Genomics of Ovarian Cancer Progression Reveals Diverse Metastatic Trajectories Including Intraepithelial Metastasis to the Fallopian Tube
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Identification of FBXL4 As a Metastasis Associated Gene in Prostate Cancer
Identification of FBXL4 as a Metastasis Associated Gene in Prostate Cancer Elzbieta Stankiewicz1 , Xueying Mao1, D Chas Mangham2 , Lei Xu1, Marc Yeste- Velasco1, Gabrielle Fisher3, Bernard North3, Tracy Chaplin1, Bryan Young4, Yuqin Wang1, Jasmin Kaur Bansal1, Sakunthala Kudahetti1, Lucy Spencer1, Christopher S Foster5, Henrik Moller6, Peter Scardino7, R Tim Oliver1, Jonathan Shamash1, Jack Cuzick3, Colin S Cooper8, Daniel M Berney1,+, Yong-Jie Lu1,+,* 1 Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK 2 The Robert Jones and Agnes Hunt Orthopaedic Hospital, Department of Pathology, Oswestry, Shropshire SY10 7AG, UK 3 Cancer Research UK Centre for Epidemiology, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London EC1 6BQ, UK 4 Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK 5 Division of Cellular and Molecular Pathology, University of Liverpool, Liverpool L69 3BX, UK 6 King's College London, Cancer Epidemiology and Population Health, London SE1 9RT, UK 7 Department of Urology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA 1 8 School of Medicine, University of East Anglia, Norwich, NR4 7TJ, UK +These authors contributed equally as senior role *Corresponding author: Yong-Jie Lu, Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, Telephone number: 442078823563, Fax: 442078823884, e-mail address: [email protected] 2 Abstract Prostate cancer is the most common cancer among western men, with a significant mortality and morbidity reported for advanced metastatic disease. Current understanding of metastatic disease is limited due to difficulty of sampling as prostate cancer mainly metastasizes to bone. -
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, -
Exploring the Relationship Between Gut Microbiota and Major Depressive Disorders
E3S Web of Conferences 271, 03055 (2021) https://doi.org/10.1051/e3sconf/202127103055 ICEPE 2021 Exploring the Relationship between Gut Microbiota and Major Depressive Disorders Catherine Tian1 1Shanghai American School, Shanghai, China Abstract. Major Depressive Disorder (MDD) is a psychiatric disorder accompanied with a high rate of suicide, morbidity and mortality. With the symptom of an increasing or decreasing appetite, there is a possibility that MDD may have certain connections with gut microbiota, the colonies of microbes which reside in the human digestive system. In recent years, more and more studies started to demonstrate the links between MDD and gut microbiota from animal disease models and human metabolism studies. However, this relationship is still largely understudied, but it is very innovative since functional dissection of this relationship would furnish a new train of thought for more effective treatment of MDD. In this study, by using multiple genetic analytic tools including Allen Brain Atlas, genetic function analytical tools, and MicrobiomeAnalyst, I explored the genes that shows both expression in the brain and the digestive system to affirm that there is a connection between gut microbiota and the MDD. My approach finally identified 7 MDD genes likely to be associated with gut microbiota, implicating 3 molecular pathways: (1) Wnt Signaling, (2) citric acid cycle in the aerobic respiration, and (3) extracellular exosome signaling. These findings may shed light on new directions to understand the mechanism of MDD, potentially facilitating the development of probiotics for better psychiatric disorder treatment. 1 Introduction 1.1 Major Depressive Disorder Major Depressive Disorder (MDD) is a mood disorder that will affect the mood, behavior and other physical parts. -
Global Ubiquitylation Analysis of Mitochondria in Primary Neurons
bioRxiv preprint doi: https://doi.org/10.1101/2021.04.01.438131; this version posted April 1, 2021. 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 4.0 International license. Global ubiquitylation analysis of mitochondria in primary neurons identifies physiological Parkin targets following activation of PINK1 Odetta Antico1#, Alban Ordureau2#, Michael Stevens1, Francois Singh1, Marek φ Gierlinski3, Erica Barini1 , Mollie L. Rickwood1, Alan Prescott4, Rachel Toth1, Ian G. Ganley1, J. Wade Harper2*, and Miratul M. K. Muqit1* 1MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee, United Kingdom, DD1 5EH, U.K. 2Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA 3Data Analysis Group, Division of Computational Biology, School of Life Sciences, University of Dundee, Dundee, United Kingdom, DD1 5EH, U.K. 4Dundee Imaging Facility, School of Life Sciences, University of Dundee, Dundee, United Kingdom, DD1 5EH, U.K #Denotes Equal Contribution φCurrent address: AbbVie Deutschland GmbH & Co, Knollstr, 67061, Ludwigshafen, Germany *Correspondence: [email protected] or [email protected] Keywords Neurons, PINK1, Parkin, ubiquitin, Parkinson’s disease, Mitochondria, Running Title: Ubiquitin analysis of mitochondria in neurons 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.04.01.438131; this version posted April 1, 2021. 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. -
Structural Determinants of Adhesion by Protocadherin-19 and Implications for Its Role in Epilepsy Sharon Cooper Cedarville University, [email protected]
Cedarville University DigitalCommons@Cedarville Science and Mathematics Faculty Publications Department of Science and Mathematics 10-27-2016 Structural Determinants of Adhesion by Protocadherin-19 and Implications for Its Role in Epilepsy Sharon Cooper Cedarville University, [email protected] James D. Jontes Marcos Sotomayor Follow this and additional works at: http://digitalcommons.cedarville.edu/ science_and_mathematics_publications Part of the Biology Commons, and the Cell Biology Commons Recommended Citation Cooper, S. R., Jontes, J. D., Sotomayor, M. (2016) Structural determinants of adhesion by Protocadherin-19 and implications for its role in epilepsy. eLife. 5:e18529. http://dx.doi.org/10.7554/eLife.18529. This Article is brought to you for free and open access by DigitalCommons@Cedarville, a service of the Centennial Library. It has been accepted for inclusion in Science and Mathematics Faculty Publications by an authorized administrator of DigitalCommons@Cedarville. For more information, please contact [email protected]. RESEARCH ARTICLE Structural determinants of adhesion by Protocadherin-19 and implications for its role in epilepsy Sharon R Cooper1,2, James D Jontes2*, Marcos Sotomayor1* 1Department of Chemistry and Biochemistry, The Ohio State University, Columbus, United States; 2Department of Neuroscience, The Ohio State University, Columbus, United States Abstract Non-clustered d-protocadherins are homophilic cell adhesion molecules essential for the development of the vertebrate nervous system, as several are closely linked to neurodevelopmental disorders. Mutations in protocadherin-19 (PCDH19) result in a female-limited, infant-onset form of epilepsy (PCDH19-FE). Over 100 mutations in PCDH19 have been identified in patients with PCDH19-FE, about half of which are missense mutations in the adhesive extracellular domain. -
Highly Frequent Allelic Loss of Chromosome 6Q16-23 in Osteosarcoma: Involvement of Cyclin C in Osteosarcoma
1153-1158 5/11/06 16:31 Page 1153 INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE 18: 1153-1158, 2006 Highly frequent allelic loss of chromosome 6q16-23 in osteosarcoma: Involvement of cyclin C in osteosarcoma NORIHIDE OHATA1, SACHIO ITO2, AKI YOSHIDA1, TOSHIYUKI KUNISADA1, KUNIHIKO NUMOTO1, YOSHIMI JITSUMORI2, HIROTAKA KANZAKI2, TOSHIFUMI OZAKI1, KENJI SHIMIZU2 and MAMORU OUCHIDA2 1Science of Functional Recovery and Reconstruction, 2Department of Molecular Genetics, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Shikata-cho 2-5-1, Okayama 700-8558, Japan Received June 13, 2006; Accepted August 14, 2006 Abstract. The molecular pathogenesis of osteosarcoma is very rearrangements (1,2). It has been reported that both RB1 and complicated and associated with chaotic abnormalities on many TP53 pathways are inactivated, and the regulation of cell cycle chromosomal arms. We analyzed 12 cases of osteosarcomas is impaired in most osteosarcomas (1). For example, deletion/ with comparative genomic hybridization (CGH) to identify mutation of the CDKN2A gene encoding both p16INK4A and chromosomal imbalances, and detected highly frequent p14ARF on 9p21 (3-5), amplification of the CDK4 (6), CCND1, chromosomal alterations in chromosome 6q, 8p, 10p and MDM2 genes (4), and other aberrations related to inactivation 10q. To define the narrow rearranged region on chromosome 6 of these pathways have been found. Tumor suppressor genes with higher resolution, loss of heterozygosity (LOH) analysis (TSGs) are suspected to be involved in tumorigenesis of was performed with 21 microsatellite markers. Out of 31 cases, osteosarcoma. Loss of heterozygosity (LOH) studies have 23 cases (74%) showed allelic loss at least with one marker on detected frequent allelic loss at 3q, 13q, 17p and 18q (7). -
A Discovery Resource of Rare Copy Number Variations in Individuals with Autism Spectrum Disorder
INVESTIGATION A Discovery Resource of Rare Copy Number Variations in Individuals with Autism Spectrum Disorder Aparna Prasad,* Daniele Merico,* Bhooma Thiruvahindrapuram,* John Wei,* Anath C. Lionel,*,† Daisuke Sato,* Jessica Rickaby,* Chao Lu,* Peter Szatmari,‡ Wendy Roberts,§ Bridget A. Fernandez,** Christian R. Marshall,*,†† Eli Hatchwell,‡‡ Peggy S. Eis,‡‡ and Stephen W. Scherer*,†,††,1 *The Centre for Applied Genomics, Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto M5G 1L7, Canada, †Department of Molecular Genetics, University of Toronto, Toronto M5G 1L7, Canada, ‡Offord Centre for Child Studies, Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton L8P 3B6, § Canada, Autism Research Unit, The Hospital for Sick Children, Toronto M5G 1X8, Canada, **Disciplines of Genetics and Medicine, Memorial University of Newfoundland, St. John’s, Newfoundland A1B 3V6, Canada, ††McLaughlin Centre, University of Toronto, Toronto M5G 1L7, Canada, and ‡‡Population Diagnostics, Inc., Melville, New York 11747 ABSTRACT The identification of rare inherited and de novo copy number variations (CNVs) in human KEYWORDS subjects has proven a productive approach to highlight risk genes for autism spectrum disorder (ASD). A rare variants variety of microarrays are available to detect CNVs, including single-nucleotide polymorphism (SNP) arrays gene copy and comparative genomic hybridization (CGH) arrays. Here, we examine a cohort of 696 unrelated ASD number cases using a high-resolution one-million feature CGH microarray, the majority of which were previously chromosomal genotyped with SNP arrays. Our objective was to discover new CNVs in ASD cases that were not detected abnormalities by SNP microarray analysis and to delineate novel ASD risk loci via combined analysis of CGH and SNP array cytogenetics data sets on the ASD cohort and CGH data on an additional 1000 control samples. -
A Novel JAK1 Mutant Breast Implant-Associated Anaplastic Large Cell Lymphoma Patient-Derived Xenograft Fostering Pre- Clinical Discoveries
Cancers 2019 S1 of S18 Supplementary Materials: A Novel JAK1 Mutant Breast Implant-Associated Anaplastic Large Cell Lymphoma Patient-Derived Xenograft Fostering Pre- Clinical Discoveries Danilo Fiore, Luca Vincenzo Cappelli, Paul Zumbo, Jude M. Phillip, Zhaoqi Liu, Shuhua Cheng, Liron Yoffe, Paola Ghione, Federica Di Maggio, Ahmet Dogan, Inna Khodos, Elisa de Stanchina, Joseph Casano, Clarisse Kayembe, Wayne Tam, Doron Betel, Robin Foa’, Leandro Cerchietti, Raul Rabadan, Steven Horwitz, David M. Weinstock and Giorgio Inghirami A B C Figure S1. (A) Histology micrografts on IL89 PDTX show overall similarity between T1 T3 and T7 passages (upper panels). Immunohistochemical stains with the indicated antibodies (anti-CD3, anti- CD25 and anti-CD8 [x20]) (lower panels). (B) Flow cytometry panel comprehensive of the most represented surface T-cell lymphoma markers, including: CD2, CD3, CD4, CD5, CD8, CD16, CD25, CD30, CD56, TCRab, TCRgd. IL89 PDTX passage T3 is here depicted for illustration purposes. (C) Analysis of the TCR gamma specific rearrangement clonality in IL89 diagnostic sample and correspondent PDTX after 1 and 5 passages (T1 and T5). A WT Primary p.G1097D IL89 T1 p.G1097D IL89 T5 p.G1097D IL89 cell line B Figure S2. (A) Sanger sequencing confirms the presence of the JAK1 p.G1097D mutation in IL89 PDTX samples and in the cell line, but the mutation is undetectable in the primary due to the low sensitivity of the technique. (B) Manual backtracking of mutations in the primary tumor using deep sequencing data allowed for the identification of several hits at a very low VAF compared to the PDTX-T5. A B IL89 CTRL 30 CTRL Ruxoli?nib S 20 M Ruxoli?nib A R G 10 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 1 1 1 1 1 WEEKS AFTER ENGRAFTMENT Figure S3. -
Molecular Signatures Differentiate Immune States in Type 1 Diabetes Families
Page 1 of 65 Diabetes Molecular signatures differentiate immune states in Type 1 diabetes families Yi-Guang Chen1, Susanne M. Cabrera1, Shuang Jia1, Mary L. Kaldunski1, Joanna Kramer1, Sami Cheong2, Rhonda Geoffrey1, Mark F. Roethle1, Jeffrey E. Woodliff3, Carla J. Greenbaum4, Xujing Wang5, and Martin J. Hessner1 1The Max McGee National Research Center for Juvenile Diabetes, Children's Research Institute of Children's Hospital of Wisconsin, and Department of Pediatrics at the Medical College of Wisconsin Milwaukee, WI 53226, USA. 2The Department of Mathematical Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA. 3Flow Cytometry & Cell Separation Facility, Bindley Bioscience Center, Purdue University, West Lafayette, IN 47907, USA. 4Diabetes Research Program, Benaroya Research Institute, Seattle, WA, 98101, USA. 5Systems Biology Center, the National Heart, Lung, and Blood Institute, the National Institutes of Health, Bethesda, MD 20824, USA. Corresponding author: Martin J. Hessner, Ph.D., The Department of Pediatrics, The Medical College of Wisconsin, Milwaukee, WI 53226, USA Tel: 011-1-414-955-4496; Fax: 011-1-414-955-6663; E-mail: [email protected]. Running title: Innate Inflammation in T1D Families Word count: 3999 Number of Tables: 1 Number of Figures: 7 1 For Peer Review Only Diabetes Publish Ahead of Print, published online April 23, 2014 Diabetes Page 2 of 65 ABSTRACT Mechanisms associated with Type 1 diabetes (T1D) development remain incompletely defined. Employing a sensitive array-based bioassay where patient plasma is used to induce transcriptional responses in healthy leukocytes, we previously reported disease-specific, partially IL-1 dependent, signatures associated with pre and recent onset (RO) T1D relative to unrelated healthy controls (uHC). -
Nº Ref Uniprot Proteína Péptidos Identificados Por MS/MS 1 P01024
Document downloaded from http://www.elsevier.es, day 26/09/2021. This copy is for personal use. Any transmission of this document by any media or format is strictly prohibited. Nº Ref Uniprot Proteína Péptidos identificados 1 P01024 CO3_HUMAN Complement C3 OS=Homo sapiens GN=C3 PE=1 SV=2 por 162MS/MS 2 P02751 FINC_HUMAN Fibronectin OS=Homo sapiens GN=FN1 PE=1 SV=4 131 3 P01023 A2MG_HUMAN Alpha-2-macroglobulin OS=Homo sapiens GN=A2M PE=1 SV=3 128 4 P0C0L4 CO4A_HUMAN Complement C4-A OS=Homo sapiens GN=C4A PE=1 SV=1 95 5 P04275 VWF_HUMAN von Willebrand factor OS=Homo sapiens GN=VWF PE=1 SV=4 81 6 P02675 FIBB_HUMAN Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 78 7 P01031 CO5_HUMAN Complement C5 OS=Homo sapiens GN=C5 PE=1 SV=4 66 8 P02768 ALBU_HUMAN Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 66 9 P00450 CERU_HUMAN Ceruloplasmin OS=Homo sapiens GN=CP PE=1 SV=1 64 10 P02671 FIBA_HUMAN Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 58 11 P08603 CFAH_HUMAN Complement factor H OS=Homo sapiens GN=CFH PE=1 SV=4 56 12 P02787 TRFE_HUMAN Serotransferrin OS=Homo sapiens GN=TF PE=1 SV=3 54 13 P00747 PLMN_HUMAN Plasminogen OS=Homo sapiens GN=PLG PE=1 SV=2 48 14 P02679 FIBG_HUMAN Fibrinogen gamma chain OS=Homo sapiens GN=FGG PE=1 SV=3 47 15 P01871 IGHM_HUMAN Ig mu chain C region OS=Homo sapiens GN=IGHM PE=1 SV=3 41 16 P04003 C4BPA_HUMAN C4b-binding protein alpha chain OS=Homo sapiens GN=C4BPA PE=1 SV=2 37 17 Q9Y6R7 FCGBP_HUMAN IgGFc-binding protein OS=Homo sapiens GN=FCGBP PE=1 SV=3 30 18 O43866 CD5L_HUMAN CD5 antigen-like OS=Homo -
Lessons Learned from Additional Research Analyses of Unsolved Clinical Exome Cases Mohammad K
Eldomery et al. Genome Medicine (2017) 9:26 DOI 10.1186/s13073-017-0412-6 RESEARCH Open Access Lessons learned from additional research analyses of unsolved clinical exome cases Mohammad K. Eldomery1,18†, Zeynep Coban-Akdemir1†, Tamar Harel1†,JillA.Rosenfeld1, Tomasz Gambin1,2, Asbjørg Stray-Pedersen3, Sébastien Küry4,SandraMercier4,5,DavorLessel6,JonasDenecke7, Wojciech Wiszniewski1,8, Samantha Penney1, Pengfei Liu1,9,WeiminBi1,9, Seema R. Lalani1,8, Christian P. Schaaf1,8,10, Michael F. Wangler1,8, Carlos A. Bacino1,8, Richard Alan Lewis1,10, Lorraine Potocki1,8, Brett H. Graham1,8,JohnW.Belmont1,8, Fernando Scaglia1,8,JordanS.Orange11,12, Shalini N. Jhangiani13,TheodoreChiang13, Harsha Doddapaneni13, Jianhong Hu13, Donna M. Muzny13, Fan Xia1,9, Arthur L. Beaudet1,9,EricBoerwinkle13,14, Christine M. Eng1,9, Sharon E. Plon1,8,11,15,V.ReidSutton1,8, Richard A. Gibbs1,13,16, Jennifer E. Posey1, Yaping Yang1,9 and James R. Lupski1,8,11,13,17* Abstract Background: Given the rarity of most single-gene Mendelian disorders, concerted efforts of data exchange between clinical and scientific communities are critical to optimize molecular diagnosis and novel disease gene discovery. Methods: We designed and implemented protocols for the study of cases for which a plausible molecular diagnosis was not achieved in a clinical genomics diagnostic laboratory (i.e. unsolved clinical exomes). Such cases were recruited to a research laboratory for further analyses, in order to potentially: (1) accelerate novel disease gene discovery; (2) increase the molecular diagnostic yield of whole exome sequencing (WES); and (3) gain insight into the genetic mechanisms of disease. Pilot project data included 74 families, consisting mostly of parent–offspring trios. -
Idiopathic Scoliosis Families Highlight Actin-Based and Microtubule-Based Cellular Projections and Extracellular Matrix in Disease Etiology
INVESTIGATION Idiopathic Scoliosis Families Highlight Actin-Based and Microtubule-Based Cellular Projections and Extracellular Matrix in Disease Etiology Erin E. Baschal,*,1 Elizabeth A. Terhune,* Cambria I. Wethey,* Robin M. Baschal,*,† Kandice D. Robinson,* Melissa T. Cuevas,* Shreyash Pradhan,* Brittan S. Sutphin,* Matthew R. G. Taylor,‡ Katherine Gowan,§ Chad G. Pearson,** Lee A. Niswander,§,†† Kenneth L. Jones,§ and Nancy H. Miller*,† *Department of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, CO, †Musculoskeletal Research § Center, Children’s Hospital Colorado, Aurora, CO, ‡Department of Cardiology, Department of Pediatrics, and **Department of Cell and Developmental Biology, University of Colorado Anschutz Medical Campus, Aurora, CO, and ††Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO ORCID IDs: 0000-0002-8936-434X (E.E.B.); 0000-0003-1915-6593 (C.G.P.) ABSTRACT Idiopathic scoliosis (IS) is a structural lateral spinal curvature of $10° that affects up to 3% of KEYWORDS otherwise healthy children and can lead to life-long problems in severe cases. It is well-established that IS is idiopathic a genetic disorder. Previous studies have identified genes that may contribute to the IS phenotype, but the scoliosis overall genetic etiology of IS is not well understood. We used exome sequencing to study five multigen- exome erational families with IS. Bioinformatic analyses identified unique and low frequency variants (minor allele sequencing frequency #5%) that were present in all sequenced members of the family. Across the five families, we actin identified a total of 270 variants with predicted functional consequences in 246 genes, and found that eight cytoskeleton genes were shared by two families.