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Biagetti B, Valenzuela I, Campos-Martorell A, Campos B, Hernandez S, Giralt M, Díaz-Troyano N, Iniesta-Serrano E, Yeste D, Simó R. Contribution of Dynamic and Genetic Tests for Short Stature Diagnosing: A Case Report. Diagnostics (Basel) 2023; 13:2259. [PMID: 37443653 DOI: 10.3390/diagnostics13132259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 06/27/2023] [Accepted: 06/28/2023] [Indexed: 07/15/2023] Open
Abstract
Genetic tests have led to the discovery of many novel genetic variants related to growth failure, but the clinical significance of some results is not always easy to establish. The aim of this report is to describe both clinical phenotype and genetic characteristics in an adult patient with short stature associated with a homozygous variant in disintegrin and metalloproteinase with thrombospondin motifs type 17 gene (ADAMTS17) combined with a homozygous variant in the GH secretagogue receptor (GHS-R). The index case had severe short stature (SS) (-3.0 SD), small hands and feet, associated with eye disturbances. Genetic tests revealed homozygous compounds for ADAMTS17 responsible for Weill-Marchesani-like syndrome but a homozygous variant in GHS-R was also detected. Dynamic stimulation with an insulin tolerance test showed a normal elevation of GH, while the GH response to macimorelin stimulus was totally flattened. We show the implication of the GHS-R variant and review the molecular mechanisms of both entities. These results allowed us to better interpret the phenotypic spectrum, associated co-morbidities, its implications in dynamic tests, genetic counselling and treatment options not only to the index case but also for her relatives.
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Affiliation(s)
- Betina Biagetti
- Endocrinology Department, Diabetes and Metabolism Research Unit, Vall d'Hebron University Hospital and Vall d'Hebron Research Institute (VHIR), Universidad Autónoma de Barcelona, Reference Networks (ERN), 08035 Barcelona, Spain
| | - Irene Valenzuela
- Department of Clinical and Molecular Genetics and Rare Disease Unit and Medicine Genetics Group, Vall Hebron Research Institute, 08035 Barcelona, Spain
| | - Ariadna Campos-Martorell
- Pediatric Endocrinology Section, Vall d'Hebron University Hospital and Vall d'Hebron Research Institute (VHIR), Universidad Autónoma de Barcelona, 08193 Barcelona, Spain
| | - Berta Campos
- Department of Clinical and Molecular Genetics and Rare Disease Unit and Medicine Genetics Group, Vall Hebron Research Institute, 08035 Barcelona, Spain
| | - Sara Hernandez
- Pediatric Endocrinology Section, Vall d'Hebron University Hospital and Vall d'Hebron Research Institute (VHIR), Universidad Autónoma de Barcelona, 08193 Barcelona, Spain
| | - Marina Giralt
- Department of Biochemistry, Vall d'Hebron University Hospital, 08035 Barcelona, Spain
| | - Noelia Díaz-Troyano
- Department of Biochemistry, Vall d'Hebron University Hospital, 08035 Barcelona, Spain
| | | | - Diego Yeste
- Pediatric Endocrinology Section, Vall d'Hebron University Hospital and Vall d'Hebron Research Institute (VHIR), Universidad Autónoma de Barcelona, 08193 Barcelona, Spain
- CIBER Enfermedades Raras, Instituto Carlos III, 28220 Madrid, Spain
| | - Rafael Simó
- Endocrinology Department, Diabetes and Metabolism Research Unit, Vall d'Hebron University Hospital and Vall d'Hebron Research Institute (VHIR), Universidad Autónoma de Barcelona, Reference Networks (ERN), 08035 Barcelona, Spain
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2
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Conery M, Grant SFA. Human height: a model common complex trait. Ann Hum Biol 2023; 50:258-266. [PMID: 37343163 PMCID: PMC10368389 DOI: 10.1080/03014460.2023.2215546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 04/10/2023] [Accepted: 05/09/2023] [Indexed: 06/23/2023]
Abstract
CONTEXT Like other complex phenotypes, human height reflects a combination of environmental and genetic factors, but is notable for being exceptionally easy to measure. Height has therefore been commonly used to make observations later generalised to other phenotypes though the appropriateness of such generalisations is not always considered. OBJECTIVES We aimed to assess height's suitability as a model for other complex phenotypes and review recent advances in height genetics with regard to their implications for complex phenotypes more broadly. METHODS We conducted a comprehensive literature search in PubMed and Google Scholar for articles relevant to the genetics of height and its comparatibility to other phenotypes. RESULTS Height is broadly similar to other phenotypes apart from its high heritability and ease of measurment. Recent genome-wide association studies (GWAS) have identified over 12,000 independent signals associated with height and saturated height's common single nucleotide polymorphism based heritability of height within a subset of the genome in individuals similar to European reference populations. CONCLUSIONS Given the similarity of height to other complex traits, the saturation of GWAS's ability to discover additional height-associated variants signals potential limitations to the omnigenic model of complex-phenotype inheritance, indicating the likely future power of polygenic scores and risk scores, and highlights the increasing need for large-scale variant-to-gene mapping efforts.
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Affiliation(s)
- Mitchell Conery
- Division of Human Genetics, Center for Spatial and Functional Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine at the University of PA, Philadelphia, PA, USA
- Department of Pharmacology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Struan F A Grant
- Division of Human Genetics, Center for Spatial and Functional Genomics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine at the University of PA, Philadelphia, PA, USA
- Division of Diabetes and Endocrinology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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3
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Idiopathic Short Stature: What to Expect from Genomic Investigations. ENDOCRINES 2023. [DOI: 10.3390/endocrines4010001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Short stature is a common concern for physicians caring for children. In traditional investigations, about 70% of children are healthy, without producing clinical and laboratory findings that justify their growth disorder, being classified as having constitutional short stature or idiopathic short stature (ISS). In such scenarios, the genetic approach has emerged as a great potential method to understand ISS. Over the last 30 years, several genes have been identified as being responsible for isolated short stature, with almost all of them being inherited in an autosomal-dominant pattern. Most of these defects are in genes related to the growth plate, followed by genes related to the growth hormone (GH)–insulin-like growth factor 1 (IGF1) axis and RAS-MAPK pathway. These patients usually do not have a specific phenotype, which hinders the use of a candidate gene approach. Through multigene sequencing analyses, it has been possible to provide an answer for short stature in 10–30% of these cases, with great impacts on treatment and follow-up, allowing the application of the concept of precision medicine in patients with ISS. This review highlights the historic aspects and provides an update on the monogenic causes of idiopathic short stature and suggests what to expect from genomic investigations in this field.
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4
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Mittal M, Gupta P, Kalra S, Bantwal G, Garg MK. Short Stature: Understanding the Stature of Ethnicity in Height Determination. Indian J Endocrinol Metab 2021; 25:381-388. [PMID: 35300450 PMCID: PMC8923322 DOI: 10.4103/ijem.ijem_197_21] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Revised: 07/18/2021] [Accepted: 10/20/2021] [Indexed: 02/02/2023] Open
Abstract
Height is a polygenic trait with a high degree of heritability. Most (95%) children with short stature (defined as height below the third percentile) and poor growth (growth velocity <5 cm/year) do not have an endocrine disorder. The genetic basis for stature potential has been evaluated in recent years and is increasingly being recognized as a major basis for variation in height between different ethnic populations. Numerous genome-wide association studies have identified hundreds of loci linked to human growth. Apart from the genetic factors, various environmental, nutritional, hormonal, and socioeconomic factors also influence the height, and stature of individuals varies between different geographical locations and ethnic groups. Ethnically different populations might respond differently to the same environmental factors and thus the final height in different ethnic groups is different. This review covers in detail the short stature of African Pygmies and Andamanese Islanders along with the possible causative factors responsible for the variation in height in these ethnic groups.
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Affiliation(s)
- Madhukar Mittal
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Parul Gupta
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Sanjay Kalra
- Department of Endocrinology, Bharti Hospital and BRIDE, Karnal, Haryana, India
| | - Ganapathi Bantwal
- Department of Endocrinology, St. John's Medical College Hospital, Bengaluru, Karnataka, India
| | - Mahendra K Garg
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
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5
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Dediu D, Moisik SR, Baetsen WA, Bosman AM, Waters-Rist AL. The vocal tract as a time machine: inferences about past speech and language from the anatomy of the speech organs. Philos Trans R Soc Lond B Biol Sci 2021; 376:20200192. [PMID: 33745306 PMCID: PMC8059537 DOI: 10.1098/rstb.2020.0192] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/05/2020] [Indexed: 12/14/2022] Open
Abstract
While speech and language do not fossilize, they still leave traces that can be extracted and interpreted. Here, we suggest that the shape of the hard structures of the vocal tract may also allow inferences about the speech of long-gone humans. These build on recent experimental and modelling studies, showing that there is extensive variation between individuals in the precise shape of the vocal tract, and that this variation affects speech and language. In particular, we show that detailed anatomical information concerning two components of the vocal tract (the lower jaw and the hard palate) can be extracted and digitized from the osteological remains of three historical populations from The Netherlands, and can be used to conduct three-dimensional biomechanical simulations of vowel production. We could recover the signatures of inter-individual variation between these vowels, in acoustics and articulation. While 'proof-of-concept', this study suggests that older and less well-preserved remains could be used to draw inferences about historic and prehistoric languages. Moreover, it forces us to clarify the meaning and use of the uniformitarian principle in linguistics, and to consider the wider context of language use, including the anatomy, physiology and cognition of the speakers. This article is part of the theme issue 'Reconstructing prehistoric languages'.
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Affiliation(s)
- Dan Dediu
- Laboratoire Dynamique De Langage (DDL) UMR 5596, Université Lumière Lyon 2, Lyon, France
| | - Scott R. Moisik
- Division of Linguistics and Multilingual Studies, Nanyang Technological University, Singapore, Republic of Singapore
| | - W. A. Baetsen
- RAAP Archeologisch Adviesbureau b.v., Leiden, The Netherlands
| | - Abel Marinus Bosman
- DFG Center for Advanced Studies ‘Words, Bones, Genes, Tools: Tracking Linguistic, Cultural, and Biological Trajectories of the Human Past’, Eberhard Karls Universität Tübingen, Tübingen, Baden-Württemberg, Germany
- IDDS Groep b.v., Noordwijk, The Netherlands
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6
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Weiss B, Eberle B, Roeth R, de Bruin C, Lui JC, Paramasivam N, Hinderhofer K, van Duyvenvoorde HA, Baron J, Wit JM, Rappold GA. Evidence That Non-Syndromic Familial Tall Stature Has an Oligogenic Origin Including Ciliary Genes. Front Endocrinol (Lausanne) 2021; 12:660731. [PMID: 34194391 PMCID: PMC8237855 DOI: 10.3389/fendo.2021.660731] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 05/04/2021] [Indexed: 11/13/2022] Open
Abstract
Human growth is a complex trait. A considerable number of gene defects have been shown to cause short stature, but there are only few examples of genetic causes of non-syndromic tall stature. Besides rare variants with large effects and common risk alleles with small effect size, oligogenic effects may contribute to this phenotype. Exome sequencing was carried out in a tall male (height 3.5 SDS) and his parents. Filtered damaging variants with high CADD scores were validated by Sanger sequencing in the trio and three other affected and one unaffected family members. Network analysis was carried out to assess links between the candidate genes, and the transcriptome of murine growth plate was analyzed by microarray as well as RNA Seq. Heterozygous gene variants in CEP104, CROCC, NEK1, TOM1L2, and TSTD2 predicted as damaging were found to be shared between the four tall family members. Three of the five genes (CEP104, CROCC, and NEK1) belong to the ciliary gene family. All genes are expressed in mouse growth plate. Pathway and network analyses indicated close functional connections. Together, these data expand the spectrum of genes with a role in linear growth and tall stature phenotypes.
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Affiliation(s)
- Birgit Weiss
- Department of Human Molecular Genetics, Institute of Human Genetics, Ruprecht Karls University Heidelberg, Heidelberg, Germany
| | - Birgit Eberle
- Department of Human Molecular Genetics, Institute of Human Genetics, Ruprecht Karls University Heidelberg, Heidelberg, Germany
| | - Ralph Roeth
- Department of Human Molecular Genetics, Institute of Human Genetics, Ruprecht Karls University Heidelberg, Heidelberg, Germany
| | - Christiaan de Bruin
- Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Julian C. Lui
- Section on Growth and Development, National Institute of Health, Bethesda, MD, United States
| | - Nagarajan Paramasivam
- Computational Oncology Group, Molecular Diagnostics Program at the National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Katrin Hinderhofer
- Institute of Human Genetics, Ruprecht Karls University Heidelberg, Heidelberg, Germany
| | | | - Jeffrey Baron
- Section on Growth and Development, National Institute of Health, Bethesda, MD, United States
| | - Jan M. Wit
- Department of Pediatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Gudrun A. Rappold
- Department of Human Molecular Genetics, Institute of Human Genetics, Ruprecht Karls University Heidelberg, Heidelberg, Germany
- *Correspondence: Gudrun A. Rappold,
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7
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Vuckovic D, Bao EL, Akbari P, Lareau CA, Mousas A, Jiang T, Chen MH, Raffield LM, Tardaguila M, Huffman JE, Ritchie SC, Megy K, Ponstingl H, Penkett CJ, Albers PK, Wigdor EM, Sakaue S, Moscati A, Manansala R, Lo KS, Qian H, Akiyama M, Bartz TM, Ben-Shlomo Y, Beswick A, Bork-Jensen J, Bottinger EP, Brody JA, van Rooij FJA, Chitrala KN, Wilson PWF, Choquet H, Danesh J, Di Angelantonio E, Dimou N, Ding J, Elliott P, Esko T, Evans MK, Felix SB, Floyd JS, Broer L, Grarup N, Guo MH, Guo Q, Greinacher A, Haessler J, Hansen T, Howson JMM, Huang W, Jorgenson E, Kacprowski T, Kähönen M, Kamatani Y, Kanai M, Karthikeyan S, Koskeridis F, Lange LA, Lehtimäki T, Linneberg A, Liu Y, Lyytikäinen LP, Manichaikul A, Matsuda K, Mohlke KL, Mononen N, Murakami Y, Nadkarni GN, Nikus K, Pankratz N, Pedersen O, Preuss M, Psaty BM, Raitakari OT, Rich SS, Rodriguez BAT, Rosen JD, Rotter JI, Schubert P, Spracklen CN, Surendran P, Tang H, Tardif JC, Ghanbari M, Völker U, Völzke H, Watkins NA, Weiss S, Cai N, Kundu K, Watt SB, Walter K, Zonderman AB, Cho K, Li Y, Loos RJF, Knight JC, Georges M, Stegle O, Evangelou E, Okada Y, Roberts DJ, Inouye M, Johnson AD, Auer PL, Astle WJ, Reiner AP, Butterworth AS, Ouwehand WH, Lettre G, Sankaran VG, Soranzo N. The Polygenic and Monogenic Basis of Blood Traits and Diseases. Cell 2020; 182:1214-1231.e11. [PMID: 32888494 PMCID: PMC7482360 DOI: 10.1016/j.cell.2020.08.008] [Citation(s) in RCA: 303] [Impact Index Per Article: 75.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Revised: 06/29/2020] [Accepted: 08/03/2020] [Indexed: 12/13/2022]
Abstract
Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering variants mediating the associations, and assess the polygenic prediction potential for blood traits and clinical disorders at the interface of complex and Mendelian genetics. These results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation.
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Affiliation(s)
- Dragana Vuckovic
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Erik L Bao
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA; Harvard-MIT Health Sciences and Technology, Harvard Medical School, Boston, MA, 02142, USA
| | - Parsa Akbari
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Caleb A Lareau
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Abdou Mousas
- Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada
| | - Tao Jiang
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK
| | - Ming-Huei Chen
- The Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | | | - Jennifer E Huffman
- Center for Population Genomics, Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02130, USA
| | - Scott C Ritchie
- Department of Public Health and Primary Care, Cambridge Baker Systems Genomics Initiative, University of Cambridge, Cambridge, CB1 8RN, UK; Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, VIC 3004, Australia; Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK
| | - Karyn Megy
- Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK; National Institute for Health Research (NIHR) BioResource, Cambridge University Hospitals, Cambridge, CB2 0PT, UK; National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge, CB2 0PT, UK
| | - Hannes Ponstingl
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Christopher J Penkett
- National Institute for Health Research (NIHR) BioResource, Cambridge University Hospitals, Cambridge, CB2 0PT, UK; Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK
| | - Patrick K Albers
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Emilie M Wigdor
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Saori Sakaue
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan
| | - Arden Moscati
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Regina Manansala
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, 53201, USA
| | - Ken Sin Lo
- Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada
| | - Huijun Qian
- Department of Statistics and Operation Research, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Masato Akiyama
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan; Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8581, Japan
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, WA, 98101, USA
| | - Yoav Ben-Shlomo
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 1QU, UK
| | - Andrew Beswick
- Translational Health Sciences, Musculoskeletal Research Unit, Bristol Medical School, University of Bristol, Bristol, BS10 5NB, UK
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Erwin P Bottinger
- Hasso-Plattner-Institut, Universität Potsdam, Potsdam, 14469, Germany; Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Jennifer A Brody
- Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Frank J A van Rooij
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, 3015 GE, the Netherlands
| | - Kumaraswamy N Chitrala
- Laboratory of Epidemiology and Population Science, National Institute on Aging/NIH, Baltimore, MD, 21224, USA
| | | | - Hélène Choquet
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, 94612, USA
| | - John Danesh
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Emanuele Di Angelantonio
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Niki Dimou
- Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, 69008, France; Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, 45110, Greece
| | - Jingzhong Ding
- Department of Internal Medicine, Section of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK; Imperial Biomedical Research Centre, Imperial College London and Imperial College NHS Healthcare Trust, London, W2 1NY, UK; Medical Research Council Centre for Environment and Health, Imperial College London, London, W2 1PG, UK; UK Dementia Research Institute, Imperial College London, London, WC1E 6BT, UK; Health Data Research UK London, London, W2 1PG, UK
| | - Tõnu Esko
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA
| | - Michele K Evans
- Laboratory of Epidemiology and Population Science, National Institute on Aging/NIH, Baltimore, MD, 21224, USA
| | - Stephan B Felix
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, 17475, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - James S Floyd
- Department of Medicine, University of Washington, Seattle, WA, 98101, USA; Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
| | - Linda Broer
- Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, 3015 GE, the Netherlands
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Michael H Guo
- Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA; Department of Neurology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Qi Guo
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Andreas Greinacher
- Institute for Immunology and Transfusion Medicine, University Medicine Greifswald, Greifswald, 17475, Germany
| | - Jeff Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98101, USA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Joanna M M Howson
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; Novo Nordisk Research Centre Oxford, Oxford, OX3 7FZ, UK
| | - Wei Huang
- Department of Genetics, Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center and Shanghai Industrial Technology Institute (SITI), Shanghai, 201203, China
| | - Eric Jorgenson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, 94612, USA
| | - Tim Kacprowski
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475, Germany; Chair of Experimental Bioinformatics, Research Group Computational Systems Medicine, Technical University of Munich, Freising-Weihenstephan, 85354, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, 33521, Finland; Department of Clinical Physiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan; Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Masahiro Kanai
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, 230-0045, Japan; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Savita Karthikeyan
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Fotios Koskeridis
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, 45110, Greece
| | - Leslie A Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Frederiksberg, 2000, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, 27701, USA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22903, USA
| | - Koichi Matsuda
- Department of Computational Biology and Medical Sciences, Graduate school of Frontier Sciences, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Nina Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Yoshinori Murakami
- Division of Molecular Pathology, The Institute of Medical Science, The University of Tokyo, Tokyo, 108-8639, Japan
| | - Girish N Nadkarni
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Kjell Nikus
- Department of Cardiology, Heart Center, Tampere University Hospital, Tampere, 33521, Finland; Department of Cardiology, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Michael Preuss
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Bruce M Psaty
- Departments of Epidemiology, University of Washington, Seattle, WA, 98101, USA; Department of Medicine, University of Washington, Seattle, WA, 98101, USA; Department of Health Services, University of Washington, Seattle, WA, 98101, USA; Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, 20521, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, 20521, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, 20521, Finland
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, 22903, USA
| | - Benjamin A T Rodriguez
- The Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA
| | - Jonathan D Rosen
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Petra Schubert
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02130, USA
| | - Cassandra N Spracklen
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA; Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst, Amherst, MA, 01002, USA
| | - Praveen Surendran
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; Department of Public Health and Primary Care, Rutherford Fund Fellow, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Hua Tang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Jean-Claude Tardif
- Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada; Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, Quebec, H3T 1J4, Canada
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center Rotterdam, Rotterdam, 3015 GE, the Netherlands; Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, 9177948564, Iran
| | - Uwe Völker
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, 17475, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Nicholas A Watkins
- National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge, CB2 0PT, UK
| | - Stefan Weiss
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, 17475, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, 17475, Germany
| | - Na Cai
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Kousik Kundu
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK
| | - Stephen B Watt
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Klaudia Walter
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Science, National Institute on Aging/NIH, Baltimore, MD, 21224, USA
| | - Kelly Cho
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, 02130, USA; Department of Medicine, Division on Aging, Brigham and Women's Hospital, Boston, MA, 02115, USA; Department of Medicine, Harvard Medical School, Boston, MA, 02115, USA
| | - Yun Li
- Department of Biostatistics, University of North Carolina, Chapel Hill, NC, 27599, USA; Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA; Department of Computer Science, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Ruth J F Loos
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY, 10029, USA
| | - Julian C Knight
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK
| | - Michel Georges
- Unit of Animal Genomics, GIGA-R & Faculty of Veterinary Medicine, University of Liège, Liège, B-4000, Belgium
| | - Oliver Stegle
- European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, CB10 1SA, UK
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK; Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, 45110, Greece
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan; Laboratory of Statistical Immunology, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan
| | - David J Roberts
- BRC Haematology Theme and Radcliffe Department of Medicine, University of Oxford, John Radcliffe Hospital, Oxford, OX3 9DU, UK; NHSBT Blood and Transplant - Oxford Center, John Radcliffe Hospital, Oxford, OX3 9BQ, UK
| | - Michael Inouye
- Department of Public Health and Primary Care, Cambridge Baker Systems Genomics Initiative, University of Cambridge, Cambridge, CB1 8RN, UK; Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, Victoria, VIC 3004, Australia; Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, CB10 1SA, UK; The Alan Turing Institute, London, NW1 2DB, UK
| | - Andrew D Johnson
- The Framingham Heart Study, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Framingham, MA, 01702, USA
| | - Paul L Auer
- Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, 53201, USA
| | - William J Astle
- MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge, CB2 0PT, UK
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, 98109, USA
| | - Adam S Butterworth
- Department of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, University of Cambridge, Cambridge, CB1 8RN, UK; Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, CB2 0QQ, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Willem H Ouwehand
- Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK; National Health Service (NHS) Blood and Transplant, Cambridge Biomedical Campus, Cambridge, CB2 0PT, UK; Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, CB1 8RN, UK
| | - Guillaume Lettre
- Montreal Heart Institute, Montreal, Quebec, H1T 1C8, Canada; Department of Medicine, Faculty of Medicine, Université de Montréal, Montreal, Quebec, H3T 1J4, Canada
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA, 02142, USA.
| | - Nicole Soranzo
- Human Genetics, Wellcome Sanger Institute, Hinxton, CB10 1SA, UK; National Institute for Health Research Blood and Transplant Research Unit (NIHR BTRU) in Donor Health and Genomics, University of Cambridge, Cambridge, CB1 8RN, UK; British Heart Foundation Centre of Excellence, Division of Cardiovascular Medicine, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK; Department of Haematology, University of Cambridge, Cambridge, CB2 0PT, UK.
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8
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Zoccolillo M, Moia C, Comincini S, Cittaro D, Lazarevic D, Pisani KA, Wit JM, Bozzola M. Identification of novel genetic variants associated with short stature in a Baka Pygmies population. Hum Genet 2020; 139:1471-1483. [PMID: 32583022 PMCID: PMC7519921 DOI: 10.1007/s00439-020-02191-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 05/30/2020] [Indexed: 12/13/2022]
Abstract
Human growth is a complex trait determined by genetic factors in combination with external stimuli, including environment, nutrition and hormonal status. In the past, several genome-wide association studies (GWAS) have collectively identified hundreds of genetic variants having a putative effect on determining adult height in different worldwide populations. Theoretically, a valuable approach to better understand the mechanisms of complex traits as adult height is to study a population exhibiting extreme stature phenotypes, such as African Baka Pygmies. After phenotypic characterization, we sequenced the whole exomes of a cohort of Baka Pygmies and their non-Pygmies Bantu neighbors to highlight genetic variants associated with the reduced stature. Whole exome data analysis revealed 29 single nucleotide polymorphisms (SNPs) significantly associated with the reduced height in the Baka group. Among these variants, we focused on SNP rs7629425, located in the 5′-UTR of the Hyaluronidase-2 (HYAL2) gene. The frequency of the alternative allele was significantly increased compared to African and non-African populations. In vitro luciferase assay showed significant differences in transcription modulation by rs7629425 C/T alleles. In conclusion, our results suggested that the HYAL2 gene variants may play a role in the etiology of short stature in Baka Pygmies population.
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Affiliation(s)
- Matteo Zoccolillo
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Claudia Moia
- Department of Biology and Biotechnology "Lazzaro Spallanzani", Università Degli Studi Di Pavia, Pavia, Italy
| | - Sergio Comincini
- Department of Biology and Biotechnology "Lazzaro Spallanzani", Università Degli Studi Di Pavia, Pavia, Italy
| | - Davide Cittaro
- Center for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Dejan Lazarevic
- Center for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Karen A Pisani
- San Raffaele Telethon Institute for Gene Therapy (SR-Tiget), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Jan M Wit
- Pediatrics, Leiden University Medical Center, 2300 RC, Leiden, Netherlands
| | - Mauro Bozzola
- University of Pavia, and Onlus Il Bambino E Il Suo Pediatra, Via XX Settembre 28, Galliate, 28066, Novara, Italy.
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9
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Göpel E, Rockstroh D, Pfäffle H, Schlicke M, Pozza SBD, Gannagé-Yared MH, Gucev Z, Mohn A, Harmel EM, Volkmann J, Weihrauch-Blüher S, Gausche R, Bogatsch H, Beger C, Klammt J, Pfäffle R. A Comprehensive Cohort Analysis Comparing Growth and GH Therapy Response in IGF1R Mutation Carriers and SGA Children. J Clin Endocrinol Metab 2020; 105:5611332. [PMID: 31680140 DOI: 10.1210/clinem/dgz165] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 11/03/2019] [Indexed: 01/21/2023]
Abstract
CONTEXT IGF1 receptor mutations (IGF1RM) are rare; however, patients exhibit pronounced growth retardation without catch-up. Although several case reports exist, a comprehensive statistical analysis investigating growth profile and benefit of recombinant human growth hormone (rhGH) treatment is still missing. OBJECTIVE AND METHODS Here, we compared IGF1RM carriers (n = 23) retrospectively regarding birth parameters, growth response to rhGH therapy, near final height, and glucose/insulin homeostasis to treated children born small for gestational age (SGA) (n = 34). Additionally, health profiles of adult IGF1RM carriers were surveyed by a questionnaire. RESULTS IGF1RM carriers were significantly smaller at rhGH initiation and had a diminished first-year response compared to SGA children (Δ height standard deviation score: 0.29 vs. 0.65), resulting in a lower growth response under therapy. Interestingly, the number of poor therapy responders was three times higher for IGF1RM carriers than for SGA patients (53 % vs. 17 %). However, most IGF1RM good responders showed catch-up growth to the levels of SGA patients. Moreover, we observed no differences in homeostasis model assessment of insulin resistance before treatment, but during treatment insulin resistance was significantly increased in IGF1RM carriers compared to SGA children. Analyses in adult mutation carriers indicated no increased occurrence of comorbidities later in life compared to SGA controls. CONCLUSION In summary, IGF1RM carriers showed a more pronounced growth retardation and lower response to rhGH therapy compared to non-mutation carriers, with high individual variability. Therefore, a critical reevaluation of success should be performed periodically. In adulthood, we could not observe a significant influence of IGF1RM on metabolism and health of carriers.
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Affiliation(s)
- Eric Göpel
- Integrated Research and Treatment Center (IFB) Adiposity Diseases, University of Leipzig, Leipzig, Germany
- Center for Pediatric Research Leipzig, University Hospital for Children & Adolescents, University of Leipzig, Leipzig, Germany
| | - Denise Rockstroh
- Center for Pediatric Research Leipzig, University Hospital for Children & Adolescents, University of Leipzig, Leipzig, Germany
| | - Heike Pfäffle
- Center for Pediatric Research Leipzig, University Hospital for Children & Adolescents, University of Leipzig, Leipzig, Germany
| | - Marina Schlicke
- Center for Pediatric Research Leipzig, University Hospital for Children & Adolescents, University of Leipzig, Leipzig, Germany
| | | | | | - Zoran Gucev
- University Clinic of Child Diseases, Faculty of Medicine, Ss. Cyril and Methodius University of Skopje, Skopje, Republic of North Macedonia
| | - Angelika Mohn
- Department of Pediatrics Center of Excellence on Aging, "G. D'Annunzio" University Foundation, Chieti, Italy
| | - Eva-Maria Harmel
- Medical Center for Internal Medicine, Klinikum Ernst von Bergmann, Potsdam, Germany
| | - Julia Volkmann
- Pediatric Cardiology, Leipzig Heart Center, Leipzig, Germany
| | - Susann Weihrauch-Blüher
- Integrated Research and Treatment Center (IFB) Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Ruth Gausche
- Growth Network CrescNet, University of Leipzig, Leipzig, Germany
| | | | - Christoph Beger
- Growth Network CrescNet, University of Leipzig, Leipzig, Germany
| | - Jürgen Klammt
- Center for Pediatric Research Leipzig, University Hospital for Children & Adolescents, University of Leipzig, Leipzig, Germany
- MVZ Labor Dr. Reising-Ackermann und Kollegen GbR, Leipzig, Germany
| | - Roland Pfäffle
- Center for Pediatric Research Leipzig, University Hospital for Children & Adolescents, University of Leipzig, Leipzig, Germany
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10
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Liu X, Hu G, Ye J, Ye B, Shen N, Tao Y, Zhang X, Fan Y, Liu H, Zhang Z, Fang D, Gu X, Mo X, Yu Y. De Novo ARID1B mutations cause growth delay associated with aberrant Wnt/β-catenin signaling. Hum Mutat 2020; 41:1012-1024. [PMID: 31981384 DOI: 10.1002/humu.23990] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 12/25/2019] [Accepted: 01/19/2020] [Indexed: 12/20/2022]
Abstract
Haploinsufficiency of ARID1B (AT-rich interaction domain 1B) has been involved in autism spectrum disorder, nonsyndromic and syndromic intellectual disability, and corpus callosum agenesis. Growth impairment is a major clinical feature caused by ARID1B mutations; however, the mechanistic link has not been elucidated. Here, we confirm that growth delay is a common characteristic of patients with ARID1B mutations, which may be associated with dysregulation of the Wnt/β-catenin signaling pathway. An analysis of patients harboring pathogenic variants of ARID1B revealed that nearly half had short stature and nearly all had below-average height. Moreover, the percentage of patients with short stature increased with age. Knockdown of arid1b in zebrafish embryos markedly reduced body length and perturbed the expression of both chondrogenic and osteogenic genes including sox9a, col2a1a, runx2b, and col10a1. Knockout of Arid1b in chondrogenic ATDC5 cells inhibited chondrocyte proliferation and differentiation. Finally, Wnt/β-catenin signaling was perturbed in Arid1b-depleted zebrafish embryos and Arid1b knockout ATDC5 cells. These data indicate that ARID1B modulates bone growth possibly via regulation of the Wnt/β-catenin pathway, and may be an appropriate target for gene therapy in disorders of growth and development.
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Affiliation(s)
- Xiaomin Liu
- Department of Pediatric Endocrinology/Genetics, Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guorui Hu
- Department of Pediatric Endocrinology/Genetics, Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Ye
- Department of Pediatric Endocrinology/Genetics, Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bin Ye
- Department of Pediatric Internal Medicine, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China
| | - Nan Shen
- The Laboratory of Pediatric Infectious Diseases, Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yue Tao
- The Laboratory of Pediatric Infectious Diseases, Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xia Zhang
- Department of Pediatric Endocrinology/Genetics, Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanjie Fan
- Department of Pediatric Endocrinology/Genetics, Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huili Liu
- Department of Pediatric Endocrinology/Genetics, Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhigang Zhang
- Department of Pediatric Internal Medicine, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China
| | - Danfeng Fang
- Department of Pediatric Internal Medicine, Taizhou Central Hospital, Taizhou University Hospital, Taizhou, China
| | - Xuefan Gu
- Department of Pediatric Endocrinology/Genetics, Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xi Mo
- The Laboratory of Pediatric Infectious Diseases, Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongguo Yu
- Department of Pediatric Endocrinology/Genetics, Xinhua Hospital, Shanghai Institute for Pediatric Research, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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11
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MacRae CA. Closing the 'phenotype gap' in precision medicine: improving what we measure to understand complex disease mechanisms. Mamm Genome 2019; 30:201-211. [PMID: 31428846 DOI: 10.1007/s00335-019-09810-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 06/30/2019] [Indexed: 10/26/2022]
Abstract
The central concept underlying precision medicine is a mechanistic understanding of each disease and its response to therapy sufficient to direct a specific intervention. To execute on this vision requires parsing incompletely defined disease syndromes into discrete mechanistic subsets and developing interventions to precisely address each of these etiologically distinct entities. This will require substantial adjustment of traditional paradigms which have tended to aggregate high-level phenotypes with very different etiologies. In the current environment, where diagnoses are not mechanistic, drug development has become so expensive that it is now impractical to imagine the cost-effective creation of new interventions for many prevalent chronic conditions. The vision of precision medicine also argues for a much more seamless integration of research and development with clinical care, where shared taxonomies will enable every clinical interaction to inform our collective understanding of disease mechanisms and drug responses. Ideally, this would be executed in ways that drive real-time and real-world discovery, innovation, translation, and implementation. Only in oncology, where at least some of the biology is accessible through surgical excision of the diseased tissue or liquid biopsy, has "co-clinical" modeling proven feasible. In most common germline disorders, while genetics often reveal the causal mutations, there still remain substantial barriers to efficient disease modeling. Aggregation of similar disorders under single diagnostic labels has directly contributed to the paucity of etiologic and mechanistic understanding by directly reducing the resolution of any subsequent studies. Existing clinical phenotypes are typically anatomic, physiologic, or histologic, and result in a substantial mismatch in information content between the phenomes in humans or in animal 'models' and the variation in the genome. This lack of one-to-one mapping of discrete mechanisms between disease and animal models causes a failure of translation and is one form of 'phenotype gap.' In this review, we will focus on the origins of the phenotyping deficit and approaches that may be considered to bridge the gap, creating shared taxonomies between human diseases and relevant models, using cardiovascular examples.
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Affiliation(s)
- Calum A MacRae
- Cardiovascular Medicine, Genetics and Network Medicine Divisions, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Hale 7016, 75 Francis Street, Boston, MA, 02115, USA.
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12
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Collett-Solberg PF, Jorge AAL, Boguszewski MCS, Miller BS, Choong CSY, Cohen P, Hoffman AR, Luo X, Radovick S, Saenger P. Growth hormone therapy in children; research and practice - A review. Growth Horm IGF Res 2019; 44:20-32. [PMID: 30605792 DOI: 10.1016/j.ghir.2018.12.004] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Accepted: 12/24/2018] [Indexed: 01/15/2023]
Abstract
Short stature remains the most common reason for referral to a pediatric Endocrinologist and its management remains a challenge. One of the main controversies is the diagnosis of idiopathic short stature and the role of new technologies for genetic investigation of children with inadequate growth. Complexities in management of children with short stature includes selection of who should receive interventions such as recombinant human growth hormone, and how should this agent dose be adjusted during treatment. Should anthropometrical data be the primary determinant or should biochemical and genetic data be used to improve growth response and safety? Furthermore, what is considered a suboptimal response to growth hormone therapy and how should this be managed? Treatment of children with short stature remains a "hot" topic and more data is needed in several areas. These issues are reviewed in this paper.
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Affiliation(s)
- Paulo Ferrez Collett-Solberg
- Pediatric Endocrinology, Departamento de Medicina Interna, Faculdade de Ciências Médicas, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.
| | - Alexander A L Jorge
- Faculdade de Medicina, Universidade de São Paulo (FMUSP), the Endocrinology Division/Genetic Endocrinology Unit (LIM 25), Brazil.
| | | | - Bradley S Miller
- Pediatric Endocrinology, University of Minnesota Masonic Children's Hospital, USA.
| | - Catherine Seut Yhoke Choong
- Division of Pediatrics School of Medicine, Perth Childrens Hospital, University of Western Australia, Australia.
| | - Pinchas Cohen
- Dean, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
| | - Andrew R Hoffman
- Senior Vice Chair for Academic Affairs, Department of Medicine, Stanford University, USA.
| | - Xiaoping Luo
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Sally Radovick
- Department of Pediatrics, Senior Associate Dean for Clinical and Translational Research, Robert Wood Johnson Medical School, USA.
| | - Paul Saenger
- New York University Winthrop Hospital, 101 Mineola Boulevard, Mineola, NY 11201, USA.
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13
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Grandy R, Tomaz RA, Vallier L. Modeling Disease with Human Inducible Pluripotent Stem Cells. ANNUAL REVIEW OF PATHOLOGY-MECHANISMS OF DISEASE 2018; 14:449-468. [PMID: 30355153 DOI: 10.1146/annurev-pathol-020117-043634] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Understanding the physiopathology of disease remains an essential step in developing novel therapeutics. Although animal models have certainly contributed to advancing this enterprise, their limitation in modeling all the aspects of complex human disorders is one of the major challenges faced by the biomedical research field. Human induced pluripotent stem cells (hiPSCs) derived from patients represent a great opportunity to overcome this deficiency because these cells cover the genetic diversity needed to fully model human diseases. Here, we provide an overview of the history of hiPSC technology and discuss common challenges and approaches that we and others have faced when using hiPSCs to model disease. Our emphasis is on liver disease, and consequently, we review the progress made using this technology to produce functional liver cells in vitro and how these systems are being used to recapitulate a diversity of developmental, metabolic, genetic, and infectious liver disorders.
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Affiliation(s)
- Rodrigo Grandy
- Wellcome and MRC Cambridge Stem Cell Institute, Anne McLaren Laboratory, University of Cambridge, Cambridge CB2 0SZ, United Kingdom; .,Department of Surgery, University of Cambridge, Cambridge CB2 0SZ, United Kingdom
| | - Rute A Tomaz
- Wellcome and MRC Cambridge Stem Cell Institute, Anne McLaren Laboratory, University of Cambridge, Cambridge CB2 0SZ, United Kingdom; .,Department of Surgery, University of Cambridge, Cambridge CB2 0SZ, United Kingdom
| | - Ludovic Vallier
- Wellcome and MRC Cambridge Stem Cell Institute, Anne McLaren Laboratory, University of Cambridge, Cambridge CB2 0SZ, United Kingdom; .,Department of Surgery, University of Cambridge, Cambridge CB2 0SZ, United Kingdom
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14
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Montalbano A, Juergensen L, Fukami M, Thiel CT, Hauer NH, Roeth R, Weiss B, Naiki Y, Ogata T, Hassel D, Rappold GA. Functional missense and splicing variants in the retinoic acid catabolizing enzyme CYP26C1 in idiopathic short stature. Eur J Hum Genet 2018; 26:1113-1120. [PMID: 29706635 DOI: 10.1038/s41431-018-0148-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 03/19/2018] [Accepted: 03/27/2018] [Indexed: 11/09/2022] Open
Abstract
Height is a complex quantitative trait with a high heritability. Short stature is diagnosed when height is significantly below the average of the general population for that person's age and sex. We have recently found that the retinoic acid degrading enzyme CYP26C1 modifies SHOX deficiency phenotypes toward more severe clinical manifestations. Here, we asked whether damaging variants in CYP26C1 alone could lead to short stature. We performed exome and Sanger sequencing to analyze 856 individuals with short stature where SHOX deficiency was previously excluded. Three different damaging missense variants and one splicing variant were identified in six independent individuals; the functional significance of the identified variants was tested in vitro or in vivo using zebrafish as a model. The genetic and functional data reported here indicate that CYP26C1 represents a novel gene underlying growth disorders and that damaging variants in the absence of SHOX variants can lead to short stature.
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Affiliation(s)
- Antonino Montalbano
- Department of Human Molecular Genetics, Heidelberg University, 69120, Heidelberg, Germany
| | - Lonny Juergensen
- Department of Internal Medicine III - Cardiology, Heidelberg University, 69120, Heidelberg, Germany
| | - Maki Fukami
- Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo, 157-8535, Japan
| | - Christian T Thiel
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Nadine H Hauer
- Institute of Human Genetics, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054, Erlangen, Germany
| | - Ralph Roeth
- Department of Human Molecular Genetics, Heidelberg University, 69120, Heidelberg, Germany
| | - Birgit Weiss
- Department of Human Molecular Genetics, Heidelberg University, 69120, Heidelberg, Germany
| | - Yasuhiro Naiki
- Division of Endocrinology and Metabolism, National Center for Child Health and Development, Tokyo, 157-8535, Japan
| | - Tsutomu Ogata
- Department of Pediatrics, Hamamatsu University School of Medicine, Hamamatsu, 431-3192, Japan
| | - David Hassel
- Department of Internal Medicine III - Cardiology, Heidelberg University, 69120, Heidelberg, Germany
| | - Gudrun A Rappold
- Department of Human Molecular Genetics, Heidelberg University, 69120, Heidelberg, Germany.
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15
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Janssen R, Moisik SR, Dediu D. Modelling human hard palate shape with Bézier curves. PLoS One 2018; 13:e0191557. [PMID: 29447175 PMCID: PMC5813942 DOI: 10.1371/journal.pone.0191557] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Accepted: 01/08/2018] [Indexed: 11/18/2022] Open
Abstract
People vary at most levels, from the molecular to the cognitive, and the shape of the hard palate (the bony roof of the mouth) is no exception. The patterns of variation in the hard palate are important for the forensic sciences and (palaeo)anthropology, and might also play a role in speech production, both in pathological cases and normal variation. Here we describe a method based on Bézier curves, whose main aim is to generate possible shapes of the hard palate in humans for use in computer simulations of speech production and language evolution. Moreover, our method can also capture existing patterns of variation using few and easy-to-interpret parameters, and fits actual data obtained from MRI traces very well with as little as two or three free parameters. When compared to the widely-used Principal Component Analysis (PCA), our method fits actual data slightly worse for the same number of degrees of freedom. However, it is much better at generating new shapes without requiring a calibration sample, its parameters have clearer interpretations, and their ranges are grounded in geometrical considerations.
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Affiliation(s)
- Rick Janssen
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Scott R. Moisik
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Linguistics and Multilingual Studies, Nanyang Technological University, Singapore, Singapore
| | - Dan Dediu
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
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16
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Abstract
Adult height and growth patterns are largely genetically programmed. Studies in twins have indicated that the heritability of height is high (>80%), suggesting that genetic variation is the main determinant of stature. Height exhibits a normal (Gaussian) distribution according to sex, age, and ancestry. Short stature is usually defined as a height which is 2 standard deviations (S.D.) less than the mean height of a specific population. This definition includes 2.3% of the population and usually includes healthy individuals. In this group of short stature non-syndromic conditions, the genetic influence occurs polygenically or oligogenically. As a rule, each common genetic variant accounts for a small effect (1mm) on individual height variation. Recently, several studies demonstrated that some rare variants can cause greater effect on height, without causing a syndromic condition. In more extreme cases, height SDS below 2.5 or 3 (which would comprise approximately 0.6 and 0.1% of the population, respectively) is frequently associated with syndromic conditions and are usually caused by a monogenic defect. More than 1,000 inherited/genetic diseases have growth disorder as an important phenotype. These conditions are usually responsible for syndromic short stature. In the coming years, we expect to discover several genetic causes of short stature, thereby explaining the phenotype of what we currently classify as short stature of unknown cause. These discoveries will have a profound impact on the follow-up and treatment of these children.
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Affiliation(s)
- Michelle Grunauer
- Pediatric Intensive Care Unit, Hospital de los Valles, Escuela de Medicina, Universidad San Francisco de Quito (USFQ), Quito, Ecuador
| | - Alexander A L Jorge
- Unidade de Endocrinologia Genetica (LIM25), Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo (FMUSP), Sao Paulo, Brazil.
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17
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Kamien B, Ronan A, Poke G, Sinnerbrink I, Baynam G, Ward M, Gibson WT, Dudding-Byth T, Scott RJ. A Clinical Review of Generalized Overgrowth Syndromes in the Era of Massively Parallel Sequencing. Mol Syndromol 2018; 9:70-82. [PMID: 29593474 DOI: 10.1159/000484532] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/23/2017] [Indexed: 12/22/2022] Open
Abstract
The overgrowth syndromes are important to diagnose, not just for accurate genetic counseling, but also for knowledge surrounding cancer surveillance and prognosis. There has been a recent expansion in the number of genes associated with a mendelian overgrowth phenotype, so this review updates previous classifications of overgrowth syndromes. We also describe a clinical and molecular approach to the investigation of individuals presenting with overgrowth. This review aims to assist the clinical diagnosis of generalized overgrowth syndromes by outlining the salient features of well-known overgrowth syndromes alongside the many syndromes that have been discovered and classified more recently. We provide key clinical "handles" to aid clinical diagnosis and a list of genes to aid with panel design when using next generation sequencing, which we believe is frequently needed due to the overlapping phenotypic features seen between overgrowth syndromes.
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Affiliation(s)
- Benjamin Kamien
- Hunter Genetics, Perth, WA, Australia.,School of Medicine and Public Health, The University of Newcastle, Perth, WA, Australia.,School of Biomedical Sciences and Pharmacy, The University of Newcastle, Newcastle, NSW, Australia
| | - Anne Ronan
- Hunter Genetics, Perth, WA, Australia.,School of Medicine and Public Health, The University of Newcastle, Perth, WA, Australia
| | - Gemma Poke
- Department of Clinical Genetics, Capital & Coast District Health Board, Wellington, New Zealand
| | - Ingrid Sinnerbrink
- Department of Clinical Genetics, Nepean Hospital, Perth, WA, Australia.,Nepean Clinical School, University of Sydney, Penrith, NSW, Australia
| | - Gareth Baynam
- Genetic Services of Western Australia, Newcastle, NSW, Australia.,Western Australian Register of Developmental Anomalies, Perth, WA, Australia.,Office of Population Health Genomics, Public Health Division, Department of Health, Government of Western Australia, Perth, WA, Australia.,School of Paediatrics and Child Health, University of Western Australia, Perth, WA, Australia.,Institute for Immunology and Infectious Diseases, Murdoch University, Perth, WA, Australia.,Telethon Kids Institute, University of Western Australia, Perth, WA, Australia.,Spatial Sciences, Department of Science and Engineering, Curtin University, Perth, WA, Australia
| | - Michelle Ward
- Genetic Services of Western Australia, Newcastle, NSW, Australia
| | - William T Gibson
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.,BC Children's Hospital Research Institute, Vancouver, BC, Canada
| | - Tracy Dudding-Byth
- Hunter Genetics, Perth, WA, Australia.,GrowUpWell Priority Research Center, Perth, WA, Australia.,School of Medicine and Public Health, The University of Newcastle, Perth, WA, Australia.,Hunter Medical Research Institute, Perth, WA, Australia
| | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Newcastle, NSW, Australia.,Molecular Pathology, Hunter Area Pathology Service, Perth, WA, Australia
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18
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Humanity in a Dish: Population Genetics with iPSCs. Trends Cell Biol 2017; 28:46-57. [PMID: 29054332 DOI: 10.1016/j.tcb.2017.09.006] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2017] [Revised: 09/26/2017] [Accepted: 09/28/2017] [Indexed: 12/17/2022]
Abstract
Induced pluripotent stem cells (iPSCs) are powerful tools for investigating the relationship between genotype and phenotype. Recent publications have described iPSC cohort studies of common genetic variants and their effects on gene expression and cellular phenotypes. These in vitro quantitative trait locus (QTL) studies are the first experiments in a new paradigm with great potential: iPSC-based functional population genetic studies. iPSC collections from large cohorts are currently under development to facilitate the next wave of these studies, which have the potential to discover the effects of common genetic variants on cellular phenotypes and to uncover the molecular basis of common genetic diseases. Here, we describe the recent advances in this developing field, and provide a road map for future in vitro functional population genetic studies and trial-in-a-dish experiments.
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19
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Belbin GM, Odgis J, Sorokin EP, Yee MC, Kohli S, Glicksberg BS, Gignoux CR, Wojcik GL, Van Vleck T, Jeff JM, Linderman M, Schurmann C, Ruderfer D, Cai X, Merkelson A, Justice AE, Young KL, Graff M, North KE, Peters U, James R, Hindorff L, Kornreich R, Edelmann L, Gottesman O, Stahl EE, Cho JH, Loos RJ, Bottinger EP, Nadkarni GN, Abul-Husn NS, Kenny EE. Genetic identification of a common collagen disease in puerto ricans via identity-by-descent mapping in a health system. eLife 2017; 6:25060. [PMID: 28895531 PMCID: PMC5595434 DOI: 10.7554/elife.25060] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Accepted: 08/09/2017] [Indexed: 11/16/2022] Open
Abstract
Achieving confidence in the causality of a disease locus is a complex task that often requires supporting data from both statistical genetics and clinical genomics. Here we describe a combined approach to identify and characterize a genetic disorder that leverages distantly related patients in a health system and population-scale mapping. We utilize genomic data to uncover components of distant pedigrees, in the absence of recorded pedigree information, in the multi-ethnic BioMe biobank in New York City. By linking to medical records, we discover a locus associated with both elevated genetic relatedness and extreme short stature. We link the gene, COL27A1, with a little-known genetic disease, previously thought to be rare and recessive. We demonstrate that disease manifests in both heterozygotes and homozygotes, indicating a common collagen disorder impacting up to 2% of individuals of Puerto Rican ancestry, leading to a better understanding of the continuum of complex and Mendelian disease. Diseases often run in families. These disease are frequently linked to changes in DNA that are passed down through generations. Close family members may share these disease-causing mutations; so may distant relatives who inherited the same mutation from a common ancestor long ago. Geneticists use a method called linkage mapping to trace a disease found in multiple members of a family over generations to genetic changes in a shared ancestor. This allows scientists to pinpoint the exact place in the genome the disease-causing mutation occurred. Using computer algorithms, scientists can apply the same technique to identify mutations that distant relatives inherited from a common ancestor. Belbin et al. used this computational technique to identify a mutation that may cause unusually short stature or bone and joint problems in up to 2% of people of Puerto Rican descent. In the experiments, the genomes of about 32,000 New Yorkers who have volunteered to participate in the BioMe Biobank and their health records were used to search for genetic changes linked to extremely short stature. The search revealed that people who inherited two copies of this mutation from their parents were likely to be extremely short or to have bone and joint problems. People who inherited one copy had an increased likelihood of joint or bone problems. This mutation affects a gene responsible for making a form of protein called collagen that is important for bone growth. The analysis suggests the mutation first arose in a Native American ancestor living in Puerto Rico around the time that European colonization began. The mutation had previously been linked to a disorder called Steel syndrome that was thought to be rare. Belbin et al. showed this condition is actually fairly common in people whose ancestors recently came from Puerto Rico, but may often go undiagnosed by their physicians. The experiments emphasize the importance of including diverse populations in genetic studies, as studies of people of predominantly European descent would likely have missed the link between this disease and mutation.
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Affiliation(s)
- Gillian Morven Belbin
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.,The Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Jacqueline Odgis
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Elena P Sorokin
- Department of Genetics, Stanford University School of Medicine, Stanford, United States
| | - Muh-Ching Yee
- Department of Plant Biology, Carnegie Institution for Science, Stanford, United States
| | - Sumita Kohli
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Benjamin S Glicksberg
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.,The Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, United States.,Harris Center for Precision Wellness, Icahn School of Medicine at Mt Sinai, New York, United States
| | - Christopher R Gignoux
- Department of Genetics, Stanford University School of Medicine, Stanford, United States
| | - Genevieve L Wojcik
- Department of Genetics, Stanford University School of Medicine, Stanford, United States
| | - Tielman Van Vleck
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Janina M Jeff
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Michael Linderman
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.,The Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Douglas Ruderfer
- Broad Institute, Cambridge, United States.,Division of Psychiatric Genomics, Icahn School of Medicine at Mt Sinai, New York, United States.,Center for Statistical Genetics, Icahn School of Medicine at Mt Sinai, New York, United States
| | - Xiaoqiang Cai
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Amanda Merkelson
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Anne E Justice
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Kristin L Young
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Misa Graff
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, United States
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, United States.,Department of Epidemiology, University of Washington School of Public Health, Seattle, United States
| | - Regina James
- National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, United States
| | - Lucia Hindorff
- National Human Genome Research Institute, National Institutes of Health, Bethesda, United States
| | - Ruth Kornreich
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Lisa Edelmann
- Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Omri Gottesman
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Eli Ea Stahl
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.,The Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, United States.,Harris Center for Precision Wellness, Icahn School of Medicine at Mt Sinai, New York, United States.,Broad Institute, Cambridge, United States
| | - Judy H Cho
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.,Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Ruth Jf Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.,The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Erwin P Bottinger
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Girish N Nadkarni
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Noura S Abul-Husn
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.,The Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, United States
| | - Eimear E Kenny
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, United States.,Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, United States.,The Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, United States.,Center for Statistical Genetics, Icahn School of Medicine at Mt Sinai, New York, United States
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20
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Tachmazidou I, Süveges D, Min JL, Ritchie GRS, Steinberg J, Walter K, Iotchkova V, Schwartzentruber J, Huang J, Memari Y, McCarthy S, Crawford AA, Bombieri C, Cocca M, Farmaki AE, Gaunt TR, Jousilahti P, Kooijman MN, Lehne B, Malerba G, Männistö S, Matchan A, Medina-Gomez C, Metrustry SJ, Nag A, Ntalla I, Paternoster L, Rayner NW, Sala C, Scott WR, Shihab HA, Southam L, St Pourcain B, Traglia M, Trajanoska K, Zaza G, Zhang W, Artigas MS, Bansal N, Benn M, Chen Z, Danecek P, Lin WY, Locke A, Luan J, Manning AK, Mulas A, Sidore C, Tybjaerg-Hansen A, Varbo A, Zoledziewska M, Finan C, Hatzikotoulas K, Hendricks AE, Kemp JP, Moayyeri A, Panoutsopoulou K, Szpak M, Wilson SG, Boehnke M, Cucca F, Di Angelantonio E, Langenberg C, Lindgren C, McCarthy MI, Morris AP, Nordestgaard BG, Scott RA, Tobin MD, Wareham NJ, Burton P, Chambers JC, Smith GD, Dedoussis G, Felix JF, Franco OH, Gambaro G, Gasparini P, Hammond CJ, Hofman A, Jaddoe VWV, Kleber M, Kooner JS, Perola M, Relton C, Ring SM, Rivadeneira F, Salomaa V, Spector TD, Stegle O, Toniolo D, Uitterlinden AG, Barroso I, Greenwood CMT, Perry JRB, Walker BR, Butterworth AS, Xue Y, Durbin R, Small KS, Soranzo N, Timpson NJ, Zeggini E. Whole-Genome Sequencing Coupled to Imputation Discovers Genetic Signals for Anthropometric Traits. Am J Hum Genet 2017; 100:865-884. [PMID: 28552196 PMCID: PMC5473732 DOI: 10.1016/j.ajhg.2017.04.014] [Citation(s) in RCA: 103] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2016] [Accepted: 04/21/2017] [Indexed: 01/05/2023] Open
Abstract
Deep sequence-based imputation can enhance the discovery power of genome-wide association studies by assessing previously unexplored variation across the common- and low-frequency spectra. We applied a hybrid whole-genome sequencing (WGS) and deep imputation approach to examine the broader allelic architecture of 12 anthropometric traits associated with height, body mass, and fat distribution in up to 267,616 individuals. We report 106 genome-wide significant signals that have not been previously identified, including 9 low-frequency variants pointing to functional candidates. Of the 106 signals, 6 are in genomic regions that have not been implicated with related traits before, 28 are independent signals at previously reported regions, and 72 represent previously reported signals for a different anthropometric trait. 71% of signals reside within genes and fine mapping resolves 23 signals to one or two likely causal variants. We confirm genetic overlap between human monogenic and polygenic anthropometric traits and find signal enrichment in cis expression QTLs in relevant tissues. Our results highlight the potential of WGS strategies to enhance biologically relevant discoveries across the frequency spectrum.
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Affiliation(s)
- Ioanna Tachmazidou
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Dániel Süveges
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Josine L Min
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Graham R S Ritchie
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; Usher Institute of Population Health Sciences & Informatics, University of Edinburgh, Edinburgh EH16 4UX, UK; MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH16 4UX, UK
| | - Julia Steinberg
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Klaudia Walter
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Valentina Iotchkova
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | | | - Jie Huang
- Boston VA Research Institute, Boston, MA 02130, USA
| | - Yasin Memari
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Shane McCarthy
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Andrew A Crawford
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK; BHF Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Cristina Bombieri
- Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona 37134, Italy
| | - Massimiliano Cocca
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy
| | - Aliki-Eleni Farmaki
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Pekka Jousilahti
- Department of Health, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Marjolein N Kooijman
- The Generation R Study Group, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Pediatrics, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Giovanni Malerba
- Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona 37134, Italy
| | - Satu Männistö
- Department of Health, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Angela Matchan
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Carolina Medina-Gomez
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Internal Medicine, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Sarah J Metrustry
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Abhishek Nag
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Ioanna Ntalla
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
| | - Lavinia Paternoster
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Nigel W Rayner
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford OX3 7LJ, UK
| | - Cinzia Sala
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan 20132, Italy
| | - William R Scott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK; Department of Cardiology, Ealing Hospital NHS Trust, Middlesex UB1 3EU, UK
| | - Hashem A Shihab
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Lorraine Southam
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Beate St Pourcain
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK; Max Planck Institute for Psycholinguistics, Nijmegen 6500, the Netherlands
| | - Michela Traglia
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan 20132, Italy
| | - Katerina Trajanoska
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Internal Medicine, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Gialuigi Zaza
- Renal Unit, Department of Medicine, Verona University Hospital, Verona 37126, Italy
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK; Department of Cardiology, Ealing Hospital NHS Trust, Middlesex UB1 3EU, UK
| | - María S Artigas
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK
| | - Narinder Bansal
- Cardiovascular Epidemiology Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Marianne Benn
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark
| | - Zhongsheng Chen
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Petr Danecek
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark
| | - Wei-Yu Lin
- Cardiovascular Epidemiology Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge CB1 8RN, UK
| | - Adam Locke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA; McDonnell Genome Institute, Washington University School of Medicine, Saint Louis, MO 63108, USA
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Alisa K Manning
- Center for Human Genetics Research, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA; Department of Medicine, Harvard University Medical School, Boston, MA 02115, USA
| | - Antonella Mulas
- Istituto di Ricerca Genetica e Biomedica (IRGB-CNR), Cagliari 09100, Italy; Università degli Studi di Sassari, Sassari 07100, Italy
| | - Carlo Sidore
- Istituto di Ricerca Genetica e Biomedica (IRGB-CNR), Cagliari 09100, Italy
| | - Anne Tybjaerg-Hansen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark
| | - Anette Varbo
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark
| | | | - Chris Finan
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London WC1E 6BT, UK
| | | | - Audrey E Hendricks
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO 80204, USA
| | - John P Kemp
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK; University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD 4072, Australia
| | - Alireza Moayyeri
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK; Institute of Health Informatics, University College London, London NW1 2DA, UK
| | | | - Michal Szpak
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Scott G Wilson
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK; School of Medicine and Pharmacology, The University of Western Australia, Crawley, WA 6009, Australia; Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, WA 6009, Australia
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB-CNR), Cagliari 09100, Italy; Università degli Studi di Sassari, Sassari 07100, Italy
| | - Emanuele Di Angelantonio
- Cardiovascular Epidemiology Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, Cambridge CB1 8RN, UK
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Cecilia Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Li Ka Shing Centre for Health Information and Discovery, The Big Data Institute, University of Oxford, Oxford OX3 7BN, UK
| | - Mark I McCarthy
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Oxford OX3 7LJ, UK; Oxford NIHR Biomedical Research Centre, Churchill Hospital, Oxford OX3 7LJ, UK
| | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Department of Biostatistics, University of Liverpool, Liverpool L69 3GL, UK; Estonian Genome Center, University of Tartu, Tartu, Tartumaa 51010, Estonia
| | - Børge G Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2200, Denmark; Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen 2100, Denmark
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Martin D Tobin
- Genetic Epidemiology Group, Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK; National Institute for Health Research (NIHR) Leicester Respiratory Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | | | | | - Paul Burton
- D2K Research Group, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - John C Chambers
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK; Department of Cardiology, Ealing Hospital NHS Trust, Middlesex UB1 3EU, UK; Imperial College Healthcare NHS Trust, London W2 1NY, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens 17671, Greece
| | - Janine F Felix
- The Generation R Study Group, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Pediatrics, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Giovanni Gambaro
- Division of Nephrology and Dialysis, Columbus-Gemelli University Hospital, Catholic University, Rome 00168, Italy
| | - Paolo Gasparini
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy; Medical Genetics, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste 34100, Italy
| | - Christopher J Hammond
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Pediatrics, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Marcus Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim 68167, Germany
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital NHS Trust, Middlesex UB1 3EU, UK; Imperial College Healthcare NHS Trust, London W2 1NY, UK; National Heart and Lung Institute, Imperial College London, Hammersmith Hospital Campus, London W12 0NN, UK
| | - Markus Perola
- Department of Health, National Institute for Health and Welfare, Helsinki 00271, Finland; Estonian Genome Center, University of Tartu, Tartu, Tartumaa 51010, Estonia; Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki 00290, Finland
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Susan M Ring
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Fernando Rivadeneira
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Internal Medicine, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | - Veikko Salomaa
- Department of Health, National Institute for Health and Welfare, Helsinki 00271, Finland
| | - Timothy D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Oliver Stegle
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milan 20132, Italy
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands; Department of Internal Medicine, Erasmus Medical Center, University Medical Center, Rotterdam 3000 CA, the Netherlands
| | | | | | | | - Inês Barroso
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; University of Cambridge Metabolic Research Laboratories, and NIHR Cambridge Biomedical Research Centre, Wellcome Trust-MRC Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB2 0QQ, UK
| | - Celia M T Greenwood
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC H3T 1E2, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC H3A 1A2, Canada; Department of Oncology, McGill University, Montréal, QC H2W 1S6, Canada
| | - John R B Perry
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge CB2 0QQ, UK
| | - Brian R Walker
- BHF Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh EH16 4TJ, UK
| | - Adam S Butterworth
- Cardiovascular Epidemiology Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, Cambridge CB1 8RN, UK
| | - Yali Xue
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Richard Durbin
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Kerrin S Small
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Nicole Soranzo
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK; The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, Cambridge CB1 8RN, UK; Department of Haematology, University of Cambridge, Cambridge CB2 0AH, UK
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit, School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK
| | - Eleftheria Zeggini
- The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK.
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21
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Yokokura T, Kamei H, Shibano T, Yamanaka D, Sawada-Yamaguchi R, Hakuno F, Takahashi SI, Shimizu T. The Short-Stature Homeobox-Containing Gene ( shox/ SHOX) Is Required for the Regulation of Cell Proliferation and Bone Differentiation in Zebrafish Embryo and Human Mesenchymal Stem Cells. Front Endocrinol (Lausanne) 2017; 8:125. [PMID: 28642734 PMCID: PMC5462919 DOI: 10.3389/fendo.2017.00125] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Abstract
The short-stature homeobox-containing gene (SHOX) was originally discovered as one of genes responsible for idiopathic short-stature syndromes in humans. Previous studies in animal models have shown the evolutionarily conserved link between this gene and skeletal formation in early embryogenesis. Here, we characterized developmental roles of shox/SHOX in zebrafish embryos and human mesenchymal stem cells (hMSCs) using loss-of-function approaches. Morpholino oligo-mediated knockdown of zebrafish shox markedly hindered cell proliferation in the anterior region of the pharyngula embryos, which was accompanied by reduction in the dlx2 expression at mesenchymal core sites for future pharyngeal bones. In addition, the impaired shox expression transiently increased expression levels of skeletal differentiation genes in early larval stage. In cell culture studies, we found that hMSCs expressed SHOX; the siRNA-mediated blockade of SHOX expression significantly blunted cell proliferation in undifferentiated hMSCs but the loss of SHOX expression did augment the expressions of subsets of early osteogenic genes during early osteoblast differentiation. These data suggest that shox/SHOX maintains the population of embryonic bone progenitor cells by keeping its proliferative status and by repressing the onset of early osteogenic gene expression. The current study for the first time shows cellular and developmental responses caused by shox/SHOX deficiency in zebrafish embryos and hMSCs, and it expands our understanding of the role of this gene in early stages of skeletal growth.
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Affiliation(s)
- Tomoaki Yokokura
- Juntendo University Graduate School of Medicine, Bunkyo, Japan
- Department of Animal Sciences, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
- Department of Applied Biological Chemistry, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
| | - Hiroyasu Kamei
- Department of Animal Sciences, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
- Department of Applied Biological Chemistry, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
- Faculty of Natural System, Institute of Science and Engineering, Kanazawa University, Kanazawa, Japan
- *Correspondence: Hiroyasu Kamei, ; Shin-Ichiro Takahashi,
| | - Takashi Shibano
- Department of Animal Sciences, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
- Department of Applied Biological Chemistry, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
- Department of Oncology and Pathology, Cancer Centre Karolinska, Karolinska Institutet, Stockholm, Sweden
| | - Daisuke Yamanaka
- Department of Animal Sciences, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
- Department of Applied Biological Chemistry, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
- Department of Veterinary Medical Sciences, Graduate School of Agriculture and Life Science, The University of Tokyo, Bunkyo, Japan
| | - Rie Sawada-Yamaguchi
- Juntendo University Graduate School of Medicine, Bunkyo, Japan
- Department of Animal Sciences, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
- Department of Applied Biological Chemistry, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
| | - Fumihiko Hakuno
- Department of Animal Sciences, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
- Department of Applied Biological Chemistry, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
| | - Shin-Ichiro Takahashi
- Department of Animal Sciences, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
- Department of Applied Biological Chemistry, Graduate School of Agriculture and Life Sciences, The University of Tokyo, Bunkyo, Japan
- *Correspondence: Hiroyasu Kamei, ; Shin-Ichiro Takahashi,
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22
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Montalbano A, Juergensen L, Roeth R, Weiss B, Fukami M, Fricke-Otto S, Binder G, Ogata T, Decker E, Nuernberg G, Hassel D, Rappold GA. Retinoic acid catabolizing enzyme CYP26C1 is a genetic modifier in SHOX deficiency. EMBO Mol Med 2016; 8:1455-1469. [PMID: 27861128 PMCID: PMC5167135 DOI: 10.15252/emmm.201606623] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2016] [Revised: 09/28/2016] [Accepted: 10/10/2016] [Indexed: 12/17/2022] Open
Abstract
Mutations in the homeobox gene SHOX cause SHOX deficiency, a condition with clinical manifestations ranging from short stature without dysmorphic signs to severe mesomelic skeletal dysplasia. In rare cases, individuals with SHOX deficiency are asymptomatic. To elucidate the factors that modify disease severity/penetrance, we studied a three-generation family with SHOX deficiency. The variant p.Phe508Cys of the retinoic acid catabolizing enzyme CYP26C1 co-segregated with the SHOX variant p.Val161Ala in the affected individuals, while the SHOX mutant alone was present in asymptomatic individuals. Two further cases with SHOX deficiency and damaging CYP26C1 variants were identified in a cohort of 68 individuals with LWD The identified CYP26C1 variants affected its catabolic activity, leading to an increased level of retinoic acid. High levels of retinoic acid significantly decrease SHOX expression in human primary chondrocytes and zebrafish embryos. Individual morpholino knockdown of either gene shortens the pectoral fins, whereas depletion of both genes leads to a more severe phenotype. Together, our findings describe CYP26C1 as the first genetic modifier for SHOX deficiency.
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Affiliation(s)
- Antonino Montalbano
- Department of Human Molecular Genetics, Heidelberg University, Heidelberg, Germany
| | - Lonny Juergensen
- Department of Internal Medicine III - Cardiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Ralph Roeth
- Department of Human Molecular Genetics, Heidelberg University, Heidelberg, Germany
| | - Birgit Weiss
- Department of Human Molecular Genetics, Heidelberg University, Heidelberg, Germany
| | - Maki Fukami
- Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo, Japan
| | | | - Gerhard Binder
- Children's Hospital, University of Tübingen, Tübingen, Germany
| | - Tsutomu Ogata
- Department of Pediatrics, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Eva Decker
- Bioscientia Center for Human Genetics, Ingelheim, Germany
| | - Gudrun Nuernberg
- Center for Molecular Medicine, Cologne, Germany
- Cologne Center for Genomics, Cologne, Germany
| | - David Hassel
- Department of Internal Medicine III - Cardiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Gudrun A Rappold
- Department of Human Molecular Genetics, Heidelberg University, Heidelberg, Germany
- Interdisciplinary Centre for Neurosciences (IZN), University of Heidelberg, Heidelberg, Germany
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23
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Domyan ET, Shapiro MD. Pigeonetics takes flight: Evolution, development, and genetics of intraspecific variation. Dev Biol 2016; 427:241-250. [PMID: 27847323 DOI: 10.1016/j.ydbio.2016.11.008] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2016] [Revised: 10/28/2016] [Accepted: 11/10/2016] [Indexed: 11/26/2022]
Abstract
Intensive artificial selection over thousands of years has produced hundreds of varieties of domestic pigeon. As Charles Darwin observed, the morphological differences among breeds can rise to the magnitude of variation typically observed among different species. Nevertheless, different pigeon varieties are interfertile, thereby enabling forward genetic and genomic approaches to identify genes that underlie derived traits. Building on classical genetic studies of pigeon variation, recent molecular investigations find a spectrum of coding and regulatory alleles controlling derived traits, including plumage color, feather growth polarity, and limb identity. Developmental and genetic analyses of pigeons are revealing the molecular basis of variation in a classic example of extreme intraspecific diversity, and have the potential to nominate genes that control variation among other birds and vertebrates in general.
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Affiliation(s)
- Eric T Domyan
- Department of Biology, Utah Valley University, Orem, UT, United States.
| | - Michael D Shapiro
- Department of Biology, University of Utah, Salt Lake City, UT, United States.
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24
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Distinct Genetic Influences on Cortical and Subcortical Brain Structures. Sci Rep 2016; 6:32760. [PMID: 27595976 PMCID: PMC5011703 DOI: 10.1038/srep32760] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 08/09/2016] [Indexed: 12/13/2022] Open
Abstract
This study examined the heritability of brain grey matter structures in a subsample of older adult twins (93 MZ and 68 DZ twin pairs; mean age 70 years) from the Older Australian Twins Study. The heritability estimates of subcortical regions ranged from 0.41 (amygdala) to 0.73 (hippocampus), and of cortical regions, from 0.55 (parietal lobe) to 0.78 (frontal lobe). Corresponding structures in the two hemispheres were influenced by the same genetic factors and high genetic correlations were observed between the two hemispheric regions. There were three genetically correlated clusters, comprising (i) the cortical lobes (frontal, temporal, parietal and occipital lobes); (ii) the basal ganglia (caudate, putamen and pallidum) with weak genetic correlations with cortical lobes, and (iii) the amygdala, hippocampus, thalamus and nucleus accumbens grouped together, which genetically correlated with both basal ganglia and cortical lobes, albeit relatively weakly. Our study demonstrates a complex but patterned and clustered genetic architecture of the human brain, with divergent genetic determinants of cortical and subcortical structures, in particular the basal ganglia.
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Marchini A, Ogata T, Rappold GA. A Track Record on SHOX: From Basic Research to Complex Models and Therapy. Endocr Rev 2016; 37:417-48. [PMID: 27355317 PMCID: PMC4971310 DOI: 10.1210/er.2016-1036] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
SHOX deficiency is the most frequent genetic growth disorder associated with isolated and syndromic forms of short stature. Caused by mutations in the homeobox gene SHOX, its varied clinical manifestations include isolated short stature, Léri-Weill dyschondrosteosis, and Langer mesomelic dysplasia. In addition, SHOX deficiency contributes to the skeletal features in Turner syndrome. Causative SHOX mutations have allowed downstream pathology to be linked to defined molecular lesions. Expression levels of SHOX are tightly regulated, and almost half of the pathogenic mutations have affected enhancers. Clinical severity of SHOX deficiency varies between genders and ranges from normal stature to profound mesomelic skeletal dysplasia. Treatment options for children with SHOX deficiency are available. Two decades of research support the concept of SHOX as a transcription factor that integrates diverse aspects of bone development, growth plate biology, and apoptosis. Due to its absence in mouse, the animal models of choice have become chicken and zebrafish. These models, therefore, together with micromass cultures and primary cell lines, have been used to address SHOX function. Pathway and network analyses have identified interactors, target genes, and regulators. Here, we summarize recent data and give insight into the critical molecular and cellular functions of SHOX in the etiopathogenesis of short stature and limb development.
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Affiliation(s)
- Antonio Marchini
- Tumour Virology Division F010 (A.M.), German Cancer Research Center, 69120 Heidelberg, Germany; Department of Oncology (A.M.), Luxembourg Institute of Health 84, rue Val Fleuri L-1526, Luxembourg; Department of Pediatrics (T.O.), Hamamatsu University School of Medicine, Higashi-ku, Hamamatsu 431-3192, Japan; and Department of Human Molecular Genetics (G.A.R.), Institute of Human Genetics, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Tsutomu Ogata
- Tumour Virology Division F010 (A.M.), German Cancer Research Center, 69120 Heidelberg, Germany; Department of Oncology (A.M.), Luxembourg Institute of Health 84, rue Val Fleuri L-1526, Luxembourg; Department of Pediatrics (T.O.), Hamamatsu University School of Medicine, Higashi-ku, Hamamatsu 431-3192, Japan; and Department of Human Molecular Genetics (G.A.R.), Institute of Human Genetics, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Gudrun A Rappold
- Tumour Virology Division F010 (A.M.), German Cancer Research Center, 69120 Heidelberg, Germany; Department of Oncology (A.M.), Luxembourg Institute of Health 84, rue Val Fleuri L-1526, Luxembourg; Department of Pediatrics (T.O.), Hamamatsu University School of Medicine, Higashi-ku, Hamamatsu 431-3192, Japan; and Department of Human Molecular Genetics (G.A.R.), Institute of Human Genetics, Heidelberg University Hospital, 69120 Heidelberg, Germany
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26
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Delil K, Karabulut HG, Hacıhamdioğlu B, Şıklar Z, Berberoğlu M, Öçal G, Tükün A, Ruhi HI. Investigation of SHOX Gene Mutations in Turkish Patients with Idiopathic Short Stature. J Clin Res Pediatr Endocrinol 2016; 8:144-9. [PMID: 26758084 PMCID: PMC5096468 DOI: 10.4274/jcrpe.2307] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE The frequency of mutations in the short stature homeobox (SHOX) gene in patients with idiopathic short stature (ISS) ranges widely, depending mostly on the mutation detection technique and inclusion criteria. We present phenotypic and genotypic data on 38 Turkish patients with ISS and the distinctive features of 1 patient with a SHOX deletion. METHODS Microsatellite markers (MSMs) DXYS10092 (GA repeats) and DXYS10093 (CT repeats) were used to select patients for fluorescent in situ hybridisation (FISH) analysis and to screen for deletions in the SHOX gene. The FISH analysis was applied to patients homozygous for at least one MSM. A Sanger sequencing analysis was performed on patients with no deletions according to FISH to investigate point mutations in the SHOX gene. RESULTS One patient (2.6%) had a SHOX mutation. CONCLUSION Although the number of cases was limited and the mutation analysis techniques we used cannot detect all mutations, our findings emphasize the importance of the difference in arm span and height when selecting patients for SHOX gene testing.
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Affiliation(s)
- Kenan Delil
- Marmara University Faculty of Medicine, Department of Medical Genetics, İstanbul, Turkey Phone: +90 216 625 45 45-9129/9120 E-mail:
| | | | - Bülent Hacıhamdioğlu
- Süleymaniye Maternity Training and Research Hospital, Clinic of Pediatric Endocrinology, İstanbul, Turkey
| | - Zeynep Şıklar
- Ankara University Faculty of Medicine, Department of Pediatric Endocrinology, Ankara, Turkey
| | - Merih Berberoğlu
- Ankara University Faculty of Medicine, Department of Pediatric Endocrinology, Ankara, Turkey
| | - Gönül Öçal
- Ankara University Faculty of Medicine, Department of Pediatric Endocrinology, Ankara, Turkey
| | - Ajlan Tükün
- Ankara University Faculty of Medicine, Department of Medical Genetics, Ankara, Turkey
| | - Hatice Ilgın Ruhi
- Ankara University Faculty of Medicine, Department of Medical Genetics, Ankara, Turkey
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27
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Wit JM, Oostdijk W, Losekoot M, van Duyvenvoorde HA, Ruivenkamp CAL, Kant SG. MECHANISMS IN ENDOCRINOLOGY: Novel genetic causes of short stature. Eur J Endocrinol 2016; 174:R145-73. [PMID: 26578640 DOI: 10.1530/eje-15-0937] [Citation(s) in RCA: 111] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Accepted: 11/16/2015] [Indexed: 12/17/2022]
Abstract
The fast technological development, particularly single nucleotide polymorphism array, array-comparative genomic hybridization, and whole exome sequencing, has led to the discovery of many novel genetic causes of growth failure. In this review we discuss a selection of these, according to a diagnostic classification centred on the epiphyseal growth plate. We successively discuss disorders in hormone signalling, paracrine factors, matrix molecules, intracellular pathways, and fundamental cellular processes, followed by chromosomal aberrations including copy number variants (CNVs) and imprinting disorders associated with short stature. Many novel causes of GH deficiency (GHD) as part of combined pituitary hormone deficiency have been uncovered. The most frequent genetic causes of isolated GHD are GH1 and GHRHR defects, but several novel causes have recently been found, such as GHSR, RNPC3, and IFT172 mutations. Besides well-defined causes of GH insensitivity (GHR, STAT5B, IGFALS, IGF1 defects), disorders of NFκB signalling, STAT3 and IGF2 have recently been discovered. Heterozygous IGF1R defects are a relatively frequent cause of prenatal and postnatal growth retardation. TRHA mutations cause a syndromic form of short stature with elevated T3/T4 ratio. Disorders of signalling of various paracrine factors (FGFs, BMPs, WNTs, PTHrP/IHH, and CNP/NPR2) or genetic defects affecting cartilage extracellular matrix usually cause disproportionate short stature. Heterozygous NPR2 or SHOX defects may be found in ∼3% of short children, and also rasopathies (e.g., Noonan syndrome) can be found in children without clear syndromic appearance. Numerous other syndromes associated with short stature are caused by genetic defects in fundamental cellular processes, chromosomal abnormalities, CNVs, and imprinting disorders.
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Affiliation(s)
- Jan M Wit
- Departments of PaediatricsClinical GeneticsLeiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Wilma Oostdijk
- Departments of PaediatricsClinical GeneticsLeiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Monique Losekoot
- Departments of PaediatricsClinical GeneticsLeiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Hermine A van Duyvenvoorde
- Departments of PaediatricsClinical GeneticsLeiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Claudia A L Ruivenkamp
- Departments of PaediatricsClinical GeneticsLeiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Sarina G Kant
- Departments of PaediatricsClinical GeneticsLeiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
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Ramos-Molina B, Martin MG, Lindberg I. PCSK1 Variants and Human Obesity. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2016; 140:47-74. [PMID: 27288825 DOI: 10.1016/bs.pmbts.2015.12.001] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PCSK1, encoding prohormone convertase 1/3 (PC1/3), was one of the first genes linked to monogenic early-onset obesity. PC1/3 is a protease involved in the biosynthetic processing of a variety of neuropeptides and prohormones in endocrine tissues. PC1/3 activity is essential for the activating cleavage of many peptide hormone precursors implicated in the regulation of food ingestion, glucose homeostasis, and energy homeostasis, for example, proopiomelanocortin, proinsulin, proglucagon, and proghrelin. A large number of genome-wide association studies in a variety of different populations have now firmly established a link between three PCSK1 polymorphisms frequent in the population and increased risk of obesity. Human subjects with PC1/3 deficiency, a rare autosomal-recessive disorder caused by the presence of loss-of-function mutations in both alleles, are obese and display a complex set of endocrinopathies. Increasing numbers of genetic diagnoses of infants with persistent diarrhea has recently led to the finding of many novel PCSK1 mutations. PCSK1-deficient infants experience severe intestinal malabsorption during the first years of life, requiring controlled nutrition; these children then become hyperphagic, with associated obesity. The biochemical characterization of novel loss-of-function PCSK1 mutations has resulted in the discovery of new pathological mechanisms affecting the cell biology of the endocrine cell beyond simple loss of enzyme activity, for example, dominant-negative effects of certain mutants on wild-type PC1/3 protein, and activation of the cellular unfolded protein response by endoplasmic reticulum-retained mutants. A better understanding of these molecular and cellular pathologies may illuminate possible treatments for the complex endocrinopathy of PCSK1 deficiency, including obesity.
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Affiliation(s)
- B Ramos-Molina
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - M G Martin
- Department of Pediatrics, Division of Gastroenterology and Nutrition, Mattel Children's Hospital and the David Geffen School of Medicine, Los Angeles, CA, United States of America
| | - I Lindberg
- Department of Anatomy and Neurobiology, University of Maryland, Baltimore, MD, United States of America.
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Garza C. Commentary: Please sir, I want some more (and something else). Int J Epidemiol 2015; 44:1876-8. [PMID: 26553842 DOI: 10.1093/ije/dyv299] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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Qin Y, Gao WQ. Concise Review: Patient-Derived Stem Cell Research for Monogenic Disorders. Stem Cells 2015; 34:44-54. [DOI: 10.1002/stem.2112] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Revised: 06/05/2015] [Accepted: 06/20/2015] [Indexed: 12/24/2022]
Affiliation(s)
- Yiren Qin
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med-X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine; hanghai Jiao Tong University; Shanghai People's Republic of China
| | - Wei-Qiang Gao
- State Key Laboratory of Oncogenes and Related Genes, Renji-Med-X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Medicine; hanghai Jiao Tong University; Shanghai People's Republic of China
- School of Biomedical Engineering & Med-X Research Institute; Shanghai Jiao Tong University; Shanghai People's Republic of China
- Collaborative Innovation Center of Systems Biomedicine; Shanghai Jiao Tong University; Shanghai People's Republic of China
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Sawada R, Kamei H, Hakuno F, Takahashi SI, Shimizu T. In vivo loss of function study reveals theshort stature homeobox-containing(shox) gene plays indispensable roles in early embryonic growth and bone formation in zebrafish. Dev Dyn 2014; 244:146-56. [DOI: 10.1002/dvdy.24239] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2014] [Revised: 11/11/2014] [Accepted: 12/02/2014] [Indexed: 12/19/2022] Open
Affiliation(s)
- Rie Sawada
- Juntendo University Graduate School of Medicine; Tokyo Japan
- Departments of Animal Sciences and Applied Biological Chemistry; Graduate School of Agriculture and Life Sciences, The University of Tokyo; Tokyo Japan
| | - Hiroyasu Kamei
- Departments of Animal Sciences and Applied Biological Chemistry; Graduate School of Agriculture and Life Sciences, The University of Tokyo; Tokyo Japan
| | - Fumihiko Hakuno
- Departments of Animal Sciences and Applied Biological Chemistry; Graduate School of Agriculture and Life Sciences, The University of Tokyo; Tokyo Japan
| | - Shin-Ichiro Takahashi
- Departments of Animal Sciences and Applied Biological Chemistry; Graduate School of Agriculture and Life Sciences, The University of Tokyo; Tokyo Japan
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Zahnleiter D, Hauer NN, Kessler K, Uebe S, Sugano Y, Neuhauss SC, Giessl A, Ekici AB, Blessing H, Sticht H, Dörr HG, Reis A, Thiel CT. MAP4-Dependent Regulation of Microtubule Formation Affects Centrosome, Cilia, and Golgi Architecture as a Central Mechanism in Growth Regulation. Hum Mutat 2014; 36:87-97. [DOI: 10.1002/humu.22711] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2014] [Accepted: 10/01/2014] [Indexed: 12/30/2022]
Affiliation(s)
- Diana Zahnleiter
- Institute of Human Genetics; Friedrich-Alexander-Universität Erlangen-Nürnberg; Erlangen Germany
| | - Nadine N. Hauer
- Institute of Human Genetics; Friedrich-Alexander-Universität Erlangen-Nürnberg; Erlangen Germany
| | - Kristin Kessler
- Institute of Human Genetics; Friedrich-Alexander-Universität Erlangen-Nürnberg; Erlangen Germany
| | - Steffen Uebe
- Institute of Human Genetics; Friedrich-Alexander-Universität Erlangen-Nürnberg; Erlangen Germany
| | - Yuya Sugano
- Institute of Molecular Life Sciences; University of Zurich; Zurich Switzerland
| | | | - Andreas Giessl
- Animal Physiology; Friedrich-Alexander Universität Erlangen-Nürnberg; Erlangen Germany
| | - Arif B. Ekici
- Institute of Human Genetics; Friedrich-Alexander-Universität Erlangen-Nürnberg; Erlangen Germany
| | - Holger Blessing
- Department of Pediatrics and Adolescent Medicine; Friedrich-Alexander Universität Erlangen-Nürnberg; Erlangen Germany
| | - Heinrich Sticht
- Institute of Biochemistry; Friedrich-Alexander Universität Erlangen-Nürnberg; Erlangen Germany
| | - Helmuth-Günther Dörr
- Department of Pediatrics and Adolescent Medicine; Friedrich-Alexander Universität Erlangen-Nürnberg; Erlangen Germany
| | - André Reis
- Institute of Human Genetics; Friedrich-Alexander-Universität Erlangen-Nürnberg; Erlangen Germany
| | - Christian T. Thiel
- Institute of Human Genetics; Friedrich-Alexander-Universität Erlangen-Nürnberg; Erlangen Germany
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Harmel EM, Binder G, Barnikol-Oettler A, Caliebe J, Kiess W, Losekoot M, Ranke MB, Rappold GA, Schlicke M, Stobbe H, Wit JM, Pfäffle R, Klammt J. Alu-mediated recombination defect in IGF1R: haploinsufficiency in a patient with short stature. Horm Res Paediatr 2014; 80:431-42. [PMID: 24296753 DOI: 10.1159/000355410] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2013] [Accepted: 08/05/2013] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The insulin-like growth factor (IGF) receptor (IGF1R) is essential for normal development and growth. IGF1R mutations cause IGF-1 resistance resulting in intrauterine and postnatal growth failure. The phenotypic spectrum related to IGF1R mutations remains to be fully understood. METHODS Auxological and endocrinological data of a patient identified previously were assessed. The patient's fibroblasts were studied to characterize the IGF1R deletion, mRNA fate, protein expression and signalling capabilities. RESULTS The boy, who carries a heterozygous IGF1R exon 6 deletion caused by Alu element-mediated recombination and a heterozygous SHOX variant (p.Met240Ile), was born appropriate for gestational age but developed proportionate short stature postnatally. IGF-1 levels were low-normal. None of the stigmata associated with SHOX deficiency or sporadically observed in IGF1R mutation carriers were present. Nonsense-mediated mRNA decay led to a substantial decline of IGF1R dosage and IGF-1-dependent receptor autophosphorylation but not impaired downstream signalling. CONCLUSION We present the first detailed report of an intragenic IGF1R deletion identified in a patient who, apart from short stature, deviates from all established markers that qualify a growth-retarded child for IGF1R analysis. Although such children will usually escape routine clinical mutation screenings, they can contribute to the understanding of factors and mechanisms that cooperate with the IGF1R.
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Affiliation(s)
- Eva-Maria Harmel
- University Hospital for Children and Adolescents, Centre for Paediatric Research, Leipzig, Germany
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Genetic interactions between Shox2 and Hox genes during the regional growth and development of the mouse limb. Genetics 2014; 198:1117-26. [PMID: 25217052 DOI: 10.1534/genetics.114.167460] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The growth and development of the vertebrate limb relies on homeobox genes of the Hox and Shox families, with their independent mutation often giving dose-dependent effects. Here we investigate whether Shox2 and Hox genes function together during mouse limb development by modulating their relative dosage and examining the limb for nonadditive effects on growth. Using double mRNA fluorescence in situ hybridization (FISH) in single embryos, we first show that Shox2 and Hox genes have associated spatial expression dynamics, with Shox2 expression restricted to the proximal limb along with Hoxd9 and Hoxa11 expression, juxtaposing the distal expression of Hoxa13 and Hoxd13. By generating mice with all possible dosage combinations of mutant Shox2 alleles and HoxA/D cluster deletions, we then show that their coordinated proximal limb expression is critical to generate normally proportioned limb segments. These epistatic interactions tune limb length, where Shox2 underexpression enhances, and Shox2 overexpression suppresses, Hox-mutant phenotypes. Disruption of either Shox2 or Hox genes leads to a similar reduction in Runx2 expression in the developing humerus, suggesting their concerted action drives cartilage maturation during normal development. While we furthermore provide evidence that Hox gene function influences Shox2 expression, this regulation is limited in extent and is unlikely on its own to be a major explanation for their genetic interaction. Given the similar effect of human SHOX mutations on regional limb growth, Shox and Hox genes may generally function as genetic interaction partners during the growth and development of the proximal vertebrate limb.
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Tatton-Brown K, Seal S, Ruark E, Harmer J, Ramsay E, Del Vecchio Duarte S, Zachariou A, Hanks S, O'Brien E, Aksglaede L, Baralle D, Dabir T, Gener B, Goudie D, Homfray T, Kumar A, Pilz DT, Selicorni A, Temple IK, Van Maldergem L, Yachelevich N, van Montfort R, Rahman N. Mutations in the DNA methyltransferase gene DNMT3A cause an overgrowth syndrome with intellectual disability. Nat Genet 2014; 46:385-8. [PMID: 24614070 PMCID: PMC3981653 DOI: 10.1038/ng.2917] [Citation(s) in RCA: 232] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Accepted: 02/12/2014] [Indexed: 12/14/2022]
Abstract
Overgrowth disorders are a heterogeneous group of conditions characterized by increased growth parameters and other variable clinical features such as intellectual disability and facial dysmorphism. To identify new causes of human overgrowth, we performed exome sequencing in ten proband-parent trios and detected two de novo DNMT3A mutations. We identified 11 additional de novo mutations by sequencing DNMT3A in a further 142 individuals with overgrowth. The mutations alter residues in functional DNMT3A domains, and protein modeling suggests that they interfere with domain-domain interactions and histone binding. Similar mutations were not present in 1,000 UK population controls (13/152 cases versus 0/1,000 controls; P < 0.0001). Mutation carriers had a distinctive facial appearance, intellectual disability and greater height. DNMT3A encodes a DNA methyltransferase essential for establishing methylation during embryogenesis and is commonly somatically mutated in acute myeloid leukemia. Thus, DNMT3A joins an emerging group of epigenetic DNA- and histone-modifying genes associated with both developmental growth disorders and hematological malignancies.
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Affiliation(s)
- Katrina Tatton-Brown
- 1] Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK. [2] Cancer Genetics Unit, Royal Marsden Hospital, London, UK. [3] Medical Genetics, St George's University of London, London, UK
| | - Sheila Seal
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Elise Ruark
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Jenny Harmer
- Cancer Research UK Cancer Therapeutics Unit, Division of Cancer Therapeutics, Institute of Cancer Research, London, UK
| | - Emma Ramsay
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | | | - Anna Zachariou
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Sandra Hanks
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Eleanor O'Brien
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Lise Aksglaede
- Department of Clinical Genetics, Copenhagen University Hospital, Copenhagen, Denmark
| | - Diana Baralle
- Human Genetics and Genomic Medicine, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Tabib Dabir
- Northern Ireland Regional Genetics Centre, Clinical Genetics Service, Belfast City Hospital, Belfast, UK
| | - Blanca Gener
- Servicio de Genética, BioCruces Health Research Institute, Hospital Universitario Cruces, Bizkaia, Spain
| | - David Goudie
- Department of Human Genetics, Ninewells Hospital and Medical School, Dundee, UK
| | - Tessa Homfray
- Medical Genetics, St George's University of London, London, UK
| | - Ajith Kumar
- North East Thames Regional Genetics Service, Great Ormond Street Hospital, London, UK
| | - Daniela T Pilz
- Institute of Medical Genetics, University Hospital of Wales, Cardiff, UK
| | - Angelo Selicorni
- Ambulatorio di Genetica Clinica Pediatrica, Clinica Pediatrica dell'Università di Milano Bicocca, La Fondazione Monza e Brianza il Bambino e La Sua Mamma (MBBM), Azienda Ospedaliera (AO), San Gerado, Monza, Italy
| | - I Karen Temple
- Human Genetics and Genomic Medicine, Faculty of Medicine, University of Southampton, Southampton, UK
| | | | - Naomi Yachelevich
- Clinical Genetics Services, New York University Hospitals Center, New York University, New York, New York, USA
| | - Robert van Montfort
- Cancer Research UK Cancer Therapeutics Unit, Division of Cancer Therapeutics, Institute of Cancer Research, London, UK
| | - Nazneen Rahman
- 1] Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK. [2] Cancer Genetics Unit, Royal Marsden Hospital, London, UK
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Censani M, Anyane-Yeboa K, Wapner R, Spiegel E, Guzman E, Oberfield SE. Rare inheritance of Leri-Weill Syndrome due to crossover of short stature Homeobox Gene (SHOX) Deletions between X and Y Chromosomes: a case report. INTERNATIONAL JOURNAL OF PEDIATRIC ENDOCRINOLOGY 2013; 2013:11. [PMID: 23809065 PMCID: PMC3716959 DOI: 10.1186/1687-9856-2013-11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2013] [Accepted: 05/30/2013] [Indexed: 11/29/2022]
Abstract
Background Leri-Weill syndrome (LWS) is a genetic disorder caused by deletions or mutations in the SHOX gene or by deletions downstream of the gene and is classically characterized by short stature, mesomelic shortening of forearms and legs, and Madelung deformity. Correct identification of short stature homeobox-containing gene (SHOX) deficiency in children with growth problems is vital for appropriate initiation of growth hormone therapy. Method We report a phenotypically normal 23 day old male infant born to a father diagnosed with Leri-Weill syndrome at age 12 years with a documented SHOX deletion on his X chromosome. The patient’s fetal long bones had been found to be about three weeks delayed in growth on prenatal ultrasound during the second trimester. Results The infant underwent genetic evaluation at 23 days of life and was found to have a SHOX deletion on Yp11.32 identified using single nucleotide polymorphism microarray (SNP) analysis and confirmed by FISH using a SHOX gene probe. Conclusion We report the case of a male infant diagnosed with Leri-Weill syndrome with an unusual documented inheritance between father and son due to crossover between X and Y chromosomes during paternal meiosis. Our case is the youngest patient in literature documented by FISH analysis to have an X to Y chromosome transfer and the first of these patients diagnosed prior to onset of short stature or Madelung deformity. Our patient was identified prior to growth failure and can now be monitored for growth abnormalities with the ability to implement growth augmentation therapy without delay. Our case highlights the importance of advising affected SHOX patients of risks to future offspring and supports screening off-spring of parents carrying SHOX abnormalities regardless of sex.
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