 and 2015 remained undiagnosed after panel. We found actionable secondary variants in 21 (4.2%) of 502 biochemical and molecular investigations. We generated WES data subjects, all of whom opted to be informed. for probands and family members and vetted variants through Conclusion: CMA and family-based WES streamline and rephenotyping, segregation analyses, and population studies. economize diagnosis of rare genetic disorders, accelerate novel Results: The most common presentation was neurological disease gene discovery, and create new opportunities for community-based (64%). Seven (9%) probands were diagnosed by CMA. -
A Yeast-Based Model for Hereditary Motor and Sensory Neuropathies: a Simple System for Complex, Heterogeneous Diseases
International Journal of Molecular Sciences Review A Yeast-Based Model for Hereditary Motor and Sensory Neuropathies: A Simple System for Complex, Heterogeneous Diseases Weronika Rzepnikowska 1, Joanna Kaminska 2 , Dagmara Kabzi ´nska 1 , Katarzyna Bini˛eda 1 and Andrzej Kocha ´nski 1,* 1 Neuromuscular Unit, Mossakowski Medical Research Centre Polish Academy of Sciences, 02-106 Warsaw, Poland; [email protected] (W.R.); [email protected] (D.K.); [email protected] (K.B.) 2 Institute of Biochemistry and Biophysics Polish Academy of Sciences, 02-106 Warsaw, Poland; [email protected] * Correspondence: [email protected] Received: 19 May 2020; Accepted: 15 June 2020; Published: 16 June 2020 Abstract: Charcot–Marie–Tooth (CMT) disease encompasses a group of rare disorders that are characterized by similar clinical manifestations and a high genetic heterogeneity. Such excessive diversity presents many problems. Firstly, it makes a proper genetic diagnosis much more difficult and, even when using the most advanced tools, does not guarantee that the cause of the disease will be revealed. Secondly, the molecular mechanisms underlying the observed symptoms are extremely diverse and are probably different for most of the disease subtypes. Finally, there is no possibility of finding one efficient cure for all, or even the majority of CMT diseases. Every subtype of CMT needs an individual approach backed up by its own research field. Thus, it is little surprise that our knowledge of CMT disease as a whole is selective and therapeutic approaches are limited. There is an urgent need to develop new CMT models to fill the gaps. -
An Integrative Genomic Analysis of the Longshanks Selection Experiment for Longer Limbs in Mice
bioRxiv preprint doi: https://doi.org/10.1101/378711; this version posted August 19, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Title: 2 An integrative genomic analysis of the Longshanks selection experiment for longer limbs in mice 3 Short Title: 4 Genomic response to selection for longer limbs 5 One-sentence summary: 6 Genome sequencing of mice selected for longer limbs reveals that rapid selection response is 7 due to both discrete loci and polygenic adaptation 8 Authors: 9 João P. L. Castro 1,*, Michelle N. Yancoskie 1,*, Marta Marchini 2, Stefanie Belohlavy 3, Marek 10 Kučka 1, William H. Beluch 1, Ronald Naumann 4, Isabella Skuplik 2, John Cobb 2, Nick H. 11 Barton 3, Campbell Rolian2,†, Yingguang Frank Chan 1,† 12 Affiliations: 13 1. Friedrich Miescher Laboratory of the Max Planck Society, Tübingen, Germany 14 2. University of Calgary, Calgary AB, Canada 15 3. IST Austria, Klosterneuburg, Austria 16 4. Max Planck Institute for Cell Biology and Genetics, Dresden, Germany 17 Corresponding author: 18 Campbell Rolian 19 Yingguang Frank Chan 20 * indicates equal contribution 21 † indicates equal contribution 22 Abstract: 23 Evolutionary studies are often limited by missing data that are critical to understanding the 24 history of selection. Selection experiments, which reproduce rapid evolution under controlled 25 conditions, are excellent tools to study how genomes evolve under strong selection. Here we 1 bioRxiv preprint doi: https://doi.org/10.1101/378711; this version posted August 19, 2018. -
A Genetic Investigation of the Muscle and Neuronal Channelopathies: from Sanger to Next – Generation Sequencing
A Genetic Investigation of the Muscle and Neuronal Channelopathies: From Sanger to Next – Generation Sequencing Alice Gardiner MRC Centre for Neuromuscular Diseases and UCL Institute of Neurology Supervised by Professor Henry Houlden and Professor Mike Hanna 1 Declaration I, Alice Gardiner, confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. Signature A~~~ . Date ~.'t..J.q~ l.?,.q.l.~ . 2 Abstract The neurological channelopathies are a group of hereditary, episodic and frequently debilitating diseases often caused by dysfunction of voltage-gated ion channels. This thesis reports genetic studies of carefully clinically characterised patient cohorts with different episodic neurological and neuromuscular disorders including paroxysmal dyskinesias, episodic ataxia, periodic paralysis and episodic rhabdomyolysis. Genetic and clinical heterogeneity has in the past, using traditional Sanger sequencing methods, made genetic diagnosis difficult and time consuming. This has led to many patients and families being undiagnosed. Here, different sequencing technologies were employed to define the genetic architecture in the paroxysmal disorders. Initially, Sanger sequencing was employed to screen the three known paroxysmal dyskinesia genes in a large cohort of paroxysmal movement disorder patients and smaller mixed episodic phenotype cohort. A genetic diagnosis was achieved in 39% and 13% of the cohorts respectively, and the genetic and phenotypic overlap was highlighted. Subsequently, next-generation sequencing panels were developed, for the first time in our laboratory. Small custom-designed amplicon-based panels were used for the skeletal muscle and neuronal channelopathies. They offered considerable clinical and practical benefit over traditional Sanger sequencing and revealed further phenotypic overlap, however there were still problems to overcome with incomplete coverage. -
Somatic Mutations in the Human Brain: Implications for Psychiatric Research
Molecular Psychiatry (2019) 24:839–856 https://doi.org/10.1038/s41380-018-0129-y REVIEW ARTICLE Somatic mutations in the human brain: implications for psychiatric research 1 2,3 2 4 Masaki Nishioka ● Miki Bundo ● Kazuya Iwamoto ● Tadafumi Kato Received: 21 November 2017 / Revised: 27 March 2018 / Accepted: 25 May 2018 / Published online: 7 August 2018 © The Author(s) 2018. This article is published with open access Abstract Psychiatric disorders such as schizophrenia and bipolar disorder are caused by complex gene–environment interactions. While recent advances in genomic technologies have enabled the identification of several risk variants for psychiatric conditions, including single-nucleotide variants and copy-number variations, these factors can explain only a portion of the liability to these disorders. Although non-inherited factors had previously been attributed to environmental causes, recent genomic analyses have demonstrated that de novo mutations are among the main non-inherited risk factors for several psychiatric conditions. Somatic mutations in the brain may also explain how stochastic developmental events and environmental insults confer risk for a psychiatric disorder following fertilization. Here, we review evidence regarding 1234567890();,: 1234567890();,: somatic mutations in the brains of individuals with and without neuropsychiatric diseases. We further discuss the potential biological mechanisms underlying somatic mutations in the brain as well as the technical issues associated with the detection of somatic mutations in psychiatric research. Somatic mutation as a candidate mechanism (GWAS) identified 108 genomic loci associated with for psychiatric disorders schizophrenia using single-nucleotide polymorphism (SNP) microarray technology [1]. Additional studies have Advancements in genetic technologies such as microarray identified several copy-number variations (CNVs) asso- analysis and massively parallel sequencing have enabled ciated with either schizophrenia [2–4] or autism spectrum us to analyze genetic information at a genome-wide level. -
1 the Identification of Colorectal Cancer Susceptibility Genes Using
The Identification of Colorectal Cancer Susceptibility Genes Using a Cross-Species, Systems Genetics Approach DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Madelyn Margaret Gerber Graduate Program in Biomedical Sciences The Ohio State University 2015 Dissertation Committee: Amanda Ewart Toland, PhD, Advisor Joanna Groden, PhD Jeffrey Parvin, MD, PhD Wolfgang Sadee, Dr.rer.nat. 1 Copyright by Madelyn Margaret Gerber 2015 2 Abstract Colorectal cancer (CRC) is the third most commonly diagnosed and third leading cause of cancer-related death in the United States. As much as 35% of risk for developing this disease is due to genetic risk factors. Genome-wide association studies (GWAS) have identified ~40 independent common risk variants that contribute to genetic predisposition. However, these variants fail to explain the majority of the genetic component for risk. Identification of additional susceptibility alleles for CRC is critical for developing genetic screening tools capable of predicting individuals at heightened genetic risk. This dissertation describes three projects aimed at uncovering CRC susceptibility genes using a cross-species systems genetics approach. The first project (Chapter 2) involves assessing single nucleotide polymorphisms (SNPs) at loci that were linked to CRC risk by GWAS for allele-specific somatic copy number gains or losses in human colorectal tumor genomes. We hypothesized that GWAS-identified SNPs exhibit allele-specific copy number changes (termed ‗allele- specific imbalance,‘ or ASI) in the tumor genome of patient specimens in much the same fashion as oncogenes are amplified and tumor suppressors are lost. -
Supplemental Figures
Control #1 Control #2 Control #3 83972 #1 83972 #2 83972 #3 CFT073 #1 CFT073 #2 CFT073 #3 Log-intensity ratios (M-values) ratios Log-intensity Log-intensity averages (A-values) Supplemental Figure 1. MA-plots showing normalized raw data using cross- correlation. The data was found to be of high quality with high replicate correlation (correlation>0.98) and with no systematic bias. A 83972 B CFT073 Supplemental Figure 2. Inversely regulated gene networks generated by IPA. The five inversely regulated genes belonged to one functional network in which HSPA6, FOSB and RN7SK interact with TATA box binding protein (TBP), a general transcription factor required for RNA polymerase II activity. The ABU strain 83972 (A) suppressed FOSB and other genes in this network while the CFT073 strain (B) enhanced their expression. 83972 also suppressed RGS4, a negative regulator of G-protein-coupled receptor-induced signaling and IFIT1, a gene of the type I IFN signaling pathway essential for the antibacterial effector response. A No of affected Network genes Score Top functions genes BAIAP2, BANP, BRIX1, Caspase, CTNNB1, Cyclin A, DACH1, Infection Mechanisms, EMP1, EPHA4, FGFBP1, GADD45G, HES1, HIST2H2BE, IgG, Infectious Disease, IL12, Interferon α, Jnk, MAVS, MDM2, NFkB, NOD1, P38 MAPK, 51 24 Endocrine System PDCD4, PELI2, PEMT, Ras homolog, TFAP2A, TLR5, Development and TNFRSF10D, UBC, Ubiquitin, VANGL2, VARS, Vegf, ZC3HAV1 Function AHCTF1, AKR1C2, ALOX5AP, ARL4A, BAMBI, BAZ2B, Bcl9- Cbp/p300-Ctnnb1-Lef/Tcf, BRF2, CA9, Ca2+, CNN2, CRIP1, Small Molecule -
Blueprint Genetics Spinal Muscular Atrophy Panel
Spinal Muscular Atrophy Panel Test code: NE1801 Is a 30 gene panel that includes assessment of non-coding variants. Is ideal for patients with a clinical suspicion of distal hereditary motor neuropathy or spinal muscular atrophy. About Spinal Muscular Atrophy Spinal muscular atrophies (SMAs) are a genetically and clinically heterogeneous group of rare debilitating disorders characterized by the degeneration of lower motor neurons and subsequent atrophy of various muscle groups in the body. While some SMAs lead to death in infancy, other types can present with mild weakness in an otherwise healthy adult. Based on the type of muscles affected, spinal muscular atrophies can be divided into proximal and distal SMAs. The distal SMAs significantly overlap with distal hereditary motor neuropathies and this has been taken into account in the panel design. While the presence of several symptoms may point towards a particular genetic disorder, an accurate diagnosis can only be established with certainty by genetic testing. Availability 4 weeks Gene Set Description Genes in the Spinal Muscular Atrophy Panel and their clinical significance Gene Associated phenotypes Inheritance ClinVar HGMD AARS Epileptic encephalopathy, early infantile, Charcot-Marie-Tooth disease AD/AR 9 16 ASAH1 Spinal muscular atrophy with progressive myoclonic epilepsy, Farber AR 16 71 lipogranulomatosis ATP7A Menkes disease, Occipital horn syndrome, Spinal muscular atrophy, distal, XL 116 354 X-linked 3 BICD2 Childhood-onset proximal spinal muscular atrophy with contractures -
1 Supplementary Material Figure S1. Volcano Plot of Differentially
Supplementary material Figure S1. Volcano Plot of differentially expressed genes between preterm infants fed own mother’s milk (OMM) or pasteurized donated human milk (DHM). Table S1. The 10 most representative biological processes filtered for enrichment p- value in preterm infants. Biological Processes p-value Quantity of DEG* Transcription, DNA-templated 3.62x10-24 189 Regulation of transcription, DNA-templated 5.34x10-22 188 Transport 3.75x10-17 140 Cell cycle 1.03x10-13 65 Gene expression 3.38x10-10 60 Multicellular organismal development 6.97x10-10 86 1 Protein transport 1.73x10-09 56 Cell division 2.75x10-09 39 Blood coagulation 3.38x10-09 46 DNA repair 8.34x10-09 39 Table S2. Differential genes in transcriptomic analysis of exfoliated epithelial intestinal cells between preterm infants fed own mother’s milk (OMM) and pasteurized donated human milk (DHM). Gene name Gene Symbol p-value Fold-Change (OMM vs. DHM) (OMM vs. DHM) Lactalbumin, alpha LALBA 0.0024 2.92 Casein kappa CSN3 0.0024 2.59 Casein beta CSN2 0.0093 2.13 Cytochrome c oxidase subunit I COX1 0.0263 2.07 Casein alpha s1 CSN1S1 0.0084 1.71 Espin ESPN 0.0008 1.58 MTND2 ND2 0.0138 1.57 Small ubiquitin-like modifier 3 SUMO3 0.0037 1.54 Eukaryotic translation elongation EEF1A1 0.0365 1.53 factor 1 alpha 1 Ribosomal protein L10 RPL10 0.0195 1.52 Keratin associated protein 2-4 KRTAP2-4 0.0019 1.46 Serine peptidase inhibitor, Kunitz SPINT1 0.0007 1.44 type 1 Zinc finger family member 788 ZNF788 0.0000 1.43 Mitochondrial ribosomal protein MRPL38 0.0020 1.41 L38 Diacylglycerol -
Polarity Gene Alterations in Pure Invasive Micropapillary Carcinomas
Gruel et al. Breast Cancer Research 2014, 16:R46 http://breast-cancer-research.com/content/16/3/R46 RESEARCH ARTICLE Open Access Polarity gene alterations in pure invasive micropapillary carcinomas of the breast Nadège Gruel1,2, Vanessa Benhamo1,2, Jaydutt Bhalshankar1, Tatiana Popova1, Paul Fréneaux3, Laurent Arnould4, Odette Mariani3, Marc-Henri Stern1, Virginie Raynal1, Xavier Sastre-Garau3, Roman Rouzier5, Olivier Delattre1 and Anne Vincent-Salomon1,3* Abstract Introduction: Pure invasive micropapillary carcinoma (IMPC) is a special type of breast carcinoma characterised by clusters of cells presenting polarity abnormalities. The biological alterations underlying this pattern remain unknown. Methods: Pangenomic analysis (n =39),TP53 (n =43)andPIK3CA (n = 41) sequencing in a series of IMPCs were performed. A subset of cases was also analysed with whole-exome sequencing (n =4)andRNAsequencing(n =6). Copy number variation profiles were compared with those of oestrogen receptors and grade-matched invasive ductal carcinomas (IDCs) of no special type. Results: Unsupervised analysis of genomic data distinguished two IMPC subsets: one (Sawtooth/8/16) exhibited a significant increase in 16p gains (71%), and the other (Firestorm/Amplifier) was characterised by a high frequency of 8q (35%), 17q (20% to 46%) and 20q (23% to 30%) amplifications and 17p loss (74%). TP53 mutations (10%) were more frequently identified in the amplifier subset, and PIK3CA mutations (4%) were detected in both subsets. Compared to IDC, IMPC exhibited specific loss of