When Cri Du Chat Syndrome Meets Edwards Syndrome
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Congenital Cataracts–Facial Dysmorphism–Neuropathy
Orphanet Journal of Rare Diseases BioMed Central Review Open Access Congenital Cataracts – Facial Dysmorphism – Neuropathy Luba Kalaydjieva* Address: Western Australian Institute for Medical Research and Centre for Medical Research, The University of Western Australia, Hospital Avenue, WA 6009 Nedlands, Australia Email: Luba Kalaydjieva* - [email protected] * Corresponding author Published: 29 August 2006 Received: 11 July 2006 Accepted: 29 August 2006 Orphanet Journal of Rare Diseases 2006, 1:32 doi:10.1186/1750-1172-1-32 This article is available from: http://www.OJRD.com/content/1/1/32 © 2006 Kalaydjieva; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Congenital Cataracts Facial Dysmorphism Neuropathy (CCFDN) syndrome is a complex developmental disorder of autosomal recessive inheritance. To date, CCFDN has been found to occur exclusively in patients of Roma (Gypsy) ethnicity; over 100 patients have been diagnosed. Developmental abnormalities include congenital cataracts and microcorneae, primary hypomyelination of the peripheral nervous system, impaired physical growth, delayed early motor and intellectual development, mild facial dysmorphism and hypogonadism. Para-infectious rhabdomyolysis is a serious complication reported in an increasing number of patients. During general anaesthesia, patients with CCFDN require careful monitoring as they have an elevated risk of complications. CCFDN is a genetically homogeneous condition in which all patients are homozygous for the same ancestral mutation in the CTDP1 gene. Diagnosis is clinical and is supported by electrophysiological and brain imaging studies. -
RARE CHROMOSOME DISORDERS the Term, ‘Rare Chromosome Disorders’, Refers to Conditions Which
INFORMATION SHEET Page 1 COMPLEX LEARNING DIFFICULTIES AND DISABILITIES RESEARCH PROJECT (CLDD) RARE CHROMOSOME DISORDERS The term, ‘rare chromosome disorders’, refers to conditions which: 1. occur due to missing, duplicated or re-arranged chromosome material 2. have a low prevalence rate (thus not including chromosomal disorders such as Down syndrome). Chromosomes are structures found in the nuclei of cells in human bodies. Each chromosome contains thousands of genes which determine how we grow and develop. A typically developing person will have 23 pairs of chromosomes with one member of each pair being inherited from each parent, giving a total of 46 individual chromosomes. Two of these are the sex chromosomes which determine whether we are female (XX) or male (XY). The remaining 44 chromosomes are grouped in 22 pairs, numbered 1 to 22. The arms of a chromosome are called ‘p’ (shorter arm) and ‘q’ (long arm) (see Figure 1); these arms are separated into numerical regions, which in turn are divided into bands and sub-bands. p q Figure 1. Diagram of a chromosome Individually, rare chromosome disorders are extremely uncommon, with some being actually unique; however, collectively rare chromosome disorders make up at least one in every 200 live births, with babies either having symptoms from birth or early childhood, or being carriers of a chromosomal abnormality and experiencing the effects when they try to reproduce in later life (Searle and Hultén, 2009). Recent advances in technology and medical expertise has meant that chromosomes can be viewed at ever increasing magnifications, which is resulting in the detection of more complex defects. -
Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers
Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers. by Kelly Kennaley A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Molecular and Cellular Pathology) in the University of Michigan 2019 Doctoral Committee: Associate Professor Zaneta Nikolovska-Coleska, Co-Chair Adjunct Associate Professor Scott A. Tomlins, Co-Chair Associate Professor Eric R. Fearon Associate Professor Alexey I. Nesvizhskii Kelly R. Kennaley [email protected] ORCID iD: 0000-0003-2439-9020 © Kelly R. Kennaley 2019 Acknowledgements I have immeasurable gratitude for the unwavering support and guidance I received throughout my dissertation. First and foremost, I would like to thank my thesis advisor and mentor Dr. Scott Tomlins for entrusting me with a challenging, interesting, and impactful project. He taught me how to drive a project forward through set-backs, ask the important questions, and always consider the impact of my work. I’m truly appreciative for his commitment to ensuring that I would get the most from my graduate education. I am also grateful to the many members of the Tomlins lab that made it the supportive, collaborative, and educational environment that it was. I would like to give special thanks to those I’ve worked closely with on this project, particularly Dr. Moloy Goswami for his mentorship, Lei Lucy Wang, Dr. Sumin Han, and undergraduate students Bhavneet Singh, Travis Weiss, and Myles Barlow. I am also grateful for the support of my thesis committee, Dr. Eric Fearon, Dr. Alexey Nesvizhskii, and my co-mentor Dr. Zaneta Nikolovska-Coleska, who have offered guidance and critical evaluation since project inception. -
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. -
Lab 17. Chromosomes and Karyotypes: How Do Two Physically Healthy Parents Produce a Child with Down Syndrome and a Second Child
Lab 17. Chromosomes and Karyotypes: How Do Two Physically Healthy Parents Produce a Child With Down Syndrome and a Second Child With Cri Du Chat Syndrome? Introduction Mendel’s model of inheritance is the basis for modern genetics. This important model can be broken down into four main ideas. First, and foremost, the fundamental unit of inheritance is the gene and alternative versions of a gene (alleles) account for the variation in inheritable characters. Second, an organism inherits two alleles for each character, one from each parent. Third, if the two alleles differ, then one is fully expressed and determines the nature of the specific trait (this version of the gene is called the dominant allele) while the other one has no noticeable effect (this version of the gene is called the recessive allele). Fourth, the two alleles for each character segregate (or separate) during gamete production. Therefore, an egg or a sperm cell only gets one of the two alleles that are present in the somatic cells of the organism. This idea is known as the law of segregation. It was brilliant (or lucky) that Mendel chose plant traits that turned out to have a relatively simple genetic basis. Each trait that he studied is determined by only one gene, and each of these genes only consists of two alleles. These conditions, however, are not met by all inheritable traits. The relationship between traits and genes is not always a simple one. In this investigation, you will use what you know about the relationship between traits and genes to explain how two children from the same family inherited two different genetic disorders. -
Sema4 Noninvasive Prenatal Select
Sema4 Noninvasive Prenatal Select Noninvasive prenatal testing with targeted genome counting 2 Autosomal trisomies 5 Trisomy 21 (Down syndrome) 6 Trisomy 18 (Edwards syndrome) 7 Trisomy 13 (Patau syndrome) 8 Trisomy 16 9 Trisomy 22 9 Trisomy 15 10 Sex chromosome aneuploidies 12 Monosomy X (Turner syndrome) 13 XXX (Trisomy X) 14 XXY (Klinefelter syndrome) 14 XYY 15 Microdeletions 17 22q11.2 deletion 18 1p36 deletion 20 4p16 deletion (Wolf-Hirschhorn syndrome) 20 5p15 deletion (Cri-du-chat syndrome) 22 15q11.2-q13 deletion (Angelman syndrome) 22 15q11.2-q13 deletion (Prader-Willi syndrome) 24 11q23 deletion (Jacobsen Syndrome) 25 8q24 deletion (Langer-Giedion syndrome) 26 Turnaround time 27 Specimen and shipping requirements 27 2 Noninvasive prenatal testing with targeted genome counting Sema4’s Noninvasive Prenatal Testing (NIPT)- Targeted Genome Counting analyzes genetic information of cell-free DNA (cfDNA) through a simple maternal blood draw to determine the risk for common aneuploidies, sex chromosomal abnormalities, and microdeletions, in addition to fetal gender, as early as nine weeks gestation. The test uses paired-end next-generation sequencing technology to provide higher depth across targeted regions. It also uses a laboratory-specific statistical model to help reduce false positive and false negative rates. The test can be offered to all women with singleton, twins and triplet pregnancies, including egg donor. The conditions offered are shown in below tables. For multiple gestation pregnancies, screening of three conditions -
Trisomy 5P Inverted Duplication & Deletion of 5Pftnwdraft3
Trisomy 5p: Inverted duplication and deletion of 5p rarechromo.org Inverted duplication with deletion of 5p Inverted duplication with deletion of 5p, known as inv dup del 5p, is a very rare genetic condition in which there is an extra copy of part of the genetic material (DNA) that makes up the body’s 46 chromosomes, and a missing copy of another part. Like most other chromosome disorders, this usually affects development, and sometimes health and behaviour as well. It is likely that both the extra and missing parts of chromosome 5p have an effect, but a lot depends on their position and size. The precise effects of gaining material from a chromosome vary depending on how large the duplication is, how many genes it contains and what those genes do. The same applies to deletions. The effects may not be limited to the genes within the duplicated or deleted piece of chromosome because these genes may interact with other genes on the same chromosome or other chromosomes. Chromosomes usually come in pairs, and we inherit one chromosome from each parent. Of the 46 chromosomes, two are a pair of sex chromosomes: two Xs for a girl and an X and a Y for a boy. The remaining 44 chromosomes are grouped into 22 pairs and are numbered 1 to 22, approximately from largest to smallest. Each chromosome has a short (p) arm (from petit, the French for small) and a long (q) arm. The diagram below shows the short arm. Chromosome 5 Short (p) arm Bands Base pairs 0Mb 5Mb 10Mb 15Mb 20Mb 25Mb 30Mb 35Mb 40Mb 45Mb 48.4Mb Long (q) arm 2 People have 2 copies of chromosome 5 in most of their body cells. -
Triplet Repeat Length Bias and Variation in the Human Transcriptome
Triplet repeat length bias and variation in the human transcriptome Michael Mollaa,1,2, Arthur Delcherb,1, Shamil Sunyaevc, Charles Cantora,d,2, and Simon Kasifa,e aDepartment of Biomedical Engineering and dCenter for Advanced Biotechnology, Boston University, Boston, MA 02215; bCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742; cDepartment of Medicine, Division of Genetics, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115; and eCenter for Advanced Genomic Technology, Boston University, Boston, MA 02215 Contributed by Charles Cantor, July 6, 2009 (sent for review May 4, 2009) Length variation in short tandem repeats (STRs) is an important family including Huntington’s disease (10) and hereditary ataxias (11, 12). of DNA polymorphisms with numerous applications in genetics, All Huntington’s patients exhibit an expanded number of copies in medicine, forensics, and evolutionary analysis. Several major diseases the CAG tandem repeat subsequence in the N terminus of the have been associated with length variation of trinucleotide (triplet) huntingtin gene. Moreover, an increase in the repeat length is repeats including Huntington’s disease, hereditary ataxias and spi- anti-correlated to the onset age of the disease (13). Multiple other nobulbar muscular atrophy. Using the reference human genome, we diseases have also been associated with copy number variation of have catalogued all triplet repeats in genic regions. This data revealed tandem repeats (8, 14). Researchers have hypothesized that inap- a bias in noncoding DNA repeat lengths. It also enabled a survey of propriate repeat variation in coding regions could result in toxicity, repeat-length polymorphisms (RLPs) in human genomes and a com- incorrect folding, or aggregation of a protein. -
Common Variants in SOX-2 and Congenital Cataract Genes Contribute to Age-Related Nuclear Cataract
ARTICLE https://doi.org/10.1038/s42003-020-01421-2 OPEN Common variants in SOX-2 and congenital cataract genes contribute to age-related nuclear cataract Ekaterina Yonova-Doing et al.# 1234567890():,; Nuclear cataract is the most common type of age-related cataract and a leading cause of blindness worldwide. Age-related nuclear cataract is heritable (h2 = 0.48), but little is known about specific genetic factors underlying this condition. Here we report findings from the largest to date multi-ethnic meta-analysis of genome-wide association studies (discovery cohort N = 14,151 and replication N = 5299) of the International Cataract Genetics Consortium. We confirmed the known genetic association of CRYAA (rs7278468, P = 2.8 × 10−16) with nuclear cataract and identified five new loci associated with this dis- ease: SOX2-OT (rs9842371, P = 1.7 × 10−19), TMPRSS5 (rs4936279, P = 2.5 × 10−10), LINC01412 (rs16823886, P = 1.3 × 10−9), GLTSCR1 (rs1005911, P = 9.8 × 10−9), and COMMD1 (rs62149908, P = 1.2 × 10−8). The results suggest a strong link of age-related nuclear cat- aract with congenital cataract and eye development genes, and the importance of common genetic variants in maintaining crystalline lens integrity in the aging eye. #A list of authors and their affiliations appears at the end of the paper. COMMUNICATIONS BIOLOGY | (2020) 3:755 | https://doi.org/10.1038/s42003-020-01421-2 | www.nature.com/commsbio 1 ARTICLE COMMUNICATIONS BIOLOGY | https://doi.org/10.1038/s42003-020-01421-2 ge-related cataract is the leading cause of blindness, structure (meta-analysis genomic inflation factor λ = 1.009, accounting for more than one-third of blindness Supplementary Table 4 and Supplementary Fig. -
Diseases of the Digestive System (KOO-K93)
CHAPTER XI Diseases of the digestive system (KOO-K93) Diseases of oral cavity, salivary glands and jaws (KOO-K14) lijell Diseases of pulp and periapical tissues 1m Dentofacial anomalies [including malocclusion] Excludes: hemifacial atrophy or hypertrophy (Q67.4) K07 .0 Major anomalies of jaw size Hyperplasia, hypoplasia: • mandibular • maxillary Macrognathism (mandibular)(maxillary) Micrognathism (mandibular)( maxillary) Excludes: acromegaly (E22.0) Robin's syndrome (087.07) K07 .1 Anomalies of jaw-cranial base relationship Asymmetry of jaw Prognathism (mandibular)( maxillary) Retrognathism (mandibular)(maxillary) K07.2 Anomalies of dental arch relationship Cross bite (anterior)(posterior) Dis to-occlusion Mesio-occlusion Midline deviation of dental arch Openbite (anterior )(posterior) Overbite (excessive): • deep • horizontal • vertical Overjet Posterior lingual occlusion of mandibular teeth 289 ICO-N A K07.3 Anomalies of tooth position Crowding Diastema Displacement of tooth or teeth Rotation Spacing, abnormal Transposition Impacted or embedded teeth with abnormal position of such teeth or adjacent teeth K07.4 Malocclusion, unspecified K07.5 Dentofacial functional abnormalities Abnormal jaw closure Malocclusion due to: • abnormal swallowing • mouth breathing • tongue, lip or finger habits K07.6 Temporomandibular joint disorders Costen's complex or syndrome Derangement of temporomandibular joint Snapping jaw Temporomandibular joint-pain-dysfunction syndrome Excludes: current temporomandibular joint: • dislocation (S03.0) • strain (S03.4) K07.8 Other dentofacial anomalies K07.9 Dentofacial anomaly, unspecified 1m Stomatitis and related lesions K12.0 Recurrent oral aphthae Aphthous stomatitis (major)(minor) Bednar's aphthae Periadenitis mucosa necrotica recurrens Recurrent aphthous ulcer Stomatitis herpetiformis 290 DISEASES OF THE DIGESTIVE SYSTEM Diseases of oesophagus, stomach and duodenum (K20-K31) Ill Oesophagitis Abscess of oesophagus Oesophagitis: • NOS • chemical • peptic Use additional external cause code (Chapter XX), if desired, to identify cause. -
Abstracts from the 50Th European Society of Human Genetics Conference: Electronic Posters
European Journal of Human Genetics (2019) 26:820–1023 https://doi.org/10.1038/s41431-018-0248-6 ABSTRACT Abstracts from the 50th European Society of Human Genetics Conference: Electronic Posters Copenhagen, Denmark, May 27–30, 2017 Published online: 1 October 2018 © European Society of Human Genetics 2018 The ESHG 2017 marks the 50th Anniversary of the first ESHG Conference which took place in Copenhagen in 1967. Additional information about the event may be found on the conference website: https://2017.eshg.org/ Sponsorship: Publication of this supplement is sponsored by the European Society of Human Genetics. All authors were asked to address any potential bias in their abstract and to declare any competing financial interests. These disclosures are listed at the end of each abstract. Contributions of up to EUR 10 000 (ten thousand euros, or equivalent value in kind) per year per company are considered "modest". Contributions above EUR 10 000 per year are considered "significant". 1234567890();,: 1234567890();,: E-P01 Reproductive Genetics/Prenatal and fetal echocardiography. The molecular karyotyping Genetics revealed a gain in 8p11.22-p23.1 region with a size of 27.2 Mb containing 122 OMIM gene and a loss in 8p23.1- E-P01.02 p23.3 region with a size of 6.8 Mb containing 15 OMIM Prenatal diagnosis in a case of 8p inverted gene. The findings were correlated with 8p inverted dupli- duplication deletion syndrome cation deletion syndrome. Conclusion: Our study empha- sizes the importance of using additional molecular O¨. Kırbıyık, K. M. Erdog˘an, O¨.O¨zer Kaya, B. O¨zyılmaz, cytogenetic methods in clinical follow-up of complex Y. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine