Identification of Genetic Factors Underpinning Phenotypic Heterogeneity in Huntington’S Disease and Other Neurodegenerative Disorders

Total Page:16

File Type:pdf, Size:1020Kb

Identification of Genetic Factors Underpinning Phenotypic Heterogeneity in Huntington’S Disease and Other Neurodegenerative Disorders Identification of genetic factors underpinning phenotypic heterogeneity in Huntington’s disease and other neurodegenerative disorders. By Dr Davina J Hensman Moss A thesis submitted to University College London for the degree of Doctor of Philosophy Department of Neurodegenerative Disease Institute of Neurology University College London (UCL) 2020 1 I, Davina Hensman Moss 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. Collaborative work is also indicated in this thesis. Signature: Date: 2 Abstract Neurodegenerative diseases including Huntington’s disease (HD), the spinocerebellar ataxias and C9orf72 associated Amyotrophic Lateral Sclerosis / Frontotemporal dementia (ALS/FTD) do not present and progress in the same way in all patients. Instead there is phenotypic variability in age at onset, progression and symptoms. Understanding this variability is not only clinically valuable, but identification of the genetic factors underpinning this variability has the potential to highlight genes and pathways which may be amenable to therapeutic manipulation, hence help find drugs for these devastating and currently incurable diseases. Identification of genetic modifiers of neurodegenerative diseases is the overarching aim of this thesis. To identify genetic variants which modify disease progression it is first necessary to have a detailed characterization of the disease and its trajectory over time. In this thesis clinical data from the TRACK-HD studies, for which I collected data as a clinical fellow, was used to study disease progression over time in HD, and give subjects a progression score for subsequent analysis. In this thesis I show blood transcriptomic signatures of HD status and stage which parallel HD brain and overlap with Alzheimer’s disease brain. Using the Huntington’s disease progression score in a genome wide association study, both a locus on chromosome 5 tagging MSH3, and DNA handling pathways more broadly, are shown to modify HD progression: these results are explored. Transcriptomic signatures associated with HD progression rate are also investigated. In this thesis I show that DNA repair variants also modify age at onset in spinocerebellar ataxias (1, 2, 3, 6, 7 and 17), which are, like HD, caused by triplet repeat expansions, suggesting a common mechanism. Extending this thesis’ examination of the relationship between phenotype and genotype I show that the C9orf72 expansion, normally associated with ALS/FTD, is also the commonest cause of HD phenocopy presentations. 3 Impact Statement The work presented in this thesis has been disseminated and had an impact both within and beyond academia. Foremost among the positive impacts of this work has been the identification of MSH3 as a modifier of disease progression in Huntington’s disease, and, by extension of work presented in this thesis is likely to be a modifier of other polyglutamine repeat disorders. As a result of my work, ongoing study has been taking place about the likely mechanism of this modifier effect. It is likely that small molecule inhibitors of MSH3 may have the potential to slow progression of HD in patients, and as a consequence several pharmaceutical companies are working on this potential therapeutic avenue. The following key papers have been published in scholarly journals based on material covered in this thesis, along with various other papers in which I had a smaller role or that were beyond the scope of this thesis (listed in Appendix 2). The relevant thesis chapter is given, and the number of papers citing each paper (on 25/03/2019) is given in parenthesis. 1. Chapter 3. Hensman Moss DJ*, Pardiñas AF*, et al. Identification of genetic variants associated with Huntington’s disease progression: a genome-wide association study. The Lancet Neurology. 2017. 16(9) 701-711. *Co-first author. (43) 2. Chapter 4. Bettencourt C*, Hensman Moss D*, Flower M*, Wiethoff S* et al. DNA repair pathways underlie a common genetic mechanism modulating onset in polyglutamine diseases. Ann Neurol. 2016 Jun;79(6):983-90. doi: 10.1002/ana.24656. *Co-first author. (51) 3. Chapter 6. Hensman Moss DJ et al. C9orf72 expansions are the most common genetic cause of Huntington disease phenocopies. Neurology. 2014 Jan 28;82(4):292-9. (140) 4. Chapter 6. Beck J*, Poulter M*, Hensman D et al. Large C9orf72 Hexanucleotide Repeat Expansions Are Seen in Multiple Neurodegenerative Syndromes and Are More Frequent Than Expected in the UK Population. Am J Hum Genet. 2013 Mar 7;92(3):345-53. (221) 5. Chapter 7. Hensman Moss DJ et al. Huntington’s disease blood and brain show a common gene expression pattern and share an immune signature with Alzheimer’s disease. Nature Scientific Reports. 2017. 7, 44849. (5) I have presented work from this thesis at various international meetings and conferences, and it has attracted the following prizes: 4 1. The Alzheimers Research UK Jean Corsan Prize which is awarded each year for the best scientific paper in neurodegeneration published by a PhD or MD/PhD student, London, March 2018. 2. Huntington Study Group ‘Insight of the Year’ award for most influential paper in Huntington’s disease in 2017. HSG Meeting, Denver, USA, November 2017. 3. Neuromics Consortium Prize for best poster presentation at the Neuromics Meeting, Berlin, May 2017. 4. European Huntington’s Disease Network Prize for best presentation at the EHDN Meeting, The Hague, September 2016. I have also taken part in several activities to disseminate my work to a broader audience, including being interviewed for profile pieces in Lancet Neurology (https://doi.org/10.1016/S1474-4422(18)30329-6) and ARUK’s Demenia blog https://www.dementiablog.org/scientist-focus-davina-hensman-moss/) along with news features on the St George’s Hospital and UCL websites and talks to patient groups. 5 Acknowledgements Firstly, I would like to thank the participants and those who support them who generously gave their time to be part of the research projects upon which this PhD Thesis is based, in particular those people who took part in the TRACK-HD and TrackOn-HD studies which were so critical to my work. I would like to thank my supervisor Prof. Sarah Tabrizi for her unending support and guidance, in the clinic, in the lab and beyond. It has been a pleasure to work for such an inspirational role model. I would like to thank Prof. Lesley Jones, my secondary supervisor at Cardiff University for her wisdom, council and sound guidance, particularly for the genetics aspects of my work. I would give thanks to the following: Prof. Simon Mead for the training in genetics, supervising the C9orf72 aspects of this thesis, and for ongoing advice; Prof. Douglas Langbehn for the extensive statistical input to my projects; Prof. Peter Holmans for his clear vision, and for statistical genetics input to my projects; Dr Antonio Pardiñas interesting discussions, and a huge amount of help with data analysis. The discussions between Sarah Tabrizi, Lesley Jones, Douglas Langbehn, Peter Holmans and myself about the nature of progression in Huntington’s disease and how best to examine it were an inspiration, and formed a valuable bedrock for the subsequent work in this thesis. My PhD has been highly collaborative and it has been a pleasure and a privilege to work with many brilliant collaborators during the course of these projects. I would like in particular to thank the following, in no particular order, for their invaluable input in various aspects of my work: Dr Kitty Lo, Dr Vincent Plagnol, Prof. Henry Houlden, Dr Conceicao Bettencourt, Dr Sarah Weithoff, Dr Michael Flower, Dr Willeke van Roon-Mom, Prof. Alexandra Durr, Dr Edward Wild, Dr Rob Goold, Dr Ralph Andre, Dr Alison Wood-Kaczmar, Dr Timothy Stone, Prof. Darren Monckton, Mark Poulter, Jon Beck, Gary Adamson, Tracy Campbell, Ruth Farmer, Dr Rachael Scahill, Dr Marina Papoutsi, Dr Peter McColgan, Nicci Robertson and all the members of the HD Research Centre. I would also like to thank CHDI for its funding of TRACK-HD, TrackOn-HD and particularly for funding me as Clinical Fellow for TrackOn-HD; the European Commission for funding Neuromics and through that much of the genetic analysis; and the Guarantors of Brain who funded me through an exit fellowship and travel bursaries. Finally I would like to thank my parents Barbara and Nigel Hensman who encouraged my curiosity and always had faith in me; my husband George Moss for his unfailing love, support and understanding, and my children Arthur, Freddie and Louisa who arrived during the course of this PhD and have made my world a richer place. 6 Table of Contents Abstract ........................................................................................................................................ 3 Impact Statement ........................................................................................................................ 4 Acknowledgements...................................................................................................................... 6 Table of Contents ......................................................................................................................... 7 List of Figures ............................................................................................................................. 13 List of Tables .............................................................................................................................
Recommended publications
  • Supplementary Data
    Figure 2S 4 7 A - C 080125 CSCs 080418 CSCs - + IFN-a 48 h + IFN-a 48 h + IFN-a 72 h 6 + IFN-a 72 h 3 5 MRFI 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 7 B 13 080125 FBS - D 080418 FBS - + IFN-a 48 h 12 + IFN-a 48 h + IFN-a 72 h + IFN-a 72 h 6 080125 FBS 11 10 5 9 8 4 7 6 3 MRFI 5 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 Molecule Molecule FIGURE 4S FIGURE 5S Panel A Panel B FIGURE 6S A B C D Supplemental Results Table 1S. Modulation by IFN-α of APM in GBM CSC and FBS tumor cell lines. Molecule * Cell line IFN-α‡ HLA β2-m# HLA LMP TAP1 TAP2 class II A A HC§ 2 7 10 080125 CSCs - 1∞ (1) 3 (65) 2 (91) 1 (2) 6 (47) 2 (61) 1 (3) 1 (2) 1 (3) + 2 (81) 11 (80) 13 (99) 1 (3) 8 (88) 4 (91) 1 (2) 1 (3) 2 (68) 080125 FBS - 2 (81) 4 (63) 4 (83) 1 (3) 6 (80) 3 (67) 2 (86) 1 (3) 2 (75) + 2 (99) 14 (90) 7 (97) 5 (75) 7 (100) 6 (98) 2 (90) 1 (4) 3 (87) 080418 CSCs - 2 (51) 1 (1) 1 (3) 2 (47) 2 (83) 2 (54) 1 (4) 1 (2) 1 (3) + 2 (81) 3 (76) 5 (75) 2 (50) 2 (83) 3 (71) 1 (3) 2 (87) 1 (2) 080418 FBS - 1 (3) 3 (70) 2 (88) 1 (4) 3 (87) 2 (76) 1 (3) 1 (3) 1 (2) + 2 (78) 7 (98) 5 (99) 2 (94) 5 (100) 3 (100) 1 (4) 2 (100) 1 (2) 070104 CSCs - 1 (2) 1 (3) 1 (3) 2 (78) 1 (3) 1 (2) 1 (3) 1 (3) 1 (2) + 2 (98) 8 (100) 10 (88) 4 (89) 3 (98) 3 (94) 1 (4) 2 (86) 2 (79) * expression of APM molecules was evaluated by intracellular staining and cytofluorimetric analysis; ‡ cells were treatead or not (+/-) for 72 h with 1000 IU/ml of IFN-α; # β-2 microglobulin; § β-2 microglobulin-free HLA-A heavy chain; ∞ values are indicated as ratio between the mean of fluorescence intensity of cells stained with the selected mAb and that of the negative control; bold values indicate significant MRFI (≥ 2).
    [Show full text]
  • Snapshot: Formins Christian Baarlink, Dominique Brandt, and Robert Grosse University of Marburg, Marburg 35032, Germany
    SnapShot: Formins Christian Baarlink, Dominique Brandt, and Robert Grosse University of Marburg, Marburg 35032, Germany Formin Regulators Localization Cellular Function Disease Association DIAPH1/DIA1 RhoA, RhoC Cell cortex, Polarized cell migration, microtubule stabilization, Autosomal-dominant nonsyndromic deafness (DFNA1), myeloproliferative (mDia1) phagocytic cup, phagocytosis, axon elongation defects, defects in T lymphocyte traffi cking and proliferation, tumor cell mitotic spindle invasion, defects in natural killer lymphocyte function DIAPH2 Cdc42 Kinetochore Stable microtubule attachment to kinetochore for Premature ovarian failure (mDia3) chromosome alignment DIAPH3 Rif, Cdc42, Filopodia, Filopodia formation, removing the nucleus from Increased chromosomal deletion of gene locus in metastatic tumors (mDia2) Rac, RhoB, endosomes erythroblast, endosome motility, microtubule DIP* stabilization FMNL1 (FRLα) Cdc42 Cell cortex, Phagocytosis, T cell polarity Overexpression is linked to leukemia and non-Hodgkin lymphoma microtubule- organizing center FMNL2/FRL3/ RhoC ND Cell motility Upregulated in metastatic colorectal cancer, chromosomal deletion is FHOD2 associated with mental retardation FMNL3/FRL2 Constituently Stress fi bers ND ND active DAAM1 Dishevelled Cell cortex Planar cell polarity ND DAAM2 ND ND ND Overexpressed in schizophrenia patients Human (Mouse) FHOD1 ROCK Stress fi bers Cell motility FHOD3 ND Nestin, sarcomere Organizing sarcomeres in striated muscle cells Single-nucleotide polymorphisms associated with type 1 diabetes
    [Show full text]
  • Identification of a WNT5A-Responsive Degradation Domain in the Kinesin
    G C A T T A C G G C A T genes Article Identification of a WNT5A-Responsive Degradation Domain in the Kinesin Superfamily Protein KIF26B Edith P. Karuna ID , Shannon S. Choi, Michael K. Scales, Jennie Hum, Michael Cohen, Fernando A. Fierro and Hsin-Yi Henry Ho * ID Department of Cell Biology and Human Anatomy, School of Medicine, University of California, Davis, CA 95616, USA; [email protected] (E.P.K.); [email protected] (S.S.C.); [email protected] (M.K.S.); [email protected] (J.H.); [email protected] (M.C.); ffi[email protected] (F.A.F.) * Correspondence: [email protected]; Tel.: +1-530-752-8857 Received: 19 February 2018; Accepted: 26 March 2018; Published: 5 April 2018 Abstract: Noncanonical WNT pathways function independently of the β-catenin transcriptional co-activator to regulate diverse morphogenetic and pathogenic processes. Recent studies showed that noncanonical WNTs, such as WNT5A, can signal the degradation of several downstream effectors, thereby modulating these effectors’ cellular activities. The protein domain(s) that mediates the WNT5A-dependent degradation response, however, has not been identified. By coupling protein mutagenesis experiments with a flow cytometry-based degradation reporter assay, we have defined a protein domain in the kinesin superfamily protein KIF26B that is essential for WNT5A-dependent degradation. We found that a human disease-causing KIF26B mutation located at a conserved amino acid within this domain compromises the ability of WNT5A to induce KIF26B degradation. Using pharmacological perturbation, we further uncovered a role of glycogen synthase kinase 3 (GSK3) in WNT5A regulation of KIF26B degradation.
    [Show full text]
  • “A Very Stinking Herbe” Is Cilantro Love/Hate a Genetic Trait? So Fresh Or So Clean? Methods Results and Discussion Referenc
    A Genetic Variant Near Olfactory Receptor Genes Associates With Cilantro Preference S. Wu, J.Y. Tung, A.B. Chowdry, A.K. Kiefer, J.L. Mountain, N. Eriksson 23andMe, Inc., Mountain View, CA “A very stinking herbe”! Many people love the taste of fresh cilantro (Coriandrum sativum, also called coriander), while Oh, coriander.! others despise it with every fiber of their being. The debate has raged for centuries. Pliny extolled If "pure evil# had a taste?! its “refreshing” properties, a medieval herbalist claimed that the leaves had a “venomous quality,” It would taste like you.! by SilverSpoon at and, more recently, beloved culinary icon Julia Child opined that cilantro had “kind of a dead taste” IHateCilantro.com! and that she would “pick it out if [she] saw it and throw it on the floor.”! So fresh or so clean?! Is cilantro love/hate a genetic trait?! Cilantro"s dual nature may lie in its key aroma components, which consist of It is not known why cilantro is so differentially perceived. Cilantro various aldehydes. The unsaturated aldehydes (mostly decanal and preference varies with ancestry and may be influenced by dodecanal) are described as fruity, green, and pungent; the (E)-2-alkenals exposure. Genetic factors are also thought to play a role but to as soapy, fatty, pungent, and “like cilantro.” Of the many descriptors that date no studies have found genetic variants influencing cilantro “haters” use, soapy is the most common.! taste preference. ! Methods! Results and discussion! We conducted the first-ever genome-wide association study of cilantro preference. Participants were drawn from the more than 180,000 genotyped customers of 23andMe, Inc., a consumer genetics company.! Phenotype data collection! Participants reported their age and answered Figure 1.
    [Show full text]
  • Genetic Variation Across the Human Olfactory Receptor Repertoire Alters Odor Perception
    bioRxiv preprint doi: https://doi.org/10.1101/212431; this version posted November 1, 2017. 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 4.0 International license. Genetic variation across the human olfactory receptor repertoire alters odor perception Casey Trimmer1,*, Andreas Keller2, Nicolle R. Murphy1, Lindsey L. Snyder1, Jason R. Willer3, Maira Nagai4,5, Nicholas Katsanis3, Leslie B. Vosshall2,6,7, Hiroaki Matsunami4,8, and Joel D. Mainland1,9 1Monell Chemical Senses Center, Philadelphia, Pennsylvania, USA 2Laboratory of Neurogenetics and Behavior, The Rockefeller University, New York, New York, USA 3Center for Human Disease Modeling, Duke University Medical Center, Durham, North Carolina, USA 4Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, USA 5Department of Biochemistry, University of Sao Paulo, Sao Paulo, Brazil 6Howard Hughes Medical Institute, New York, New York, USA 7Kavli Neural Systems Institute, New York, New York, USA 8Department of Neurobiology and Duke Institute for Brain Sciences, Duke University Medical Center, Durham, North Carolina, USA 9Department of Neuroscience, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA *[email protected] ABSTRACT The human olfactory receptor repertoire is characterized by an abundance of genetic variation that affects receptor response, but the perceptual effects of this variation are unclear. To address this issue, we sequenced the OR repertoire in 332 individuals and examined the relationship between genetic variation and 276 olfactory phenotypes, including the perceived intensity and pleasantness of 68 odorants at two concentrations, detection thresholds of three odorants, and general olfactory acuity.
    [Show full text]
  • The Genomic Structure and Expression of MJD, the Machado-Joseph Disease Gene
    J Hum Genet (2001) 46:413–422 © Jpn Soc Hum Genet and Springer-Verlag 2001 ORIGINAL ARTICLE Yaeko Ichikawa · Jun Goto · Masahira Hattori Atsushi Toyoda · Kazuo Ishii · Seon-Yong Jeong Hideji Hashida · Naoki Masuda · Katsuhisa Ogata Fumio Kasai · Momoki Hirai · Patrícia Maciel Guy A. Rouleau · Yoshiyuki Sakaki · Ichiro Kanazawa The genomic structure and expression of MJD, the Machado-Joseph disease gene Received: March 7, 2001 / Accepted: April 17, 2001 Abstract Machado-Joseph disease (MJD) is an autosomal relative to the MJD gene in B445M7 indicate that there are dominant neurodegenerative disorder that is clinically char- three alternative splicing sites and eight polyadenylation acterized by cerebellar ataxia and various associated symp- signals in MJD that are used to generate the differently toms. The disease is caused by an unstable expansion of the sized transcripts. CAG repeat in the MJD gene. This gene is mapped to chromosome 14q32.1. To determine its genomic structure, Key words Machado-Joseph disease (MJD) · 14q32.1 · we constructed a contig composed of six cosmid clones and CAG repeat · Genome structure · Alternative splicing · eight bacterial artificial chromosome (BAC) clones. It spans mRNA expression approximately 300kb and includes MJD. We also deter- mined the complete sequence (175,330bp) of B445M7, a human BAC clone that contains MJD. The MJD gene was found to span 48,240bp and to contain 11 exons. Northern Introduction blot analysis showed that MJD mRNA is ubiquitously expressed in human tissues, and in at least four different Machado-Joseph disease (MJD) is an autosomal dominant sizes; namely, 1.4, 1.8, 4.5, and 7.5kb.
    [Show full text]
  • UNIVERSITY of CALIFORNIA, SAN DIEGO Functional Analysis of Sall4
    UNIVERSITY OF CALIFORNIA, SAN DIEGO Functional analysis of Sall4 in modulating embryonic stem cell fate A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Molecular Pathology by Pei Jen A. Lee Committee in charge: Professor Steven Briggs, Chair Professor Geoff Rosenfeld, Co-Chair Professor Alexander Hoffmann Professor Randall Johnson Professor Mark Mercola 2009 Copyright Pei Jen A. Lee, 2009 All rights reserved. The dissertation of Pei Jen A. Lee is approved, and it is acceptable in quality and form for publication on microfilm and electronically: ______________________________________________________________ ______________________________________________________________ ______________________________________________________________ ______________________________________________________________ Co-Chair ______________________________________________________________ Chair University of California, San Diego 2009 iii Dedicated to my parents, my brother ,and my husband for their love and support iv Table of Contents Signature Page……………………………………………………………………….…iii Dedication…...…………………………………………………………………………..iv Table of Contents……………………………………………………………………….v List of Figures…………………………………………………………………………...vi List of Tables………………………………………………….………………………...ix Curriculum vitae…………………………………………………………………………x Acknowledgement………………………………………………….……….……..…...xi Abstract………………………………………………………………..…………….....xiii Chapter 1 Introduction ..…………………………………………………………………………….1 Chapter 2 Materials and Methods……………………………………………………………..…12
    [Show full text]
  • Complete Article
    The EMBO Journal Vol. I No. 12 pp. 1539-1544, 1982 Long terminal repeat-like elements flank a human immunoglobulin epsilon pseudogene that lacks introns Shintaro Ueda', Sumiko Nakai, Yasuyoshi Nishida, lack the entire IVS have been found in the gene families of the Hiroshi Hisajima, and Tasuku Honjo* mouse a-globin (Nishioka et al., 1980; Vanin et al., 1980), the lambda chain (Hollis et al., 1982), Department of Genetics, Osaka University Medical School, Osaka 530, human immunoglobulin Japan and the human ,B-tubulin (Wilde et al., 1982a, 1982b). The mouse a-globin processed gene is flanked by long terminal Communicated by K.Rajewsky Received on 30 September 1982 repeats (LTRs) of retrovirus-like intracisternal A particles on both sides, although their orientation is opposite to each There are at least three immunoglobulin epsilon genes (C,1, other (Lueders et al., 1982). The human processed genes CE2, and CE) in the human genome. The nucleotide sequences described above have poly(A)-like tails -20 bases 3' to the of the expressed epsilon gene (CE,) and one (CE) of the two putative poly(A) addition signal and are flanked by direct epsilon pseudogenes were compared. The results show that repeats of several bases on both sides (Hollis et al., 1982; the CE3 gene lacks the three intervening sequences entirely and Wilde et al., 1982a, 1982b). Such direct repeats, which were has a 31-base A-rich sequence 16 bases 3' to the putative also found in human small nuclear RNA pseudogenes poly(A) addition signal, indicating that the CE3 gene is a pro- (Arsdell et al., 1981), might have been formed by repair of cessed gene.
    [Show full text]
  • A Global Transcriptional Network Connecting Noncoding Mutations to Changes in Tumor Gene Expression
    HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Nat Genet Manuscript Author . Author manuscript; Manuscript Author available in PMC 2018 October 02. Published in final edited form as: Nat Genet. 2018 April ; 50(4): 613–620. doi:10.1038/s41588-018-0091-2. A global transcriptional network connecting noncoding mutations to changes in tumor gene expression Wei Zhang1,†,*, Ana Bojorquez-Gomez1,†, Daniel Ortiz Velez2, Guorong Xu3, Kyle S. Sanchez1, John Paul Shen1, Kevin Chen2, Katherine Licon1, Collin Melton4, Katrina M. Olson1,5, Michael Ku Yu1, Justin K. Huang1,6, Hannah Carter1, Emma K. Farley1,5, Michael Snyder4, Stephanie I. Fraley2, Jason F. Kreisberg1,*, and Trey Ideker1,2,6,* 1Department of Medicine, University of California, San Diego, La Jolla, California, USA 2Department of Bioengineering, University of California San Diego, La Jolla, CA, USA 3Center for Computational Biology and Bioinformatics, University of California, San Diego, La Jolla, California, USA 4Department of Genetics, Stanford University School of Medicine, Stanford, California, USA 5Division of Biological Sciences, University of California San Diego, La Jolla, CA, USA 6Bioinformatics and Systems Biology Program, UC San Diego, La Jolla, California, USA Abstract Although cancer genomes are replete with noncoding mutations, the effects of these mutations remain poorly characterized. Here we perform an integrative analysis of 930 tumor whole genomes and matched transcriptomes, identifying a network of 193 noncoding loci in which mutations disrupt target gene expression. These “somatic eQTLs” (expression Quantitative Trait Loci) are frequently mutated in specific cancer tissues, and the majority can be validated in an independent cohort of 3,382 tumors. Among these, we find that the effects of noncoding mutations on DAAM1, MTG2 and HYI transcription are recapitulated in multiple cancer cell lines, and that increasing DAAM1 expression leads to invasive cell migration.
    [Show full text]
  • Abnormal Developmental Control of Replication-Timing Domains in Pediatric Acute Lymphoblastic Leukemia
    Downloaded from genome.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Research Abnormal developmental control of replication-timing domains in pediatric acute lymphoblastic leukemia Tyrone Ryba,1,6 Dana Battaglia,1,6 Bill H. Chang,2 James W. Shirley,1 Quinton Buckley,1 Benjamin D. Pope,1 Meenakshi Devidas,3 Brian J. Druker,4,5 and David M. Gilbert1,7 1Department of Biological Science, Florida State University, Tallahassee, Florida 32306, USA; 2Division of Hematology and Oncology, Department of Pediatrics, and OHSU Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon 97239, USA; 3COG and Department of Biostatistics, College of Medicine, University of Florida, Gainesville, Florida 32601, USA; 4Division of Hematology and Medical Oncology, and OHSU Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon 97239, USA; 5Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA Abnormal replication timing has been observed in cancer but no study has comprehensively evaluated this misregulation. We generated genome-wide replication-timing profiles for pediatric leukemias from 17 patients and three cell lines, as well as normal B and T cells. Nonleukemic EBV-transformed lymphoblastoid cell lines displayed highly stable replication- timing profiles that were more similar to normal T cells than to leukemias. Leukemias were more similar to each other than to B and T cells but were considerably more heterogeneous than nonleukemic controls. Some differences were patient specific, while others were found in all leukemic samples, potentially representing early epigenetic events. Differences encompassed large segments of chromosomes and included genes implicated in other types of cancer. Remarkably, dif- ferences that distinguished leukemias aligned in register to the boundaries of developmentally regulated replication- timing domains that distinguish normal cell types.
    [Show full text]
  • Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights Into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle
    animals Article Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle Masoumeh Naserkheil 1 , Abolfazl Bahrami 1 , Deukhwan Lee 2,* and Hossein Mehrban 3 1 Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj 77871-31587, Iran; [email protected] (M.N.); [email protected] (A.B.) 2 Department of Animal Life and Environment Sciences, Hankyong National University, Jungang-ro 327, Anseong-si, Gyeonggi-do 17579, Korea 3 Department of Animal Science, Shahrekord University, Shahrekord 88186-34141, Iran; [email protected] * Correspondence: [email protected]; Tel.: +82-31-670-5091 Received: 25 August 2020; Accepted: 6 October 2020; Published: 9 October 2020 Simple Summary: Hanwoo is an indigenous cattle breed in Korea and popular for meat production owing to its rapid growth and high-quality meat. Its yearling weight and carcass traits (backfat thickness, carcass weight, eye muscle area, and marbling score) are economically important for the selection of young and proven bulls. In recent decades, the advent of high throughput genotyping technologies has made it possible to perform genome-wide association studies (GWAS) for the detection of genomic regions associated with traits of economic interest in different species. In this study, we conducted a weighted single-step genome-wide association study which combines all genotypes, phenotypes and pedigree data in one step (ssGBLUP). It allows for the use of all SNPs simultaneously along with all phenotypes from genotyped and ungenotyped animals. Our results revealed 33 relevant genomic regions related to the traits of interest.
    [Show full text]
  • Dottorando: Dr.Ssa Valentina TINAGLIA
    Università degli Studi di Milano Scuola di Dottorato in Medicina Molecolare Dipartimento di Scienze e Tecnologie Biomediche Curriculum di Genomica, Proteomica e Tecnologie Correlate Ciclo XXIV Settore Disciplinare: BIO-10 Anno Accademico 2010/2011 Dottorando: Dr.ssa Valentina TINAGLIA Matricola: R08079 INTEGRATED GENOMICS ANALYSIS OF GENE AND MICRORNA EXPRESSION PROFILES IN CLEAR CELL RENAL CARCINOMA CELL LINES Direttore della Scuola: Ch.mo Prof. Mario Clerici Tutore: Prof.ssa Cristina Battaglia Un grazie speciale a Mamma, Papà ed Enzo per la loro infinita pazienza e il loro amore. CONTENTS SOMMARIO .................................................................................................................................... V ABSTRACT .................................................................................................................................. VII 1 INTRODUCTION ...................................................................................................................... 1 1.1 Renal Cell Carcinoma ...................................................................................................... 1 1.1.1 Epidemiology ........................................................................................................... 1 1.1.2 Clinical features ....................................................................................................... 1 1.1.3 Clinical cytogenetic and molecular characteristics of renal tumors .................... 3 1.1.3.1 Familial renal cell carcinoma .............................................................................................
    [Show full text]