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Genome-wide meta-analysis of common variant differences between men and women

  • Vesna Boraska*
  • , Ana Jerončić
  • , Vincenza Colonna
  • , Lorraine Southam
  • , Dale R. Nyholt
  • , Nigel William rayner
  • , John R.B. Perry
  • , Daniela Toniolo
  • , Eva Albrecht
  • , Wei Ang
  • , Stefania Bandinelli
  • , Maja Barbalic
  • , Inês Barroso
  • , Jacques S. Beckmann
  • , Reiner Biffar
  • , Dorret Boomsma
  • , Harry Campbell
  • , Tanguy Corre
  • , Jeanette Erdmann
  • , Tõnu Esko
  • Krista Fischer, Nora Franceschini, Timothy M. Frayling, Giorgia Girotto, Juan R. Gonzalez, Tamara B. Harris, Andrew C. Heath, Iris M. Heid, Wolfgang Hoffmann, Albert Hofman, Momoko Horikoshi, Jing Hua zhao, Anne U. Jackson, Jouke Jan Hottenga, Antti Jula, Mika Kähönen, Kay Tee Khaw, Lambertus A. Kiemeney, Norman Klopp, Zoltán Kutalik, Vasiliki Lagou, Lenore J. Launer, Terho Lehtimäki, Mathieu Lemire, Marja Liisa Lokki, Christina Loley, Jian'an Luan, Massimo Mangino, Irene Mateo leach, Sarah E. Medland, Evelin Mihailov, Grant W. Montgomery, Gerjan Navis, John Newnham, Markku S. Nieminen, Aarno Palotie, Kalliope Panoutsopoulou, Annette Peters, Nicola Pirastu, Ozren Polašek, Karola Rehnström, Samuli Ripatti, Graham R.S. Ritchie, Fernando Rivadeneira, Antonietta Robino, Nilesh J. Samani, So Youn Shin, Juha Sinisalo, Johannes H. Smit, Nicole Soranzo, Lisette Stolk, Dorine W. Swinkels, Toshiko Tanaka, Alexander Teumer, Anke Tönjes, Michela Traglia, Jaakko Tuomilehto, Armand Valsesia, Wiek H. Van gilst, Joyce B.J. Van meurs, Albert Vernon Smith, Jorma Viikari, Jacqueline M. Vink, Gerard Waeber, Nicole M. Warrington, Elisabeth Widen, Gonneke Willemsen, Alan F. Wright, Brent W. Zanke, Lina Zgaga, Michael Boehnke, Adamo Pio D'Adamo, Eco De geus, Ellen W. Demerath, Martin Den Heijer, Johan G. Eriksson, Luigi Ferrucci, Christian Gieger, Vilmundur Gudnason, Caroline Hayward, Christian Hengstenberg, Thomas J. Hudson, Marjo Riitta Järvelin, Manolis Kogevinas, Ruth J.F. Loos, Nicholas G. Martin, Andres Metspalu, Craig E. Pennell, Brenda W. Penninx, Markus Perola, Olli Raitakari, Veikko Salomaa, Stefan Schreiber, Heribert Schunkert, Tim D. Spector, Michael Stumvoll, André G. Uitterlinden, Sheila Ulivi, Pim Van der harst, Peter Vollenweider, Henry Völzke, Nicholas J. Wareham, H. Erich Wichmann, James F. Wilson, Igor Rudan, Yali Xue, Eleftheria Zeggini
*Corresponding author for this work
  • Wellcome Trust
  • University of Split
  • National Research Council of Italy
  • Queensland Institute of Medical Research
  • University of Oxford
  • University of Exeter
  • King's College London
  • San Raffaele Scientific Institute
  • Helmholtz Zentrum München - German Research Center for Environmental Health
  • University of Western Australia
  • Azienda Sanitaria Firenze
  • University of Texas Health Science Center at Houston
  • University of Cambridge
  • University of Lausanne
  • University of Greifswald
  • Vrije Universiteit Amsterdam
  • University of Edinburgh
  • University of Lübeck
  • University of Tartu
  • University of Tartu
  • University of North Carolina at Chapel Hill
  • University of Trieste
  • Barcelona Institute for Global Health
  • Biomedical Research Networking Center in Epidemiology and Public Health (CiberESP)
  • National Institutes of Health
  • Washington University St. Louis
  • University of Regensburg
  • Erasmus University Rotterdam
  • Netherlands Consortium of Healthy Ageing
  • Cambridge University Hospitals NHS Foundation Trust
  • University of Michigan, Ann Arbor
  • National Institute for Health and Welfare
  • Tampere University
  • Radboud University Nijmegen
  • Swiss Institute of Bioinformatics
  • Ontario Institute for Cancer Research
  • University of Helsinki
  • University of Groningen
  • Helsinki University Hospital
  • Broad Institute
  • University of Leicester
  • University of Amsterdam
  • Leipzig University
  • South Ostrobothnia Central Hospital
  • Hospital Universitario La Paz
  • University for Continuing Education Krems
  • Ludwig Institute for Cancer Research
  • Icelandic Heart Association
  • University of Iceland
  • University of Turku
  • NHS Lothian
  • University of Ottawa
  • University of Zagreb
  • University of Minnesota Twin Cities
  • Folkhalsan
  • Vaasa Hospital District
  • Klinik und Poliklinik für Innere Medizin II
  • University of Toronto
  • Imperial College London
  • University of Oulu
  • Hospital del Mar
  • University of West Attica
  • VU University Medical Center
  • Leiden University
  • Kiel University
  • IRCCS Ospedale Infantile Burlo Garofolo - Trieste
  • Ludwig Maximilian University of Munich

Research output: Contribution to journalArticlepeer-review

Abstract

The male-to-female sex ratio at birth is constant across world populations with an average of 1.06 (106 male to 100 female live births) for populations of European descent. The sex ratio is considered to be affected by numerous biological and environmental factors and to have a heritable component. The aim of this study was to investigate the presence of common allele modest effects at autosomal and chromosome X variants that could explain the observed sex ratio at birth. We conducted a large-scale genome-wide association scan (GWAS) meta-analysis across 51 studies, comprising overall 114 863 individuals (61 094 women and 53 769 men) of European ancestry and 2 623 828 common (minor allele frequency >0.05) single-nucleotide polymorphisms (SNPs). Allele frequencies were compared between men and women for directly-typed and imputed variants within each study. Forward-time simulations for unlinked, neutral, autosomal, common loci were performed under the demographic model for European populations with a fixed sex ratio and a random mating scheme to assess the probability of detecting significant allele frequency differences. We do not detect any genome-wide significant (P < 5 × 10-8) common SNP differences between men and women in this well-powered meta-analysis. The simulated data provided results entirely consistent with these findings. This large-scale investigation across ~115 000 individuals shows no detectable contribution from common genetic variants to the observed skew in the sex ratio. The absence of sex-specific differences is useful in guiding genetic association study design, for example when using mixed controls for sex-biased traits.

Original languageEnglish
Article numberdds304
Pages (from-to)4805-4815
Number of pages11
JournalHuman Molecular Genetics
Volume21
Issue number21
DOIs
Publication statusPublished - 27 Jul 2012
Externally publishedYes

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