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

Boraska, Vesna and Jeroncic, Ana and Colonna, Vincenza and Southam, Lorraine and Nyholt, Dale R. and Rayner, Nigel William and Perry, John R. B. and Toniolo, Daniela and Albrecht, Eva and Ang, Wei and Bandinelli, Stefania and Barbalic, Maja and Barroso, Ines and Beckmann, Jacques S. and Biffar, Reiner and Boomsma, Dorret and Campbell, Harry and Corre, Tanguy and Erdmann, Jeanette and Esko, Tonu and Fischer, Krista and Franceschini, Nora and Frayling, Timothy M. and Girotto, Giorgia and Gonzalez, Juan R. and Harris, Tamara B. and Heath, Andrew C. and Heid, Iris M. and Hoffmann, Wolfgang and Hofman, Albert and Horikoshi, Momoko and Zhao, Jing Hua and Jackson, Anne U. and Hottenga, Jouke-Jan and Jula, Antti and Kahonen, Mika and Khaw, Kay-Tee and Kiemeney, Lambertus A. and Klopp, Norman and Kutalik, Zoltan and Lagou, Vasiliki and Launer, Lenore J. and Lehtimaki, Terho and Lemire, Mathieu and Lokki, Marja-Liisa and Loley, Christina and Luan, Jian'an and Mangino, Massimo and Leach, Irene Mateo and Medland, Sarah E. and Mihailov, Evelin and Montgomery, Grant W. and Navis, Gerjan and Newnham, John and Nieminen, Markku S. and Palotie, Aarno and Panoutsopoulou, Kalliope and Peters, Annette and Pirastu, Nicola and Polasek, Ozren and Rehnstrom, Karola and Ripatti, Samuli and Ritchie, Graham R. S. and Rivadeneira, Fernando and Robino, Antonietta and Samani, Nilesh J. and Shin, So-Youn and Sinisalo, Juha and Smit, Johannes H. and Soranzo, Nicole and Stolk, Lisette and Swinkels, Dorine W. and Tanaka, Toshiko and Teumer, Alexander and Tonejes, Anke and Traglia, Michela and Tuomilehto, Jaakko and Valsesia, Armand and van Gilst, Wiek H. and van Meurs, Joyce B. J. and Smith, Albert Vernon and Viikari, Jorma and Vink, Jacqueline M. and Waeber, Gerard and Warrington, Nicole M. and Widen, Elisabeth and Willemsen, Gonneke and Wright, Alan F. and Zanke, Brent W. and Zgaga, Lina and Boehnke, Michael and d'Adamo, Adamo Pio and de Geus, Eco and Demerath, Ellen W. and den Heijer, Martin and Eriksson, Johan G. and Ferrucci, Luigi and Gieger, Christian and Gudnason, Vilmundur and Hayward, Caroline and Hengstenberg, Christian and Hudson, Thomas J. and Jarvelin, Marjo-Riitta and Kogevinas, Manolis and Loos, Ruth J. F. and Martin, Nicholas G. and Metspalu, Andres and Pennell, Craig E. and Penninx, Brenda W. and Perola, Markus and Raitakari, Olli and Salomaa, Veikko and Schreiber, Stefan and Schunkert, Heribert and Spector, Tim D. and Stumvoll, Michael and Uitterlinden, Andre G. and Ulivi, Sheila and van der Harst, Pim and Vollenweider, Peter and Volzke, Henry and Wareham, Nicholas J. and Wichmann, H-Erich and Wilson, James F. and Rudan, Igor and Xue, Yali and Zeggini, Eleftheria (2012) Genome-wide meta-analysis of common variant differences between men and women. HUMAN MOLECULAR GENETICS, 21 (21). pp. 4805-4815. ISSN 0964-6906, 1460-2083

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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 approximate to 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.

Item Type: Article
Uncontrolled Keywords: SEX-RATIO; ASSOCIATION; SIMULATION; GENES; BIRTH; TIME;
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Lehrstuhl für Innere Medizin II
Medicine > Institut für Epidemiologie und Präventivmedizin
Medicine > Institut für Epidemiologie und Präventivmedizin > Lehrstuhl für Genetische Epidemiologie
Depositing User: Dr. Gernot Deinzer
Date Deposited: 05 May 2020 04:41
Last Modified: 05 May 2020 04:41
URI: https://pred.uni-regensburg.de/id/eprint/17841

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