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Original article | published - printed | peer reviewed

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


HUMAN MOLECULAR GENETICS 2012 ; 21(21): 4805 - 4815






Bibliometric indicators



Impact Factor = 7.692

Citations (WOS) = 34

DOI = 10.1093/hmg/dds304

PubMed-ID = 22843499


Authors

Boraska V*, Jeroncic A, Colonna V, Southam L, Nyholt D, Rayner N, Perry J, Toniolo D, Albrecht E, Ang W, Bandinelli S, Barbalic M, Barroso I, Beckmann J, Biffar R, Boomsma D, Campbell H, Corre T, Erdmann J, Esko T, Fischer K, Franceschini N, Frayling T, Girotto G, Gonzalez J, Harris T, Heath A, Heid I, Hoffmann W, Hofman A, Horikoshi M, Zhao J, Jackson A, Hottenga J, Jula A, Kähönen M, Khaw K, Kiemeney L, Klopp N, Kutalik Z, Lagou V, Launer L, Lehtimäki T, Lemire M, Lokki M, Loley C, Luan J, Mangino M, Mateo Leach I, Medland S, Mihailov E, Montgomery G, Navis G, Newnham J, Nieminen M, Palotie A, Panoutsopoulou K, Peters A, Pirastu N, Polasek O, Rehnström K, Ripatti S, Ritchie G, Rivadeneira F, Robino A, Samani N, Shin S, Sinisalo J, Smit J, Soranzo N, Stolk L, Swinkels D, Tanaka T, Teumer A, Tönjes A, Traglia M, Tuomilehto J, Valsesia A, van Gilst W, van Meurs J, Smith A, Viikari J, Vink J, Waeber G, Warrington N, Widen E, Willemsen G, Wright A, Zanke B, Zgaga L, Boehnke M, d'Adamo A, de Geus E, Demerath E, den Heijer M, Eriksson J, Ferrucci L, Gieger C, Gudnason V, Hayward C, Hengstenberg C, Hudson T, Järvelin M, Kogevinas M, Loos R, Martin N, Metspalu A, Pennell C, Penninx B, Perola M, Raitakari O, Salomaa V, Schreiber S, Schunkert H, Spector T, Stumvoll M, Uitterlinden A, Ulivi S, van der Harst P, Vollenweider P, Völzke H, Wareham N, Wichmann H, Wilson J, Rudan I, Xue Y, Zeggini E


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.

Published in

HUMAN MOLECULAR GENETICS


Year 2012
Impact Factor (2012) 7.692
Volume 21
Issue 21
Pages 4805 - 4815
Open Access nein
Peer reviewed ja
Article type Original article
Article state published - printed
DOI 10.1093/hmg/dds304
PubMed-ID 22843499

Common journal data

Short name: HUM MOL GENET
ISSN: 0964-6906
eISSN: 1460-2083
Country: ENGLAND
Language: English
Categories:
  • GENETICS & HEREDITY
  • BIOCHEMISTRY & MOLECULAR BIOLOGY


Impact factor trend

Year Impact Factor
2008 7.249
2009 7.386
2010 8.058
2011 7.636
2012 7.692
2013 6.677
2014 6.393
2015 5.985
2016 5.34
2017 4.902
2018 4.544
2019 5.1
2020 6.15
2021 5.121
2022 3.5
2023 3.1
2024 3.2

Departments

Community Medicine

Projects

GANI_MED Greifswald Approach to Individualized Medicine (Projektverbund)

Departments

Community Medicine

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