Chromosomal Microarray Analysis As a First-Tier Clinical Diagnostic Test
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Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle
Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle Slim Ben-Jemaa, Gabriele Senczuk, Elena Ciani, Roberta Ciampolini, Gennaro Catillo, Mekki Boussaha, Fabio Pilla, Baldassare Portolano, Salvatore Mastrangelo To cite this version: Slim Ben-Jemaa, Gabriele Senczuk, Elena Ciani, Roberta Ciampolini, Gennaro Catillo, et al.. Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle. Frontiers in Genetics, Frontiers, 2021, 10.3389/fgene.2021.675569. hal-03210766 HAL Id: hal-03210766 https://hal.inrae.fr/hal-03210766 Submitted on 28 Apr 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License ORIGINAL RESEARCH published: 28 April 2021 doi: 10.3389/fgene.2021.675569 Genome-Wide Analysis Reveals Selection Signatures Involved in Meat Traits and Local Adaptation in Semi-Feral Maremmana Cattle Slim Ben-Jemaa 1, Gabriele Senczuk 2, Elena Ciani 3, Roberta -
Novel Mutations Consolidate KCTD7 As a Progressive Myoclonus Epilepsy Gene
Europe PMC Funders Group Author Manuscript J Med Genet. Author manuscript; available in PMC 2013 September 16. Published in final edited form as: J Med Genet. 2012 June ; 49(6): 391–399. doi:10.1136/jmedgenet-2012-100859. Europe PMC Funders Author Manuscripts Novel mutations consolidate KCTD7 as a progressive myoclonus epilepsy gene Maria Kousi1,2, Verneri Anttila3,4, Angela Schulz5, Stella Calafato3, Eveliina Jakkula4, Erik Riesch6, Liisa Myllykangas1,7, Hannu Kalimo7, Meral Topcu8, Sarenur Gokben9, Fusun Alehan10, Johannes R Lemke11, Michael Alber12, Aarno Palotie3,4,13,14, Outi Kopra1,2, and Anna-Elina Lehesjoki1,2 1Folkhälsan Institute of Genetics, Finland 2Haartman Institute, Department of Medical Genetics and Research Program’s Unit, Molecular Medicine, and Neuroscience Center, University of Helsinki, Finland 3Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK 4Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland 5Children’s Hospital, University Medical Center Hamburg Eppendorf, Hamburg, Germany 6CeGaT GmbH, Tübingen, Germany 7Department of Pathology, University of Helsinki, and Helsinki University Central Hospital, Helsinki, Finland 8Department of Pediatrics, Hacettepe University Faculty of Medicine, Section of Child Neurology, Ankara, Turkey 9Department of Pediatrics, Ege University Medical Faculty, Izmir, Turkey 10Baskent University Faculty of Medicine Division of Child Neurology, Baskent, Turkey 11University Children’s Hospital, Inselspital, Bern, Switzerland 12Department -
Identification of Potential Key Genes and Pathway Linked with Sporadic Creutzfeldt-Jakob Disease Based on Integrated Bioinformatics Analyses
medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Identification of potential key genes and pathway linked with sporadic Creutzfeldt-Jakob disease based on integrated bioinformatics analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Abstract Sporadic Creutzfeldt-Jakob disease (sCJD) is neurodegenerative disease also called prion disease linked with poor prognosis. The aim of the current study was to illuminate the underlying molecular mechanisms of sCJD. The mRNA microarray dataset GSE124571 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened. -
A Systems-Genetics Analyses of Complex Phenotypes
A systems-genetics analyses of complex phenotypes A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Life Sciences 2015 David Ashbrook Table of contents Table of contents Table of contents ............................................................................................... 1 Tables and figures ........................................................................................... 10 General abstract ............................................................................................... 14 Declaration ....................................................................................................... 15 Copyright statement ........................................................................................ 15 Acknowledgements.......................................................................................... 16 Chapter 1: General introduction ...................................................................... 17 1.1 Overview................................................................................................... 18 1.2 Linkage, association and gene annotations .............................................. 20 1.3 ‘Big data’ and ‘omics’ ................................................................................ 22 1.4 Systems-genetics ..................................................................................... 24 1.5 Recombinant inbred (RI) lines and the BXD .............................................. 25 Figure 1.1: -
A Genome-Wide Linkage and Association Study of Musical Aptitude Identifies Loci Containing Genes Related to Inner Ear Development and Neurocognitive Functions
Molecular Psychiatry (2015) 20, 275–282 © 2015 Macmillan Publishers Limited All rights reserved 1359-4184/15 www.nature.com/mp ORIGINAL ARTICLE A genome-wide linkage and association study of musical aptitude identifies loci containing genes related to inner ear development and neurocognitive functions J Oikkonen1,2, Y Huang3, P Onkamo2, L Ukkola-Vuoti1, P Raijas4, K Karma4, VJ Vieland3 and I Järvelä1 Humans have developed the perception, production and processing of sounds into the art of music. A genetic contribution to these skills of musical aptitude has long been suggested. We performed a genome-wide scan in 76 pedigrees (767 individuals) characterized for the ability to discriminate pitch (SP), duration (ST) and sound patterns (KMT), which are primary capacities for music perception. Using the Bayesian linkage and association approach implemented in program package KELVIN, especially designed for complex pedigrees, several single nucleotide polymorphisms (SNPs) near genes affecting the functions of the auditory pathway and neurocognitive processes were identified. The strongest association was found at 3q21.3 (rs9854612) with combined SP, ST and KMT test scores (COMB). This region is located a few dozen kilobases upstream of the GATA binding protein 2 (GATA2) gene. GATA2 regulates the development of cochlear hair cells and the inferior colliculus (IC), which are important in tonotopic mapping. The highest probability of linkage was obtained for phenotype SP at 4p14, located next to the region harboring the protocadherin 7 gene, PCDH7. Two SNPs rs13146789 and rs13109270 of PCDH7 showed strong association. PCDH7 has been suggested to play a role in cochlear and amygdaloid complexes. Functional class analysis showed that inner ear and schizophrenia- related genes were enriched inside the linked regions. -
Variation in Protein Coding Genes Identifies Information Flow
bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. 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. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. 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. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number. -
Datasheet Blank Template
SAN TA C RUZ BI OTEC HNOL OG Y, INC . KCTD8 (N-17): sc-247240 BACKGROUND APPLICATIONS The BTB (broad-complex, tramtrack and bric a brac) domain, also known as KCTD8 (N-17) is recommended for detection of KCTD8 of mouse, rat and the POZ (POxvirus and Zinc finger) domain, is an N-terminal homodimeriza - human origin by Western Blotting (starting dilution 1:200, dilution range tion domain that contains multiple copies of kelch repeats and/or C 2H2-type 1:100-1:1000), immunofluorescence (starting dilution 1:50, dilution range zinc fingers. Proteins that contain BTB domains are thought to be involved in 1:50-1:500) and solid phase ELISA (starting dilution 1:30, dilution range transcriptional regulation via control of chromatin structure and function. 1:30-1:3000); non cross-reactive with KCTD family members. KCTD8 (potassium channel tetramerisation domain containing 8) is a 473 Suitable for use as control antibody for KCTD8 siRNA (h): sc-89042, KCTD8 amino acid protein that contains one BTB domain, suggesting a possible siRNA (m): sc-146399, KCTD8 shRNA Plasmid (h): sc-89042-SH, KCTD8 role as a transcriptional regulator. KCTD8 is encoded by a gene located on shRNA Plasmid (m): sc-146399-SH, KCTD8 shRNA (h) Lentiviral Particles: human chromosome 4, which encodes nearly 6% of the human genome and sc-89042-V and KCTD8 shRNA (m) Lentiviral Particles: sc-146399-V. has the largest gene deserts (regions of the genome with no protein encod - ing genes) of all of the human chromosomes. Defects in some of the genes Molecular Weight of KCTD8: 52 kDa. -
Identification of Selection Signatures in Cattle Breeds Selected for Dairy Production
Copyright Ó 2010 by the Genetics Society of America DOI: 10.1534/genetics.110.116111 Identification of Selection Signatures in Cattle Breeds Selected for Dairy Production Alessandra Stella,* Paolo Ajmone-Marsan,† Barbara Lazzari‡ and Paul Boettcher§,1 *Istituto di Biologia e Biotecnologia Agraria, Consiglio Nazionale delle Ricerche, 20133 Milan, Italy, †Istituto di Zootecnica, Universita` Cattolica del Sacro Cuore, 29100 Piacenza, Italy, ‡Parco Tecnologico Padano, 26900 Lodi, Italy and §Joint Food and Agriculture Organization of the United Nations–International Atomic Energy Agency Division for Nuclear Applications to Food and Agriculture, International Atomic Energy Agency, A-1400 Vienna, Austria Manuscript received February 27, 2010 Accepted for publication May 4, 2010 ABSTRACT The genomics revolution has spurred the undertaking of HapMap studies of numerous species, allowing for population genomics to increase the understanding of how selection has created genetic differences between subspecies populations. The objectives of this study were to (1) develop an approach to detect signatures of selection in subsets of phenotypically similar breeds of livestock by comparing single nucleotide polymorphism (SNP) diversity between the subset and a larger population, (2) verify this method in breeds selected for simply inherited traits, and (3) apply this method to the dairy breeds in the International Bovine HapMap (IBHM) study. The data consisted of genotypes for 32,689 SNPs of 497 animals from 19 breeds. For a given subset of breeds, the test statistic was the parametric composite log likelihood (CLL) of the differences in allelic frequencies between the subset and the IBHM for a sliding window of SNPs. The null distribution was obtained by calculating CLL for 50,000 random subsets (per chromosome) of individuals.