Originalartikel | erschienen - Druck | peer reviewed
Genome-wide meta-analysis of common variant differences between men and women.
HUMAN MOLECULAR GENETICS
2012 ;
21(21):
4805 - 4815
Bibliometrische Indikatoren
Impact Factor = 7,692
Zitierhäufigkeit nach WOS = 20
DOI = 10.1093/hmg/dds304
PubMed-ID = 22843499
Autoren
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
Beteiligte Einrichtungen
Zentrum für Zahn-, Mund- und Kieferheilkunde / Poliklinik für Zahnärztliche Prothetik, Alterszahnheilkunde und Medizinische Werkstoffkunde
Institut für Community Medicine / Abt. Versorgungsepidemiologie und Community Health
Institut für Community Medicine / Abt. SHIP KEF
Interfakultäres Institut für Genetik und Funktionelle Genomforschung / Abt. Funktionelle Genomforschung
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.
Veröffentlicht in
HUMAN MOLECULAR GENETICS
| Jahr | 2012 |
| Impact Factor (2012) | 7,692 |
| Volume | 21 |
| Issue | 21 |
| Seiten | 4805 - 4815 |
| Open Access | nein |
| Peer reviewed | ja |
| Artikelart | Originalartikel |
| Artikelstatus | erschienen - Druck |
| DOI | 10.1093/hmg/dds304 |
| PubMed-ID | 22843499 |
Allgemeine Daten zur Fachzeitschrift
Kurzbezeichnung: HUM MOL GENET
ISSN: 0964-6906
eISSN: 1460-2083
Land: ENGLAND
Sprache: English
Kategorie(n):
Impact Factor Entwicklung
ISSN: 0964-6906
eISSN: 1460-2083
Land: ENGLAND
Sprache: English
Kategorie(n):
- PHARMACOLOGY & PHARMACY
Impact Factor Entwicklung
| Jahr | 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 |
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GANI_MED Teilprojekt PB2 1: Kohorte 1 - Kardiovaskuläre Erkrankungen
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