Orozco, G.* ; Ioannidis, J.P.* ; Morris, A.* ; Zeggini, E.* ; DIAGRAM Consortium (Gieger, C. ; Grallert, H. ; Huth, C. ; Illig, T. ; Klopp, N. ; Meitinger, T. ; Petersen, A.-K. ; Thorand, B. ; Wichmann, H.-E.)
Sex-specific differences in effect size estimates at established complex trait loci.
Int. J. Epidemiol. 41, 1376-1382 (2012)
BACKGROUND: Genetic differences between men and women may contribute to sex differences in prevalence and progression of many common complex diseases. Using the WTCCC GWAS, we analysed whether there are sex-specific differences in effect size estimates at 142 established loci for seven complex diseases: rheumatoid arthritis, type 1 diabetes (T1D), Crohn's disease, type 2 diabetes (T2D), hypertension, coronary artery disease and bipolar disorder. METHODS: For each Single nucleotide polymorphism (SNP), we calculated the per-allele odds ratio for each sex and the relative odds ratios (RORs; the effect size is higher in men with ROR greater than one). RORs were then meta-analysed across loci within each disease and across diseases. RESULTS: For each disease, summary RORs were not different from one, but there was between-SNP heterogeneity in the RORs for T1D and T2D. Four loci in T1D, three in Crohn's disease and three in T2D showed differences in the genetic effect between men and women (P < 0.05). We probed these differences in additional independent replication samples for T1D and T2D. The differences remained for the T1D loci CTSH, 17q21 and 20p13 and the T2D locus BCL11A, when WTCCC data and replication data were meta-analysed. Only CTSH showed different genetic effect between men and women in the replication data alone. CONCLUSION: Our results exclude the presence of large and frequent differences in the effect size estimates between men and women for the established loci in the seven common diseases explored. Documenting small differences in genetic effects between men and women requires large studies and systematic evaluation.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Genetic Predisposition to Disease; Genome-Wide Association Study; Odds ratio; Sex; GENOME-WIDE ASSOCIATION; CORONARY-ARTERY-DISEASE; LARGE-SCALE ASSOCIATION; SUSCEPTIBILITY LOCI; BIPOLAR-DISORDER; CROHNS-DISEASE; BLOOD-PRESSURE; METAANALYSIS; VARIANTS; RISK
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2012
Prepublished im Jahr
HGF-Berichtsjahr
2012
ISSN (print) / ISBN
0300-5771
e-ISSN
1464-3685
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 41,
Heft: 5,
Seiten: 1376-1382
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Oxford University Press
Verlagsort
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
POF Topic(s)
30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504000-002
G-504200-002
G-504100-001
Förderungen
Copyright
Erfassungsdatum
2012-11-23