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Dahn HA, Mountcastle J, Balacco J, Winkler S, Bista I, Schmitt AD, Pettersson OV, Formenti G, Oliver K, Smith M, Tan W, Kraus A, Mac S, Komoroske LM, Lama T, Crawford AJ, Murphy RW, Brown S, Scott AF, Morin PA, Jarvis ED, Fedrigo O. Benchmarking ultra-high molecular weight DNA preservation methods for long-read and long-range sequencing. Gigascience 2022; 11:6659719. [PMID: 35946988 PMCID: PMC9364683 DOI: 10.1093/gigascience/giac068] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 01/26/2022] [Accepted: 06/16/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Studies in vertebrate genomics require sampling from a broad range of tissue types, taxa, and localities. Recent advancements in long-read and long-range genome sequencing have made it possible to produce high-quality chromosome-level genome assemblies for almost any organism. However, adequate tissue preservation for the requisite ultra-high molecular weight DNA (uHMW DNA) remains a major challenge. Here we present a comparative study of preservation methods for field and laboratory tissue sampling, across vertebrate classes and different tissue types. RESULTS We find that storage temperature was the strongest predictor of uHMW fragment lengths. While immediate flash-freezing remains the sample preservation gold standard, samples preserved in 95% EtOH or 20-25% DMSO-EDTA showed little fragment length degradation when stored at 4°C for 6 hours. Samples in 95% EtOH or 20-25% DMSO-EDTA kept at 4°C for 1 week after dissection still yielded adequate amounts of uHMW DNA for most applications. Tissue type was a significant predictor of total DNA yield but not fragment length. Preservation solution had a smaller but significant influence on both fragment length and DNA yield. CONCLUSION We provide sample preservation guidelines that ensure sufficient DNA integrity and amount required for use with long-read and long-range sequencing technologies across vertebrates. Our best practices generated the uHMW DNA needed for the high-quality reference genomes for phase 1 of the Vertebrate Genomes Project, whose ultimate mission is to generate chromosome-level reference genome assemblies of all ∼70,000 extant vertebrate species.
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Affiliation(s)
| | | | | | - Sylke Winkler
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Saxony 01307, Germany
| | - Iliana Bista
- Tree of Life Program, Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK
- Department of Genetics, University of Cambridge, Cambridge, Cambridgeshire CB2 3EH, UK
| | | | | | | | - Karen Oliver
- Tree of Life Program, Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK
| | - Michelle Smith
- Tree of Life Program, Wellcome Sanger Institute, Hinxton, Cambridgeshire CB10 1SA, UK
| | - Wenhua Tan
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Saxony 01307, Germany
| | - Anne Kraus
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Saxony 01307, Germany
| | - Stephen Mac
- Arima Genomics, Inc., San Diego, CA 92121, USA
| | - Lisa M Komoroske
- Department of Environmental Conservation, University of Massachusetts Amherst, Amherst, MA 01003-9285, USA
| | - Tanya Lama
- Department of Environmental Conservation, University of Massachusetts Amherst, Amherst, MA 01003-9285, USA
| | - Andrew J Crawford
- Department of Biological Sciences, Universidad de los Andes, Bogotá 111711, Colombia
| | - Robert W Murphy
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario M5S 3B2, Canada
| | - Samara Brown
- The Rockefeller University, New York, NY 10065, USA
| | - Alan F Scott
- Department of Medicine, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Phillip A Morin
- Southwest Fisheries Science Center, National Marine Fisheries Service, NOAA, La Jolla, CA 92037, USA
| | - Erich D Jarvis
- The Rockefeller University, New York, NY 10065, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Olivier Fedrigo
- Correspondence address. Olivier Fedrigo, Vertebrate Genome Laboratory, The Rockefeller University, 1230 York Avenue, Box 366, New York, NY 10065, USA. E-mail:
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2
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Mohr DW, Gaughran SJ, Paschall J, Naguib A, Pang AWC, Dudchenko O, Aiden EL, Church DM, Scott AF. A Chromosome-Length Assembly of the Hawaiian Monk Seal (Neomonachus schauinslandi): A History of “Genetic Purging” and Genomic Stability. Genes (Basel) 2022; 13:genes13071270. [PMID: 35886053 PMCID: PMC9323584 DOI: 10.3390/genes13071270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 06/29/2022] [Accepted: 07/07/2022] [Indexed: 12/04/2022] Open
Abstract
The Hawaiian monk seal (HMS) is the single extant species of tropical earless seals of the genus Neomonachus. The species survived a severe bottleneck in the late 19th century and experienced subsequent population declines until becoming the subject of a NOAA-led species recovery effort beginning in 1976 when the population was fewer than 1000 animals. Like other recovering species, the Hawaiian monk seal has been reported to have reduced genetic heterogeneity due to the bottleneck and subsequent inbreeding. Here, we report a chromosomal reference assembly for a male animal produced using a variety of methods. The final assembly consisted of 16 autosomes, an X, and portions of the Y chromosomes. We compared variants in this animal to other HMS and to a frequently sequenced human sample, confirming about 12% of the variation seen in man. To confirm that the reference animal was representative of the HMS, we compared his sequence to that of 10 other individuals and noted similarly low variation in all. Variation in the major histocompatibility (MHC) genes was nearly absent compared to the orthologous human loci. Demographic analysis predicts that Hawaiian monk seals have had a long history of small populations preceding the bottleneck, and their current low levels of heterozygosity may indicate specialization to a stable environment. When we compared our reference assembly to that of other species, we observed significant conservation of chromosomal architecture with other pinnipeds, especially other phocids. This reference should be a useful tool for future evolutionary studies as well as the long-term management of this species.
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Affiliation(s)
- David W. Mohr
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (D.W.M.); (J.P.)
| | - Stephen J. Gaughran
- Department of Ecology & Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA;
| | - Justin Paschall
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (D.W.M.); (J.P.)
| | - Ahmed Naguib
- Bionano Genomics, Inc., 9640 Towne Centre Dr., Suite 100, San Diego, CA 92121, USA; (A.N.); (A.W.C.P.)
| | - Andy Wing Chun Pang
- Bionano Genomics, Inc., 9640 Towne Centre Dr., Suite 100, San Diego, CA 92121, USA; (A.N.); (A.W.C.P.)
| | - Olga Dudchenko
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; (O.D.); (E.L.A.)
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77030, USA
| | - Erez Lieberman Aiden
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; (O.D.); (E.L.A.)
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77030, USA
- UWA School of Agriculture and Environment, The University of Western Australia, Crawley, WA 6009, Australia
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
- Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai 201210, China
| | | | - Alan F. Scott
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; (D.W.M.); (J.P.)
- Correspondence:
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3
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Tamazian G, Dobrynin P, Zhuk A, Zhernakova DV, Perelman PL, Serdyukova NA, Graphodatsky AS, Komissarov A, Kliver S, Cherkasov N, Scott AF, Mohr DW, Koepfli KP, O'Brien SJ, Krasheninnikova K. Draft de novo Genome Assembly of the Elusive Jaguarundi, Puma yagouaroundi. J Hered 2021; 112:540-548. [PMID: 34146095 PMCID: PMC8558579 DOI: 10.1093/jhered/esab036] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 06/17/2021] [Indexed: 11/12/2022] Open
Abstract
The Puma lineage within the family Felidae consists of 3 species that last shared a common ancestor around 4.9 million years ago. Whole-genome sequences of 2 species from the lineage were previously reported: the cheetah (Acinonyx jubatus) and the mountain lion (Puma concolor). The present report describes a whole-genome assembly of the remaining species, the jaguarundi (Puma yagouaroundi). We sequenced the genome of a male jaguarundi with 10X Genomics linked reads and assembled the whole-genome sequence. The assembled genome contains a series of scaffolds that reach the length of chromosome arms and is similar in scaffold contiguity to the genome assemblies of cheetah and puma, with a contig N50 = 100.2 kbp and a scaffold N50 = 49.27 Mbp. We assessed the assembled sequence of the jaguarundi genome using BUSCO, aligned reads of the sequenced individual and another published female jaguarundi to the assembled genome, annotated protein-coding genes, repeats, genomic variants and their effects with respect to the protein-coding genes, and analyzed differences of the 2 jaguarundis from the reference mitochondrial genome. The jaguarundi genome assembly and its annotation were compared in quality, variants, and features to the previously reported genome assemblies of puma and cheetah. Computational analyzes used in the study were implemented in transparent and reproducible way to allow their further reuse and modification.
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Affiliation(s)
- Gaik Tamazian
- Faculty of Biology, Saint Petersburg State University, St. Petersburg, Russia
| | - Pavel Dobrynin
- Computer Technologies Laboratory, ITMO University, St. Petersburg, Russia
| | - Anna Zhuk
- Computer Technologies Laboratory, ITMO University, St. Petersburg, Russia
| | - Daria V Zhernakova
- Computer Technologies Laboratory, ITMO University, St. Petersburg, Russia.,Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | | | | | | | - Aleksey Komissarov
- Applied Genomics Laboratory, SCAMT Institute, ITMO University, St. Petersburg, Russia
| | - Sergei Kliver
- Institute of Molecular and Cellular Biology, Novosibirsk, Russia
| | - Nikolay Cherkasov
- Faculty of Biology, Saint Petersburg State University, St. Petersburg, Russia.,Centre for Computational Biology, Peter the Great Saint Petersburg Polytechnic University, St. Petersburg, Russia
| | - Alan F Scott
- Genetic Resources Core Facility, McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David W Mohr
- Genetic Resources Core Facility, McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Klaus-Peter Koepfli
- Smithsonian-Mason School of Conservation, Front Royal, VA, USA.,Center for Species Survival, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC, USA
| | - Stephen J O'Brien
- Computer Technologies Laboratory, ITMO University, St. Petersburg, Russia.,Guy Harvey Oceanographic Center, Nova Southeastern University, Fort Lauderdale, FL, USA
| | - Ksenia Krasheninnikova
- Computer Technologies Laboratory, ITMO University, St. Petersburg, Russia.,Wellcome Trust Sanger Institute, Cambridge, UK
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Scott AF, Deery E, Lawrence AD, Warren MJ. Plasmodium falciparum hydroxymethylbilane synthase does not house any cosynthase activity within the haem biosynthetic pathway. Microbiology (Reading) 2021; 167. [PMID: 34661520 PMCID: PMC8698207 DOI: 10.1099/mic.0.001095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Uroporphyrinogen III, the universal progenitor of macrocyclic, modified tetrapyrroles, is produced from aminolaevulinic acid (ALA) by a conserved pathway involving three enzymes: porphobilinogen synthase (PBGS), hydroxymethylbilane synthase (HmbS) and uroporphyrinogen III synthase (UroS). The gene encoding uroporphyrinogen III synthase has not yet been identified in Plasmodium falciparum, but it has been suggested that this activity is housed inside a bifunctional hybroxymethylbilane synthase (HmbS). Additionally, an unknown protein encoded by PF3D7_1247600 has also been predicted to possess UroS activity. In this study it is demonstrated that neither of these proteins possess UroS activity and the real UroS remains to be identified. This was demonstrated by the failure of codon-optimized genes to complement a defined Escherichia coli hemD− mutant (SASZ31) deficient in UroS activity. Furthermore, HPLC analysis of the oxidized reaction product from recombinant, purified P. falciparum HmbS showed that only uroporphyrin I could be detected (corresponding to hydroxymethylbilane production). No uroporphyrin III was detected, showing that P. falciparum HmbS does not have UroS activity and can only catalyze the formation of hydroxymethylbilane from porphobilinogen.
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Affiliation(s)
- Alan F. Scott
- School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NJ, UK
- Present address: School of Chemistry, Cardiff University, Cardiff, CF10 3AT, UK
- *Correspondence: Alan F. Scott,
| | - Evelyne Deery
- School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NJ, UK
| | - Andrew D. Lawrence
- School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NJ, UK
| | - Martin J. Warren
- School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NJ, UK
- Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ, UK
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5
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Scott AF, Amberger JS. The genes of OMIM: A legacy of Victor McKusick. Am J Med Genet A 2021; 185:3276-3283. [PMID: 34214258 DOI: 10.1002/ajmg.a.62415] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/02/2021] [Accepted: 06/05/2021] [Indexed: 01/31/2023]
Affiliation(s)
- Alan F Scott
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Joanna S Amberger
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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6
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Hamosh A, Amberger JS, Bocchini C, Scott AF, Rasmussen SA. Online Mendelian Inheritance in Man (OMIM®): Victor McKusick's magnum opus. Am J Med Genet A 2021; 185:3259-3265. [PMID: 34169650 PMCID: PMC8596664 DOI: 10.1002/ajmg.a.62407] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 06/05/2021] [Accepted: 06/11/2021] [Indexed: 11/16/2022]
Abstract
Victor McKusick's many contributions to medicine are legendary, but his magnum opus is Mendelian Inheritance in Man (MIM), his catalog of Mendelian phenotypes and their associated genes. The catalog, originally published in 1966 in book form, became available on the internet as Online Mendelian Inheritance in Man (OMIM®) in 1987. The first of 12 editions of MIM included 1486 entries; this number has increased to over 25,000 entries in OMIM as of April 2021, which demonstrates the growth of knowledge about Mendelian phenotypes and their genes through the years. OMIM now has over 20,000 unique users a day, including users from every country in the world. Many of the early decisions made by McKusick, such as to maintain MIM data in a computer‐readable format, to separate phenotype entries from those for genes, and to give phenotypes and genes MIM numbers, have proved essential to the long‐term utility and flexibility of his catalog. Based on his extensive knowledge of genetics and vision of its future in the field of medicine, he developed a framework for the capture and summary of information from the published literature on phenotypes and their associated genes; this catalog continues to serve as an indispensable resource to the genetics community.
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Affiliation(s)
- Ada Hamosh
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Joanna S Amberger
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Carol Bocchini
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Alan F Scott
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sonja A Rasmussen
- Departments of Pediatrics and Obstetrics and Gynecology, University of Florida College of Medicine, Gainesville, Florida, USA.,Department of Epidemiology, University of Florida College of Public Health and Health Professions and College of Medicine, Gainesville, Florida, USA
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7
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Zhang W, Venkataraghavan S, Hetmanski JB, Leslie EJ, Marazita ML, Feingold E, Weinberg SM, Ruczinski I, Taub MA, Scott AF, Ray D, Beaty TH. Detecting Gene-Environment Interaction for Maternal Exposures Using Case-Parent Trios Ascertained Through a Case With Non-Syndromic Orofacial Cleft. Front Cell Dev Biol 2021; 9:621018. [PMID: 33937227 PMCID: PMC8085423 DOI: 10.3389/fcell.2021.621018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Accepted: 03/15/2021] [Indexed: 12/13/2022] Open
Abstract
Two large studies of case-parent trios ascertained through a proband with a non-syndromic orofacial cleft (OFC, which includes cleft lip and palate, cleft lip alone, or cleft palate alone) were used to test for possible gene-environment (G × E) interaction between genome-wide markers (both observed and imputed) and self-reported maternal exposure to smoking, alcohol consumption, and multivitamin supplementation during pregnancy. The parent studies were as follows: GENEVA, which included 1,939 case-parent trios recruited largely through treatment centers in Europe, the United States, and Asia, and 1,443 case-parent trios from the Pittsburgh Orofacial Cleft Study (POFC) also ascertained through a proband with an OFC including three major racial/ethnic groups (European, Asian, and Latin American). Exposure rates to these environmental risk factors (maternal smoking, alcohol consumption, and multivitamin supplementation) varied across studies and among racial/ethnic groups, creating substantial differences in power to detect G × E interaction, but the trio design should minimize spurious results due to population stratification. The GENEVA and POFC studies were analyzed separately, and a meta-analysis was conducted across both studies to test for G × E interaction using the 2 df test of gene and G × E interaction and the 1 df test for G × E interaction alone. The 2 df test confirmed effects for several recognized risk genes, suggesting modest G × E effects. This analysis did reveal suggestive evidence for G × Vitamin interaction for CASP9 on 1p36 located about 3 Mb from PAX7, a recognized risk gene. Several regions gave suggestive evidence of G × E interaction in the 1 df test. For example, for G × Smoking interaction, the 1 df test suggested markers in MUSK on 9q31.3 from meta-analysis. Markers near SLCO3A1 also showed suggestive evidence in the 1 df test for G × Alcohol interaction, and rs41117 near RETREG1 (a.k.a. FAM134B) also gave suggestive significance in the meta-analysis of the 1 df test for G × Vitamin interaction. While it remains quite difficult to obtain definitive evidence for G × E interaction in genome-wide studies, perhaps due to small effect sizes of individual genes combined with low exposure rates, this analysis of two large case-parent trio studies argues for considering possible G × E interaction in any comprehensive study of complex and heterogeneous disorders such as OFC.
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Affiliation(s)
- Wanying Zhang
- Department of Epidemiology, School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Sowmya Venkataraghavan
- Department of Epidemiology, School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Jacqueline B. Hetmanski
- Department of Epidemiology, School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Elizabeth J. Leslie
- Department of Human Genetics, School of Medicine, Emory University, Atlanta, GA, United States
| | - Mary L. Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, School of Dental Medicine and Clinical and Translational Science, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Eleanor Feingold
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Seth M. Weinberg
- Center for Craniofacial and Dental Genetics, Department of Oral and Craniofacial Sciences, School of Dental Medicine and Clinical and Translational Science, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, United States
| | - Ingo Ruczinski
- Department of Biostatistics, School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Margaret A. Taub
- Department of Biostatistics, School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Alan F. Scott
- Department of Genetic Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Debashree Ray
- Department of Epidemiology, School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Terri H. Beaty
- Department of Epidemiology, School of Public Health, Johns Hopkins University, Baltimore, MD, United States
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8
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Player RA, Forsyth ER, Verratti KJ, Mohr DW, Scott AF, Bradburne CE. A novel canis lupus familiaris reference genome improves variant resolution for use in breed-specific GWAS. Life Sci Alliance 2021; 4:4/4/e202000902. [PMID: 33514656 PMCID: PMC7898556 DOI: 10.26508/lsa.202000902] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 01/07/2021] [Accepted: 01/13/2021] [Indexed: 11/24/2022] Open
Abstract
Reference genome fidelity is critically important for genome wide association studies, yet most vary widely from the study population. A typical whole genome sequencing approach implies short-read technologies resulting in fragmented assemblies with regions of ambiguity. Further information is lost by economic necessity when genotyping populations, as lower resolution technologies such as genotyping arrays are commonly used. Here, we present a phased reference genome for Canis lupus familiaris using high molecular weight DNA-sequencing technologies. We tested wet laboratory and bioinformatic approaches to demonstrate a minimum workflow to generate the 2.4 gigabase genome for a Labrador Retriever. The de novo assembly required eight Oxford Nanopore R9.4 flowcells (∼23X depth) and running a 10X Genomics library on the equivalent of one lane of an Illumina NovaSeq S1 flowcell (∼88X depth), bringing the cost of generating a nearly complete reference genome to less than $10K (USD). Mapping of short-read data from 10 Labrador Retrievers against this reference resulted in 1% more aligned reads versus the current reference (CanFam3.1, P < 0.001), and a 15% reduction of variant calls, increasing the chance of identifying true, low-effect size variants in a genome-wide association studies. We believe that by incorporating the cost to produce a full genome assembly into any large-scale genotyping project, an investigator can improve study power, decrease costs, and optimize the overall scientific value of their study.
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Affiliation(s)
- Robert A Player
- Asymmetric Operations Sector, The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Ellen R Forsyth
- Asymmetric Operations Sector, The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - Kathleen J Verratti
- Asymmetric Operations Sector, The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA
| | - David W Mohr
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Alan F Scott
- McKusick-Nathans Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Christopher E Bradburne
- Asymmetric Operations Sector, The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA .,McKusick-Nathans Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
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9
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Humble E, Dobrynin P, Senn H, Chuven J, Scott AF, Mohr DW, Dudchenko O, Omer AD, Colaric Z, Lieberman Aiden E, Al Dhaheri SS, Wildt D, Oliaji S, Tamazian G, Pukazhenthi B, Ogden R, Koepfli KP. Chromosomal-level genome assembly of the scimitar-horned oryx: Insights into diversity and demography of a species extinct in the wild. Mol Ecol Resour 2020; 20:1668-1681. [PMID: 32365406 DOI: 10.1111/1755-0998.13181] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 04/09/2020] [Accepted: 04/24/2020] [Indexed: 01/04/2023]
Abstract
Captive populations provide a valuable insurance against extinctions in the wild. However, they are also vulnerable to the negative impacts of inbreeding, selection and drift. Genetic information is therefore considered a critical aspect of conservation management. Recent developments in sequencing technologies have the potential to improve the outcomes of management programmes; however, the transfer of these approaches to applied conservation has been slow. The scimitar-horned oryx (Oryx dammah) is a North African antelope that has been extinct in the wild since the early 1980s and is the focus of a large-scale and long-term reintroduction project. To enable the selection of suitable founder individuals, facilitate post-release monitoring and improve captive breeding management, comprehensive genomic resources are required. Here, we used 10X Chromium sequencing together with Hi-C contact mapping to develop a chromosomal-level genome assembly for the species. The resulting assembly contained 29 chromosomes with a scaffold N50 of 100.4 Mb, and displayed strong chromosomal synteny with the cattle genome. Using resequencing data from six additional individuals, we demonstrated relatively high genetic diversity in the scimitar-horned oryx compared to other mammals, despite it having experienced a strong founding event in captivity. Additionally, the level of diversity across populations varied according to management strategy. Finally, we uncovered a dynamic demographic history that coincided with periods of climate variation during the Pleistocene. Overall, our study provides a clear example of how genomic data can uncover valuable insights into captive populations and contributes important resources to guide future management decisions of an endangered species.
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Affiliation(s)
- Emily Humble
- Royal (Dick) School of Veterinary Studies and the Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Pavel Dobrynin
- Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Front Royal, VA, USA.,Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Washington, DC, USA.,Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia
| | - Helen Senn
- RZSS WildGenes Laboratory, Conservation Department, Royal Zoological Society of Scotland, Edinburgh, UK
| | - Justin Chuven
- Terrestrial & Marine Biodiversity Sector, Environment Agency, Abu Dhabi, United Arab Emirates
| | - Alan F Scott
- Genetic Resources Core Facility, McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David W Mohr
- Genetic Resources Core Facility, McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Olga Dudchenko
- The Center for Genome Architecture, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX, USA.,Department of Computer Science, Department of Computational and Applied Mathematics, Rice University, Houston, TX, USA.,Center for Theoretical and Biological Physics, Rice University, Houston, TX, USA
| | - Arina D Omer
- The Center for Genome Architecture, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX, USA.,Department of Computer Science, Department of Computational and Applied Mathematics, Rice University, Houston, TX, USA
| | - Zane Colaric
- The Center for Genome Architecture, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX, USA.,Department of Computer Science, Department of Computational and Applied Mathematics, Rice University, Houston, TX, USA
| | - Erez Lieberman Aiden
- The Center for Genome Architecture, Department of Molecular and Human Genetics Baylor College of Medicine, Houston, TX, USA.,Department of Computer Science, Department of Computational and Applied Mathematics, Rice University, Houston, TX, USA.,Center for Theoretical and Biological Physics, Rice University, Houston, TX, USA.,Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech University, Shanghai, China
| | | | - David Wildt
- Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Front Royal, VA, USA.,Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Washington, DC, USA
| | - Shireen Oliaji
- Royal (Dick) School of Veterinary Studies and the Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Gaik Tamazian
- Computer Technologies Laboratory, ITMO University, St. Petersburg, Russia
| | - Budhan Pukazhenthi
- Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Front Royal, VA, USA.,Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Washington, DC, USA
| | - Rob Ogden
- Royal (Dick) School of Veterinary Studies and the Roslin Institute, University of Edinburgh, Edinburgh, UK
| | - Klaus-Peter Koepfli
- Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Front Royal, VA, USA.,Smithsonian Conservation Biology Institute, Center for Species Survival, National Zoological Park, Washington, DC, USA
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10
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Abstract
An unsolved mystery in biology concerns the link between enzyme catalysis and protein motions. Comparison between isotopically labelled "heavy" dihydrofolate reductases and their natural-abundance counterparts has suggested that the coupling of protein motions to the chemistry of the catalysed reaction is minimised in the case of hydride transfer. In alcohol dehydrogenases, unnatural, bulky substrates that induce additional electrostatic rearrangements of the active site enhance coupled motions. This finding could provide a new route to engineering enzymes with altered substrate specificity, because amino acid residues responsible for dynamic coupling with a given substrate present as hotspots for mutagenesis. Detailed understanding of the biophysics of enzyme catalysis based on insights gained from analysis of "heavy" enzymes might eventually allow routine engineering of enzymes to catalyse reactions of choice.
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Affiliation(s)
- Alan F. Scott
- School of ChemistryCardiff UniversityMain Building, Park PlaceCardiffCF10 3ATUK
| | - Louis Y.‐P. Luk
- School of ChemistryCardiff UniversityMain Building, Park PlaceCardiffCF10 3ATUK
| | - Iñaki Tuñón
- Departament de Química FísicaUniversitat de Valencia46100BurjassotSpain
| | - Vicent Moliner
- Department of Physical and Analytical ChemistryUniversitat Jaume IAvenida de Vicent Sos Baynat, s/n12071CastellonSpain
| | - Rudolf K. Allemann
- School of ChemistryCardiff UniversityMain Building, Park PlaceCardiffCF10 3ATUK
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11
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Fu JM, Leslie EJ, Scott AF, Murray JC, Marazita ML, Beaty TH, Scharpf RB, Ruczinski I. Detection of de novo copy number deletions from targeted sequencing of trios. Bioinformatics 2019; 35:571-578. [PMID: 30084993 PMCID: PMC6378941 DOI: 10.1093/bioinformatics/bty677] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 07/25/2018] [Accepted: 08/01/2018] [Indexed: 11/25/2022] Open
Abstract
MOTIVATION De novo copy number deletions have been implicated in many diseases, but there is no formal method to date that identifies de novo deletions in parent-offspring trios from capture-based sequencing platforms. RESULTS We developed Minimum Distance for Targeted Sequencing (MDTS) to fill this void. MDTS has similar sensitivity (recall), but a much lower false positive rate compared to less specific CNV callers, resulting in a much higher positive predictive value (precision). MDTS also exhibited much better scalability. AVAILABILITY AND IMPLEMENTATION MDTS is freely available as open source software from the Bioconductor repository. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Jack M Fu
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Alan F Scott
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Jeffrey C Murray
- Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Mary L Marazita
- Department of Oral Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Robert B Scharpf
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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12
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Bureau A, Begum F, Taub MA, Hetmanski J, Parker MM, Albacha-Hejazi H, Scott AF, Murray JC, Marazita ML, Bailey-Wilson JE, Beaty TH, Ruczinski I. Inferring disease risk genes from sequencing data in multiplex pedigrees through sharing of rare variants. Genet Epidemiol 2019; 43:37-49. [PMID: 30246882 PMCID: PMC6330140 DOI: 10.1002/gepi.22155] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 07/11/2018] [Accepted: 07/15/2018] [Indexed: 12/23/2022]
Abstract
We previously demonstrated how sharing of rare variants (RVs) in distant affected relatives can be used to identify variants causing a complex and heterogeneous disease. This approach tested whether single RVs were shared by all sequenced affected family members. However, as with other study designs, joint analysis of several RVs (e.g., within genes) is sometimes required to obtain sufficient statistical power. Further, phenocopies can lead to false negatives for some causal RVs if complete sharing among affected is required. Here, we extend our methodology (Rare Variant Sharing, RVS) to address these issues. Specifically, we introduce gene-based analyses, a partial sharing test based on RV sharing probabilities for subsets of affected relatives and a haplotype-based RV definition. RVS also has the desirable feature of not requiring external estimates of variant frequency or control samples, provides functionality to assess and address violations of key assumptions, and is available as open source software for genome-wide analysis. Simulations including phenocopies, based on the families of an oral cleft study, revealed the partial and complete sharing versions of RVS achieved similar statistical power compared with alternative methods (RareIBD and the Gene-Based Segregation Test), and had superior power compared with the pedigree Variant Annotation, Analysis, and Search Tool (pVAAST) linkage statistic. In studies of multiplex cleft families, analysis of rare single nucleotide variants in the exome of 151 affected relatives from 54 families revealed no significant excess sharing in any one gene, but highlighted different patterns of sharing revealed by the complete and partial sharing tests.
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Affiliation(s)
- Alexandre Bureau
- Département de Médecine Sociale et Préventive, Université Laval, Québec, Canada
- Centre de recherche CERVO, Québec, Canada
| | - Ferdouse Begum
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Margaret A. Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jacqueline Hetmanski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Margaret M. Parker
- Channing Division of Network Medicine, Harvard Medical School, Boston, MA, USA
| | | | - Alan F. Scott
- Institute of Genetic Medicine, Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Jeffrey C. Murray
- Department of Pediatrics, School of Medicine, University of Iowa, Iowa City, IA, USA
| | - Mary L. Marazita
- Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joan E. Bailey-Wilson
- Inherited Disease Research Branch, National Human Genome Research Institute, Baltimore, MD, USA
| | - Terri H. Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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13
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Amberger JS, Bocchini CA, Scott AF, Hamosh A. OMIM.org: leveraging knowledge across phenotype-gene relationships. Nucleic Acids Res 2019; 47:D1038-D1043. [PMID: 30445645 PMCID: PMC6323937 DOI: 10.1093/nar/gky1151] [Citation(s) in RCA: 436] [Impact Index Per Article: 87.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2018] [Accepted: 11/07/2018] [Indexed: 01/28/2023] Open
Abstract
For over 50 years Mendelian Inheritance in Man has chronicled the collective knowledge of the field of medical genetics. It initially cataloged the known X-linked, autosomal recessive and autosomal dominant inherited disorders, but grew to be the primary repository of curated information on both genes and genetic phenotypes and the relationships between them. Each phenotype and gene is given a separate entry assigned a stable, unique identifier. The entries contain structured summaries of new and important information based on expert review of the biomedical literature. OMIM.org provides interactive access to the knowledge repository, including genomic coordinate searches of the gene map, views of genetic heterogeneity of phenotypes in Phenotypic Series, and side-by-side comparisons of clinical synopses. OMIM.org also supports computational queries via a robust API. All entries have extensive targeted links to other genomic resources and additional references. Updates to OMIM can be found on the update list or followed through the MIMmatch service. Updated user guides and tutorials are available on the website. As of September 2018, OMIM had over 24,600 entries, and the OMIM Morbid Map Scorecard had 6,259 molecularized phenotypes connected to 3,961 genes.
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Affiliation(s)
- Joanna S Amberger
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Carol A Bocchini
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Alan F Scott
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Ada Hamosh
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA,To whom correspondence should be addressed. Tel: +1 410 614 3313; Fax: +1 410 955 4999;
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14
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Holzinger ER, Li Q, Parker MM, Hetmanski JB, Marazita ML, Mangold E, Ludwig KU, Taub MA, Begum F, Murray JC, Albacha‐Hejazi H, Alqosayer K, Al‐Souki G, Albasha Hejazi A, Scott AF, Beaty TH, Bailey‐Wilson JE. Analysis of sequence data to identify potential risk variants for oral clefts in multiplex families. Mol Genet Genomic Med 2017; 5:570-579. [PMID: 28944239 PMCID: PMC5606860 DOI: 10.1002/mgg3.320] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2017] [Revised: 06/12/2017] [Accepted: 06/14/2017] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Nonsyndromic oral clefts are craniofacial malformations, which include cleft lip with or without cleft palate. The etiology for oral clefts is complex with both genetic and environmental factors contributing to risk. Previous genome-wide association (GWAS) studies have identified multiple loci with small effects; however, many causal variants remain elusive. METHODS In this study, we address this by specifically looking for rare, potentially damaging variants in family-based data. We analyzed both whole exome sequence (WES) data and whole genome sequence (WGS) data in multiplex cleft families to identify variants shared by affected individuals. RESULTS Here we present the results from these analyses. Our most interesting finding was from a single Syrian family, which showed enrichment of nonsynonymous and potentially damaging rare variants in two genes: CASP9 and FAT4. CONCLUSION Neither of these candidate genes has previously been associated with oral clefts and, if confirmed as contributing to disease risk, may indicate novel biological pathways in the genetic etiology for oral clefts.
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Affiliation(s)
- Emily R. Holzinger
- Computational and Statistical Genomics BranchNational Human Genome Research InstituteNational Institutes of HealthBaltimoreMaryland
- National Institute of General Medical SciencesNational Institutes of HealthBethesdaMaryland
| | - Qing Li
- Computational and Statistical Genomics BranchNational Human Genome Research InstituteNational Institutes of HealthBaltimoreMaryland
| | - Margaret M. Parker
- Channing Division of Network MedicineBrigham and Women's HospitalBostonMassachusetts
- Harvard Medical SchoolCambridgeMassachusetts
| | | | - Mary L. Marazita
- Department of Oral BiologyCenter for Craniofacial and Dental GeneticsSchool of Maryland Dental MedicineUniversity of PittsburghPittsburghPennsylvania
| | | | - Kerstin U. Ludwig
- Institute of Human GeneticsUniversity of BonnBonnGermany
- Department of GenomicsLife & Brain CenterUniversity of BonnBonnGermany
| | - Margaret A. Taub
- Department of BiostatisticsJohns Hopkins Bloomberg School of Public HealthBaltimoreMaryland
| | - Ferdouse Begum
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMaryland
| | | | | | | | | | | | - Alan F. Scott
- Center for Inherited Disease ResearchJohns Hopkins School of MedicineBaltimoreMaryland
- Institute of Genetic MedicineJohns Hopkins School of MedicineBaltimoreMaryland
| | - Terri H. Beaty
- Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreMaryland
| | - Joan E. Bailey‐Wilson
- Computational and Statistical Genomics BranchNational Human Genome Research InstituteNational Institutes of HealthBaltimoreMaryland
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15
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Strande NT, Riggs ER, Buchanan AH, Ceyhan-Birsoy O, DiStefano M, Dwight SS, Goldstein J, Ghosh R, Seifert BA, Sneddon TP, Wright MW, Milko LV, Cherry JM, Giovanni MA, Murray MF, O’Daniel JM, Ramos EM, Santani AB, Scott AF, Plon SE, Rehm HL, Martin CL, Berg JS. Evaluating the Clinical Validity of Gene-Disease Associations: An Evidence-Based Framework Developed by the Clinical Genome Resource. Am J Hum Genet 2017; 100:895-906. [PMID: 28552198 DOI: 10.1016/j.ajhg.2017.04.015] [Citation(s) in RCA: 325] [Impact Index Per Article: 46.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Accepted: 04/26/2017] [Indexed: 10/19/2022] Open
Abstract
With advances in genomic sequencing technology, the number of reported gene-disease relationships has rapidly expanded. However, the evidence supporting these claims varies widely, confounding accurate evaluation of genomic variation in a clinical setting. Despite the critical need to differentiate clinically valid relationships from less well-substantiated relationships, standard guidelines for such evaluation do not currently exist. The NIH-funded Clinical Genome Resource (ClinGen) has developed a framework to define and evaluate the clinical validity of gene-disease pairs across a variety of Mendelian disorders. In this manuscript we describe a proposed framework to evaluate relevant genetic and experimental evidence supporting or contradicting a gene-disease relationship and the subsequent validation of this framework using a set of representative gene-disease pairs. The framework provides a semiquantitative measurement for the strength of evidence of a gene-disease relationship that correlates to a qualitative classification: "Definitive," "Strong," "Moderate," "Limited," "No Reported Evidence," or "Conflicting Evidence." Within the ClinGen structure, classifications derived with this framework are reviewed and confirmed or adjusted based on clinical expertise of appropriate disease experts. Detailed guidance for utilizing this framework and access to the curation interface is available on our website. This evidence-based, systematic method to assess the strength of gene-disease relationships will facilitate more knowledgeable utilization of genomic variants in clinical and research settings.
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16
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Fu J, Beaty TH, Scott AF, Hetmanski J, Parker MM, Wilson JEB, Marazita ML, Mangold E, Albacha-Hejazi H, Murray JC, Bureau A, Carey J, Cristiano S, Ruczinski I, Scharpf RB. Whole exome association of rare deletions in multiplex oral cleft families. Genet Epidemiol 2016; 41:61-69. [PMID: 27910131 DOI: 10.1002/gepi.22010] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Revised: 09/21/2016] [Accepted: 09/21/2016] [Indexed: 11/11/2022]
Abstract
By sequencing the exomes of distantly related individuals in multiplex families, rare mutational and structural changes to coding DNA can be characterized and their relationship to disease risk can be assessed. Recently, several rare single nucleotide variants (SNVs) were associated with an increased risk of nonsyndromic oral cleft, highlighting the importance of rare sequence variants in oral clefts and illustrating the strength of family-based study designs. However, the extent to which rare deletions in coding regions of the genome occur and contribute to risk of nonsyndromic clefts is not well understood. To identify putative structural variants underlying risk, we developed a pipeline for rare hemizygous deletions in families from whole exome sequencing and statistical inference based on rare variant sharing. Among 56 multiplex families with 115 individuals, we identified 53 regions with one or more rare hemizygous deletions. We found 45 of the 53 regions contained rare deletions occurring in only one family member. Members of the same family shared a rare deletion in only eight regions. We also devised a scalable global test for enrichment of shared rare deletions.
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Affiliation(s)
- Jack Fu
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
| | - Alan F Scott
- Center for Inherited Disease Research, Johns Hopkins School of Medicine, Baltimore MD, USA.,Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore MD, USA
| | - Jacqueline Hetmanski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
| | - Margaret M Parker
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Joan E Bailey Wilson
- Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA
| | - Mary L Marazita
- Department of Oral Biology, Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, PA, USA
| | | | | | - Jeffrey C Murray
- Department of Pediatrics, School of Medicine, University of Iowa, IA, USA
| | - Alexandre Bureau
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Québec and Département de Médecine Sociale et Préventive, Université Laval, Québec, Canada
| | - Jacob Carey
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
| | - Stephen Cristiano
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
| | - Robert B Scharpf
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA
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17
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Mathias RA, Taub MA, Gignoux CR, Fu W, Musharoff S, O'Connor TD, Vergara C, Torgerson DG, Pino-Yanes M, Shringarpure SS, Huang L, Rafaels N, Boorgula MP, Johnston HR, Ortega VE, Levin AM, Song W, Torres R, Padhukasahasram B, Eng C, Mejia-Mejia DA, Ferguson T, Qin ZS, Scott AF, Yazdanbakhsh M, Wilson JG, Marrugo J, Lange LA, Kumar R, Avila PC, Williams LK, Watson H, Ware LB, Olopade C, Olopade O, Oliveira R, Ober C, Nicolae DL, Meyers D, Mayorga A, Knight-Madden J, Hartert T, Hansel NN, Foreman MG, Ford JG, Faruque MU, Dunston GM, Caraballo L, Burchard EG, Bleecker E, Araujo MI, Herrera-Paz EF, Gietzen K, Grus WE, Bamshad M, Bustamante CD, Kenny EE, Hernandez RD, Beaty TH, Ruczinski I, Akey J, Barnes KC. A continuum of admixture in the Western Hemisphere revealed by the African Diaspora genome. Nat Commun 2016; 7:12522. [PMID: 27725671 PMCID: PMC5062574 DOI: 10.1038/ncomms12522] [Citation(s) in RCA: 100] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Accepted: 07/12/2016] [Indexed: 01/20/2023] Open
Abstract
The African Diaspora in the Western Hemisphere represents one of the largest forced migrations in history and had a profound impact on genetic diversity in modern populations. To date, the fine-scale population structure of descendants of the African Diaspora remains largely uncharacterized. Here we present genetic variation from deeply sequenced genomes of 642 individuals from North and South American, Caribbean and West African populations, substantially increasing the lexicon of human genomic variation and suggesting much variation remains to be discovered in African-admixed populations in the Americas. We summarize genetic variation in these populations, quantifying the postcolonial sex-biased European gene flow across multiple regions. Moreover, we refine estimates on the burden of deleterious variants carried across populations and how this varies with African ancestry. Our data are an important resource for empowering disease mapping studies in African-admixed individuals and will facilitate gene discovery for diseases disproportionately affecting individuals of African ancestry.
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Affiliation(s)
- Rasika Ann Mathias
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
- Department of Epidemiology, Bloomberg School of Public Health, JHU, Baltimore, Maryland 21205, USA
| | - Margaret A. Taub
- Department of Biostatistics, Bloomberg School of Public Health, JHU, Baltimore, Maryland 21205, USA
| | - Christopher R. Gignoux
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Wenqing Fu
- Department of Genomic Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Shaila Musharoff
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Timothy D. O'Connor
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
- Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
| | - Candelaria Vergara
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
| | - Dara G. Torgerson
- Department of Medicine, University of California, San Francisco, San Francisco, California 94143, USA
| | - Maria Pino-Yanes
- Department of Medicine, University of California, San Francisco, San Francisco, California 94143, USA
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid 28029, Spain
| | - Suyash S. Shringarpure
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Lili Huang
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
| | - Nicholas Rafaels
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
| | | | - Henry Richard Johnston
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia 30322, USA
| | - Victor E. Ortega
- Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - Albert M. Levin
- Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan 48202, USA
| | - Wei Song
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
- Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA
| | - Raul Torres
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, California 94158, USA
| | - Badri Padhukasahasram
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, Michigan 48202, USA
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, San Francisco, California 94143, USA
| | - Delmy-Aracely Mejia-Mejia
- Centro de Neumologia y Alergias, San Pedro Sula 21102, Honduras
- Faculty of Medicine, Centro Medico de la Familia, San Pedro Sula 21102, Honduras
| | - Trevor Ferguson
- Tropical Medicine Research Institute, The University of the West Indies, St. Michael BB11115, Barbados
| | - Zhaohui S. Qin
- Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia 30322, USA
| | - Alan F. Scott
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
| | - Maria Yazdanbakhsh
- Department of Parasitology, Leiden University Medical Center, Leiden 2333ZA, The Netherlands
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi 39216, USA
| | - Javier Marrugo
- Instituto de Investigaciones Immunologicas, Universidad de Cartagena, Cartagena 130000, Colombia
| | - Leslie A. Lange
- Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
| | - Rajesh Kumar
- Department of Pediatrics, Northwestern University, Chicago, Illinois 60637, USA
- The Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois 60637, USA
| | - Pedro C. Avila
- Department of Medicine, Northwestern University, Chicago, Illinois 60637, USA
| | - L. Keoki Williams
- Center for Health Policy and Health Services Research, Henry Ford Health System, Detroit, Michigan 48202, USA
- Department of Internal Medicine, Henry Ford Health System, Detroit, Michigan 48202, USA
| | - Harold Watson
- Faculty of Medical Sciences Cave Hill Campus, The University of the West Indies, Bridgetown BB11000, Barbados
- Queen Elizabeth Hospital, The University of the West Indies, St. Michael BB11115, Barbados
| | - Lorraine B. Ware
- Department of Medicine, Vanderbilt University, Nashville, Tennessee 37232, USA
- Department of Pathology, Microbiology and Immunology, Vanderbilt University, Nashville, Tennessee 37232, USA
| | - Christopher Olopade
- Department of Medicine and Center for Global Health, University of Chicago, Chicago, Illinois 60637, USA
| | | | - Ricardo Oliveira
- Laboratório de Patologia Experimental, Centro de Pesquisas Gonçalo Moniz, Salvador 40296-710, Brazil
| | - Carole Ober
- Department of Human Genetics, University of Chicago, Chicago, Illinois 60637, USA
| | - Dan L. Nicolae
- Department of Medicine, University of Chicago, Chicago, Illinois 60637, USA
- Department of Statistics, University of Chicago, Chicago, Illinois 60637, USA
| | - Deborah Meyers
- Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - Alvaro Mayorga
- Centro de Neumologia y Alergias, San Pedro Sula 21102, Honduras
| | - Jennifer Knight-Madden
- Tropical Medicine Research Institute, The University of the West Indies, St. Michael BB11115, Barbados
| | - Tina Hartert
- Department of Medicine, Vanderbilt University, Nashville, Tennessee 37232, USA
| | - Nadia N. Hansel
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
| | - Marilyn G. Foreman
- Pulmonary and Critical Care Medicine, Morehouse School of Medicine, Atlanta, Georgia 30310, USA
| | - Jean G. Ford
- Department of Epidemiology, Bloomberg School of Public Health, JHU, Baltimore, Maryland 21205, USA
- Department of Medicine, The Brooklyn Hospital Center, Brooklyn, New York 11201, USA
| | - Mezbah U. Faruque
- National Human Genome Center, Howard University College of Medicine, Washington DC 20059, USA
| | - Georgia M. Dunston
- National Human Genome Center, Howard University College of Medicine, Washington DC 20059, USA
- Department of Microbiology, Howard University College of Medicine, Washington DC 20059, USA
| | - Luis Caraballo
- Institute for Immunological Research, Universidad de Cartagena, Cartagena 130000, Colombia
| | - Esteban G. Burchard
- Department of Medicine, University of California, San Francisco, San Francisco, California 94143, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California 94158, USA
| | - Eugene Bleecker
- Center for Human Genomics and Personalized Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA
| | - Maria Ilma Araujo
- Immunology Service, Universidade Federal da Bahia, Salvador 401110170, Brazil
| | - Edwin Francisco Herrera-Paz
- Centro de Neumologia y Alergias, San Pedro Sula 21102, Honduras
- Faculty of Medicine, Centro Medico de la Familia, San Pedro Sula 21102, Honduras
- Facultad de Medicina, Universidad Catolica de Honduras, San Pedro Sula 21102, Honduras
| | | | | | - Michael Bamshad
- Department of Pediatrics, University of Washington, Seattle, Washington 98195, USA
| | - Carlos D. Bustamante
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Eimear E. Kenny
- Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA
| | - Ryan D. Hernandez
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California 94158, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, California 94143, USA
- California Institute for Quantitative Biosciences, University of California, San Francisco, California 94143, USA
| | - Terri H. Beaty
- Department of Epidemiology, Bloomberg School of Public Health, JHU, Baltimore, Maryland 21205, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Bloomberg School of Public Health, JHU, Baltimore, Maryland 21205, USA
| | - Joshua Akey
- Department of Genomic Sciences, University of Washington, Seattle, Washington 98195, USA
| | - Kathleen C. Barnes
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland 21224, USA
- Department of Epidemiology, Bloomberg School of Public Health, JHU, Baltimore, Maryland 21205, USA
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18
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Qin HD, Liao XY, Chen YB, Huang SY, Xue WQ, Li FF, Ge XS, Liu DQ, Cai Q, Long J, Li XZ, Hu YZ, Zhang SD, Zhang LJ, Lehrman B, Scott AF, Lin D, Zeng YX, Shugart YY, Jia WH. Genomic Characterization of Esophageal Squamous Cell Carcinoma Reveals Critical Genes Underlying Tumorigenesis and Poor Prognosis. Am J Hum Genet 2016; 98:709-27. [PMID: 27058444 DOI: 10.1016/j.ajhg.2016.02.021] [Citation(s) in RCA: 108] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2015] [Accepted: 02/24/2016] [Indexed: 12/17/2022] Open
Abstract
The genetic mechanisms underlying the poor prognosis of esophageal squamous cell carcinoma (ESCC) are not well understood. Here, we report somatic mutations found in ESCC from sequencing 10 whole-genome and 57 whole-exome matched tumor-normal sample pairs. Among the identified genes, we characterized mutations in VANGL1 and showed that they accelerated cell growth in vitro. We also found that five other genes, including three coding genes (SHANK2, MYBL2, FADD) and two non-coding genes (miR-4707-5p, PCAT1), were involved in somatic copy-number alterations (SCNAs) or structural variants (SVs). A survival analysis based on the expression profiles of 321 individuals with ESCC indicated that these genes were significantly associated with poorer survival. Subsequently, we performed functional studies, which showed that miR-4707-5p and MYBL2 promoted proliferation and metastasis. Together, our results shed light on somatic mutations and genomic events that contribute to ESCC tumorigenesis and prognosis and might suggest therapeutic targets.
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Affiliation(s)
- Hai-De Qin
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; Unit on Statistical Genomics, Division of Intramural Research Programs, National Institute of Mental Health, NIH, Bethesda, MD 20892, USA
| | - Xiao-Yu Liao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Yuan-Bin Chen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Shao-Yi Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Wen-Qiong Xue
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Fang-Fang Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Xiao-Song Ge
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; The Affiliated Hospital of Jiangnan University, Wuxi 214062, China
| | - De-Qing Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center and Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37240, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center and Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN 37240, USA
| | - Xi-Zhao Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Ye-Zhu Hu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Shao-Dan Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Lan-Jun Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Benjamin Lehrman
- Unit on Statistical Genomics, Division of Intramural Research Programs, National Institute of Mental Health, NIH, Bethesda, MD 20892, USA
| | - Alan F Scott
- McKusick Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Dongxin Lin
- State Key Laboratory of Molecular Oncology, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
| | - Yi-Xin Zeng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Yin Yao Shugart
- Unit on Statistical Genomics, Division of Intramural Research Programs, National Institute of Mental Health, NIH, Bethesda, MD 20892, USA.
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
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19
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Mitchell CJ, Getnet D, Kim MS, Manda SS, Kumar P, Huang TC, Pinto SM, Nirujogi RS, Iwasaki M, Shaw PG, Wu X, Zhong J, Chaerkady R, Marimuthu A, Muthusamy B, Sahasrabuddhe NA, Raju R, Bowman C, Danilova L, Cutler J, Kelkar DS, Drake CG, Prasad TSK, Marchionni L, Murakami PN, Scott AF, Shi L, Thierry-Mieg J, Thierry-Mieg D, Irizarry R, Cope L, Ishihama Y, Wang C, Gowda H, Pandey A. A multi-omic analysis of human naïve CD4+ T cells. BMC Syst Biol 2015; 9:75. [PMID: 26542228 PMCID: PMC4636073 DOI: 10.1186/s12918-015-0225-4] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Accepted: 10/28/2015] [Indexed: 12/21/2022]
Abstract
Background Cellular function and diversity are orchestrated by complex interactions of fundamental biomolecules including DNA, RNA and proteins. Technological advances in genomics, epigenomics, transcriptomics and proteomics have enabled massively parallel and unbiased measurements. Such high-throughput technologies have been extensively used to carry out broad, unbiased studies, particularly in the context of human diseases. Nevertheless, a unified analysis of the genome, epigenome, transcriptome and proteome of a single human cell type to obtain a coherent view of the complex interplay between various biomolecules has not yet been undertaken. Here, we report the first multi-omic analysis of human primary naïve CD4+ T cells isolated from a single individual. Results Integrating multi-omics datasets allowed us to investigate genome-wide methylation and its effect on mRNA/protein expression patterns, extent of RNA editing under normal physiological conditions and allele specific expression in naïve CD4+ T cells. In addition, we carried out a multi-omic comparative analysis of naïve with primary resting memory CD4+ T cells to identify molecular changes underlying T cell differentiation. This analysis provided mechanistic insights into how several molecules involved in T cell receptor signaling are regulated at the DNA, RNA and protein levels. Phosphoproteomics revealed downstream signaling events that regulate these two cellular states. Availability of multi-omics data from an identical genetic background also allowed us to employ novel proteogenomics approaches to identify individual-specific variants and putative novel protein coding regions in the human genome. Conclusions We utilized multiple high-throughput technologies to derive a comprehensive profile of two primary human cell types, naïve CD4+ T cells and memory CD4+ T cells, from a single donor. Through vertical as well as horizontal integration of whole genome sequencing, methylation arrays, RNA-Seq, miRNA-Seq, proteomics, and phosphoproteomics, we derived an integrated and comparative map of these two closely related immune cells and identified potential molecular effectors of immune cell differentiation following antigen encounter. Electronic supplementary material The online version of this article (doi:10.1186/s12918-015-0225-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Christopher J Mitchell
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Derese Getnet
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Min-Sik Kim
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Srikanth S Manda
- Institute of Bioinformatics, International Tech Park, Whitefield, Bangalore, India.
| | - Praveen Kumar
- Institute of Bioinformatics, International Tech Park, Whitefield, Bangalore, India.
| | - Tai-Chung Huang
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Sneha M Pinto
- Institute of Bioinformatics, International Tech Park, Whitefield, Bangalore, India.
| | - Raja Sekhar Nirujogi
- Institute of Bioinformatics, International Tech Park, Whitefield, Bangalore, India.
| | - Mio Iwasaki
- Department of Molecular & Cellular BioAnalysis, Kyoto University, Kyoto, Japan.
| | - Patrick G Shaw
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Xinyan Wu
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Jun Zhong
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Raghothama Chaerkady
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Arivusudar Marimuthu
- Institute of Bioinformatics, International Tech Park, Whitefield, Bangalore, India.
| | | | | | - Rajesh Raju
- Institute of Bioinformatics, International Tech Park, Whitefield, Bangalore, India.
| | - Caitlyn Bowman
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Ludmila Danilova
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Jevon Cutler
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Dhanashree S Kelkar
- Institute of Bioinformatics, International Tech Park, Whitefield, Bangalore, India.
| | - Charles G Drake
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - T S Keshava Prasad
- Institute of Bioinformatics, International Tech Park, Whitefield, Bangalore, India.
| | - Luigi Marchionni
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Peter N Murakami
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
| | - Alan F Scott
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Leming Shi
- National Center for Toxicological Research, Food and Drug Administration, Jefferson, AR, USA.
| | - Jean Thierry-Mieg
- National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, USA.
| | - Danielle Thierry-Mieg
- National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, USA.
| | - Rafael Irizarry
- Department of Biostatistics and Computational Biology, Dana Farber Cancer Institute, Boston, MA, USA.
| | - Leslie Cope
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Yasushi Ishihama
- Department of Molecular & Cellular BioAnalysis, Kyoto University, Kyoto, Japan.
| | - Charles Wang
- Center for Genomics and Division of Microbiology & Molecular Genetics, Loma Linda University, Loma Linda, CA, USA.
| | - Harsha Gowda
- Institute of Bioinformatics, International Tech Park, Whitefield, Bangalore, India.
| | - Akhilesh Pandey
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. .,Institute of Bioinformatics, International Tech Park, Whitefield, Bangalore, India. .,Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, MD, USA. .,Department of Pathology and Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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20
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Bu L, Chen Q, Wang H, Zhang T, Hetmanski JB, Schwender H, Parker M, Chou YHW, Yeow V, Chong SS, Zhang B, Jabs EW, Scott AF, Beaty TH. Novel evidence of association with nonsyndromic cleft lip with or without cleft palate was shown for single nucleotide polymorphisms in FOXF2 gene in an Asian population. ACTA ACUST UNITED AC 2015; 103:857-62. [PMID: 26278207 DOI: 10.1002/bdra.23413] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Revised: 06/15/2015] [Accepted: 06/28/2015] [Indexed: 11/07/2022]
Abstract
BACKGROUND The forkhead box F2 gene (FOXF2) located in chromosome 6p25.3 has been shown to play a crucial role in palatal development in mouse and rat models. To date, no evidence of linkage or association has been reported for this gene in humans with oral clefts. METHODS Allelic transmission disequilibrium tests were used to robustly assess evidence of linkage and association with nonsyndromic cleft lip with or without cleft palate for nine single nucleotide polymorphisms (SNPs) in and around FOXF2 in both Asian and European trios using PLINK. RESULTS Statistically significant evidence of linkage and association was shown for two SNPs (rs1711968 and rs732835) in 216 Asian trios where the empiric P values with permutation tests were 0.0016 and 0.005, respectively. The corresponding estimated odds ratios for carrying the minor allele at these SNPs were 2.05 (95% confidence interval = 1.41, 2.98) and 1.77 (95% confidence interval = 1.26, 2.49), respectively. CONCLUSION Our results provided statistical evidence of linkage and association between FOXF2 and nonsyndromic cleft lip with or without cleft palate.
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Affiliation(s)
- Lingxue Bu
- Department of Oral and Maxillofacial Surgery, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Qianqian Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,National Center for Public Health Surveillance and Information Services, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hong Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Ministry of Health KeyLaboratory of Reproductive Health, Beijing, China
| | - Tianxiao Zhang
- Division of Biology and Biomedical Sciences, Washington University, St. Louis, Missouri
| | - Jacqueline B Hetmanski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Holger Schwender
- Mathematical Institute, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Margaret Parker
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Yah-Huei Wu Chou
- Department of Medical Research, Chang Gung Memorial Hospital, Taipei, Taiwan
| | - Vincent Yeow
- Department of Plastic Surgery, K K Women's and Children's Hospital, Singapore
| | - Samuel S Chong
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore
| | - Bo Zhang
- Department of Biomedical Engineering, Xi'an JiaoTong University, Xi'an, China
| | - Ethylin Wang Jabs
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA. Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Alan F Scott
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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21
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Younkin SG, Scharpf RB, Schwender H, Parker MM, Scott AF, Marazita ML, Beaty TH, Ruczinski I. A genome-wide study of inherited deletions identified two regions associated with nonsyndromic isolated oral clefts. ACTA ACUST UNITED AC 2015; 103:276-83. [PMID: 25776870 DOI: 10.1002/bdra.23362] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND DNA copy number variants play an important part in the development of common birth defects such as oral clefts. Individual patients with multiple birth defects (including oral clefts) have been shown to carry small and large chromosomal deletions. METHODS We investigated the role of polymorphic copy number deletions by comparing transmission rates of deletions from parents to offspring in case-parent trios of European ancestry ascertained through a cleft proband with trios ascertained through a normal offspring. DNA copy numbers in trios were called using the joint hidden Markov model in the freely available PennCNV software. All statistical analyses were performed using Bioconductor tools in the open source environment R. RESULTS We identified a 67 kb region in the gene MGAM on chromosome 7q34, and a 206 kb region overlapping genes ADAM3A and ADAM5 on chromosome 8p11, where deletions are more frequently transmitted to cleft offspring than control offspring. CONCLUSIONS These genes or nearby regulatory elements may be involved in the etiology of oral clefts.
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Affiliation(s)
- Samuel G Younkin
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore
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22
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Leslie EJ, Taub MA, Liu H, Steinberg KM, Koboldt DC, Zhang Q, Carlson JC, Hetmanski JB, Wang H, Larson DE, Fulton RS, Kousa YA, Fakhouri WD, Naji A, Ruczinski I, Begum F, Parker MM, Busch T, Standley J, Rigdon J, Hecht JT, Scott AF, Wehby GL, Christensen K, Czeizel AE, Deleyiannis FWB, Schutte BC, Wilson RK, Cornell RA, Lidral AC, Weinstock GM, Beaty TH, Marazita ML, Murray JC. Identification of functional variants for cleft lip with or without cleft palate in or near PAX7, FGFR2, and NOG by targeted sequencing of GWAS loci. Am J Hum Genet 2015; 96:397-411. [PMID: 25704602 PMCID: PMC4375420 DOI: 10.1016/j.ajhg.2015.01.004] [Citation(s) in RCA: 126] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2014] [Accepted: 01/09/2015] [Indexed: 11/21/2022] Open
Abstract
Although genome-wide association studies (GWASs) for nonsyndromic orofacial clefts have identified multiple strongly associated regions, the causal variants are unknown. To address this, we selected 13 regions from GWASs and other studies, performed targeted sequencing in 1,409 Asian and European trios, and carried out a series of statistical and functional analyses. Within a cluster of strongly associated common variants near NOG, we found that one, rs227727, disrupts enhancer activity. We furthermore identified significant clusters of non-coding rare variants near NTN1 and NOG and found several rare coding variants likely to affect protein function, including four nonsense variants in ARHGAP29. We confirmed 48 de novo mutations and, based on best biological evidence available, chose two of these for functional assays. One mutation in PAX7 disrupted the DNA binding of the encoded transcription factor in an in vitro assay. The second, a non-coding mutation, disrupted the activity of a neural crest enhancer downstream of FGFR2 both in vitro and in vivo. This targeted sequencing study provides strong functional evidence implicating several specific variants as primary contributory risk alleles for nonsyndromic clefting in humans.
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Affiliation(s)
- Elizabeth J Leslie
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA 15219, USA.
| | - Margaret A Taub
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Huan Liu
- Department of Orthodontics, College of Dentistry, University of Iowa, Iowa City, IA 52242, USA; State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) and Key Laboratory for Oral Biomedicine of Ministry of Education, School and Hospital of Stomatology, Wuhan University, 430072 Wuhan, China
| | - Karyn Meltz Steinberg
- The Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Daniel C Koboldt
- The Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Qunyuan Zhang
- Department of Statistical Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Jenna C Carlson
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Jacqueline B Hetmanski
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Hang Wang
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - David E Larson
- The Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Robert S Fulton
- The Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Youssef A Kousa
- Department of Biochemistry and Molecular Biology, College of Osteopathic Medicine, Michigan State University, East Lansing, MI 48824, USA
| | - Walid D Fakhouri
- Department of Diagnostic and Biomedical Sciences, School of Dentistry, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Ali Naji
- Department of Diagnostic and Biomedical Sciences, School of Dentistry, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Ferdouse Begum
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Margaret M Parker
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Tamara Busch
- Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Jennifer Standley
- Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Jennifer Rigdon
- Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Jacqueline T Hecht
- Department of Pediatrics, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Alan F Scott
- Institute of Genetic Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
| | - George L Wehby
- Department of Health Management and Policy, College of Public Health, University of Iowa, Iowa City, IA 52242, USA
| | - Kaare Christensen
- Department of Epidemiology, Institute of Public Health, University of Southern Denmark, 5230 Odense, Denmark
| | - Andrew E Czeizel
- Foundation for the Community Control of Hereditary Diseases, Budapest 1148, Hungary
| | - Frederic W-B Deleyiannis
- Department of Surgery, Plastic and Reconstructive Surgery, University of Colorado School of Medicine, Denver, CO 80045, USA
| | - Brian C Schutte
- Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA
| | - Richard K Wilson
- The Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Robert A Cornell
- Department of Anatomy and Cell Biology, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Andrew C Lidral
- Department of Orthodontics, College of Dentistry, University of Iowa, Iowa City, IA 52242, USA
| | - George M Weinstock
- The Genome Institute, Washington University School of Medicine, St. Louis, MO 63108, USA; The Jackson Laboratory for Genomic Medicine, Farmington, CT 06117, USA
| | - Terri H Beaty
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Mary L Marazita
- Center for Craniofacial and Dental Genetics, Department of Oral Biology, School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA 15219, USA; Department of Human Genetics, Graduate School of Public Health, and Clinical and Translational Science Institute, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA.
| | - Jeffrey C Murray
- Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
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23
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Scott AF, Mohr DW, Kasch LM, Barton JA, Pittiglio R, Ingersoll R, Craig B, Marosy BA, Doheny KF, Bromley WC, Roderick TH, Chassaing N, Calvas P, Prabhu SS, Jabs EW. Identification of an HMGB3 frameshift mutation in a family with an X-linked colobomatous microphthalmia syndrome using whole-genome and X-exome sequencing. JAMA Ophthalmol 2015; 132:1215-20. [PMID: 24993872 DOI: 10.1001/jamaophthalmol.2014.1731] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Microphthalmias are rare disorders whose genetic bases are not fully understood. HMGB3 is a new candidate gene for X-linked forms of this disease. OBJECTIVE To identify the causative gene in a pedigree with an X-linked colobomatous microphthalmos phenotype. DESIGN, SETTING, AND PARTICIPANTS Whole-genome sequencing and chromosome X-exome-targeted sequencing were performed at the High Throughput Sequencing Laboratory of the Genetic Resources Core Facility at the Johns Hopkins University School of Medicine on the DNA of the male proband and informatically filtered to identify rare variants. Polymerase chain reaction and Sanger sequencing were used to confirm the variant in the proband and the carrier status of his mother. Thirteen unrelated male patients with a similar phenotype were also screened. MAIN OUTCOMES AND MEASURES Whole-genome and X-exome sequencing to identify a frameshift variant in HMGB3. RESULTS A 2-base pair frameshift insertion (c.477_478insTA, coding for p.Lys161Ilefs*54) in the HGMB3 gene was found in the proband and his carrier mother but not in the unrelated patients. The mutation, confirmed by 3 orthogonal methods, alters an evolutionarily conserved region of the HMGB3 protein from a negatively charged polyglutamic acid tract to a positively charged arginine-rich motif that is likely to interfere with normal protein function. CONCLUSIONS AND RELEVANCE In this family, microphthalmia, microcephaly, intellectual disability, and short stature are associated with a mutation on the X chromosome in the HMGB3 gene. HMGB3 should be considered when performing genetic studies of patients with similar phenotypes.
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Affiliation(s)
- Alan F Scott
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - David W Mohr
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Laura M Kasch
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jill A Barton
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Raquel Pittiglio
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Roxann Ingersoll
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Brian Craig
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Beth A Marosy
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Kimberly F Doheny
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - William C Bromley
- The Jackson Laboratory, Center for Human Genetics, Bar Harbor, Maine
| | - Thomas H Roderick
- The Jackson Laboratory, Center for Human Genetics, Bar Harbor, Maine
| | - Nicolas Chassaing
- CHU Toulouse, Service de Génétique Médicale, Hôpital Purpan, Université Paul-Sabatier Toulouse III, Toulouse, France
| | - Patrick Calvas
- CHU Toulouse, Service de Génétique Médicale, Hôpital Purpan, Université Paul-Sabatier Toulouse III, Toulouse, France
| | | | - Ethylin Wang Jabs
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland4Icahn School of Medicine at Mount Sinai, New York, New York
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Amberger JS, Bocchini CA, Schiettecatte F, Scott AF, Hamosh A. OMIM.org: Online Mendelian Inheritance in Man (OMIM®), an online catalog of human genes and genetic disorders. Nucleic Acids Res 2014; 43:D789-98. [PMID: 25428349 PMCID: PMC4383985 DOI: 10.1093/nar/gku1205] [Citation(s) in RCA: 1352] [Impact Index Per Article: 135.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Online Mendelian Inheritance in Man, OMIM®, is a comprehensive, authoritative and timely research resource of curated descriptions of human genes and phenotypes and the relationships between them. The new official website for OMIM, OMIM.org (http://omim.org), was launched in January 2011. OMIM is based on the published peer-reviewed biomedical literature and is used by overlapping and diverse communities of clinicians, molecular biologists and genome scientists, as well as by students and teachers of these disciplines. Genes and phenotypes are described in separate entries and are given unique, stable six-digit identifiers (MIM numbers). OMIM entries have a structured free-text format that provides the flexibility necessary to describe the complex and nuanced relationships between genes and genetic phenotypes in an efficient manner. OMIM also has a derivative table of genes and genetic phenotypes, the Morbid Map. OMIM.org has enhanced search capabilities such as genome coordinate searching and thesaurus-enhanced search term options. Phenotypic series have been created to facilitate viewing genetic heterogeneity of phenotypes. Clinical synopsis features are enhanced with UMLS, Human Phenotype Ontology and Elements of Morphology terms and image links. All OMIM data are available for FTP download and through an API. MIMmatch is a novel outreach feature to disseminate updates and encourage collaboration.
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Affiliation(s)
- Joanna S Amberger
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Carol A Bocchini
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | | | - Alan F Scott
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Ada Hamosh
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
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Shenje LT, Andersen P, Halushka MK, Lui C, Fernandez L, Collin GB, Amat-Alarcon N, Meschino W, Cutz E, Chang K, Yonescu R, Batista DAS, Chen Y, Chelko S, Crosson JE, Scheel J, Vricella L, Craig BD, Marosy BA, Mohr DW, Hetrick KN, Romm JM, Scott AF, Valle D, Naggert JK, Kwon C, Doheny KF, Judge DP. Mutations in Alström protein impair terminal differentiation of cardiomyocytes. Nat Commun 2014; 5:3416. [PMID: 24595103 PMCID: PMC3992616 DOI: 10.1038/ncomms4416] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2013] [Accepted: 02/10/2014] [Indexed: 02/08/2023] Open
Abstract
Cardiomyocyte cell division and replication in mammals proceed through embryonic development and abruptly decline soon after birth. The process governing cardiomyocyte cell cycle arrest is poorly understood. Here we carry out whole exome sequencing in an infant with evidence of persistent postnatal cardiomyocyte replication to determine the genetic risk factors. We identify compound heterozygous ALMS1 mutations in the proband, and confirm their presence in her affected sibling, one copy inherited from each heterozygous parent. Next, we recognise homozygous or compound heterozygous truncating mutations in ALMS1 in four other children with high levels of postnatal cardiomyocyte proliferation. Alms1 mRNA knockdown increases multiple markers of proliferation in cardiomyocytes, the percentage of cardiomyocytes in G2/M phases, and the number of cardiomyocytes by 10% in cultured cells. Homozygous Alms1-mutant mice have increased cardiomyocyte proliferation at two weeks postnatal compared to wild-type littermates. We conclude that deficiency of Alström protein impairs postnatal cardiomyocyte cell cycle arrest.
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Affiliation(s)
- Lincoln T Shenje
- 1] Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA [2]
| | - Peter Andersen
- 1] Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA [2]
| | - Marc K Halushka
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Cecillia Lui
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Laviel Fernandez
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | | | - Nuria Amat-Alarcon
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Wendy Meschino
- North York General Hospital, Toronto, Ontario, Canada M2K 1E1
| | - Ernest Cutz
- Division of Pathology, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada M5G 1X8
| | - Kenneth Chang
- 1] Division of Pathology, Department of Paediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada M5G 1X8 [2] KK Women's and Children's Hospital and Duke-NUS Graduate Medical School, Singapore 229899, Singapore
| | - Raluca Yonescu
- 1] Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA [2] McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Denise A S Batista
- 1] Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA [2] McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Yan Chen
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Stephen Chelko
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Jane E Crosson
- Division of Cardiology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Janet Scheel
- Division of Cardiology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Luca Vricella
- Division of Cardiothoracic Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Brian D Craig
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Beth A Marosy
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - David W Mohr
- 1] McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA [2] High Throughput Sequencing Facility, Genetic Resources Core Facility, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Kurt N Hetrick
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Jane M Romm
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Alan F Scott
- 1] McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA [2] High Throughput Sequencing Facility, Genetic Resources Core Facility, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - David Valle
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | | | - Chulan Kwon
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Kimberly F Doheny
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
| | - Daniel P Judge
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
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26
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Younkin SG, Scharpf RB, Schwender H, Parker MM, Scott AF, Marazita ML, Beaty TH, Ruczinski I. A genome-wide study of de novo deletions identifies a candidate locus for non-syndromic isolated cleft lip/palate risk. BMC Genet 2014; 15:24. [PMID: 24528994 PMCID: PMC3929298 DOI: 10.1186/1471-2156-15-24] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Accepted: 01/31/2014] [Indexed: 01/25/2023] Open
Abstract
Background Copy number variants (CNVs) may play an important part in the development of common birth defects such as oral clefts, and individual patients with multiple birth defects (including clefts) have been shown to carry small and large chromosomal deletions. In this paper we investigate de novo deletions defined as DNA segments missing in an oral cleft proband but present in both unaffected parents. We compare de novo deletion frequencies in children of European ancestry with an isolated, non-syndromic oral cleft to frequencies in children of European ancestry from randomly sampled trios. Results We identified a genome-wide significant 62 kilo base (kb) non-coding region on chromosome 7p14.1 where de novo deletions occur more frequently among oral cleft cases than controls. We also observed wider de novo deletions among cleft lip and palate (CLP) cases than seen among cleft palate (CP) and cleft lip (CL) cases. Conclusions This study presents a region where de novo deletions appear to be involved in the etiology of oral clefts, although the underlying biological mechanisms are still unknown. Larger de novo deletions are more likely to interfere with normal craniofacial development and may result in more severe clefts. Study protocol and sample DNA source can severely affect estimates of de novo deletion frequencies. Follow-up studies are needed to further validate these findings and to potentially identify additional structural variants underlying oral clefts.
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Affiliation(s)
- Samuel G Younkin
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA.
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27
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Wu T, Schwender H, Ruczinski I, Murray JC, Marazita ML, Munger RG, Hetmanski JB, Parker MM, Wang P, Murray T, Taub M, Li S, Redett RJ, Fallin MD, Liang KY, Wu-Chou YH, Chong SS, Yeow V, Ye X, Wang H, Huang S, Jabs EW, Shi B, Wilcox AJ, Jee SH, Scott AF, Beaty TH. Evidence of gene-environment interaction for two genes on chromosome 4 and environmental tobacco smoke in controlling the risk of nonsyndromic cleft palate. PLoS One 2014; 9:e88088. [PMID: 24516586 PMCID: PMC3916361 DOI: 10.1371/journal.pone.0088088] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2013] [Accepted: 01/06/2014] [Indexed: 11/18/2022] Open
Abstract
Nonsyndromic cleft palate (CP) is one of the most common human birth defects and both genetic and environmental risk factors contribute to its etiology. We conducted a genome-wide association study (GWAS) using 550 CP case-parent trios ascertained in an international consortium. Stratified analysis among trios with different ancestries was performed to test for GxE interactions with common maternal exposures using conditional logistic regression models. While no single nucleotide polymorphism (SNP) achieved genome-wide significance when considered alone, markers in SLC2A9 and the neighboring WDR1 on chromosome 4p16.1 gave suggestive evidence of gene-environment interaction with environmental tobacco smoke (ETS) among 259 Asian trios when the models included a term for GxE interaction. Multiple SNPs in these two genes were associated with increased risk of nonsyndromic CP if the mother was exposed to ETS during the peri-conceptual period (3 months prior to conception through the first trimester). When maternal ETS was considered, fifteen of 135 SNPs mapping to SLC2A9 and 9 of 59 SNPs in WDR1 gave P values approaching genome-wide significance (10(-6)<P<10(-4)) in a test for GxETS interaction. SNPs rs3733585 and rs12508991 in SLC2A9 yielded P = 2.26×10(-7) in a test for GxETS interaction. SNPs rs6820756 and rs7699512 in WDR1 also yielded P = 1.79×10(-7) and P = 1.98×10(-7) in a 1 df test for GxE interaction. Although further replication studies are critical to confirming these findings, these results illustrate how genetic associations for nonsyndromic CP can be missed if potential GxE interaction is not taken into account, and this study suggest SLC2A9 and WDR1 should be considered as candidate genes for CP.
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Affiliation(s)
- Tao Wu
- Peking University Health Science Center, Beijing, China
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
- * E-mail:
| | - Holger Schwender
- Mathematical Institute, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Ingo Ruczinski
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
| | - Jeffrey C. Murray
- University of Iowa, Children’s Hospital, Iowa City, Iowa, United States of America
| | - Mary L. Marazita
- Center for Craniofacial and Dental Genetics, School of Dental Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | | | - Jacqueline B. Hetmanski
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
| | - Margaret M. Parker
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
| | - Ping Wang
- Peking University Health Science Center, Beijing, China
| | - Tanda Murray
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
| | - Margaret Taub
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
| | - Shuai Li
- Peking University Health Science Center, Beijing, China
| | - Richard J. Redett
- Johns Hopkins University, School of Medicine, Baltimore, Maryland, United States of America
| | - M. Daniele Fallin
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
| | - Kung Yee Liang
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
- National Yang-Ming University, Taipei, Taiwan
| | | | | | - Vincent Yeow
- KK Women’s & Children’s Hospital, Singapore, Singapore
| | - Xiaoqian Ye
- Wuhan University, School of Stomatology, Wuhan, China
- Mount Sinai Medical Center, New York, New York, United States of America
| | - Hong Wang
- Peking University Health Science Center, Beijing, China
| | | | - Ethylin W. Jabs
- Johns Hopkins University, School of Medicine, Baltimore, Maryland, United States of America
- Mount Sinai Medical Center, New York, New York, United States of America
| | - Bing Shi
- State Key Laboratory of Oral Disease, West China College of Stomatology, Sichuan University, Chengdu, China
| | - Allen J. Wilcox
- NIEHS/NIH, Epidemiology Branch, Durham, North Carolina, United States of America
| | - Sun Ha Jee
- Yonsei University, School of Public Health, Seoul, Korea
| | - Alan F. Scott
- Johns Hopkins University, School of Medicine, Baltimore, Maryland, United States of America
| | - Terri H. Beaty
- Johns Hopkins University, School of Public Health, Baltimore, Maryland, United States of America
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28
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Patel PJ, Beaty TH, Ruczinski I, Murray JC, Marazita ML, Munger RG, Hetmanski JB, Wu T, Murray T, Rose M, Redett RJ, Jin SC, Lie RT, Wu-Chou YH, Wang H, Ye X, Yeow V, Chong S, Jee SH, Shi B, Scott AF. X-linked markers in the Duchenne muscular dystrophy gene associated with oral clefts. Eur J Oral Sci 2013; 121:63-8. [PMID: 23489894 DOI: 10.1111/eos.12025] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/25/2012] [Indexed: 02/01/2023]
Abstract
As part of an international consortium, case-parent trios were collected for a genome-wide association study of isolated, non-syndromic oral clefts, including cleft lip (CL), cleft palate (CP), and cleft lip and palate (CLP). Non-syndromic oral clefts have a complex and heterogeneous etiology. Risk is influenced by genes and environmental factors, and differs markedly by gender. Family-based association tests (FBAT) were used on 14,486 single nucleotide polymorphisms (SNPs) spanning the X chromosome, stratified by type of cleft and racial group. Significant results, even after multiple-comparisons correction, were obtained for the Duchenne muscular dystrophy (DMD) gene, the largest single gene in the human genome, among CL/P (i.e., both CL and CLP combined) trios. When stratified into groups of European and Asian ancestry, stronger signals were obtained for Asian subjects. Although conventional sliding-window haplotype analysis showed no increase in significance, selected combinations of the 25 most significant SNPs in the DMD gene identified four SNPs together that attained genome-wide significance among Asian CL/P trios, raising the possibility of interaction between distant SNPs within the DMD gene.
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29
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Beaty TH, Taub MA, Scott AF, Murray JC, Marazita ML, Schwender H, Parker MM, Hetmanski JB, Balakrishnan P, Mansilla MA, Mangold E, Ludwig KU, Noethen MM, Rubini M, Elcioglu N, Ruczinski I. Confirming genes influencing risk to cleft lip with/without cleft palate in a case-parent trio study. Hum Genet 2013; 132:771-81. [PMID: 23512105 DOI: 10.1007/s00439-013-1283-6] [Citation(s) in RCA: 114] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2012] [Accepted: 02/27/2013] [Indexed: 10/27/2022]
Abstract
A collection of 1,108 case-parent trios ascertained through an isolated, nonsyndromic cleft lip with or without cleft palate (CL/P) was used to replicate the findings from a genome-wide association study (GWAS) conducted by Beaty et al. (Nat Genet 42:525-529, 2010), where four different genes/regions were identified as influencing risk to CL/P. Tagging SNPs for 33 different genes were genotyped (1,269 SNPs). All four of the genes originally identified as showing genome-wide significance (IRF6, ABCA4 and MAF, plus the 8q24 region) were confirmed in this independent sample of trios (who were primarily of European and Southeast Asian ancestry). In addition, eight genes classified as 'second tier' hits in the original study (PAX7, THADA, COL8A1/FILIP1L, DCAF4L2, GADD45G, NTN1, RBFOX3 and FOXE1) showed evidence of linkage and association in this replication sample. Meta-analysis between the original GWAS trios and these replication trios showed PAX7, COL8A1/FILIP1L and NTN1 achieved genome-wide significance. Tests for gene-environment interaction between these 33 genes and maternal smoking found evidence for interaction with two additional genes: GRID2 and ELAVL2 among European mothers (who had a higher rate of smoking than Asian mothers). Formal tests for gene-gene interaction (epistasis) failed to show evidence of statistical interaction in any simple fashion. This study confirms that many different genes influence risk to CL/P.
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Affiliation(s)
- T H Beaty
- Department of Epidemiology, School of Public Health, Johns Hopkins University, 615N Wolfe St., Baltimore, MD 21205, USA.
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Scharpf RB, Beaty TH, Schwender H, Younkin SG, Scott AF, Ruczinski I. Fast detection of de novo copy number variants from SNP arrays for case-parent trios. BMC Bioinformatics 2012; 13:330. [PMID: 23234608 PMCID: PMC3576329 DOI: 10.1186/1471-2105-13-330] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2011] [Accepted: 12/07/2012] [Indexed: 11/10/2022] Open
Abstract
Background In studies of case-parent trios, we define copy number variants (CNVs) in the offspring that differ from the parental copy numbers as de novo and of interest for their potential functional role in disease. Among the leading array-based methods for discovery of de novo CNVs in case-parent trios is the joint hidden Markov model (HMM) implemented in the PennCNV software. However, the computational demands of the joint HMM are substantial and the extent to which false positive identifications occur in case-parent trios has not been well described. We evaluate these issues in a study of oral cleft case-parent trios. Results Our analysis of the oral cleft trios reveals that genomic waves represent a substantial source of false positive identifications in the joint HMM, despite a wave-correction implementation in PennCNV. In addition, the noise of low-level summaries of relative copy number (log R ratios) is strongly associated with batch and correlated with the frequency of de novo CNV calls. Exploiting the trio design, we propose a univariate statistic for relative copy number referred to as the minimum distance that can reduce technical variation from probe effects and genomic waves. We use circular binary segmentation to segment the minimum distance and maximum a posteriori estimation to infer de novo CNVs from the segmented genome. Compared to PennCNV on simulated data, MinimumDistance identifies fewer false positives on average and is comparable to PennCNV with respect to false negatives. Genomic waves contribute to discordance of PennCNV and MinimumDistance for high coverage de novo calls, while highly concordant calls on chromosome 22 were validated by quantitative PCR. Computationally, MinimumDistance provides a nearly 8-fold increase in speed relative to the joint HMM in a study of oral cleft trios. Conclusions Our results indicate that batch effects and genomic waves are important considerations for case-parent studies of de novo CNV, and that the minimum distance is an effective statistic for reducing technical variation contributing to false de novo discoveries. Coupled with segmentation and maximum a posteriori estimation, our algorithm compares favorably to the joint HMM with MinimumDistance being much faster.
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Affiliation(s)
- Robert B Scharpf
- Department of Oncology, Johns Hopkins University, Baltimore, MD, USA.
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31
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Doyle AJ, Doyle JJ, Bessling SL, Maragh S, Lindsay ME, Schepers D, Gillis E, Mortier G, Homfray T, Sauls K, Norris RA, Huso ND, Leahy D, Mohr DW, Caulfield MJ, Scott AF, Destrée A, Hennekam RC, Arn PH, Curry CJ, Van Laer L, McCallion AS, Loeys BL, Dietz HC. Mutations in the TGF-β repressor SKI cause Shprintzen-Goldberg syndrome with aortic aneurysm. Nat Genet 2012; 44:1249-54. [PMID: 23023332 PMCID: PMC3545695 DOI: 10.1038/ng.2421] [Citation(s) in RCA: 190] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2012] [Accepted: 09/04/2012] [Indexed: 01/15/2023]
Abstract
Increased transforming growth factor beta (TGF-β) signaling has been implicated in the pathogenesis of syndromic presentations of aortic aneurysm, including Marfan syndrome (MFS) and Loeys-Dietz syndrome (LDS)1-4. However, the location and character of many of the causal mutations in LDS would intuitively infer diminished TGF-β signaling5. Taken together, these data have engendered controversy regarding the specific role of TGF-β in disease pathogenesis. Shprintzen-Goldberg syndrome (SGS) has considerable phenotypic overlap with MFS and LDS, including aortic aneurysm6-8. We identified causative variation in 10 patients with SGS in the proto-oncogene SKI, a known repressor of TGF-β activity9,10. Cultured patient dermal fibroblasts showed enhanced activation of TGF-β signaling cascades and increased expression of TGF-β responsive genes. Morpholino-induced silencing of SKI paralogs in zebrafish recapitulated abnormalities seen in SGS patients. These data support the conclusion that increased TGF-β signaling is the mechanism underlying SGS and contributes to multiple syndromic presentations of aortic aneurysm.
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Affiliation(s)
- Alexander J Doyle
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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32
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Hansel NN, Ruczinski I, Rafaels N, Sin DD, Daley D, Malinina A, Huang L, Sandford A, Murray T, Kim Y, Vergara C, Heckbert SR, Psaty BM, Li G, Elliott WM, Aminuddin F, Dupuis J, O'Connor GT, Doheny K, Scott AF, Boezen HM, Postma DS, Smolonska J, Zanen P, Mohamed Hoesein FA, de Koning HJ, Crystal RG, Tanaka T, Ferrucci L, Silverman E, Wan E, Vestbo J, Lomas DA, Connett J, Wise RA, Neptune ER, Mathias RA, Paré PD, Beaty TH, Barnes KC. Genome-wide study identifies two loci associated with lung function decline in mild to moderate COPD. Hum Genet 2012; 132:79-90. [PMID: 22986903 DOI: 10.1007/s00439-012-1219-6] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2012] [Accepted: 08/06/2012] [Indexed: 01/11/2023]
Abstract
Accelerated lung function decline is a key COPD phenotype; however, its genetic control remains largely unknown. We performed a genome-wide association study using the Illumina Human660W-Quad v.1_A BeadChip. Generalized estimation equations were used to assess genetic contributions to lung function decline over a 5-year period in 4,048 European American Lung Health Study participants with largely mild COPD. Genotype imputation was performed using reference HapMap II data. To validate regions meeting genome-wide significance, replication of top SNPs was attempted in independent cohorts. Three genes (TMEM26, ANK3 and FOXA1) within the regions of interest were selected for tissue expression studies using immunohistochemistry. Two intergenic SNPs (rs10761570, rs7911302) on chromosome 10 and one SNP on chromosome 14 (rs177852) met genome-wide significance after Bonferroni. Further support for the chromosome 10 region was obtained by imputation, the most significantly associated imputed SNPs (rs10761571, rs7896712) being flanked by observed markers rs10761570 and rs7911302. Results were not replicated in four general population cohorts or a smaller cohort of subjects with moderate to severe COPD; however, we show novel expression of genes near regions of significantly associated SNPS, including TMEM26 and FOXA1 in airway epithelium and lung parenchyma, and ANK3 in alveolar macrophages. Levels of expression were associated with lung function and COPD status. We identified two novel regions associated with lung function decline in mild COPD. Genes within these regions were expressed in relevant lung cells and their expression related to airflow limitation suggesting they may represent novel candidate genes for COPD susceptibility.
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Affiliation(s)
- Nadia N Hansel
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
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Ludwig KU, Mangold E, Herms S, Nowak S, Reutter H, Paul A, Becker J, Herberz R, AlChawa T, Nasser E, Böhmer AC, Mattheisen M, Alblas MA, Barth S, Kluck N, Lauster C, Braumann B, Reich RH, Hemprich A, Pötzsch S, Blaumeiser B, Daratsianos N, Kreusch T, Murray JC, Marazita ML, Ruczinski I, Scott AF, Beaty TH, Kramer FJ, Wienker TF, Steegers-Theunissen RP, Rubini M, Mossey PA, Hoffmann P, Lange C, Cichon S, Propping P, Knapp M, Nöthen MM. Genome-wide meta-analyses of nonsyndromic cleft lip with or without cleft palate identify six new risk loci. Nat Genet 2012; 44:968-71. [PMID: 22863734 DOI: 10.1038/ng.2360] [Citation(s) in RCA: 251] [Impact Index Per Article: 20.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2011] [Accepted: 06/29/2012] [Indexed: 11/09/2022]
Abstract
We have conducted the first meta-analyses for nonsyndromic cleft lip with or without cleft palate (NSCL/P) using data from the two largest genome-wide association studies published to date. We confirmed associations with all previously identified loci and identified six additional susceptibility regions (1p36, 2p21, 3p11.1, 8q21.3, 13q31.1 and 15q22). Analysis of phenotypic variability identified the first specific genetic risk factor for NSCLP (nonsyndromic cleft lip plus palate) (rs8001641; P(NSCLP) = 6.51 × 10(-11); homozygote relative risk = 2.41, 95% confidence interval (CI) 1.84-3.16).
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Murray T, Taub MA, Ruczinski I, Scott AF, Hetmanski JB, Schwender H, Patel P, Zhang TX, Munger RG, Wilcox AJ, Ye X, Wang H, Wu T, Wu-Chou YH, Shi B, Jee SH, Chong S, Yeow V, Murray JC, Marazita ML, Beaty TH. Examining markers in 8q24 to explain differences in evidence for association with cleft lip with/without cleft palate between Asians and Europeans. Genet Epidemiol 2012; 36:392-9. [PMID: 22508319 DOI: 10.1002/gepi.21633] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2012] [Revised: 02/17/2012] [Accepted: 02/23/2012] [Indexed: 12/31/2022]
Abstract
In a recent genome-wide association study (GWAS) from an international consortium, evidence of linkage and association in chr8q24 was much stronger among nonsyndromic cleft lip/palate (CL/P) case-parent trios of European ancestry than among trios of Asian ancestry. We examined marker information content and haplotype diversity across 13 recruitment sites (from Europe, United States, and Asia) separately, and conducted principal components analysis (PCA) on parents. As expected, PCA revealed large genetic distances between Europeans and Asians, and a north-south cline from Korea to Singapore in Asia, with Filipino parents forming a somewhat distinct Southeast Asian cluster. Hierarchical clustering of SNP heterozygosity revealed two major clades consistent with PCA results. All genotyped SNPs giving P < 10(-6) in the allelic transmission disequilibrium test (TDT) showed higher heterozygosity in Europeans than Asians. On average, European ancestry parents had higher haplotype diversity than Asians. Imputing additional variants across chr8q24 increased the strength of statistical evidence among Europeans and also revealed a significant signal among Asians (although it did not reach genome-wide significance). Tests for SNP-population interaction were negative, indicating the lack of strong signal for 8q24 in families of Asian ancestry was not due to any distinct genetic effect, but could simply reflect low power due to lower allele frequencies in Asians.
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Affiliation(s)
- Tanda Murray
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
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Chen Q, Wang H, Hetmanski JB, Zhang T, Ruczinski I, Schwender H, Liang KY, Fallin MD, Redett RJ, Raymond GV, Wu Chou YH, Chen PKT, Yeow V, Chong SS, Cheah FSH, Jabs EW, Scott AF, Beaty TH. BMP4 was associated with NSCL/P in an Asian population. PLoS One 2012; 7:e35347. [PMID: 22514733 PMCID: PMC3325933 DOI: 10.1371/journal.pone.0035347] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2012] [Accepted: 03/14/2012] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND The Bone Morphogenetic Protein 4 gene (BMP4) is located in chromosome 14q22-q23 which has shown evidence of linkage for isolated nonsyndromic cleft lip with or without cleft palate (NSCL/P) in a genome wide linkage analysis of human multiplex families. BMP4 has been shown to play crucial roles in lip and palatal development in animal models. Several candidate gene association analyses also supported its potential risk for NSCL/P, however, results across these association studies have been inconsistent. The aim of the current study was to test for possible association between markers in and around the BMP4 gene and NSCL/P in Asian and Maryland trios. METHODOLOGY/PRINCIPAL FINDINGS Family Based Association Test was used to test for deviation from Mendelian assortment for 12 SNPs in and around BMP4. Nominal significant evidence of linkage and association was seen for three SNPs (rs10130587, rs2738265 and rs2761887) in 221 Asian trios and for one SNP (rs762642) in 76 Maryland trios. Statistical significance still held for rs10130587 after Bonferroni correction (corrected p = 0.019) among the Asian group. Estimated odds ratio for carrying the apparent high risk allele at this SNP was 1.61 (95%CI = 1.20, 2.18). CONCLUSIONS Our results provided further evidence of association between BMP4 and NSCL/P.
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Affiliation(s)
- Qianqian Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Hong Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jacqueline B. Hetmanski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Tianxiao Zhang
- Division of Biology and Biomedical Sciences, Washington University, St. Louis, Missouri, United States of America
| | - Ingo Ruczinski
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Holger Schwender
- Department of Faculty of Statistics, TU Dortmund University, Dortmund, Germany
| | - Kung Yee Liang
- Department of Life Sciences and Institute of Genome Sciences, National Yang-Ming University, Taipei, Taiwan
| | - M. Daniele Fallin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Richard J. Redett
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Gerald V. Raymond
- Kennedy Krieger Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Yah-Huei Wu Chou
- Department of Medical Research, Chang Gung Memorial Hospital, Taipei, Taiwan
| | | | - Vincent Yeow
- Department of Plastic Surgery, K K Women's and Children's Hospital, Singapore, Singapore
| | - Samuel S. Chong
- Department of Pediatrics, National University of Singapore, Singapore, Singapore
| | - Felicia S. H. Cheah
- Department of Pediatrics, National University of Singapore, Singapore, Singapore
| | - Ethylin Wang Jabs
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
- Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine, New York City, New York, United States of America
| | - Alan F. Scott
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Terri H. Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
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Shi M, Murray JC, Marazita ML, Munger RG, Ruczinski I, Hetmanski JB, Wu T, Murray T, Redett RJ, Wilcox AJ, Lie RT, Jabs EW, Wu-Chou YH, Chen PK, Wang H, Ye X, Yeow V, Chong SS, Shi B, Christensen K, Scott AF, Patel P, Cheah F, Beaty TH. Genome wide study of maternal and parent-of-origin effects on the etiology of orofacial clefts. Am J Med Genet A 2012; 158A:784-94. [PMID: 22419666 DOI: 10.1002/ajmg.a.35257] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2011] [Accepted: 12/19/2011] [Indexed: 12/15/2022]
Abstract
We performed a genome wide association analysis of maternally-mediated genetic effects and parent-of-origin (POO) effects on risk of orofacial clefting (OC) using over 2,000 case-parent triads collected through an international cleft consortium. We used log-linear regression models to test individual SNPs. For SNPs with a P-value <10(-5) for maternal genotypic effects, we also applied a haplotype-based method, TRIMM, to extract potential information from clusters of correlated SNPs. None of the SNPs were significant at the genome wide level. Our results suggest neither maternal genome nor POO effects play major roles in the etiology of OC in our sample. This finding is consistent with previous genetic studies and recent population-based cohort studies in Norway and Denmark, which showed no apparent difference between mother-to-offspring and father-to-offspring recurrence of clefting. We, however, cannot completely rule out maternal genome or POO effects as risk factors because very small effects might not be detectable with our sample size, they may influence risk through interactions with environmental exposures or may act through a more complex network of interacting genes. Thus, the most promising SNPs identified by this study may still be worth further investigation.
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Affiliation(s)
- Min Shi
- Biostatistics Branch, NIEHS/NIH, Durham, North Carolina, USA.
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Wang H, Hetmanski JB, Ruczinski I, Liang KY, Fallin MD, Redett RJ, Raymond GV, Chou YHW, Chen PKT, Yeow V, Chong SS, Cheah FS, Jabs EW, Scott AF, Beaty TH. ROR2 gene is associated with risk of non-syndromic cleft palate in an Asian population. Chin Med J (Engl) 2012; 125:476-480. [PMID: 22490406 PMCID: PMC3384720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND The receptor tyrosine kinase-like orphan receptor 2 (ROR2) gene has been recently shown to play important roles in palatal development in animal models and resides in the chromosomal region linked to non syndromic cleft lip with or without cleft palate in humans. The aim of this study was to investigate the possible association between ROR2 gene and non-syndromic oral clefts. METHODS Here we tested 38 eligible single-nucleotide polymorphisms (SNPs) in ROR2 gene in 297 non-syndromic cleft lip with or without cleft palate and in 82 non-syndromic cleft palate case parent trios recruited from Asia and Maryland. Family Based Association Test was used to test for deviation from Mendelian inheritance. Plink software was used to test potential parent of origin effect. Possible maternally mediated in utero effects were assessed using the TRIad Multi-Marker approach under an assumption of mating symmetry in the population. RESULTS Significant evidence of linkage and association was shown for 3 SNPs (rs7858435, rs10820914 and rs3905385) among 57 Asian non-syndromic cleft palate trios in Family Based Association Tests. P values for these 3 SNPs equaled to 0.000068, 0.000115 and 0.000464 respectively which were all less than the significance level (0.05/38 = 0.0013) adjusted by strict Bonferroni correction. Relevant odds ratios for the risk allele were 3.42 (1.80 - 6.50), 3.45 (1.75 - 6.67) and 2.94 (1.56 - 5.56), respectively. Statistical evidence of linkage and association was not shown for study groups other than non-syndromic cleft palate. Neither evidence for parent-of-origin nor maternal genotypic effect was shown for any of the ROR2 markers in our analysis for all study groups. CONCLUSION Our results provided evidence of linkage and association between the ROR2 gene and a gene controlling risk to non-syndromic cleft palate.
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Affiliation(s)
- Hong Wang
- Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
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Wu T, Fallin MD, Shi M, Ruczinski I, Liang KY, Hetmanski JB, Wang H, Ingersoll RG, Huang S, Ye X, Wu-Chou YH, Chen PK, Jabs EW, Shi B, Redett R, Scott AF, Murray JC, Marazita ML, Munger RG, Beaty TH. Evidence of gene-environment interaction for the RUNX2 gene and environmental tobacco smoke in controlling the risk of cleft lip with/without cleft palate. ACTA ACUST UNITED AC 2012; 94:76-83. [PMID: 22241686 DOI: 10.1002/bdra.22885] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2011] [Revised: 11/09/2011] [Accepted: 11/15/2011] [Indexed: 12/20/2022]
Abstract
This study examined the association between 49 markers in the Runt-related transcription factor 2 (RUNX2) gene and nonsyndromic cleft lip with/without cleft palate (CL/P) among 326 Chinese case-parent trios, while considering gene-environment (GxE) interaction and parent-of-origin effects. Five single-nucleotide polymorphisms (SNPs) showed significant evidence of linkage and association with CL/P and these results were replicated in an independent European sample of 825 case-parent trios. We also report compelling evidence for interaction between markers in RUNX2 and environmental tobacco smoke (ETS). Although most marginal SNP effects (i.e., ignoring maternal exposures) were not statistically significant, eight SNPs were significant when considering possible interaction with ETS when testing for gene (G) and GxE interaction simultaneously or when considering GxE alone. Independent samples from European populations showed consistent evidence of significant GxETS interaction at two SNPs (rs6904353 and rs7748231). Our results suggest genetic variation in RUNX2 may influence susceptibility to CL/P through interacting with ETS.
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Affiliation(s)
- Tao Wu
- Peking University School of Public Health, Beijing, China
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Wang H, Zhang T, Wu T, Hetmanski JB, Ruczinski I, Schwender H, Liang KY, Murray T, Fallin MD, Redett RJ, Raymond GV, Jin SC, Chou YHW, Chen PKT, Yeow V, Chong SS, Cheah FSH, Jee SH, Jabs EW, Scott AF, Beaty TH. The FGF and FGFR Gene Family and Risk of Cleft Lip With or Without Cleft Palate. Cleft Palate Craniofac J 2011; 50:96-103. [PMID: 22074045 DOI: 10.1597/11-132] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Background : Isolated, nonsyndromic cleft lip with or without cleft palate is a common human congenital malformation with a complex and heterogeneous etiology. Genes coding for fibroblast growth factors and their receptors (FGF/FGFR genes) are excellent candidate genes. Methods : We tested single-nucleotide polymorphic markers in 10 FGF/FGFR genes (including FGFBP1, FGF2, FGF10, FGF18, FGFR1, FGFR2, FGF19, FGF4, FGF3, and FGF9) for genotypic effects, interactions with one another, and with common maternal environmental exposures in 221 Asian and 76 Maryland case-parent trios ascertained through a child with isolated, nonsyndromic cleft lip with or without cleft palate. Results : Both FGFR1 and FGF19 yielded evidence of linkage and association in the transmission disequilibrium test, confirming previous evidence. Haplotypes of three single-nucleotide polymorphisms in FGFR1 were nominally significant among Asian trios. Estimated odds ratios for individual single-nucleotide polymorphic markers and haplotypes of multiple markers in FGF19 ranged from 1.31 to 1.87. We also found suggestive evidence of maternal genotypic effects for markers in FGF2 and FGF10 among Asian trios. Tests for gene-environment (G × E) interaction between markers in FGFR2 and maternal smoking or multivitamin supplementation yielded significant evidence of G × E interaction separately. Tests of gene-gene (G × G) interaction using Cordell's method yielded significant evidence between single-nucleotide polymorphisms in FGF9 and FGF18, which was confirmed in an independent sample of trios from an international consortium. Conclusion : Our results suggest several genes in the FGF/FGFR family may influence risk for isolated, nonsyndromic cleft lip with or without cleft palate through distinct biological mechanisms.
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Halper-Stromberg E, Frelin L, Ruczinski I, Scharpf R, Jie C, Carvalho B, Hao H, Hetrick K, Jedlicka A, Dziedzic A, Doheny K, Scott AF, Baylin S, Pevsner J, Spencer F, Irizarry RA. Performance assessment of copy number microarray platforms using a spike-in experiment. ACTA ACUST UNITED AC 2011; 27:1052-60. [PMID: 21478196 DOI: 10.1093/bioinformatics/btr106] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
MOTIVATION Changes in the copy number of chromosomal DNA segments [copy number variants (CNVs)] have been implicated in human variation, heritable diseases and cancers. Microarray-based platforms are the current established technology of choice for studies reporting these discoveries and constitute the benchmark against which emergent sequence-based approaches will be evaluated. Research that depends on CNV analysis is rapidly increasing, and systematic platform assessments that distinguish strengths and weaknesses are needed to guide informed choice. RESULTS We evaluated the sensitivity and specificity of six platforms, provided by four leading vendors, using a spike-in experiment. NimbleGen and Agilent platforms outperformed Illumina and Affymetrix in accuracy and precision of copy number dosage estimates. However, Illumina and Affymetrix algorithms that leverage single nucleotide polymorphism (SNP) information make up for this disadvantage and perform well at variant detection. Overall, the NimbleGen 2.1M platform outperformed others, but only with the use of an alternative data analysis pipeline to the one offered by the manufacturer. AVAILABILITY The data is available from http://rafalab.jhsph.edu/cnvcomp/. CONTACT pevsner@jhmi.edu; fspencer@jhmi.edu; rafa@jhu.edu SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Eitan Halper-Stromberg
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
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Beaty TH, Ruczinski I, Murray JC, Marazita ML, Munger RG, Hetmanski JB, Murray T, Redett RJ, Fallin MD, Liang KY, Wu T, Patel PJ, Jin SC, Zhang TX, Schwender H, Wu-Chou YH, Chen PK, Chong SS, Cheah F, Yeow V, Ye X, Wang H, Huang S, Jabs EW, Shi B, Wilcox AJ, Lie RT, Jee SH, Christensen K, Doheny KF, Pugh EW, Ling H, Scott AF. Evidence for gene-environment interaction in a genome wide study of nonsyndromic cleft palate. Genet Epidemiol 2011; 35:469-78. [PMID: 21618603 DOI: 10.1002/gepi.20595] [Citation(s) in RCA: 82] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2011] [Revised: 04/07/2011] [Accepted: 04/19/2011] [Indexed: 11/09/2022]
Abstract
Nonsyndromic cleft palate (CP) is a common birth defect with a complex and heterogeneous etiology involving both genetic and environmental risk factors. We conducted a genome-wide association study (GWAS) using 550 case-parent trios, ascertained through a CP case collected in an international consortium. Family-based association tests of single nucleotide polymorphisms (SNP) and three common maternal exposures (maternal smoking, alcohol consumption, and multivitamin supplementation) were used in a combined 2 df test for gene (G) and gene-environment (G × E) interaction simultaneously, plus a separate 1 df test for G × E interaction alone. Conditional logistic regression models were used to estimate effects on risk to exposed and unexposed children. While no SNP achieved genome-wide significance when considered alone, markers in several genes attained or approached genome-wide significance when G × E interaction was included. Among these, MLLT3 and SMC2 on chromosome 9 showed multiple SNPs resulting in an increased risk if the mother consumed alcohol during the peri-conceptual period (3 months prior to conception through the first trimester). TBK1 on chr. 12 and ZNF236 on chr. 18 showed multiple SNPs associated with higher risk of CP in the presence of maternal smoking. Additional evidence of reduced risk due to G × E interaction in the presence of multivitamin supplementation was observed for SNPs in BAALC on chr. 8. These results emphasize the need to consider G × E interaction when searching for genes influencing risk to complex and heterogeneous disorders, such as nonsyndromic CP.
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Affiliation(s)
- Terri H Beaty
- School of Public Health, Johns Hopkins University, 615 N. Wolfe St., Baltimore, Maryland, USA.
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Ingersoll RG, Hetmanski J, Park JW, Fallin MD, McIntosh I, Wu-Chou YH, Chen PK, Yeow V, Chong SS, Cheah F, Sull JW, Jee SH, Wang H, Wu T, Murray T, Huang S, Ye X, Jabs EW, Redett R, Raymond G, Scott AF, Beaty TH. Association between genes on chromosome 4p16 and non-syndromic oral clefts in four populations. Eur J Hum Genet 2010; 18:726-32. [PMID: 20087401 DOI: 10.1038/ejhg.2009.228] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Isolated cleft lip with or without cleft palate and cleft palate are among the most common human birth defects. Several candidate gene studies on MSX1 have shown significant association between markers in MSX1 and risk of oral clefts, and re-sequencing studies have identified multiple mutations in MSX1 in a small minority of cases, which may account for 1-2% of all isolated oral clefts cases. We explored the 2-Mb region around MSX1, using a marker map of 393 single nucleotide polymorphisms (SNPs) in 297 cleft lip, with or without cleft palate, case-parent trios and 84 cleft palate trios from Maryland, Taiwan, Singapore, and Korea. Both individual markers and haplotypes of two to five SNPs showed several regions yielding statistical evidence for linkage and disequilibrium. Two genes (STK32B and EVC) yielded consistent evidence from cleft lip, with or without cleft palate, trios in all four populations. These two genes plus EVC2 also yielded suggestive evidence for linkage and disequilibrium among cleft palate trios. This analysis suggests that several genes, not just MSX1, in this region may influence risk of oral clefts.
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Affiliation(s)
- Roxann G Ingersoll
- Johns Hopkins Bloomberg School of Public Health, Department of Epidemiology, Baltimore, MD 21287, USA.
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Barnes KC, Grant AV, Baltadzhieva D, Zhang S, Berg T, Shao L, Zambelli-Weiner A, Anderson W, Nelsen A, Pillai S, Yarnall DP, Dienger K, Ingersoll RG, Scott AF, Fallin MD, Mathias RA, Beaty TH, Garcia JGN, Wills-Karp M. Variants in the gene encoding C3 are associated with asthma and related phenotypes among African Caribbean families. Genes Immun 2009; 7:27-35. [PMID: 16355111 DOI: 10.1038/sj.gene.6364267] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Proinflammatory and immunoregulatory products from C3 play a major role in phagocytosis, respiratory burst, and airways inflammation. C3 is critical in adaptive immunity; studies in mice deficient in C3 demonstrate that features of asthma are significantly attenuated in the absence of C3. To test the hypothesis that the C3 gene on chromosome 19p13.3-p13.2 contains variants associated with asthma and related phenotypes, we genotyped 25 single nucleotide polymorphism (SNP) markers distributed at intervals of approximately 1.9 kb within the C3 gene in 852 African Caribbean subjects from 125 nuclear and extended pedigrees. We used the multiallelic test in the family-based association test program to examine sliding windows comprised of 2-6 SNPs. A five-SNP window between markers rs10402876 and rs366510 provided strongest evidence for linkage in the presence of linkage disequilibrium for asthma, high log[total IgE], and high log[IL-13]/[log[IFN-gamma] in terms of global P-values (P = 0.00027, 0.00013, and 0.003, respectively). A three-SNP haplotype GGC for the first three of these markers showed best overall significance for the three phenotypes (P = 0.003, 0.007, 0.018, respectively) considering haplotype-specific tests. Taken together, these results implicate the C3 gene as a priority candidate controlling risk for asthma and allergic disease in this population of African descent.
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Affiliation(s)
- K C Barnes
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
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Sull JW, Liang KY, Hetmanski JB, Fallin MD, Ingersoll RG, Park J, Wu-Chou YH, Chen PK, Chong SS, Cheah F, Yeow V, Park BY, Jee SH, Jabs EW, Redett R, Scott AF, Beaty TH. Maternal transmission effects of the PAX genes among cleft case-parent trios from four populations. Eur J Hum Genet 2009; 17:831-9. [PMID: 19142206 DOI: 10.1038/ejhg.2008.250] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Isolated cleft lip with or without cleft palate (CL/P) is among the most common human birth defects, with a prevalence of 1 in 700 live births. The paired box (PAX) genes have been suggested as candidate genes for CL/P based largely on mouse models; however, few human studies have focused on this gene family. This study tests for association between markers in four PAX genes and CL/P using a case-parent trio design considering parent-of-origin effects. Trios from four populations (76 from Maryland, 146 from Taiwan, 35 from Singapore, and 40 from Korea) were genotyped for 34 single nucleotide polymorphisms (SNPs) in the PAX3, PAX6, PAX7, and PAX9 genes. We performed the transmission disequilibrium test (TDT) on individual SNPs. Parent-of-origin effects were assessed using the transmission asymmetry test (TAT) and the parent-of-origin likelihood ratio test (PO-LRT). TDT analysis showed one SNP (rs766325) in PAX7 yielding evidence of linkage and association when parent-of-origin was not considered, with an OR(transmission)=1.62 (P=0.003), and five SNPs in PAX6 (including two pairs in near perfect linkage disequilibrium). TAT analysis of all trios revealed two SNPs in PAX7 and four SNPs in PAX3 showing significant excess maternal transmission. For these six SNPs, the maternal OR(transmission) ranged between 1.74 and 2.40, and PO-LRT was also significant (P-values=0.035-0.012). When this analysis was limited to trios with male cases, SNPs in PAX7 showed higher maternal OR(transmission) and greater significance. PAX genes may influence the risk of CL/P through maternal effects, possibly imprinting, which seems to be stronger among male cases.
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Affiliation(s)
- Jae Woong Sull
- Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
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Sull JW, Liang KY, Hetmanski JB, Fallin MD, Ingersoll RG, Park J, Wu-Chou YH, Chen PK, Chong SS, Cheah F, Yeow V, Park BY, Jee SH, Jabs EW, Redett R, Jung E, Ruczinski I, Scott AF, Beaty TH. Differential parental transmission of markers in RUNX2 among cleft case-parent trios from four populations. Genet Epidemiol 2008; 32:505-12. [PMID: 18357615 DOI: 10.1002/gepi.20323] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Isolated cleft lip with or without cleft palate (CL/P) is among the most common human birth defects, with a prevalence around 1 in 700 live births. The Runt-related transcription factor 2 (RUNX2) gene has been suggested as a candidate gene for CL/P based largely on mouse models; however, no human studies have focused on RUNX2 as a risk factor for CL/P. This study examines the association between markers in RUNX2 and isolated, nonsyndromic CL/P using a case-parent trio design, while considering parent-of-origin effects. Case-parent trios from four populations (77 from Maryland, 146 from Taiwan, 35 from Singapore, and 40 from Korea) were genotyped for 24 single nucleotide polymorphisms (SNPs) in the RUNX2 gene. We performed the transmission disequilibrium test on individual SNPs. Parent-of-origin effects were assessed using the transmission asymmetry test and the parent-of-origin likelihood ratio test (PO-LRT). When all trios were combined, the transmission asymmetry test revealed a block of 11 SNPs showing excess maternal transmission significant at the P<0.01 level, plus one SNP (rs1934328) showing excess paternal transmission (P=0.002). For the 11 SNPs showing excess maternal transmission, odds ratios of being transmitted to the case from the mother ranged between 3.00 and 4.00. The parent-of-origin likelihood ratio tests for equality of maternal and paternal transmission were significant for three individual SNPs (rs910586, rs2819861, and rs1934328). Thus, RUNX2 appears to influence risk of CL/P through a parent-of-origin effect with excess maternal transmission.
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Affiliation(s)
- Jae Woong Sull
- Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, 615 North Wolfe Street, Baltimore, MD 21205, USA
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Abstract
McKusick's Online Mendelian Inheritance in Man (OMIM®; http://www.ncbi.nlm.nih.gov/omim), a knowledgebase of human genes and phenotypes, was originally published as a book, Mendelian Inheritance in Man, in 1966. The content of OMIM is derived exclusively from the published biomedical literature and is updated daily. It currently contains 18 961 full-text entries describing phenotypes and genes. To date, 2239 genes have mutations causing disease, and 3770 diseases have a molecular basis. Approximately 70 new entries are added and 700 entries are updated per month. OMIM® is expanding content and organization in response to shifting biological paradigms and advancing biotechnology.
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Affiliation(s)
- Joanna Amberger
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Sull JW, Liang KY, Hetmanski JB, Fallin MD, Ingersoll RG, Park JW, Wu-Chou YH, Chen PK, Chong SS, Cheah F, Yeow V, Park BY, Jee SH, Jabs EW, Redett R, Scott AF, Beaty TH. Excess maternal transmission of markers in TCOF1 among cleft palate case-parent trios from three populations. Am J Med Genet A 2008; 146A:2327-31. [PMID: 18688869 DOI: 10.1002/ajmg.a.32302] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Isolated cleft palate is among the most common human birth defects. The TCOF1 gene has been suggested as a candidate gene for cleft palate based on animal models. This study tests for association between markers in TCOF1 and isolated, nonsyndromic cleft palate using a case-parent trio design considering parent-of-origin effects. Case-parent trios from three populations (comprising a total of 81 case-parent trios) were genotyped for single nucleotide polymorphisms (SNPs) in the TCOF1 gene. We used the transmission disequilibrium test and the transmission asymmetry test on individual SNPs. When all trios were combined, the odds ratio for transmission of the minor allele, OR(transmission), was significant for SNP rs15251 (OR = 2.88, P = 0.007), as well as rs2255796 and rs2569062 (OR = 2.08, P = 0.03; OR = 2.43, P = 0.041; respectively) when parent of origin was not considered. The transmission asymmetry test also revealed one SNP (rs15251) showing excess maternal transmission significant at the P = 0.005 level (OR = 6.50). Parent-of-origin effects were assessed using the parent-of-origin likelihood ratio test on both SNPs and haplotypes. While the parent-of-origin likelihood ratio test was only marginally significant for this SNP (P = 0.136), analysis of haplotypes of rs2255796 and rs15251 suggested excess maternal transmission. Therefore, these data suggest TCOF1 may influence risk of cleft palate through a parent-of-origin effect.
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Affiliation(s)
- Jae Woong Sull
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
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Park JW, McIntosh I, Hetmanski JB, Jabs EW, Vander Kolk CA, Wu-Chou YH, Chen PK, Chong SS, Yeow V, Jee SH, Park BY, Fallin MD, Ingersoll R, Scott AF, Beaty TH. Association between IRF6 and nonsyndromic cleft lip with or without cleft palate in four populations. Genet Med 2007; 9:219-27. [PMID: 17438386 PMCID: PMC2846512 DOI: 10.1097/gim.0b013e3180423cca] [Citation(s) in RCA: 86] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
PURPOSE The interferon regulatory factor 6 (IRF6), the gene that causes van der Woude syndrome has been shown to be associated with nonsyndromic cleft lip with or without palate in several populations. This study aimed to confirm the contribution of IRF6 to cleft lip with or without palate risk in additional Asian populations. METHODS A set of 13 single nucleotide polymorphisms was tested for association with cleft lip with or without palate in 77 European American, 146 Taiwanese, 34 Singaporean, and 40 Korean case-parent trios using both the transmission disequilibrium test and conditional logistic regression models. RESULTS Evidence of linkage and association was observed among all four populations; and two specific haplotypes [GC composed of rs2235373-rs2235371 (p.V274I) and AAG of rs599021-rs2235373-rs595918] showed the most significant over- and undertransmission among Taiwanese cases (P=9x10(-6) and P=5x10(-6), respectively). The AGC/CGC diplotype composed of rs599021-rs2235373-rs2013162 showed almost a 7-fold increase in risk among the Taiwanese sample (P<10(-3)). These results confirmed the contribution of this gene to susceptibility of oral clefts across different populations; however, the specific single nucleotide polymorphisms showing statistical significance differed among ethnic groups. CONCLUSION The high-risk genotypes and diplotypes identified here may provide a better understanding of the etiological role of this gene in oral clefts and potential options for genetic counseling.
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Affiliation(s)
- Ji Wan Park
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21205, USA, and Department of Medical Research and Craniofacial Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan
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Chi PB, Duggal P, Kao WHL, Mathias RA, Grant AV, Stockton ML, Garcia JGN, Ingersoll RG, Scott AF, Beaty TH, Barnes KC, Fallin MD. Comparison of SNP tagging methods using empirical data: association study of 713 SNPs on chromosome 12q14.3-12q24.21 for asthma and total serum IgE in an African Caribbean population. Genet Epidemiol 2007; 30:609-19. [PMID: 16830339 DOI: 10.1002/gepi.20172] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Few comparison studies have been performed on single nucleotide polymorphism (SNP) tagging methods to examine their consistency and effectiveness in terms of inferences about association with disease. We applied several SNP tagging methods to SNPs on chromosome 12q (n=713) and compared the utility of these methods to detect association for asthma and serum IgE levels among a sample of African Caribbean families from Barbados selected through asthmatic probands. We found that a high level of information regarding association is retained in Clayton's htSNP, Stram's TagSNP, and de Bakker's Tagger. We also found a high degree of consistency between TagSNP and Tagger. Using this set of 713 SNPs on chromosome 12q, our study provides insight towards analytic strategies for future studies of complex traits.
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Affiliation(s)
- Peter B Chi
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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Beaty TH, Hetmanski JB, Fallin MD, Park JW, Sull JW, McIntosh I, Liang KY, Vanderkolk CA, Redett RJ, Boyadjiev SA, Jabs EW, Chong SS, Cheah FSH, Wu-Chou YH, Chen PK, Chiu YF, Yeow V, Ng ISL, Cheng J, Huang S, Ye X, Wang H, Ingersoll R, Scott AF. Analysis of candidate genes on chromosome 2 in oral cleft case-parent trios from three populations. Hum Genet 2006; 120:501-18. [PMID: 16953426 DOI: 10.1007/s00439-006-0235-9] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2006] [Revised: 07/13/2006] [Accepted: 07/17/2006] [Indexed: 02/07/2023]
Abstract
Isolated oral clefts, including cleft lip with/without cleft palate (CL/P) and cleft palate (CP), have a complex and heterogeneous etiology. Case-parent trios from three populations were used to study genes spanning chromosome 2, where single nucleotide polymorphic (SNP) markers were analyzed individually and as haplotypes. Case-parent trios from three populations (74 from Maryland, 64 from Singapore and 95 from Taiwan) were genotyped for 962 SNPs in 104 genes on chromosome 2, including two well-recognized candidate genes: TGFA and SATB2. Individual SNPs and haplotypes (in sliding windows of 2-5 SNPs) were used to test for linkage and disequilibrium separately in CL/P and CP trios. A novel candidate gene (ZNF533) showed consistent evidence of linkage and disequilibrium in all three populations for both CL/P and CP. SNPs in key regions of ZNF533 showed considerable variability in estimated genotypic odds ratios and their significance, suggesting allelic heterogeneity. Haplotype frequencies for regions of ZNF533 were estimated and used to partition genetic variance into among-and within-population components. Wright's fixation index, a measure of genetic diversity, showed little difference between Singapore and Taiwan compared with Maryland. The tensin-1 gene (TNS1) also showed evidence of linkage and disequilibrium among both CL/P and CP trios in all three populations, albeit at a lower level of significance. Additional genes (VAX2, GLI2, ZHFX1B on 2p; WNT6-WNT10A and COL4A3-COL4A4 on 2q) showed consistent evidence of linkage and disequilibrium only among CL/P trios in all three populations, and TGFA showed significant evidence in two of three populations.
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Affiliation(s)
- T H Beaty
- Johns Hopkins University, Baltimore, MD, USA.
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