Molecular genetic contributions to socioeconomic status and intelligence

Marioni, Riccardo E., Davies, Gail, Hayward, Caroline, Liewald, Dave, Kerr, Shona M., Campbell, Archie, Luciano, Michelle, Smith, Blair H., Padmanabhan, Sandosh, Hocking, Lynne J., Hastie, Nicholas D., Wright, Alan F., Porteous, David J., Visscher, Peter M. and Deary, Ian J. (2014) Molecular genetic contributions to socioeconomic status and intelligence. Intelligence (Kidlington), 44 1: 26-32. doi:10.1016/j.intell.2014.02.006

Author Marioni, Riccardo E.
Davies, Gail
Hayward, Caroline
Liewald, Dave
Kerr, Shona M.
Campbell, Archie
Luciano, Michelle
Smith, Blair H.
Padmanabhan, Sandosh
Hocking, Lynne J.
Hastie, Nicholas D.
Wright, Alan F.
Porteous, David J.
Visscher, Peter M.
Deary, Ian J.
Title Molecular genetic contributions to socioeconomic status and intelligence
Journal name Intelligence (Kidlington)   Check publisher's open access policy
ISSN 0160-2896
Publication date 2014-01-01
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.intell.2014.02.006
Open Access Status DOI
Volume 44
Issue 1
Start page 26
End page 32
Total pages 7
Place of publication Camden, London, United Kingdom
Publisher Elsevier Ltd
Language eng
Subject 3205 Experimental and Cognitive Psychology
1201 Architecture
3204 Developmental and Educational Psychology
Abstract Education, socioeconomic status, and intelligence are commonly used as predictors of health outcomes, social environment, and mortality. Education and socioeconomic status are typically viewed as environmental variables although both correlate with intelligence, which has a substantial genetic basis. Using data from 6815 unrelated subjects from the Generation Scotland study, we examined the genetic contributions to these variables and their genetic correlations. Subjects underwent genome-wide testing for common single nucleotide polymorphisms (SNPs). DNA-derived heritability estimates and genetic correlations were calculated using the 'Genome-wide Complex Trait Analyses' (GCTA) procedures. 21% of the variation in education, 18% of the variation in socioeconomic status, and 29% of the variation in general cognitive ability was explained by variation in common SNPs (SEs. ~. 5%). The SNP-based genetic correlations of education and socioeconomic status with general intelligence were 0.95 (SE 0.13) and 0.26 (0.16), respectively. There are genetic contributions to intelligence and education with near-complete overlap between common additive SNP effects on these traits (genetic correlation. ~. 1). Genetic influences on socioeconomic status are also associated with the genetic foundations of intelligence. The results are also compatible with substantial environmental contributions to socioeconomic status.
Keyword Education
Generation scotland
Socioeconomic status
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID CZD/16/6/4
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2015 Collection
UQ Diamantina Institute Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 34 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 46 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Tue, 29 Apr 2014, 10:18:45 EST by System User on behalf of UQ Diamantina Institute