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Rare and low-frequency coding variants alter human adult height

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DOI

  • Eirini Marouli, Queen Mary University of London
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  • Mariaelisa Graff, Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27514, USA.
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  • Carolina Medina-Gómez, Department of Internal Medicine, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands.
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  • Ken Sin Lo, Dept. of Medicine, Montreal Heart Institute, Montreal
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  • Andrew R Wood, University of Exeter
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  • Troels R Kjaer
  • Rebecca S Fine, Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA.
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  • Yingchang Lu, The Genetics of Obesity and Related Metabolic Traits Program, Ichan School of Medicine at Mount Sinai, New York, New York 10069, USA.
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  • Claudia Schurmann, The Genetics of Obesity and Related Metabolic Traits Program, Ichan School of Medicine at Mount Sinai, New York, New York 10069, USA.
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  • Heather M. Highland, Human Genetics Center, The University of Texas School of Public Health, The University of Texas Graduate School of Biomedical Sciences at Houston, The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA.
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  • Sina Rüeger, 1] Department of Medical Genetics, University of Lausanne, CH-1005 Lausanne, Switzerland. [2] Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland.
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  • Gudmar Thorleifsson, deCODE Genetics
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  • Anne E Justice, Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27514, USA.
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  • David Lamparter, University of Lausanne
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  • Kathleen E Stirrups, University of Cambridge
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  • Valérie Turcot, Dept. of Medicine, Montreal Heart Institute, Montreal
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  • Kristin L Young, Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina 27514, USA.
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  • Thomas W Winkler, Department of Genetic Epidemiology, University of Regensburg, Regensburg, D-93051, Germany.
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  • Tõnu Esko, University of Tartu
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  • Tugce Karaderi, University of Oxford
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  • Adam E. Locke, Washington University St. Louis
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  • Nicholas G D Masca, NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK.
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  • Maggie C Y Ng, Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA.
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  • Poorva Mudgal, Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA.
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  • Manuel A. Rivas, Nuffield Department of Clinical Medicine and Oxford NIHR Comprehensive Biomedical Research Centre, Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7BN, UK.
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  • Sailaja Vedantam, Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA.
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  • Anubha Mahajan, University of Oxford
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  • Xiuqing Guo, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, California 90502, USA.
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  • Gonçalo R Abecasis, University of Michigan, Ann Arbor
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  • Katja K Aben, Radboud University Nijmegen
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  • Linda S Adair, Department of Nutrition, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
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  • Dewan S Alam, Centre for Control of Chronic Diseases (CCCD), Dhaka, 1212, Bangladesh.
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  • Eva Albrecht, Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, D-85764 Neuherberg, Germany.
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  • Kristine H Allin, University of Copenhagen
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  • Matthew A Allison, University of California at San Diego
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  • Philippe Amouyel, Université de Lille
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  • Emil V Appel, University of Copenhagen
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  • Dominique Arveiler, Department of Public Health, University Hospital of Strasbourg, Strasbourg, 67081, France.
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  • Folkert W Asselbergs, Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, UK.
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  • Paul L Auer, University of Wisconsin-Milwaukee
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  • Beverley Balkau, Inserm, Centre de Recherche en Epidémiologie et Santé des Populations (CESP, U1018), Université Paris-Saclay, Université Paris-Sud, UVSQ, Institut Gustave Roussy, Villejuif, France.
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  • Bernhard Banas, University of Regensburg
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  • Lia E. Bang, University of Copenhagen
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  • Marianne Benn, University of Copenhagen
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  • Sven M. Bergmann, University of Lausanne
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  • Lawrence F Bielak, University of Michigan, Ann Arbor
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  • Matthias Blüher, Leipzig University
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  • Heiner Boeing, German Institute of Human Nutrition Potsdam-Rehbruecke
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  • Eric Boerwinkle, Baylor College of Medicine
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  • Claus Oxvig
  • EPIC InterAct Consortium

Height is a highly heritable, classic polygenic trait with approximately 700 common associated variants identified through genome-wide association studies so far. Here, we report 83 height-associated coding variants with lower minor-allele frequencies (in the range of 0.1-4.8%) and effects of up to 2 centimetres per allele (such as those in IHH, STC2, AR and CRISPLD2), greater than ten times the average effect of common variants. In functional follow-up studies, rare height-increasing alleles of STC2 (giving an increase of 1-2 centimetres per allele) compromised proteolytic inhibition of PAPP-A and increased cleavage of IGFBP-4 in vitro, resulting in higher bioavailability of insulin-like growth factors. These 83 height-associated variants overlap genes that are mutated in monogenic growth disorders and highlight new biological candidates (such as ADAMTS3, IL11RA and NOX4) and pathways (such as proteoglycan and glycosaminoglycan synthesis) involved in growth. Our results demonstrate that sufficiently large sample sizes can uncover rare and low-frequency variants of moderate-to-large effect associated with polygenic human phenotypes, and that these variants implicate relevant genes and pathways.

Original languageEnglish
JournalNature
Volume542
Issue7640
Pages (from-to)186-190
Number of pages5
ISSN0028-0836
DOIs
Publication statusPublished - 9 Feb 2017

    Research areas

  • Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't

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