The SCP4-STK35/PDIK1L Complex Is a Dual Phospho-Catalytic Signaling
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Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Epigenetic Alterations of Chromosome 3 Revealed by Noti-Microarrays in Clear Cell Renal Cell Carcinoma
Hindawi Publishing Corporation BioMed Research International Volume 2014, Article ID 735292, 9 pages http://dx.doi.org/10.1155/2014/735292 Research Article Epigenetic Alterations of Chromosome 3 Revealed by NotI-Microarrays in Clear Cell Renal Cell Carcinoma Alexey A. Dmitriev,1,2 Evgeniya E. Rudenko,3 Anna V. Kudryavtseva,1,2 George S. Krasnov,1,4 Vasily V. Gordiyuk,3 Nataliya V. Melnikova,1 Eduard O. Stakhovsky,5 Oleksii A. Kononenko,5 Larissa S. Pavlova,6 Tatiana T. Kondratieva,6 Boris Y. Alekseev,2 Eleonora A. Braga,7,8 Vera N. Senchenko,1 and Vladimir I. Kashuba3,9 1 Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia 2 P.A. Herzen Moscow Oncology Research Institute, Ministry of Healthcare of the Russian Federation, Moscow 125284, Russia 3 Institute of Molecular Biology and Genetics, Ukrainian Academy of Sciences, Kiev 03680, Ukraine 4 Mechnikov Research Institute for Vaccines and Sera, Russian Academy of Medical Sciences, Moscow 105064, Russia 5 National Cancer Institute, Kiev 03022, Ukraine 6 N.N. Blokhin Russian Cancer Research Center, Russian Academy of Medical Sciences, Moscow 115478, Russia 7 Institute of General Pathology and Pathophysiology, Russian Academy of Medical Sciences, Moscow 125315, Russia 8 Research Center of Medical Genetics, Russian Academy of Medical Sciences, Moscow 115478, Russia 9 DepartmentofMicrobiology,TumorandCellBiology,KarolinskaInstitute,17177Stockholm,Sweden Correspondence should be addressed to Alexey A. Dmitriev; alex [email protected] Received 19 February 2014; Revised 10 April 2014; Accepted 17 April 2014; Published 22 May 2014 Academic Editor: Carole Sourbier Copyright © 2014 Alexey A. Dmitriev et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Molecular Mechanisms of Ribosomal Protein Gene Coregulation
Downloaded from genesdev.cshlp.org on October 3, 2021 - Published by Cold Spring Harbor Laboratory Press Molecular mechanisms of ribosomal protein gene coregulation Rohit Reja, Vinesh Vinayachandran, Sujana Ghosh, and B. Franklin Pugh Center for Eukaryotic Gene Regulation, Pennsylvania State University, University Park, Pennsylvania 16802, USA The 137 ribosomal protein genes (RPGs) of Saccharomyces provide a model for gene coregulation. We examined the positional and functional organization of their regulators (Rap1 [repressor activator protein 1], Fhl1, Ifh1, Sfp1, and Hmo1), the transcription machinery (TFIIB, TFIID, and RNA polymerase II), and chromatin at near-base-pair res- olution using ChIP-exo, as RPGs are coordinately reprogrammed. Where Hmo1 is enriched, Fhl1, Ifh1, Sfp1, and Hmo1 cross-linked broadly to promoter DNA in an RPG-specific manner and demarcated by general minor groove widening. Importantly, Hmo1 extended 20–50 base pairs (bp) downstream from Fhl1. Upon RPG repression, Fhl1 remained in place. Hmo1 dissociated, which was coupled to an upstream shift of the +1 nucleosome, as reflected by the Hmo1 extension and core promoter region. Fhl1 and Hmo1 may create two regulatable and positionally distinct barriers, against which chromatin remodelers position the +1 nucleosome into either an activating or a repressive state. Consistent with in vitro studies, we found that specific TFIID subunits, in addition to cross-linking at the core promoter, made precise cross-links at Rap1 sites, which we interpret to reflect native Rap1–TFIID interactions. Our findings suggest how sequence-specific DNA binding regulates nucleosome positioning and transcription complex assembly >300 bp away and how coregulation coevolved with coding sequences. -
Novel Candidate Genes of Thyroid Tumourigenesis Identified in Trk-T1 Transgenic Mice
Endocrine-Related Cancer (2012) 19 409–421 Novel candidate genes of thyroid tumourigenesis identified in Trk-T1 transgenic mice Katrin-Janine Heiliger*, Julia Hess*, Donata Vitagliano1, Paolo Salerno1, Herbert Braselmann, Giuliana Salvatore 2, Clara Ugolini 3, Isolde Summerer 4, Tatjana Bogdanova5, Kristian Unger 6, Gerry Thomas6, Massimo Santoro1 and Horst Zitzelsberger Research Unit of Radiation Cytogenetics, Helmholtz Zentrum Mu¨nchen, Ingolsta¨dter Landstr. 1, 85764 Neuherberg, Germany 1Istituto di Endocrinologia ed Oncologia Sperimentale del CNR, c/o Dipartimento di Biologia e Patologia Cellulare e Molecolare, Universita` Federico II, Naples 80131, Italy 2Dipartimento di Studi delle Istituzioni e dei Sistemi Territoriali, Universita` ‘Parthenope’, Naples 80133, Italy 3Division of Pathology, Department of Surgery, University of Pisa, 56100 Pisa, Italy 4Institute of Radiation Biology, Helmholtz Zentrum Mu¨nchen, 85764 Neuherberg, Germany 5Institute of Endocrinology and Metabolism, Academy of Medical Sciences of the Ukraine, 254114 Kiev, Ukraine 6Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London W12 0HS, UK (Correspondence should be addressed to H Zitzelsberger; Email: [email protected]) *(K-J Heiliger and J Hess contributed equally to this work) Abstract For an identification of novel candidate genes in thyroid tumourigenesis, we have investigated gene copy number changes in a Trk-T1 transgenic mouse model of thyroid neoplasia. For this aim, 30 thyroid tumours from Trk-T1 transgenics were investigated by comparative genomic hybridisation. Recurrent gene copy number alterations were identified and genes located in the altered chromosomal regions were analysed by Gene Ontology term enrichment analysis in order to reveal gene functions potentially associated with thyroid tumourigenesis. In thyroid neoplasms from Trk-T1 mice, a recurrent gain on chromosomal bands 1C4–E2.3 (10.0% of cases), and losses on 3H1–H3 (13.3%), 4D2.3–E2 (43.3%) and 14E4–E5 (6.7%) were identified. -
The Role of Non-Coding Rnas in Uveal Melanoma
cancers Review The Role of Non-Coding RNAs in Uveal Melanoma Manuel Bande 1,2,*, Daniel Fernandez-Diaz 1,2, Beatriz Fernandez-Marta 1, Cristina Rodriguez-Vidal 3, Nerea Lago-Baameiro 4, Paula Silva-Rodríguez 2,5, Laura Paniagua 6, María José Blanco-Teijeiro 1,2, María Pardo 2,4 and Antonio Piñeiro 1,2 1 Department of Ophthalmology, University Hospital of Santiago de Compostela, Ramon Baltar S/N, 15706 Santiago de Compostela, Spain; [email protected] (D.F.-D.); [email protected] (B.F.-M.); [email protected] (M.J.B.-T.); [email protected] (A.P.) 2 Tumores Intraoculares en el Adulto, Instituto de Investigación Sanitaria de Santiago (IDIS), 15706 Santiago de Compostela, Spain; [email protected] (P.S.-R.); [email protected] (M.P.) 3 Department of Ophthalmology, University Hospital of Cruces, Cruces Plaza, S/N, 48903 Barakaldo, Vizcaya, Spain; [email protected] 4 Grupo Obesidómica, Instituto de Investigación Sanitaria de Santiago (IDIS), 15706 Santiago de Compostela, Spain; [email protected] 5 Fundación Pública Galega de Medicina Xenómica, Clinical University Hospital, SERGAS, 15706 Santiago de Compostela, Spain 6 Department of Ophthalmology, University Hospital of Coruña, Praza Parrote, S/N, 15006 La Coruña, Spain; [email protected] * Correspondence: [email protected]; Tel.: +34-981951756; Fax: +34-981956189 Received: 13 September 2020; Accepted: 9 October 2020; Published: 12 October 2020 Simple Summary: The development of uveal melanoma is a multifactorial and multi-step process, in which abnormal gene expression plays a key role. -
Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways
biomolecules Article Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways Aayushi Srivastava 1,2,3,4 , Abhishek Kumar 1,5,6 , Sara Giangiobbe 1, Elena Bonora 7, Kari Hemminki 1, Asta Försti 1,2,3 and Obul Reddy Bandapalli 1,2,3,* 1 Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany; [email protected] (A.S.); [email protected] (A.K.); [email protected] (S.G.); [email protected] (K.H.); [email protected] (A.F.) 2 Hopp Children’s Cancer Center (KiTZ), D-69120 Heidelberg, Germany 3 Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), D-69120 Heidelberg, Germany 4 Medical Faculty, Heidelberg University, D-69120 Heidelberg, Germany 5 Institute of Bioinformatics, International Technology Park, Bangalore 560066, India 6 Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India 7 S.Orsola-Malphigi Hospital, Unit of Medical Genetics, 40138 Bologna, Italy; [email protected] * Correspondence: [email protected]; Tel.: +49-6221-42-1709 Received: 29 August 2019; Accepted: 10 October 2019; Published: 13 October 2019 Abstract: Evidence of familial inheritance in non-medullary thyroid cancer (NMTC) has accumulated over the last few decades. However, known variants account for a very small percentage of the genetic burden. Here, we focused on the identification of common pathways and networks enriched in NMTC families to better understand its pathogenesis with the final aim of identifying one novel high/moderate-penetrance germline predisposition variant segregating with the disease in each studied family. -
TAF10 Complex Provides Evidence for Nuclear Holo&Ndash;TFIID Assembly from Preform
ARTICLE Received 13 Aug 2014 | Accepted 2 Dec 2014 | Published 14 Jan 2015 DOI: 10.1038/ncomms7011 OPEN Cytoplasmic TAF2–TAF8–TAF10 complex provides evidence for nuclear holo–TFIID assembly from preformed submodules Simon Trowitzsch1,2, Cristina Viola1,2, Elisabeth Scheer3, Sascha Conic3, Virginie Chavant4, Marjorie Fournier3, Gabor Papai5, Ima-Obong Ebong6, Christiane Schaffitzel1,2, Juan Zou7, Matthias Haffke1,2, Juri Rappsilber7,8, Carol V. Robinson6, Patrick Schultz5, Laszlo Tora3 & Imre Berger1,2,9 General transcription factor TFIID is a cornerstone of RNA polymerase II transcription initiation in eukaryotic cells. How human TFIID—a megadalton-sized multiprotein complex composed of the TATA-binding protein (TBP) and 13 TBP-associated factors (TAFs)— assembles into a functional transcription factor is poorly understood. Here we describe a heterotrimeric TFIID subcomplex consisting of the TAF2, TAF8 and TAF10 proteins, which assembles in the cytoplasm. Using native mass spectrometry, we define the interactions between the TAFs and uncover a central role for TAF8 in nucleating the complex. X-ray crystallography reveals a non-canonical arrangement of the TAF8–TAF10 histone fold domains. TAF2 binds to multiple motifs within the TAF8 C-terminal region, and these interactions dictate TAF2 incorporation into a core–TFIID complex that exists in the nucleus. Our results provide evidence for a stepwise assembly pathway of nuclear holo–TFIID, regulated by nuclear import of preformed cytoplasmic submodules. 1 European Molecular Biology Laboratory, Grenoble Outstation, 6 rue Jules Horowitz, 38042 Grenoble, France. 2 Unit for Virus Host-Cell Interactions, University Grenoble Alpes-EMBL-CNRS, 6 rue Jules Horowitz, 38042 Grenoble, France. 3 Cellular Signaling and Nuclear Dynamics Program, Institut de Ge´ne´tique et de Biologie Mole´culaire et Cellulaire, UMR 7104, INSERM U964, 1 rue Laurent Fries, 67404 Illkirch, France. -
Structure and Mechanism of the RNA Polymerase II Transcription Machinery
Downloaded from genesdev.cshlp.org on October 9, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW Structure and mechanism of the RNA polymerase II transcription machinery Allison C. Schier and Dylan J. Taatjes Department of Biochemistry, University of Colorado, Boulder, Colorado 80303, USA RNA polymerase II (Pol II) transcribes all protein-coding ingly high resolution, which has rapidly advanced under- genes and many noncoding RNAs in eukaryotic genomes. standing of the molecular basis of Pol II transcription. Although Pol II is a complex, 12-subunit enzyme, it lacks Structural biology continues to transform our under- the ability to initiate transcription and cannot consistent- standing of complex biological processes because it allows ly transcribe through long DNA sequences. To execute visualization of proteins and protein complexes at or near these essential functions, an array of proteins and protein atomic-level resolution. Combined with mutagenesis and complexes interact with Pol II to regulate its activity. In functional assays, structural data can at once establish this review, we detail the structure and mechanism of how enzymes function, justify genetic links to human dis- over a dozen factors that govern Pol II initiation (e.g., ease, and drive drug discovery. In the past few decades, TFIID, TFIIH, and Mediator), pausing, and elongation workhorse techniques such as NMR and X-ray crystallog- (e.g., DSIF, NELF, PAF, and P-TEFb). The structural basis raphy have been complemented by cryoEM, cross-linking for Pol II transcription regulation has advanced rapidly mass spectrometry (CXMS), and other methods. Recent in the past decade, largely due to technological innova- improvements in data collection and imaging technolo- tions in cryoelectron microscopy. -
Epigenomic Profiling Discovers Trans-Lineage SOX2 Partnerships Driving Tumor Heterogeneity in Lung Squamous Cell Carcinoma
Published OnlineFirst September 24, 2019; DOI: 10.1158/0008-5472.CAN-19-2132 Cancer Genome and Epigenome Research Epigenomic Profiling Discovers Trans-lineage SOX2 Partnerships Driving Tumor Heterogeneity in Lung Squamous Cell Carcinoma Takashi Sato1,2, Seungyeul Yoo3, Ranran Kong1,2,4, Abhilasha Sinha1,2, Prashanth Chandramani-Shivalingappa1, Ayushi Patel1,2, Maya Fridrikh1,2, Osamu Nagano5, Takashi Masuko6, Mary Beth Beasley7, Charles A. Powell1, Jun Zhu2,3,8, and Hideo Watanabe1,2,3 Abstract Molecular characterization of lung squamous Transcriptional programs cell carcinoma (LUSC), one of the major subtypes Super-enhancers Sox2 of lung cancer, has not sufficiently improved its p63 nonstratified treatment strategies over decades. Sox2 Sox2 p63 Accumulating evidence suggests that lineage- specific transcriptional regulators control differen- Genes involved in epithelial/ tiation states during cancer evolution and underlie p63 epidermal development Classical lineage their distinct biological behaviors. In this study, by Differential dependency Trans-lineage investigating the super-enhancer landscape of LUSC, we identified a previously undescribed Sox2 Brn2 fi "neural" subtype de ned by Sox2 and a neural Sox2 lineage factor Brn2, as well as the classical LUSC Lung squamous cell carcinoma Sox2 Brn2 fi subtype de ned by Sox2 and its classical squamous Neural lineage Brn2 Genes involved in neurogenesis partner p63. Robust protein–protein interaction and genomic cooccupancy of Sox2 and Brn2, in Transcriptional cooperation of Sox2 with p63 or Brn2 determines cancer lineage state in lung squamous cell carcinoma. place for p63 in the classical LUSC, indicated their © 2019 American Association for Cancer Research transcriptional cooperation imparting this unique lineage state in the "neural" LUSC. -
Research Article Epigenetic Alterations of Chromosome 3 Revealed by Noti-Microarrays in Clear Cell Renal Cell Carcinoma
Hindawi Publishing Corporation BioMed Research International Volume 2014, Article ID 735292, 9 pages http://dx.doi.org/10.1155/2014/735292 Research Article Epigenetic Alterations of Chromosome 3 Revealed by NotI-Microarrays in Clear Cell Renal Cell Carcinoma Alexey A. Dmitriev,1,2 Evgeniya E. Rudenko,3 Anna V. Kudryavtseva,1,2 George S. Krasnov,1,4 Vasily V. Gordiyuk,3 Nataliya V. Melnikova,1 Eduard O. Stakhovsky,5 Oleksii A. Kononenko,5 Larissa S. Pavlova,6 Tatiana T. Kondratieva,6 Boris Y. Alekseev,2 Eleonora A. Braga,7,8 Vera N. Senchenko,1 and Vladimir I. Kashuba3,9 1 Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia 2 P.A. Herzen Moscow Oncology Research Institute, Ministry of Healthcare of the Russian Federation, Moscow 125284, Russia 3 Institute of Molecular Biology and Genetics, Ukrainian Academy of Sciences, Kiev 03680, Ukraine 4 Mechnikov Research Institute for Vaccines and Sera, Russian Academy of Medical Sciences, Moscow 105064, Russia 5 National Cancer Institute, Kiev 03022, Ukraine 6 N.N. Blokhin Russian Cancer Research Center, Russian Academy of Medical Sciences, Moscow 115478, Russia 7 Institute of General Pathology and Pathophysiology, Russian Academy of Medical Sciences, Moscow 125315, Russia 8 Research Center of Medical Genetics, Russian Academy of Medical Sciences, Moscow 115478, Russia 9 DepartmentofMicrobiology,TumorandCellBiology,KarolinskaInstitute,17177Stockholm,Sweden Correspondence should be addressed to Alexey A. Dmitriev; alex [email protected] Received 19 February 2014; Revised 10 April 2014; Accepted 17 April 2014; Published 22 May 2014 Academic Editor: Carole Sourbier Copyright © 2014 Alexey A. Dmitriev et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -
The Genome-Wide Landscape of Copy Number Variations in the MUSGEN Study Provides Evidence for a Founder Effect in the Isolated Finnish Population
European Journal of Human Genetics (2013) 21, 1411–1416 & 2013 Macmillan Publishers Limited All rights reserved 1018-4813/13 www.nature.com/ejhg ARTICLE The genome-wide landscape of copy number variations in the MUSGEN study provides evidence for a founder effect in the isolated Finnish population Chakravarthi Kanduri1, Liisa Ukkola-Vuoti1, Jaana Oikkonen1, Gemma Buck2, Christine Blancher2, Pirre Raijas3, Kai Karma4, Harri La¨hdesma¨ki5 and Irma Ja¨rvela¨*,1 Here we characterized the genome-wide architecture of copy number variations (CNVs) in 286 healthy, unrelated Finnish individuals belonging to the MUSGEN study, where molecular background underlying musical aptitude and related traits are studied. By using Illumina HumanOmniExpress-12v.1.0 beadchip, we identified 5493 CNVs that were spread across 467 different cytogenetic regions, spanning a total size of 287.83 Mb (B9.6% of the human genome). Merging the overlapping CNVs across samples resulted in 999 discrete copy number variable regions (CNVRs), of which B6.9% were putatively novel. The average number of CNVs per person was 20, whereas the average size of CNV per locus was 52.39 kb. Large CNVs (41 Mb) were present in 4% of the samples. The proportion of homozygous deletions in this data set (B12.4%) seemed to be higher when compared with three other populations. Interestingly, several CNVRs were significantly enriched in this sample set, whereas several others were totally depleted. For example, a CNVR at chr2p22.1 intersecting GALM was more common in this population (P ¼ 3.3706 Â 10 À44) than in African and other European populations. The enriched CNVRs, however, showed no significant association with music-related phenotypes.