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A Genome-Wide Association Study of Neuroticism in a Population-Based Sample

Overview of attention for article published in PLOS ONE, July 2010
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Title
A Genome-Wide Association Study of Neuroticism in a Population-Based Sample
Published in
PLOS ONE, July 2010
DOI 10.1371/journal.pone.0011504
Pubmed ID
Authors

Federico C. F. Calboli, Federica Tozzi, Nicholas W. Galwey, Athos Antoniades, Vincent Mooser, Martin Preisig, Peter Vollenweider, Dawn Waterworth, Gerard Waeber, Michael R. Johnson, Pierandrea Muglia, David J. Balding

Abstract

Neuroticism is a moderately heritable personality trait considered to be a risk factor for developing major depression, anxiety disorders and dementia. We performed a genome-wide association study in 2,235 participants drawn from a population-based study of neuroticism, making this the largest association study for neuroticism to date. Neuroticism was measured by the Eysenck Personality Questionnaire. After Quality Control, we analysed 430,000 autosomal SNPs together with an additional 1.2 million SNPs imputed with high quality from the Hap Map CEU samples. We found a very small effect of population stratification, corrected using one principal component, and some cryptic kinship that required no correction. NKAIN2 showed suggestive evidence of association with neuroticism as a main effect (p < 10(-6)) and GPC6 showed suggestive evidence for interaction with age (p approximately = 10(-7)). We found support for one previously-reported association (PDE4D), but failed to replicate other recent reports. These results suggest common SNP variation does not strongly influence neuroticism. Our study was powered to detect almost all SNPs explaining at least 2% of heritability, and so our results effectively exclude the existence of loci having a major effect on neuroticism.

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Geographical breakdown

Country Count As %
Germany 2 2%
United Kingdom 1 1%
Iceland 1 1%
United States 1 1%
Unknown 93 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Researcher 12 12%
Student > Master 11 11%
Professor > Associate Professor 7 7%
Professor 5 5%
Other 18 18%
Unknown 23 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 20%
Psychology 16 16%
Medicine and Dentistry 11 11%
Neuroscience 9 9%
Biochemistry, Genetics and Molecular Biology 7 7%
Other 9 9%
Unknown 26 27%