Effects of gene copy number variants on personality and mood in ageing cohorts

Luciano, Michelle; MacLeod, Andy; Payton, Antony; Davies, Gail; Ke, Xiayi; Tenesa, Albert; Ollier, William; Starr, John M.; Horan, Michael A.; Pendleton, Neil; Thomson, Pippa A.; Porteous, David J.; Deary, Ian J.

doi:10.1016/j.paid.2011.12.019

Cited by 6 publications

(5 citation statements)

References 38 publications

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“…The Hardy-Weinberg test was used in this sample; however, when performing the analysis of genotypic homogeneity (genotypes C/C, C/T and T/T) vs. the four groups, (3x4), no trend was observed between the SNP rs6313 and the individuals from the different analyzed groups (F=4.517, P=0.612). In contrast to the subjects from Japan, in this population from northeastern Mexico, there was no significant genetic association found, which is explained by the close relationship between genetic factors and the environment and by its influence to cause individual differences in genes related to personality traits, cognitive skills, and specifically, bruxism (31,32). However, out of the four groups, the farthest from significance was the control group with P=0.82, unlike the combined bruxism group with P=0.10.…”

Section: Alleles -----------------------------------Groupsmentioning

confidence: 56%

The phenotype, psychotype and genotype of bruxism

Fierro

Flores

et al. 2018

biom rep

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Abstract. Bruxism is a jaw muscle activity that involves physio-pathological, psycho-social, hereditary and genetic factors. The purpose of this study was to determine the associations between self-reported bruxism, anxiety, and neuroticism personality trait with the rs6313 polymorphism in the gene HTR2A. A sample of 171 subjects of both sexes (14-53 years of age) was included. The control group (group 1, n=60) exhibited no signs or symptoms of bruxism. The case group had signs and symptoms of bruxism (n=112) and was subdivided into group 2, bruxism during sleep (n=22); group 3, awake bruxism (n=44); and group 4 combined bruxism (n=46). As diagnostic tools, the Self-Reported Bruxism Questionnaire (SBQ), the Beck Anxiety Inventory (BAI) and the Eysenck Personality Questionnaire Revised-Abbreviated (EPQR-A) were used. HTR2A (rs6313) SNPs were determined by qPCR for all the participants. The packages SPSS, maxLik and EPI-INFO were used for data analysis. The combined bruxism group reported higher scores in bruxism symptoms, mean = 32.21; anxiety symptoms, mean = 14.80; and neuroticism, mean = 3.26. Combined bruxism was associated with a higher degree of neuroticism (OR=15.0; CI 1.52-148.32) and anxiety in grade 3-moderate (OR=3.56; CI 1.27-10.03), and grade 4-severe (OR=8.40; CI 1.45-48.61), as determined using EPISODE computer software. Genotypic homogeneity analysis revealed no significant differences in allele frequency (P=0.612) among the four groups. The population was in Hardy-Weinberg equilibrium (maxLik package). In conclusion, the three instruments confirm traits of bruxism, anxiety and neuroticism in individuals with bruxism. These data were ratified when the sample was divided by genotypic homo geneity. On the other hand, there was no significant difference between the groups in the SNPs rs6313 from the HTR2A gene.

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Section: Alleles -----------------------------------Groupsmentioning

confidence: 56%

The phenotype, psychotype and genotype of bruxism

Fierro

Flores

et al. 2018

biom rep

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“…There are no rare variant studies on personality, but in the only study (Power & Pluess, 2015) to estimate the heritability of all the Five-Factor Model domains using genomewide SNP data (N = 5,011), only neuroticism and openness showed significant genetic influences, suggesting that rare variants might be important. With regard to structural variants, preliminary investigations do not show an effect of large copy number variants on personality (Luciano, MacLeod et al, 2012). Additionally, by using an additive composite of personality SNP effects we may have restricted the prediction of wellbeing.…”

Section: Discussionmentioning

confidence: 96%

Personality Polygenes, Positive Affect, and Life Satisfaction

et al. 2016

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Approximately half of the variation in wellbeing measures overlaps with variation in personality traits. Studies of non-human primate pedigrees and human twins suggest that this is due to common genetic influences. We tested whether personality polygenic scores for the NEO Five-Factor Inventory (NEO-FFI) domains and for item response theory (IRT) derived extraversion and neuroticism scores predict variance in wellbeing measures. Polygenic scores were based on published genome-wide association (GWA) results in over 17,000 individuals for the NEO-FFI and in over 63,000 for the IRT extraversion and neuroticism traits. The NEO-FFI polygenic scores were used to predict life satisfaction in 7 cohorts, positive affect in 12 cohorts, and general wellbeing in 1 cohort (maximal N = 46,508). Meta-analysis of these results showed no significant association between NEO-FFI personality polygenic scores and the wellbeing measures. IRT extraversion and neuroticism polygenic scores were used to predict life satisfaction and positive affect in almost 37,000 individuals from UK Biobank. Significant positive associations (effect sizes <0.05%) were observed between the extraversion polygenic score and wellbeing measures, and a negative association was observed between the polygenic neuroticism score and life satisfaction. Furthermore, using GWA data, genetic correlations of −0.49 and −0.55 were estimated between neuroticism with life satisfaction and positive affect, respectively. The moderate genetic correlation between neuroticism and wellbeing is in line with twin research showing that genetic influences on wellbeing are also shared with other independent personality domains.

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“…No significant genetic connections were found within the population of the study (north-eastern Mexico), which can be explained by a close connection between genetic factors plus the environment, as well as its influence on causing individual differences in genes associated with personality traits, cognitive abilities, and particularly, bruxism. 29,30 Wieckiewicz et al, showed that there are associations between SNPs within the HTRA2 gene and Bruxism episode index values. 23 The bruxism episode index increased considerably in homozygous HTR2A rs6313 TT patients compared to heterozygous patients.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Association between 5-Hydroxytryptamine Receptor 2A Gene (rs6313 and rs4941573) Polymorphism and Sleep Bruxism: A Meta-analysis

Motahari,

Katebi,

Pournaghi-Azar

et al. 2023

Sleep Sci

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Genetic factors may influence sleep bruxism's pathogenesis. Even though the association between the, 5-hydroxytryptamine 2A (5-HTR2A) serotonin receptor gene polymorphism and sleep bruxism has been investigated, inconsistent findings have been discovered. As a result, meta-analysis was performed to gather complete results on this topic. PubMed, Web of Science, Embase, and Scopus databases were searched for all papers containing English abstracts until April 2022. Medical Subject Heading (MESH) terms plus unrestricted keywords were used in the searches. The Cochrane test and the I2 statistic were used to determine the heterogeneity percentage in numerous researches. Comprehensive Meta-analysis v.2.0 software was used to conduct the analyses. Five properly fitting papers were chosen for meta-analysis from the 39 articles acquired during the initial search. The meta-analysis revealed that the 5-HTR2A polymorphism has no link with sleep bruxism susceptibility across the models studied (P-Value > 0.05). The combined odds ratio analysis revealed no statistically significant association between the 5-HTR2A gene polymorphism with sleep bruxism. Nonetheless, these findings require confirmation through researches with large sample sizes. Identifying genetic markers for sleep bruxism may help clarify and expand our current knowledge of bruxism physiopathology.

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Effects of gene copy number variants on personality and mood in ageing cohorts

Cited by 6 publications

References 38 publications

The phenotype, psychotype and genotype of bruxism

The phenotype, psychotype and genotype of bruxism

Personality Polygenes, Positive Affect, and Life Satisfaction

Association between 5-Hydroxytryptamine Receptor 2A Gene (rs6313 and rs4941573) Polymorphism and Sleep Bruxism: A Meta-analysis

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