Neurodevelopment Next-Generation Sequencing Panels
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Blueprint Genetics Hereditary Leukemia Panel
Hereditary Leukemia Panel Test code: ON0101 Is a 41 gene panel that includes assessment of non-coding variants. Is ideal for patients with a personal history of a syndrome that confers an increased risk of leukemia or patients with a family history of a syndrome that confers an increased risk of leukemia. About Hereditary Leukemia An inherited predisposition to hematological malignancies, namely acute lymphoblastic leukemia (ALL), acute myeloid leukemia (AML), and bone marrow myelodysplastic syndrome (MDS) may be associated with syndromic features or occur as the principal clinical feature. MDSs and AMLs can occur in the context of syndromic bone marrow failure (eg. dyskeratosis congenita, Fanconi anemia). Other hereditary syndromes with an increased risk of leukemia include Li-Fraumeni syndrome (TP53), ataxia telangiectasia (ATM), Bloom syndrome (BLM), neurofibromatosis type 1 (NF1) and less frequently Noonan syndrome (PTPN11, CBL). Some reports have also shown an association of biallelic germline mutations in constitutional mismatch repair-deficiency syndrome genes, MLH1, MSH2, MSH6, and PMS2 with the development of ALL. Isolated hematological malignancies are associated with germline mutations in RUNX1 (familial platelet syndrome with predisposition to acute myelogenous leukemia), CEBPA (familial AML), GATA2 (GATA2-associated syndromes) and DDX41(DDX41 -related myeloid neoplasms). There is a rapidly expanding list of germline mutations associated with increased risks for myeloid malignancies and inherited predisposition to hematologic malignancies may be more common than has been thought. Many different genetic defects associated with the development of leukemia have been described but the common underlying mechanism is a dysfunctional DNA damage response. Recognition of an inherited cause provides a specific molecular diagnosis and helps to guide treatment, understand unique disease features, prognosis and other organ systems that may be involved, and identify others in the family who may be at risk. -
Multiple Interactions Between an Arf/GEF Complex and Charged Lipids Determine Activation Kinetics on the Membrane
Multiple interactions between an Arf/GEF complex and charged lipids determine activation kinetics on the membrane Deepti Karandura,b,1, Agata Nawrotekc,d,1, John Kuriyana,b,2, and Jacqueline Cherfilsc,d,2 aDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720; bHoward Hughes Medical Institute, University of California, Berkeley, CA 94720; cLaboratoire de Biologie et Pharmacologie Appliquée, CNRS, Cachan 94235, France; and dEcole Normale Supérieure Paris-Saclay, Cachan 94235, France Edited by Satyajit Mayor, National Centre for Biological Sciences, Bangalore, India, and approved August 28, 2017 (received for review May 15, 2017) Lipidated small GTPases and their regulators need to bind to which is surrounded by an assortment of regulatory domains (9). membranes to propagate actions in the cell, but an integrated Sec7-assisted nucleotide exchangeoccursinastep-by-step manner, understanding of how the lipid bilayer exerts its effect has whereby the Sec7 domain binds to the switch 1 and switch 2 regions remained elusive. Here we focused on ADP ribosylation factor of Arf to remodel the interswitch and inserts an invariant gluta- (Arf) GTPases, which orchestrate a variety of regulatory functions mate into the nucleotide-binding site to displace GDP (6, 7, 10). in lipid and membrane trafficking, and their activation by the In metazoans, Arf GTPases are activated at the plasma mem- guanine-nucleotide exchange factor (GEF) Brag2, which controls brane and on endosomes by members of three ArfGEF subfamilies: integrin endocytosis and cell adhesion and is impaired in cancer cytohesins, EFA6, and Brag/IQSEC. These ArfGEFs share a com- and developmental diseases. Biochemical and structural data are mon organization in which the Sec7 domain is immediately followed available that showed the exceptional efficiency of Arf activation by a pleckstrin homology (PH) domain that binds phosphoinositide by Brag2 on membranes. -
Bhagwan Moorjani, MD, FAAP, FAAN • Requires Knowledge of Normal CNS Developmental (I.E
1/16/2012 Neuroimaging in Childhood • Neuroimaging issues are distinct from Pediatric Neuroimaging in adults Neurometabolic-degenerative disorder • Sedation/anesthesia and Epilepsy • Motion artifacts Bhagwan Moorjani, MD, FAAP, FAAN • Requires knowledge of normal CNS developmental (i.e. myelin maturation) • Contrast media • Parental anxiety Diagnostic Approach Neuroimaging in Epilepsy • Age of onset • Peak incidence in childhood • Static vs Progressive • Occurs as a co-morbid condition in many – Look for treatable causes pediatric disorders (birth injury, – Do not overlook abuse, Manchausen if all is negative dysmorphism, chromosomal anomalies, • Phenotype presence (syndromic, HC, NCS, developmental delays/regression) systemic involvement) • Predominant symptom (epilepsy, DD, • Many neurologic disorders in children weakness/motor, psychomotor regression, have the same chief complaint cognitive/dementia) 1 1/16/2012 Congenital Malformation • Characterized by their anatomic features • Broad categories: based on embryogenesis – Stage 1: Dorsal Induction: Formation and closure of the neural tube. (Weeks 3-4) – Stage 2: Ventral Induction: Formation of the brain segments and face. (Weeks 5-10) – Stage 3: Migration and Histogenesis: (Months 2-5) – Stage 4: Myelination: (5-15 months; matures by 3 years) Dandy Walker Malformation Dandy walker • Criteria: – high position of tentorium – dysgenesis/agenesis of vermis – cystic dilatation of fourth ventricle • commonly associated features: – hypoplasia of cerebellum – scalloping of inner table of occipital bone • associated abnormalities: – hydrocephalus 75% – dysgenesis of corpus callosum 25% – heterotropia 10% 2 1/16/2012 Etiology of Epilepsy: Developmental and Genetic Classification of Gray Matter Heterotropia Cortical Dysplasia 1. Secondary to abnormal neuronal and • displaced masses of nerve cells • Subependymal glial proliferation/apoptosis (gray matter) heterotropia (most • most common: small nest common) 2. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Exostoses, Enchondromatosis and Metachondromatosis; Diagnosis and Management
Acta Orthop. Belg., 2016, 82, 102-105 ORIGINAL STUDY Exostoses, enchondromatosis and metachondromatosis; diagnosis and management John MCFARLANE, Tim KNIGHT, Anubha SINHA, Trevor COLE, Nigel KIELY, Rob FREEMAN From the Department of Orthopaedics, Robert Jones Agnes Hunt Hospital, Oswestry, UK We describe a 5 years old girl who presented to the region of long bones and are composed of a carti- multidisciplinary skeletal dysplasia clinic following lage lump outside the bone which may be peduncu- excision of two bony lumps from her fingers. Based on lated or sessile, the knee is the most common clinical examination, radiolographs and histological site (1,10). An isolated exostosis is a common inci- results an initial diagnosis of hereditary multiple dental finding rarely requiring treatment. Disorders exostosis (HME) was made. Four years later she developed further lumps which had the radiological associated with exostoses include HME, Langer- appearance of enchondromas. The appearance of Giedion syndrome, Gardner syndrome and meta- both exostoses and enchondromas suggested a possi- chondromatosis. ble diagnosis of metachondromatosis. Genetic testing Enchondroma are the second most common be- revealed a splice site mutation at the end of exon 11 on nign bone tumour characterised by the formation of the PTPN11 gene, confirming the diagnosis of meta- hyaline cartilage in the medulla of a bone. It occurs chondromatosis. While both single or multiple exosto- most frequently in the hand (60%) and then the feet. ses and enchondromas occur relatively commonly on The typical radiological features are of a well- their own, the appearance of multiple exostoses and defined lucent defect with endosteal scalloping and enchondromas together is rare and should raise the differential diagnosis of metachondromatosis. -
Restoration of Epithelial Sodium Channel Function by Synthetic Peptides in Pseudohypoaldosteronism Type 1B Mutants
ORIGINAL RESEARCH published: 24 February 2017 doi: 10.3389/fphar.2017.00085 Restoration of Epithelial Sodium Channel Function by Synthetic Peptides in Pseudohypoaldosteronism Type 1B Mutants Anita Willam 1*, Mohammed Aufy 1, Susan Tzotzos 2, Heinrich Evanzin 1, Sabine Chytracek 1, Sabrina Geppert 1, Bernhard Fischer 2, Hendrik Fischer 2, Helmut Pietschmann 2, Istvan Czikora 3, Rudolf Lucas 3, Rosa Lemmens-Gruber 1 and Waheed Shabbir 1, 2 1 Department of Pharmacology and Toxicology, University of Vienna, Vienna, Austria, 2 APEPTICO GmbH, Vienna, Austria, 3 Vascular Biology Center, Medical College of Georgia, Augusta University, Augusta, GA, USA Edited by: The synthetically produced cyclic peptides solnatide (a.k.a. TIP or AP301) and its Gildas Loussouarn, congener AP318, whose molecular structures mimic the lectin-like domain of human University of Nantes, France tumor necrosis factor (TNF), have been shown to activate the epithelial sodium Reviewed by: channel (ENaC) in various cell- and animal-based studies. Loss-of-ENaC-function Stephan Kellenberger, University of Lausanne, Switzerland leads to a rare, life-threatening, salt-wasting syndrome, pseudohypoaldosteronism type Yoshinori Marunaka, 1B (PHA1B), which presents with failure to thrive, dehydration, low blood pressure, Kyoto Prefectural University of Medicine, Japan anorexia and vomiting; hyperkalemia, hyponatremia and metabolic acidosis suggest *Correspondence: hypoaldosteronism, but plasma aldosterone and renin activity are high. The aim of Anita Willam the present study was to investigate whether the ENaC-activating effect of solnatide [email protected] and AP318 could rescue loss-of-function phenotype of ENaC carrying mutations at + Specialty section: conserved amino acid positions observed to cause PHA1B. -
A Common X-Linked Inborn Error of Carnitine Biosynthesis May Be a Risk Factor for Nondysmorphic Autism
A common X-linked inborn error of carnitine biosynthesis may be a risk factor for nondysmorphic autism Patrícia B. S. Celestino-Sopera,1, Sara Violanteb,c,1, Emily L. Crawfordd, Rui Luoe, Anath C. Lionelf, Elsa Delabyg, Guiqing Caih, Bekim Sadikovica, Kwanghyuk Leea, Charlene Loa, Kun Gaoe, Richard E. Persona, Timothy J. Mossa, Jennifer R. Germana, Ni Huangi, Marwan Shinawia,j,2, Diane Treadwell-Deeringj,k, Peter Szatmaril, Wendy Robertsm, Bridget Fernandezn, Richard J. Schroero, Roger E. Stevensono, Joseph D. Buxbaumh, Catalina Betancurg, Stephen W. Schererf,m, Stephan J. Sandersp, Daniel H. Geschwinde, James S. Sutcliffed, Matthew E. Hurlesi, Ronald J. A. Wandersb, Chad A. Shawa, Suzanne M. Leala, Edwin H. Cook, Jr.q, Robin P. Goin-Kochela,j,r, Frédéric M. Vazb,1, and Arthur L. Beaudeta,j,r,1,3 Departments of aMolecular and Human Genetics, kPsychiatry, and rPediatrics, Baylor College of Medicine, Houston, TX 77030; jTexas Children’s Hospital, Houston, TX 77030; bLaboratory Genetic Metabolic Disease, Departments of Clinical Chemistry and Pediatrics, Academic Medical Center, University of Amsterdam, 1105 AZ, Amsterdam, The Netherlands; cMetabolism and Genetics Group, Research Institute for Medicines and Pharmaceutical Sciences (iMed.UL), Faculdade de Farmácia, Universidade de Lisboa, 1649-003 Lisbon, Portugal; dDepartment of Molecular Physiology and Biophysics, Center for Molecular Neuroscience, Vanderbilt University, Nashville, TN 37232; eDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, -
Incorrect Dosage of IQSEC2, a Known Intellectual Disability and Epilepsy Gene, Disrupts Dendritic Spine Morphogenesis
OPEN Citation: Transl Psychiatry (2017) 7, e1110; doi:10.1038/tp.2017.81 www.nature.com/tp ORIGINAL ARTICLE Incorrect dosage of IQSEC2, a known intellectual disability and epilepsy gene, disrupts dendritic spine morphogenesis SJ Hinze1,2, MR Jackson1,2, S Lie1, L Jolly1,2, M Field3, SC Barry2, RJ Harvey4 and C Shoubridge1,2 There is considerable genetic and phenotypic heterogeneity associated with intellectual disability (ID), specific learning disabilities, attention-deficit hyperactivity disorder, autism and epilepsy. The intelligence quotient (IQ) motif and SEC7 domain containing protein 2 gene (IQSEC2) is located on the X-chromosome and harbors mutations that contribute to non-syndromic ID with and without early-onset seizure phenotypes in both sexes. Although IQ and Sec7 domain mutations lead to partial loss of IQSEC2 enzymatic activity, the in vivo pathogenesis resulting from these mutations is not known. Here we reveal that IQSEC2 has a key role in dendritic spine morphology. Partial loss-of-function mutations were modeled using a lentiviral short hairpin RNA (shRNA) approach, which achieved a 57% knockdown of Iqsec2 expression in primary hippocampal cell cultures from mice. Investigating gross morphological parameters after 8 days of in vitro culture (8DIV) identified a 32% reduction in primary axon length, in contrast to a 27% and 31% increase in the number and complexity of dendrites protruding from the cell body, respectively. This increase in dendritic complexity and spread was carried through dendritic spine development, with a 34% increase in the number of protrusions per dendritic segment compared with controls at 15DIV. Although the number of dendritic spines had normalized by 21DIV, a reduction was noted in the number of immature spines. -
The Capacity of Long-Term in Vitro Proliferation of Acute Myeloid
The Capacity of Long-Term in Vitro Proliferation of Acute Myeloid Leukemia Cells Supported Only by Exogenous Cytokines Is Associated with a Patient Subset with Adverse Outcome Annette K. Brenner, Elise Aasebø, Maria Hernandez-Valladares, Frode Selheim, Frode Berven, Ida-Sofie Grønningsæter, Sushma Bartaula-Brevik and Øystein Bruserud Supplementary Material S2 of S31 Table S1. Detailed information about the 68 AML patients included in the study. # of blasts Viability Proliferation Cytokine Viable cells Change in ID Gender Age Etiology FAB Cytogenetics Mutations CD34 Colonies (109/L) (%) 48 h (cpm) secretion (106) 5 weeks phenotype 1 M 42 de novo 241 M2 normal Flt3 pos 31.0 3848 low 0.24 7 yes 2 M 82 MF 12.4 M2 t(9;22) wt pos 81.6 74,686 low 1.43 969 yes 3 F 49 CML/relapse 149 M2 complex n.d. pos 26.2 3472 low 0.08 n.d. no 4 M 33 de novo 62.0 M2 normal wt pos 67.5 6206 low 0.08 6.5 no 5 M 71 relapse 91.0 M4 normal NPM1 pos 63.5 21,331 low 0.17 n.d. yes 6 M 83 de novo 109 M1 n.d. wt pos 19.1 8764 low 1.65 693 no 7 F 77 MDS 26.4 M1 normal wt pos 89.4 53,799 high 3.43 2746 no 8 M 46 de novo 26.9 M1 normal NPM1 n.d. n.d. 3472 low 1.56 n.d. no 9 M 68 MF 50.8 M4 normal D835 pos 69.4 1640 low 0.08 n.d. -
Inherited Renal Tubulopathies—Challenges and Controversies
G C A T T A C G G C A T genes Review Inherited Renal Tubulopathies—Challenges and Controversies Daniela Iancu 1,* and Emma Ashton 2 1 UCL-Centre for Nephrology, Royal Free Campus, University College London, Rowland Hill Street, London NW3 2PF, UK 2 Rare & Inherited Disease Laboratory, London North Genomic Laboratory Hub, Great Ormond Street Hospital for Children National Health Service Foundation Trust, Levels 4-6 Barclay House 37, Queen Square, London WC1N 3BH, UK; [email protected] * Correspondence: [email protected]; Tel.: +44-2381204172; Fax: +44-020-74726476 Received: 11 February 2020; Accepted: 29 February 2020; Published: 5 March 2020 Abstract: Electrolyte homeostasis is maintained by the kidney through a complex transport function mostly performed by specialized proteins distributed along the renal tubules. Pathogenic variants in the genes encoding these proteins impair this function and have consequences on the whole organism. Establishing a genetic diagnosis in patients with renal tubular dysfunction is a challenging task given the genetic and phenotypic heterogeneity, functional characteristics of the genes involved and the number of yet unknown causes. Part of these difficulties can be overcome by gathering large patient cohorts and applying high-throughput sequencing techniques combined with experimental work to prove functional impact. This approach has led to the identification of a number of genes but also generated controversies about proper interpretation of variants. In this article, we will highlight these challenges and controversies. Keywords: inherited tubulopathies; next generation sequencing; genetic heterogeneity; variant classification. 1. Introduction Mutations in genes that encode transporter proteins in the renal tubule alter kidney capacity to maintain homeostasis and cause diseases recognized under the generic name of inherited tubulopathies. -
Serum Albumin OS=Homo Sapiens
Protein Name Cluster of Glial fibrillary acidic protein OS=Homo sapiens GN=GFAP PE=1 SV=1 (P14136) Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 Cluster of Isoform 3 of Plectin OS=Homo sapiens GN=PLEC (Q15149-3) Cluster of Hemoglobin subunit beta OS=Homo sapiens GN=HBB PE=1 SV=2 (P68871) Vimentin OS=Homo sapiens GN=VIM PE=1 SV=4 Cluster of Tubulin beta-3 chain OS=Homo sapiens GN=TUBB3 PE=1 SV=2 (Q13509) Cluster of Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 (P60709) Cluster of Tubulin alpha-1B chain OS=Homo sapiens GN=TUBA1B PE=1 SV=1 (P68363) Cluster of Isoform 2 of Spectrin alpha chain, non-erythrocytic 1 OS=Homo sapiens GN=SPTAN1 (Q13813-2) Hemoglobin subunit alpha OS=Homo sapiens GN=HBA1 PE=1 SV=2 Cluster of Spectrin beta chain, non-erythrocytic 1 OS=Homo sapiens GN=SPTBN1 PE=1 SV=2 (Q01082) Cluster of Pyruvate kinase isozymes M1/M2 OS=Homo sapiens GN=PKM PE=1 SV=4 (P14618) Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 Clathrin heavy chain 1 OS=Homo sapiens GN=CLTC PE=1 SV=5 Filamin-A OS=Homo sapiens GN=FLNA PE=1 SV=4 Cytoplasmic dynein 1 heavy chain 1 OS=Homo sapiens GN=DYNC1H1 PE=1 SV=5 Cluster of ATPase, Na+/K+ transporting, alpha 2 (+) polypeptide OS=Homo sapiens GN=ATP1A2 PE=3 SV=1 (B1AKY9) Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 Dihydropyrimidinase-related protein 2 OS=Homo sapiens GN=DPYSL2 PE=1 SV=1 Cluster of Alpha-actinin-1 OS=Homo sapiens GN=ACTN1 PE=1 SV=2 (P12814) 60 kDa heat shock protein, mitochondrial OS=Homo -
Supplementary Figure S4
18DCIS 18IDC Supplementary FigureS4 22DCIS 22IDC C D B A E (0.77) (0.78) 16DCIS 14DCIS 28DCIS 16IDC 28IDC (0.43) (0.49) 0 ADAMTS12 (p.E1469K) 14IDC ERBB2, LASP1,CDK12( CCNE1 ( NUTM2B SDHC,FCGR2B,PBX1,TPR( CD1D, B4GALT3, BCL9, FLG,NUP21OL,TPM3,TDRD10,RIT1,LMNA,PRCC,NTRK1 0 ADAMTS16 (p.E67K) (0.67) (0.89) (0.54) 0 ARHGEF38 (p.P179Hfs*29) 0 ATG9B (p.P823S) (0.68) (1.0) ARID5B, CCDC6 CCNE1, TSHZ3,CEP89 CREB3L2,TRIM24 BRAF, EGFR (7p11); 0 ABRACL (p.R35H) 0 CATSPER1 (p.P152H) 0 ADAMTS18 (p.Y799C) 19q12 0 CCDC88C (p.X1371_splice) (0) 0 ADRA1A (p.P327L) (10q22.3) 0 CCNF (p.D637N) −4 −2 −4 −2 0 AKAP4 (p.G454A) 0 CDYL (p.Y353Lfs*5) −4 −2 Log2 Ratio Log2 Ratio −4 −2 Log2 Ratio Log2 Ratio 0 2 4 0 2 4 0 ARID2 (p.R1068H) 0 COL27A1 (p.G646E) 0 2 4 0 2 4 2 EDRF1 (p.E521K) 0 ARPP21 (p.P791L) ) 0 DDX11 (p.E78K) 2 GPR101, p.A174V 0 ARPP21 (p.P791T) 0 DMGDH (p.W606C) 5 ANP32B, p.G237S 16IDC (Ploidy:2.01) 16DCIS (Ploidy:2.02) 14IDC (Ploidy:2.01) 14DCIS (Ploidy:2.9) -3 -2 -1 -3 -2 -1 -3 -2 -1 -3 -2 -1 -3 -2 -1 -3 -2 -1 Log Ratio Log Ratio Log Ratio Log Ratio 12DCIS 0 ASPM (p.S222T) Log Ratio Log Ratio 0 FMN2 (p.G941A) 20 1 2 3 2 0 1 2 3 2 ERBB3 (p.D297Y) 2 0 1 2 3 20 1 2 3 0 ATRX (p.L1276I) 20 1 2 3 2 0 1 2 3 0 GALNT18 (p.F92L) 2 MAPK4, p.H147Y 0 GALNTL6 (p.E236K) 5 C11orf1, p.Y53C (10q21.2); 0 ATRX (p.R1401W) PIK3CA, p.H1047R 28IDC (Ploidy:2.0) 28DCIS (Ploidy:2.0) 22IDC (Ploidy:3.7) 22DCIS (Ploidy:4.1) 18IDC (Ploidy:3.9) 18DCIS (Ploidy:2.3) 17q12 0 HCFC1 (p.S2025C) 2 LCMT1 (p.S34A) 0 ATXN7L2 (p.X453_splice) SPEN, p.P677Lfs*13 CBFB 1 2 3 4 5 6 7 8 9 10 11