Abstract
Association studies between the NEO five factor personality inventory and COMT rs4680 have focused on young adults and the results have been inconsistent. However, personality and cortical changes with age may put older adults in a more sensitive range for detecting a relationship. The present study examined associations of COMT rs4680 and personality in older adults.
Genetic association analyses were carried out between the NEO and the targeted COMT rs4680 in a large, well-characterized sample of healthy, cognitively normal older adults (N = 616, mean age = 69.26 years).
Three significant associations were found: participants with GG genotype showed lower mean scores on Neuroticism (p = 0.039) and higher scores on Agreeableness (p = 0.020) and Conscientiousness (p = 0.006) than participants with AA or AG genotypes.
These results suggest that older adults with higher COMT enzymatic activity (GG), therefore lower dopamine level, have lower Neuroticism scores, and higher Agreeableness and Conscientiousness scores. This is consistent with a recent model of phasic and tonic dopamine release suggesting that even though GG genotype is associated with lower tonic dopamine release, the phasic release of dopamine might be optimal for a more adaptive personality profile.
Keywords: Genetic association, Personality, Dopamine, COMT rs4680 polymorphism, Older adults
1. INTRODUCTION
It is well-known that personality traits are highly heritable (e.g. Riemann et. al., 1997), however despite the considerable progress in understanding the human genetic architecture of personality, genetic associations have been quite inconsistent in the literature. Furthermore, several studies have demonstrated the role of genetic factors in longevity (e.g. Grady et. al., 2013) and it has also been proposed that these genetic effects might be mediated via personality traits (Eaton et. al., 2012) indicating the importance of personality in predicting longevity. Also, personality traits, especially low Conscientiousness (Duchek et. al., 2007; Wilson et. al., 2007) or high neuroticism and low extraversion (Johansson et. al., 2014) have been shown to be risk factors for Alzheimer Disease which makes this a particularly important topic for the growing older adult population.
Research on the neural systems underlying components of personality suggests there may be some linkage to more frontally mediated dopaminergic activity. For example, DeYoung et. al., (2010) have reported that the volume in lateral prefrontal cortex, which is rich in dopaminergic pathways, covaried with Conscientiousness (i.e., larger volume was associated with higher Conscientiousness). Similarly, Jackson et. al. (2011) found that higher Neuroticism and lower Conscientiousness were associated with decreased volume in frontal areas in cognitively normal older adults.
COMT is one of several enzymes that degrade catecholamines in the brain such as dopamine, epinephrine, and norepinephrine (Grossman et. al., 1992). The COMT gene plays an important role in coding an enzyme called Catechol-O-methyltransferase (Chen et. al., 2004). It has been proposed that people with Val alleles (G allele) of rs4680 have increased COMT activity and lower prefrontal extracellular dopamine compared with those with the Met (A allele) substitution (Chen et. al., 2004). Since the COMT enzyme is one of the most important enzymes breaking down dopamine in the prefrontal cortex (Chen et. al., 2004) and the prefrontal cortex has an important role in human personality (e.g. DeYoung et. al., 2010), one would predict associations between COMT and personality traits. However, as noted above, such a link has been inconsistent in younger adults. Because there are prefrontal volumetric changes (e.g. prefrontal white matter decreased) in older adults compared to young adults (e.g. Raz et. al., 2005; Salat et. al., 2005), it is possible that an older adult population may be more sensitive to detect a COMT personality link (Martin et. al., 2002).
A meta-analysis (Ebstein 2006) of genetic association studies with personality indicated that the most frequently analyzed gene polymorphisms in association with personality traits are linked to the dopaminergic and the serotonergic systems. Although there are several studies on dopamine related polymorphisms and personality, the results from these studies have been inconsistent. Several association studies have focused on the possible association between the Catechol-O-methyltransferase (COMT) rs4680 dopamine related single-nucleotide polymorphism (SNP) and personality (Calati et. al., 2011) measured by different personality questionnaires (e.g. Baeken et. al., 2014). For a summary of genetic association studies regarding COMT rs4680 and personality traits measured by the Neuroticism-Extraversion-Openness Five-Factor Inventory (NEO-FFI) see Table 1.
Table 1.
Summary of COMT rs4680 and NEO association studies
| Authors | Sample | Mean age in years | Results |
|---|---|---|---|
| Reuter et al., 2005 | 363 healthy Caucasian students | 24.4 | GG higher Extraversion, Exploratory Excitability |
| Stein et al., 2005 | 497 undergraduate students | 18.9 | AA females lower Extraversion, higher on Neuroticism |
| Hoth et al., 2006 | 486 controls | 38.5 | AA lower Extraversion, higher Neuroticism |
| Tochigi et al., 2006 | 256 healthy Japanese | 37.4 | n.s. |
| Urata et al., 2007 | 219 Japanese female students | 20 | n.s. |
| Sheldrick et al., 2008 | 522 healthy controls | 24.8 | n.s. |
| Aoki et al., 2011 | 143 healthy Japanese | 19.9 | GG lower Agreeableness, Conscientiousness |
| Pelka-Wysiecka et al., 2012 | 406 healthy Polish subjects | 38.5 | AA males lower Neuroticism |
| Lehto et al., 2013 | 593 young Caucasians | age 15, 18 and 25 | GG females higher Neuroticism |
| Konishi et al., 2014 | 470 panic disorder; 458 controls | 37.9; 36.6 | AA males with panic disorder lower Openness |
Notes. Genetic association studies of COMT rs4680 and NEO-FFI and NEO PI-R
As shown in Table 1, there is a clear emphasis on younger adults in the past association studies. Hence, the aim of the present study was to analyze the possible association between COMT rs4680 SNP and personality traits as measured by the NEO Five-Factor Inventory (NEOFFI; Costa and McCrae 1992) in a large sample of well-characterized older adults.
2. METHODS
2.1. Sample
A total of 616 unrelated cognitively normal older adults participated in this study (meanage = 69.26 years old, SD = 9.7; age range between 45 and 96 years; mean education = 15.50 years, SD = 2.8; gender = 273 males/343 females). Ethnicity of the participants was mainly Caucasian (91.2% of the sample), with fewer Afro-American (8.5%) and Asian 0.3%) participants. Participants were recruited from the Charles and Joanne F. Knight Alzheimer Disease Research Center (ADRC). This study was approved by the Institutional Review Board at WUSTL; all participants provided informed consent at the beginning of the study. All participants were originally screened for depression, untreated hypertension, reversible dementias, and other disorders that are potential causes of cognitive impairment. The inclusionary and exclusionary criteria for AD were consistent with the NINCDS-ADRDA criteria (McKhann et. al., 1984). For screening depression, the Geriatric Depression Scale (Yesavage et. al., 1982) was used, and highly trained neurologists and psychiatrists screened for other diseases that might produce cognitive decline. All participants were screened for dementia using the Clinical Dementia Rating (CDR) scale (Morris 1993), and all were at the CDR 0 level, which indicates no clinical dementia. The CDR is based on a 90-min interview that assesses both the participant and also relies on information from a collateral source concerning the participant. Genotype distribution of COMT rs4680 among participants excluded and included into the final database was not significantly different (Chi square = 0.624, p = 0.732).
2.2. Phenotype measures
The NEO Five-Factor Inventory (Costa and McCrae 1992) – a shortened version of the Revised NEO Personality Inventory – was administered to each participant. This questionnaire measures Neuroticism, Extraversion, Openness, Agreeableness and Conscientiousness with 60 items. Every item is rated on a 1-5 scale based on the answers from ‘strongly agree’ to ‘strongly disagree’. The NEO-FFI is a commonly used personality trait questionnaire which is highly correlated with the NEI-PI-R and has strong internal consistency (Costa and McCrae 1992).
The descriptive statistics for the NEO factors are presented in Table 2. To test the internal consistency of the self-report phenotypes, Cronbach Alpha values were calculated. In the present sample reliability coefficients were satisfactory for all factors (Table 2). It is noteworthy that the mean scores of the present sample are consistent with norms for another similar adult sample (McCrae and Costa 2004).
Table 2.
Descriptive statistics of the NEO-FFI
| N | Cronbach Alpha | Mean | SD | Min | Max | |
|---|---|---|---|---|---|---|
| Neuroticism | 616 | 0.866 | 15.318 | 7.43 | 0 | 39 |
| Extraversion | 616 | 0.808 | 29.763 | 6.37 | 10 | 45 |
| Openness | 616 | 0.703 | 28.615 | 5.73 | 10 | 46 |
| Agreeableness | 616 | 0.758 | 34.554 | 5.32 | 7 | 47 |
| Conscientiousness | 616 | 0.864 | 34.031 | 6.75 | 8 | 48 |
2.3. Genetic data
Our sample was included in a previous genome wide association study of Alzheimer disease described elsewhere (Cruchaga et. al., 2013) from which COMT rs4680 genotypes was apriori targeted for the present study. Details regarding the genotyping procedures are provided in Cruchaga et. al. (2013).
The original dataset contained personality, age and gender data for 644 participants, from which 616 had COMT rs4680 data available. Thus, the call rate of the present sample was 94.92%. The inclusion criteria for the further analyses included available personality, COMT rs4680, age and gender data. Thus, genetic association analyses were carried out on a sample of 616 participants. COMT rs4680 was in Hardy-Weinberg equilibrium, there were no significant differences between the distributions of observed and calculated genotype frequencies (Chi-square = 0.045, p = 0.978). Observed genotype distribution of the studied COMT polymorphisms was: AA: 145 (23.5%), AG: 305 (49.5%), GG: 166 (26.9%).
2.4. Statistical Analysis
To test the reliability of the genotype frequencies Hardy-Weinberg equilibrium test was carried out (Hardy 1908). Independent-Samples t-tests were used to assess gender differences by the phenotypes, and Chi-square test was used for examining the gender differences by the genotypes. Relationship with age was tested by correlation analyses with the phenotypes and by ANOVA with the genotypes. One-way Analyses of Covariance (ANCOVA) were used to test genetic associations of single marker analyses where age and gender were used as covariates, coded as dummy variables. Post-hoc analyses with grouped genotypes were carried out to test the dominant model.
3. RESULTS
3.1. Influence of Age and Gender
Because there is evidence that both age and gender modulate personality traits (e.g. Costa et. al., 2001, Ebstein and Belmaker 1997) we examined the relationship between age and gender on the NEO factor scores. Females showed significantly higher mean scores than males on Neuroticism (16.12 vs. 14.31), t(614) = –3.020, p = 0.003; Openness (29.10 vs. 28.01), t(614) = – 2.356, p = 0.019; and Agreeableness (35.87 vs. 32.89), t(614) = –7.192; p < 0.001. There were no significant gender differences on Extraversion and Conscientiousness. There were significant correlations between age and Extraversion (r = -0.116, p = 0.004) and Openness (r = -0.180, p < 0.001). There were no significant correlations between age and Neuroticism, Agreeableness and Conscientiousness.
In addition, because there is evidence that genotype distributions change as a function of age (e.g. Gierman et. al., 2014) and gender (e.g. Barnett et. al., 2007), it is important to test the possible association between COMT rs4680 and age and gender. In the present sample there were no significant differences by gender in the distribution of the alleles. However, the ANOVA indicated that age varied as a function of COMT rs4680 with the A allele being associated with increased age, [F(2,613) = 5.863, p = 0.003, η2 = 0.019, power = 0.874]. The mean age for the AA genotype group was 71.29 years, for the AG group 69.23 years and for the GG group 67.54 years.
Because there is evidence of relations among age and gender to either COMT and/or personality, both age and gender were used as covariates in all of the following association analyses.
3.2. Association between COMT rs4680 SNP and personality traits
ANCOVAs were carried out between NEO-FFI factors and COMT rs4680. Significant associations were observed between COMT and three factors of the NEO-FFI (Table 3): Neuroticism [F(2,611) = 3.262, p = 0.039, 2 = 0.011, power = 0.620], Agreeableness [F(2,611) = 3.922, p = 0.020, η2 = 0.013, power = 0.706] and Conscientiousness [F(2,611) = 5.174, p = 0.006, η2 = 0.017, power = 0.827]. Participants with the GG genotype showed lower mean scores on Neuroticism and higher mean scores on Agreeableness and Conscientiousness than participants with AA or AG genotypes. Since the mean factor scores in the AA and AG genotype groups were similar, we assumed a dominance model (as also used in other studies, e.g. Reuter and Hennig 2005) and therefore grouped together the AA and AG genotype groups for further post hoc analyses.
Table 3.
Association analyses of COMT and NEO-FFI factors
| COMT | Grouped COMT genotypes | |||||||
|---|---|---|---|---|---|---|---|---|
| NEO-FFI factors | AA | AG | GG | p | AA+AG | GG | p | |
| Neuroticism | Mean | 15.08 | 16.04 | 14.21 | 0.039 | 15.73 | 14.21 | 0.020 |
| SD | 7.252 | 7.387 | 7.560 | 7.349 | 7.560 | |||
| N | 145 | 305 | 166 | 450 | 166 | |||
| Extraversion | Mean | 29.74 | 29.55 | 30.17 | 0.639 | 29.61 | 30.17 | 0.451 |
| SD | 6.036 | 6.441 | 6.537 | 6.307 | 6.537 | |||
| N | 145 | 305 | 166 | 450 | 166 | |||
| Openness | Mean | 27.92 | 28.81 | 28.87 | 0.501 | 28.52 | 28.87 | 0.759 |
| SD | 5.335 | 5.836 | 5.862 | 5.689 | 5.862 | |||
| N | 145 | 305 | 166 | 450 | 166 | |||
| Agreeableness | Mean | 34.52 | 34.18 | 35.27 | 0.020 | 34.29 | 35.27 | 0.008 |
| SD | 5.371 | 5.471 | 4.927 | 5.435 | 4.927 | |||
| N | 145 | 305 | 166 | 450 | 166 | |||
| Conscientiousness | Mean | 34.25 | 33.24 | 35.29 | 0.006 | 33.57 | 35.29 | 0.006 |
| SD | 6.646 | 7.134 | 5.876 | 6.989 | 5.876 | |||
| N | 145 | 305 | 166 | 450 | 166 | |||
Notes. Significant results are labeled in bold
When analyzing the GG vs. AA+AG groups, the results indicated that the GG genotype group had significantly lower mean scores on Neuroticism (14.21) than the AA+AG group (15.73), [F(1,612) = 5.461, p = 0.020, η2 = 0.008, power = 0.647]. Also, the GG group showed significantly higher mean scores on Agreeableness (35.27 vs. 34.29) and Conscientiousness (35.39 vs. 33.57), [F(1,612) = 7.204, p = 0.008, η2 = 0.012, power = 0.764; F(1,612) = 7.602, p = 0.006, η2 = 0.012, power = 0.786, respectively].
In order to more fully explore the possible modulating effects of age and gender on the COMT personality linkage, two-way ANOVAs examining the possible COMT x Gender interactions (COMT GG vs. AG/AA x Gender) and regression analyses examining the possible COMT x age interaction effects were conducted on each of the 5 personality traits. These analyses did not yield any significant interactions. Finally, there were no significant associations between COMT rs4680 SNP and the Extraversion or the Openness factors (both p's > 0.05).
4. DISCUSSION
The purpose of the present study was to examine the association between COMT rs4680 and personality in healthy older adults. Since the dopamine system is involved in anxiety related traits (e.g. Laakso et. al., 2003), positive emotionality and incentive motivation which drive human behavior (e.g. Depue and Collins 1999), previous literature has linked gene polymorphisms associated with the dopamine system to various personality traits (for review see Ebstein 2006); for genome-wide association study see Kim et. al., 2013). However, relatively few studies have specifically targeted the role of COMT in personality, as conceptualized by the Big Five model of personality traits (Table 1), and most of these studies have targeted younger adult samples. As can be seen in Table 1, the results of such studies have produced inconsistent results.
The present results produced reliable associations between COMT and three factors of the NEO-FFI in a large sample of well-screened cognitively healthy older adults. Participants with the GG genotype had lower mean scores on Neuroticism, and higher scores on Agreeableness and Conscientiousness than subjects with the AA or AG genotypes. On a molecular level, our results suggest that those with a higher COMT enzymatic activity (GG), therefore a lower dopamine level, have lower Neuroticism scores, and higher Agreeableness and Conscientiousness scores.
In this light, it is interesting to note that Lee et. al., (2005) have reported that individuals who are high in neuroticism have higher central dopaminergic activity utilizing photon emission computed tomography measures. They proposed that higher central dopaminergic activity could cause more sensitive or excessive reactions to perceived stressors, which is one facet of high neuroticism. Thus, our results of higher neuroticism in individuals with lower COMT activity (i.e., higher dopamine levels) are consistent with the Lee et. al., (2005) findings. Regarding Conscientiousness, structural magnetic resonance imaging results suggest that high Conscientiousness is associated with increased volume in lateral prefrontal cortex, a region involved in planning and the voluntary control of behavior (DeYoung et. al., 2010). Since COMT has an important role in releasing enzymes breaking down dopamine in the frontal brain regions, the association between COMT and the personality trait of Conscientiousness is intriguing. The involvement of the dopamine system in reward mechanisms might be a key in the association between COMT and Conscientiousness. Furthermore, Jackson et. al., (2011) have reported an association between decreased volume in frontal areas and high Neuroticism and low Conscientiousness in a sample of cognitively normal older adults. This is interesting in light of findings that high Neuroticism and low Conscientiousness may be risk factors for the onset of Alzheimer's disease (e.g. Duchek et. al., 2007; Wilson et. al., 2007). It is unclear based on the current literature, why high Agreeableness is associated with high COMT activity in the present sample.
4.1. Possible molecular mechanisms
Bilder et. al., (2004) further proposed that the Met (AA) allele, linked with low COMT activity, increases the level of tonic dopamine release, which suppresses phasic release of dopamine, which may result in decreased sensitivity to novel stimuli. They proposed that an analogous mechanism may underlie behavior requiring reinforcement. In this case, carriers of the Met allele, in which the level of phasic dopamine is decreased, will tend to manifest behavior as seeking high levels of additional stimulation (e.g., drug abuse), with the consequence of an individual attempting to increase dopamine to an optimal level. This model suggests that even though the GG genotype is associated with lower tonic dopamine release, the phasic release of dopamine might be optimal decreasing reward seeking behavior and personality traits such as lower Neuroticism, higher Agreeableness and Conscientiousness (as we demonstrated here). Of course, further work will be needed to establish these specific relationships.
4.2. Other genetic association studies
As for other association studies of COMT and the Big Five personality traits (Table 1), our results are in line with the findings of Hoth et. al., (2006) and Stein et. al., (2005) who carried out association analyses on large samples of healthy young adults. They both found that those with the AA genotype showed higher mean scores on Neuroticism.
However, our results are inconsistent with findings from other studies. For example, Pelka-Wysiecka et. al., (2012) reported that AA males showed lower mean scores on Neuroticism in a healthy young adult Polish sample. In relation to Conscientiousness and Agreeableness, Aoki et. al., (2011) reported lower scores on both traits for the COMT GG genotype in a smaller sample of young Japanese adults. Furthermore, some studies have reported no association between COMT genotypes and the Big Five personality traits as measured by the NEO-FFI (Sheldrick et. al., 2008; Tochigi et. al., 2006; Urata et. al., 2007). Of course, it is important to note that all of these studies have focused on younger adult samples and in some studies the sample sizes were relatively small (Aoki et al., 2011, N = 143; Tochigi et al., 2006, N = 256; Urata et al., 2007, N = 219) which could contribute to the inconsistent results. It is also important to note, that different questionnaires measuring personality characteristics may be contributing to the inconsistency in findings. Clearly, further work is needed in this area to better understand the inconsistency in the studies in Table 1.
Our findings regarding age and personality characteristics are consistent with results from the literature suggesting some change in personality traits with increasing age. Meta-analyses indicate that Conscientiousness and Agreeableness are higher in older samples than in younger samples, while Neuroticism, Extraversion and Openness decrease in old age (McCrae et. al., 1999; Roberts et. al., 2006). It has been argued that personality changes during aging are universal. McCrae et. al., (1999) have shown similar patterns of personality change with age across different cultures (German, Italian, Portuguese, Croatian, and South Korean samples). However, the underlying mechanisms for these age-related personality changes are unclear. Based on twin studies, it appears that personality changes with age are primarily due to environmental factors, however there also appears to be some evidence of an epigenetic influence on age related changes in personality (e.g. Briley and Tucker-Drob 2014).
Unfortunately, there are only a few developmental genetic association studies regarding personality and these tend to focus on the genetic influences of personality changes or development during late adolescence and early adulthood. For example, in a longitudinal study of young adults at age 15, 18 and 25, Lehto et. al., (2013) have reported developmental changes in the association between COMT rs4680 and personality from adolescence to early adulthood. They found that the association between the COMT genotype and Conscientiousness increased with age and the COMT association with Neuroticism manifested in women by the time of young adulthood. One might speculate that these associations could be quite different in old age due to cortical changes across the life span (Sowell et. al., 2003). For example, there is ample evidence that changes in the prefrontal cortex are differentially affected by aging (e.g. Head et. al., 2002; Raz and Rodrigue 2006). Thus, the sensitivity of this brain region with age may in turn influence the association between COMT and personality in older adults.
In sum, several pieces of converging evidence provide motivation for examining the relationship between COMT and personality in older adults. Specifically, the relationship between COMT and dopaminergic activity in prefrontal cortex, the changes in prefrontal cortex with increasing age, the changes in personality with age (e.g., increased Conscientiousness) suggest that older adults may provide a more sensitive sample to examine the relationship between COMT and personality. To the best of our knowledge, the possible association between COMT and personality traits in older adults has not been examined yet. One of the important strengths of the present study is the well-characterized, large (N = 616) sample of cognitively normal older adults. In addition, we administered a widely used and reliable personality questionnaire (NEO-FFI). Further work exploring the genetic influences on personality and the modulating effects of different polymorphisms on personality in older adults is needed. Understanding the genetic and molecular influence of the characteristics of older adult's personality traits could contribute to a better understanding of successful aging since personality traits have a significant impact on subjective well-being (DeNeve and Cooper 1998) and longevity (e.g. Friedman et. al., 2010) and both high Neuroticism and low Conscientiousness have been identified as potential risk factors for the onset of Alzheimer's disease (Duchek et. al., 2007; Wilson et. al., 2007).
We examined associations of COMT rs4680 and personality in older adults.
The COMT rs4680 GG genotype associated with lower Neuroticism scores.
GG genotype also associated with higher Agreeableness and Conscientiousness scores.
GG's dopamine release might be optimal for a more adaptive personality profile.
Acknowledgments
FUNDING
This work was supported by National Institutes of Health (grant numbers P50 AG05861, P01 AG 03991, and PO1 AGO26276) by The Hungarian Scientific Research Fund (grant number K100845) and the Rosztoczy Foundation.
Footnotes
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DECLARATION OF INTERESTS
The authors have no competing interests to declare.
REFERENCES
- Aoki J, Iwahashi K, Ishigooka J, Ikeda K. Association study on catechol-O-methyltransferase (COMT) Val158Met gene polymorphism and NEO-FFI. Psychiatry Res. 2011;187(1-2):312–3. doi: 10.1016/j.psychres.2010.09.015. [DOI] [PubMed] [Google Scholar]
- Baeken C, Claes S, De Raedt R. The influence of COMT Val(1)(5)(8)Met genotype on the character dimension cooperativeness in healthy females. Brain Behav. 2014;4(4):515–20. doi: 10.1002/brb3.233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barnett JH, Heron J, Ring SM, Golding J, Goldman D, Xu K, Jones PB. Gender-specific effects of the catechol-O-methyltransferase Val108/158Met polymorphism on cognitive function in children. Am J Psychiatry. 2007;164(1):142–9. doi: 10.1176/ajp.2007.164.1.142. [DOI] [PubMed] [Google Scholar]
- Bilder RM, Volavka J, Lachman HM, Grace AA. The catechol-O-methyltransferase polymorphism: relations to the tonic-phasic dopamine hypothesis and neuropsychiatric phenotypes. Neuropsychopharmacology. 2004;29(11):1943–61. doi: 10.1038/sj.npp.1300542. [DOI] [PubMed] [Google Scholar]
- Briley DA, Tucker-Drob EM. Genetic and environmental continuity in personality development: a meta-analysis. Psychol Bull. 2014;140(5):1303–31. doi: 10.1037/a0037091. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Calati R, Porcelli S, Giegling I, Hartmann AM, Moller HJ, De Ronchi D, Serretti A, Rujescu D. Catechol-o-methyltransferase gene modulation on suicidal behavior and personality traits: review, meta-analysis and association study. J Psychiatr Res. 2011;45(3):309–21. doi: 10.1016/j.jpsychires.2010.07.004. [DOI] [PubMed] [Google Scholar]
- Chen J, Lipska BK, Halim N, Ma QD, Matsumoto M, Melhem S, Kolachana BS, Hyde TM, Herman MM, Apud J. Functional analysis of genetic variation in catechol-O-methyltransferase (COMT): effects on mRNA, protein, and enzyme activity in postmortem human brain. Am J Hum Genet. 2004;75(5):807–21. doi: 10.1086/425589. others. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Costa PT, Jr., Terracciano A, McCrae R,R. Gender differences in personality traits across cultures: robust and surprising findings. J Pers Soc Psychol. 2001;81(2):322–31. doi: 10.1037/0022-3514.81.2.322. [DOI] [PubMed] [Google Scholar]
- Costa PT, McCrae RR. Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) professional manual. Psychological Assessment Resources; Odessa, FL: 1992. [Google Scholar]
- Cruchaga C, Kauwe JS, Harari O, Jin SC, Cai Y, Karch CM, Benitez BA, Jeng AT, Skorupa T, Carrell D. GWAS of cerebrospinal fluid tau levels identifies risk variants for Alzheimer's disease. Neuron. 2013;78(2):256–68. doi: 10.1016/j.neuron.2013.02.026. others. [DOI] [PMC free article] [PubMed] [Google Scholar]
- DeNeve KM, Cooper H. The happy personality: a meta-analysis of 137 personality traits and subjective well-being. Psychol Bull. 1998;124(2):197–229. doi: 10.1037/0033-2909.124.2.197. [DOI] [PubMed] [Google Scholar]
- Depue RA, Collins PF. Neurobiology of the structure of personality: dopamine, facilitation of incentive motivation, and extraversion. Behav Brain Sci. 1999;22(3):491–517. doi: 10.1017/s0140525x99002046. discussion 518-69. [DOI] [PubMed] [Google Scholar]
- DeYoung CG, Hirsh JB, Shane MS, Papademetris X, Rajeevan N, Gray JR. Testing predictions from personality neuroscience. Brain structure and the big five. Psychol Sci. 2010;21(6):820–8. doi: 10.1177/0956797610370159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Duchek JM, Balota DA, Storandt M, Larsen R. The power of personality in discriminating between healthy aging and early-stage Alzheimer's disease. J Gerontol B Psychol Sci Soc Sci. 2007;62(6):P353–61. doi: 10.1093/geronb/62.6.p353. [DOI] [PubMed] [Google Scholar]
- Eaton NR, Krueger RF, South SC, Gruenewald TL, Seeman TE, Roberts BW. Genes, environments, personality, and successful aging: toward a comprehensive developmental model in later life. J Gerontol A Biol Sci Med Sci. 2012;67(5):480–8. doi: 10.1093/gerona/gls090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ebstein RP. The molecular genetic architecture of human personality: beyond self-report questionnaires. Mol Psychiatry. 2006;11(5):427–45. doi: 10.1038/sj.mp.4001814. [DOI] [PubMed] [Google Scholar]
- Ebstein RP, Belmaker RH. Saga of an adventure gene: novelty seeking, substance abuse and the dopamine D4 receptor (D4DR) exon III repeat polymorphism. Mol Psychiatry. 1997;2(5):381–4. doi: 10.1038/sj.mp.4000315. [DOI] [PubMed] [Google Scholar]
- Friedman HS, Kern ML, Reynolds CA. Personality and health, subjective well-being, and longevity. J Pers. 2010;78(1):179–216. doi: 10.1111/j.1467-6494.2009.00613.x. [DOI] [PubMed] [Google Scholar]
- Gierman HJ, Fortney K, Roach JC, Coles NS, Li H, Glusman G, Markov GJ, Smith JD, Hood L, Coles LS. Whole-Genome Sequencing of the World's Oldest People. PLoS One. 2014;9(11):e112430. doi: 10.1371/journal.pone.0112430. others. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Grady DL, Thanos PK, Corrada MM, Barnett JC, Jr., Ciobanu V, Shustarovich D, Napoli A, Moyzis AG, Grandy D, Rubinstein M. DRD4 genotype predicts longevity in mouse and human. J Neurosci. 2013;33(1):286–91. doi: 10.1523/JNEUROSCI.3515-12.2013. others. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Grossman MH, Emanuel BS, Budarf ML. Chromosomal mapping of the human catechol-O-methyltransferase gene to 22q11.1----q11.2. Genomics. 1992;12(4):822–5. doi: 10.1016/0888-7543(92)90316-k. [DOI] [PubMed] [Google Scholar]
- Hardy GH. Mendelian Proportions in a Mixed Population. Science. 1908;28(706):49–50. doi: 10.1126/science.28.706.49. [DOI] [PubMed] [Google Scholar]
- Head D, Raz N, Gunning-Dixon F, Williamson A, Acker JD. Age-related differences in the course of cognitive skill acquisition: the role of regional cortical shrinkage and cognitive resources. Psychol Aging. 2002;17(1):72–84. doi: 10.1037//0882-7974.17.1.72. [DOI] [PubMed] [Google Scholar]
- Hoth KF, Paul RH, Williams LM, Dobson-Stone C, Todd E, Schofield PR, Gunstad J, Cohen RA, Gordon E. Associations between the COMT Val/Met polymorphism, early life stress, and personality among healthy adults. Neuropsychiatr Dis Treat. 2006;2(2):219–25. doi: 10.2147/nedt.2006.2.2.219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jackson J, Balota DA, Head D. Exploring the relationship between personality and regional brain volume in healthy aging. Neurobiol Aging. 2011;32(12):2162–71. doi: 10.1016/j.neurobiolaging.2009.12.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johansson L, Guo X, Duberstein PR, Hallstrom T, Waern M, Ostling S, Skoog I. Midlife personality and risk of Alzheimer disease and distress: A 38-year follow-up. Neurology. 2014 doi: 10.1212/WNL.0000000000000907. [DOI] [PubMed] [Google Scholar]
- Kim HN, Roh SJ, Sung YA, Chung HW, Lee JY, Cho J, Shin H, Kim HL. Genome-wide association study of the five-factor model of personality in young Korean women. J Hum Genet. 2013;58(10):667–74. doi: 10.1038/jhg.2013.75. [DOI] [PubMed] [Google Scholar]
- Laakso A, Wallius E, Kajander J, Bergman J, Eskola O, Solin O, Ilonen T, Salokangas RK, Syvalahti E, Hietala J. Personality traits and striatal dopamine synthesis capacity in healthy subjects. Am J Psychiatry. 2003;160(5):904–10. doi: 10.1176/appi.ajp.160.5.904. [DOI] [PubMed] [Google Scholar]
- Lee IH, Cheng CC, Yang YK, Yeh TL, Chen PS, Chiu NT. Correlation between striatal dopamine D2 receptor density and neuroticism in community volunteers. Psychiatry Res. 2005;138(3):259–64. doi: 10.1016/j.pscychresns.2005.02.002. [DOI] [PubMed] [Google Scholar]
- Lehto K, Akkermann K, Parik J, Veidebaum T, Harro J. Effect of COMT Val158Met polymorphism on personality traits and educational attainment in a longitudinal population representative study. Eur Psychiatry. 2013;28(8):492–8. doi: 10.1016/j.eurpsy.2013.06.008. [DOI] [PubMed] [Google Scholar]
- Martin P, Long MV, Poon LW. Age changes and differences in personality traits and states of the old and very old. J Gerontol B Psychol Sci Soc Sci. 2002;57(2):P144–52. doi: 10.1093/geronb/57.2.p144. [DOI] [PubMed] [Google Scholar]
- McCrae RR, Costa J,P, T. A contemplated revision of the NEO Five-Factor Inventory. Personality and Individual Differences. 2004;36:587–596. [Google Scholar]
- McCrae RR, Costa PT, Jr., Pedroso de Lima M, Simoes A, Ostendorf F, Angleitner A, Marusic I, Bratko D, Caprara GV, Barbaranelli C. Age differences in personality across the adult life span: parallels in five cultures. Dev Psychol. 1999;35(2):466–77. doi: 10.1037//0012-1649.35.2.466. others. [DOI] [PubMed] [Google Scholar]
- McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease. Neurology. 1984;34(7):939–44. doi: 10.1212/wnl.34.7.939. [DOI] [PubMed] [Google Scholar]
- Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology. 1993;43(11):2412–4. doi: 10.1212/wnl.43.11.2412-a. [DOI] [PubMed] [Google Scholar]
- Pelka-Wysiecka J, Zietek J, Grzywacz A, Kucharska-Mazur J, Bienkowski P, Samochowiec J. Association of genetic polymorphisms with personality profile in individuals without psychiatric disorders. Prog Neuropsychopharmacol Biol Psychiatry. 2012;39(1):40–6. doi: 10.1016/j.pnpbp.2012.04.009. [DOI] [PubMed] [Google Scholar]
- Raz N, Lindenberger U, Rodrigue KM, Kennedy KM, Head D, Williamson A, Dahle C, Gerstorf D, Acker JD. Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. Cereb Cortex. 2005;15(11):1676–89. doi: 10.1093/cercor/bhi044. [DOI] [PubMed] [Google Scholar]
- Raz N, Rodrigue KM. Differential aging of the brain: patterns, cognitive correlates and modifiers. Neurosci Biobehav Rev. 2006;30(6):730–48. doi: 10.1016/j.neubiorev.2006.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Reuter M, Hennig J. Association of the functional catechol-O-methyltransferase VAL158MET polymorphism with the personality trait of extraversion. Neuroreport. 2005;16(10):1135–8. doi: 10.1097/00001756-200507130-00020. [DOI] [PubMed] [Google Scholar]
- Riemann R, Angleitner A, Strelau J. Genetic and Environmental Influences on Personality: A Study of Twins Reared Together Using the Self- and Peer Report NEO-FFI Scales. Joumal of Personality. 1997;65(3) [Google Scholar]
- Roberts BW, Walton KE, Viechtbauer W. Patterns of mean-level change in personality traits across the life course: a meta-analysis of longitudinal studies. Psychol Bull. 2006;132(1):1–25. doi: 10.1037/0033-2909.132.1.1. [DOI] [PubMed] [Google Scholar]
- Salat DH, Tuch DS, Hevelone ND, Fischl B, Corkin S, Rosas HD, Dale AM. Age-related changes in prefrontal white matter measured by diffusion tensor imaging. Ann N Y Acad Sci. 2005;1064:37–49. doi: 10.1196/annals.1340.009. [DOI] [PubMed] [Google Scholar]
- Sheldrick AJ, Krug A, Markov V, Leube D, Michel TM, Zerres K, Eggermann T, Kircher T. Effect of COMT val158met genotype on cognition and personality. Eur Psychiatry. 2008;23(6):385–9. doi: 10.1016/j.eurpsy.2008.05.002. [DOI] [PubMed] [Google Scholar]
- Sowell ER, Peterson BS, Thompson PM, Welcome SE, Henkenius AL, Toga AW. Mapping cortical change across the human life span. Nat Neurosci. 2003;6(3):309–15. doi: 10.1038/nn1008. [DOI] [PubMed] [Google Scholar]
- Stein MB, Fallin MD, Schork NJ, Gelernter J. COMT polymorphisms and anxiety-related personality traits. Neuropsychopharmacology. 2005;30(11):2092–102. doi: 10.1038/sj.npp.1300787. [DOI] [PubMed] [Google Scholar]
- Tochigi M, Otowa T, Hibino H, Kato C, Otani T, Umekage T, Utsumi T, Kato N, Sasaki T. Combined analysis of association between personality traits and three functional polymorphisms in the tyrosine hydroxylase, monoamine oxidase A, and catechol-O-methyltransferase genes. Neurosci Res. 2006;54(3):180–5. doi: 10.1016/j.neures.2005.11.003. [DOI] [PubMed] [Google Scholar]
- Urata T, Takahashi N, Hakamata Y, Iijima Y, Kuwahara N, Ozaki N, Ono Y, Amano M, Inada T. Gene-gene interaction analysis of personality traits in a Japanese population using an electrochemical DNA array chip analysis. Neurosci Lett. 2007;414(3):209–12. doi: 10.1016/j.neulet.2006.12.018. [DOI] [PubMed] [Google Scholar]
- Wilson RS, Schneider JA, Arnold SE, Bienias JL, Bennett DA. Conscientiousness and the incidence of Alzheimer disease and mild cognitive impairment. Arch Gen Psychiatry. 2007;64(10):1204–12. doi: 10.1001/archpsyc.64.10.1204. [DOI] [PubMed] [Google Scholar]
- Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, Leirer VO. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1982;17(1):37–49. doi: 10.1016/0022-3956(82)90033-4. [DOI] [PubMed] [Google Scholar]
