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Microsatellite polymorphisms associated with human behavioural and psychological phenotypes including a gene-environment interaction

Overview of attention for article published in BMC Medical Genomics, February 2017
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Title
Microsatellite polymorphisms associated with human behavioural and psychological phenotypes including a gene-environment interaction
Published in
BMC Medical Genomics, February 2017
DOI 10.1186/s12881-017-0374-y
Pubmed ID
Authors

Andrew T. M. Bagshaw, L. John Horwood, David M. Fergusson, Neil J. Gemmell, Martin A. Kennedy

Abstract

The genetic and environmental influences on human personality and behaviour are a complex matter of ongoing debate. Accumulating evidence indicates that short tandem repeats (STRs) in regulatory regions are good candidates to explain heritability not accessed by genome-wide association studies. We tested for associations between the genotypes of four selected repeats and 18 traits relating to personality, behaviour, cognitive ability and mental health in a well-studied longitudinal birth cohort (n = 458-589) using one way analysis of variance. The repeats were a highly conserved poly-AC microsatellite in the upstream promoter region of the T-box brain 1 (TBR1) gene and three previously studied STRs in the activating enhancer-binding protein 2-beta (AP2-β) and androgen receptor (AR) genes. Where significance was found we used multiple regression to assess the influence of confounding factors. Carriers of the shorter, most common, allele of the AR gene's GGN microsatellite polymorphism had fewer anxiety-related symptoms, which was consistent with previous studies, but in our study this was not significant following Bonferroni correction. No associations with two repeats in the AP2-β gene withstood this correction. A novel finding was that carriers of the minor allele of the TBR1 AC microsatellite were at higher risk of conduct problems in childhood at age 7-9 (p = 0.0007, which did pass Bonferroni correction). Including maternal smoking during pregnancy (MSDP) in models controlling for potentially confounding influences showed that an interaction between TBR1 genotype and MSDP was a significant predictor of conduct problems in childhood and adolescence (p < 0.001), and of self-reported criminal behaviour up to age 25 years (p ≤ 0.02). This interaction remained significant after controlling for possible confounders including maternal age at birth, socio-economic status and education, and offspring birth weight. The potential functional importance of the TBR1 gene's promoter microsatellite deserves further investigation. Our results suggest that it participates in a gene-environment interaction with MDSP and antisocial behaviour. However, previous evidence that mothers who smoke during pregnancy carry genes for antisocial behaviour suggests that epistasis may influence the interaction.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 14%
Student > Bachelor 11 11%
Researcher 10 10%
Student > Ph. D. Student 9 9%
Student > Doctoral Student 6 6%
Other 12 12%
Unknown 35 36%
Readers by discipline Count As %
Psychology 16 16%
Medicine and Dentistry 12 12%
Biochemistry, Genetics and Molecular Biology 5 5%
Neuroscience 4 4%
Nursing and Health Professions 3 3%
Other 15 15%
Unknown 42 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 March 2017.
All research outputs
#17,289,387
of 25,382,440 outputs
Outputs from BMC Medical Genomics
#1,315
of 2,444 outputs
Outputs of similar age
#269,926
of 424,986 outputs
Outputs of similar age from BMC Medical Genomics
#20
of 29 outputs
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