ORIGINAL RESEARCH article
Dopamine D4 receptor polymorphism and sex interact to predict children’s affective knowledge
- 1Department of Psychology, The Hebrew University of Jerusalem, Jerusalem, Israel
- 2Department of Psychology, Academic College of Tel Aviv-Yaffo, Tel Aviv, Israel
- 3Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- 4Department of Psychology, National University of Singapore, Singapore, Singapore
Affective knowledge, the ability to understand others’ emotional states, is considered to be a fundamental part in efficient social interaction. Affective knowledge can be seen as related to cognitive empathy, and in the framework of theory of mind (ToM) as affective ToM. Previous studies found that cognitive empathy and ToM are heritable, yet little is known regarding the specific genes involved in individual variability in affective knowledge. Investigating the genetic basis of affective knowledge is important for understanding brain mechanisms underlying socio-cognitive abilities. The 7-repeat (7R) allele within the third exon of the dopamine D4 receptor gene (DRD4-III) has been a focus of interest, due to accumulated knowledge regarding its relevance to individual differences in social behavior. A recent study suggests that an interaction between the DRD4-III polymorphism and sex is associated with cognitive empathy among adults. We aimed to examine the same association in two childhood age groups. Children (N = 280, age 3.5 years, N = 283, age 5 years) participated as part of the Longitudinal Israel Study of Twins. Affective knowledge was assessed through children’s responses to an illustrated story describing different emotional situations, told in a laboratory setting. The findings suggest a significant interaction between sex and the DRD4-III polymorphism, replicated in both age groups. Boy carriers of the 7R allele had higher affective knowledge scores than girls, whereas in the absence of the 7R there was no significant sex effect on affective knowledge. The results support the importance of DRD4-III polymorphism and sex differences to social development. Possible explanations for differences from adult findings are discussed, as are pathways for future studies.
Affective knowledge, the ability to understand others’ emotional states (e.g., Knafo et al., 2009), is important for children’s social functioning, and for the ability to communicate, cooperate, and cope with complex social interactions (Denham, 1986; Bauminger, 2002; Walker, 2005; Knafo et al., 2011b; Garner and Waajid, 2012).
Affective knowledge has been linked to Empathy – the tendency to share and understand the thoughts and feelings of others (Eisenberg and Strayer, 1990; Walter, 2012). Indeed, affective knowledge is often seen as an aspect of Cognitive empathy, the ability to recognize and understand what the other feels (Shamay-Tsoory et al., 2009). Cognitive empathy can also be defined in the framework of theory of mind (ToM) as, Affective ToM, the ability to represent and understand the affective mental states of others (Walter, 2012).
Affective knowledge, affective ToM, and cognitive empathy are all part of a network of interpersonal abilities that also includes Affective empathy, i.e., the ability to experience the emotion of the other while maintaining an emotional distinction between the self and the other (Decety and Lamm, 2006; de Vignemont and Singer, 2006). Studies in neuro-psychology and developmental psychology show that the two components are different, but not independent, aspects of the tendency to empathize (Singer, 2006; Volbrecht et al., 2007; Knafo et al., 2008a). In our literature review, therefore, we draw on evidence from the field of empathy research to understand the development of cognitive empathy and specifically affective knowledge.
Denham (1986) operationalized affective knowledge as composed of affective labeling (matching facial expressions to emotions) and affective perspective taking (matching a facial expression to someone based on their supposed emotional state). Garner and Waajid (2012) described affective knowledge as including awareness of emotion and knowledge of basic facial expressions (i.e., expression knowledge) and the situations that elicit emotions (situational knowledge). Similarly, many operationalizations of cognitive empathy (Matsumoto et al., 2000; Baron-Cohen et al., 2001), measured the ability to recognize an emotion from a facial expression, or predict an emotional response from a specific context. Based on these studies, our operationalization of affective knowledge (Knafo et al., 2009) combines aspects of these related approaches, by measuring attribution of emotional states, attribution of affective expressions, and matching facial expressions to attributed states.
Sex Differences in Empathy and in Affective Knowledge
Studies typically show significant sex differences in empathy, with women scoring higher than men (Hoffman, 1977; Baron-Cohen and Wheelwright, 2004). Disorders associated with deficits in empathy and particularly in ToM (e.g., autism, Asperger syndrome; Baron-Cohen et al., 1997) are more prevalent in men than in women (Baron-Cohen and Wheelwright, 2004). Disorders such as depression and anxiety, that tend to be more prevalent in women, are associated with higher empathy (Zahn-Waxler et al., 1991, 2008). However, the association between sex and empathy is unclear, and may be dependent on the method used to measure empathy (Eisenberg and Lennon, 1983). Sex differences favoring females usually emerge using questionnaire measures (e.g., Adams et al., 1979), while performance measures usually do not yield sex differences (Hoffman, 1977; Eisenberg and Lennon, 1983). With respect to ToM, most investigations of individual differences in ToM did not specifically examine the issue of sex differences. Two exceptions are the studies of Charman et al. (2002) and of Walker (2005). Charman et al. (2002) investigated sex differences in false belief development and found a slight advantage for girls on false-belief task performance, an advantage that was only apparent in younger but not older children from a sample of 3–5 year-olds. In the second study, Walker (2005) showed that preschool girls are more competent than boys in ToM tasks, and that these sex differences were associated with peer-related social competence. Findings from studies that specifically focused on affective knowledge present a less than consistent picture (Hoffman, 1977; Eisenberg and Lennon, 1983; Gross and Ballif, 1991), with some studies showing a female advantage in affective knowledge tasks (Zahn-Waxler et al., 1984; Casey, 1993), and other studies finding no such effect (Cutting and Dunn, 1999).
These studies suggest that there are yet unanswered questions regarding the role of sex in explaining individual differences in empathy and affective knowledge, and that these differences may be important for understanding children’s social functioning outcomes.
There is much individual variation in empathic ability and specifically in affective knowledge – from extreme deficits, as in autism (Yirmiya et al., 1992) to differences in empathy and affective knowledge within the normal range seen in adults (Davis, 1980; Lawrence et al., 2004), children (Bryant, 1982; Denham, 1986; Knafo-Noam et al., 2015), and infants (Knafo et al., 2008a).
We are aware of a single study on affective ToM, in which 10-year-old’s recognition of facial expressions showed substantial heritability (Lau et al., 2009). Additional studies on children (Zhu et al., 2010) and adult population (McKone and Palermo, 2010; Wilmer et al., 2010) have found significant heritability effects for face recognition. Although we are not aware of additional published studies concerning the heritability of affective knowledge among children, it is possible to learn about its development from research on empathy and ToM.
To the best of our knowledge, up to the time of writing this paper, there have been only eight twin studies addressing the genetic and environmental influences on individual differences in empathy, and in all of these studies (except one study which had extremely high correlations for both MZ and DZ twins) a significant genetic influence on empathy was found to exist from early childhood onward (Knafo and Uzefovsky, 2013). Our meta-analysis (Knafo and Uzefovsky, 2013), found that heritability accounts for 35% of the variance in empathy (the influence of the shared environment was negligible, and the influence of the non-shared environment, which also includes measurement error, was estimated as explaining 63% of individual variability). Interestingly, when examined separately, cognitive and affective empathy were found to have different patterns of genetic and environmental effects. Heritability explained 30% of the variance in affective empathy and 26% of the variance in cognitive empathy. Shared environment, estimated at 17%, explained individual variability in cognitive empathy only (the rest of the variance of both empathy facets was explained by non-shared environment and error, Knafo and Uzefovsky, 2013).
Similarly, there has been scant research estimating the genetic and environmental contributions to ToM. The available research shows moderate genetic as well as significant environmental contributions to individual differences in ToM (Ronald et al., 2005, 2006). A small study of 3.5 year-old twins showed a strong genetic effect on cognitive aspects of ToM (Hughes and Cutting, 1999). A larger study of 5-year-olds showed a genetic contribution to cognitive ToM, which overlapped with the genetic effects on language abilities (Hughes et al., 2005).
Taken together, the above-cited studies suggest that investigating the genetic basis of affective knowledge is a worthwhile endeavor.
Specific Genetic Effects
Studies have shown that the social hormones oxytocin (OT) and vasopressin (AVP) facilitate and promote social interactions by modulating dopaminergic activity in the brain reward system (Young and Wang, 2004; Skuse and Gallagher, 2009). Relatedly, many molecular genetic studies have so far focused on the oxytocin receptor (OXTR) gene, repeatedly showing that variations in the OXTR are significantly associated with measures of empathy (Chakrabarti et al., 2009; Rodrigues et al., 2009; Wu et al., 2012; Lucht et al., 2013; Uzefovsky et al., 2015), as well as with difficulties in empathy (Schneiderman et al., 2013) and with autism (Chakrabarti et al., 2009) and ToM (Wu and Su, 2014). For a recent review, see Israel et al. (2015).
An additional recent study has also suggested that the association between genetic variation in OXTR and prosocial behavior is mediated by perspective taking and empathic concern, and that this pathway is contingent on sex (Christ et al., 2015). This study has shown an interaction between OXTR polymorphisms and sex in predicting prosocial tendencies (empathic concern and perspective taking), which in turn predict prosocial behavior. The patterns of genotype effects on prosocial tendencies were different for males and females (Christ et al., 2015). For example, the interaction between sex and rs2254298 showed that males with at least one A allele have significantly lower perspective taking scores compared to males who are homozygous for G allele, while no significant genotype effect in this polymorphism was found for females.
As noted, OT and AVP, together with activity of dopaminergic receptors, comprise an integrated neuronal system of social cognition (Skuse and Gallagher, 2009). The dopaminergic system is a critical component of the “social brain” which comprises areas of the brain that are involved in social cognition and behavior (Skuse and Gallagher, 2009). Studies have suggested that dopamine is crucial to empathy-motivated prosocial behavior, which has evolutionary roots in offspring care (Preston, 2013). Thus, the dopaminergic system is another good candidate system for investigating the genetic underpinnings of empathy. Since most studies to date have focused on the role of OXTR in empathy, there is still a big gap in the understanding of the role of dopamine, even though it is a crucial part of the social brain. Indeed, one recent study conducted on Chinese college students has shown that genetic variation in the dopamine system made significant contributions to individual differences in facial expression recognition, and specifically in the recognition of disgust faces (Zhu et al., 2011).
DRD4 as a Candidate Gene for Affective Knowledge
DRD4 is a gene that encodes the D4 receptor of dopamine and is one of the most studied candidate genes in relation to social behavior (Kang et al., 2008; Zhong et al., 2010). The gene has a number of variations (polymorphisms). One of the most researched polymorphisms of the gene is found in exon 3, which is characterized by a repeat region of 48 bp (translated to 16 amino acids) that can be repeated 2 – 11 times. This polymorphism (DRD4-III) was associated with behaviors and traits that are related to empathy. An example of this is the association between DRD4-III polymorphism and altruistic behavior (Bachner-Melman et al., 2005), and the possible role of the polymorphism in ADHD (Faraone et al., 2001), a disorder that was shown to be related to ToM deficits and reduced empathy (Uekermann et al., 2010). Another interesting investigation focused on the function of DRD4-III polymorphism in representational ToM (RTM) – the ability to explicitly understand that other’s mental states (beliefs, desires, knowledge) are person-specific representations of the world (Lackner et al., 2012). This study has suggested that variations in the DRD4-III may predict preschoolers’ performance in RTM, showing that individuals with two shorter alleles (4 repeats or less) outperformed those with one or two longer alleles (6 repeats or more), (Lackner et al., 2010).
In addition to these investigations, the DRD4-III has recently become the focus of research into gene by environment interactions (GxE). Carriers of the 7 repeat allele (7R), the second most common repeat in Caucasian populations (Chang et al., 1996) are thought to be more sensitive to environmental influence (Belsky and Pluess, 2009). An example of this is the study by Knafo et al. (2011a), which focused, using a sample that partially overlaps with the current sample, on prosocial behavior. Prosocial behavior is relevant in this context because many (but not all) prosocial behaviors are associated with empathy. Positive parenting was positively related to prosocial behavior (as reported by the mother), and unexplained punishment related positively to experimentally-elicited self-initiated pro-social behavior, but only for children carriers of the 7R allele. Carriers of other alleles showed no association between parenting and behavior (Knafo et al., 2011a). In a subsample of that study, mother-reported negativity toward the child was negatively associated with observed empathic concern toward an examiner, again only among children carriers of the 7R allele (Knafo and Uzefovsky, 2013).
One recent study examined the association between DRD4-III polymorphism and empathy among adults (Uzefovsky et al., 2014). A significant gene by sex interaction was found for cognitive empathy (but not emotional empathy), and was replicated in a second independent sample of adults. Specifically, it was found that women carriers of the 7R allele scored higher on cognitive empathy than women who were not carriers of the 7R allele, whereas for men, 7R carriers scored lower than non-carriers. This finding suggests that the polymorphism of DRD4-III is related to cognitive empathy and that sex differences are involved in this relationship.
The Current Research
As cognitive empathy has been shown to have a genetic basis in early childhood (Knafo et al., 2009), one could expect to replicate the findings by Uzefovsky et al. (2014) among children. However, it is important to note the differences in measure type (cognitive empathy questionnaire vs. a task measuring affective knowledge) as well as the notion that genetic effects are often age-specific (e.g., Choh et al., 2014). For example, an AVPR1a polymorphism is associated with generosity in both adults and children, but different alleles are responsible for this association in the two age groups (Knafo et al., 2008b; Avinun et al., 2011). It is therefore important to study the role of genes in children, to get a developmental perspective on the association between the DRD4-III genotype, cognitive empathy, and specifically affective knowledge.
The current study sought to expand the knowledge of the genetic basis of the cognitive component of empathy to the developmental context. Specifically, we examined the association between the DRD4-III polymorphism and affective knowledge in children 3.5 and 5 years of age. In view of previous findings, this study focused on the DRD4-III 7R allele, hypothesizing that the association between genotype and affective knowledge would be contingent on sex. We expected to replicate the findings in adults (Uzefovsky et al., 2014) whereby sex interacted with the DRD4-III polymorphism in the association with cognitive empathy. However, as we are looking at a different age group and a different phenotype of social cognition we did not make strong hypotheses, but rather were interested in investigating the associations between DRD4-III, sex, and affective knowledge in early childhood.
Materials and Methods
Families in this study were participants in the Longitudinal Study of Twins (LIST) that focuses on children’s social development as influenced by genetics, abilities, and socialization (Knafo, 2006). All Hebrew-speaking families who were identified by the Israeli Ministry of the Interior as having twins born in 2004 and 2005, were contacted with mail surveys regarding children’s development close to the twins’ third birthday. See Avinun and Knafo (2013) for further details on the sample.
Families from the Greater Jerusalem area were invited to partake in an experimental session at the laboratory when twins reached 3.5 and 5 years of age. The laboratory session focused on evaluating empathy, pro-social behavior, cognitive abilities, and other social skills. In addition, DNA samples were taken from the twins and their parents, when parents’ agreement was obtained. The project was approved by the S. Herzog Hospital Institutional Review Board committee.
Of the initial lab sample we selected children with relevant data on both affective knowledge and DNA samples. Out of 447 individual participants from the first lab phase of the LIST, 128 were excluded because of a lack of DNA data, and 39 were excluded due to missing affective knowledge data. Similarly, out of 398 age 5 participants, 107 were excluded because of lack of DNA data, and eight were excluded due to missing affective knowledge data.
Therefore, the final sample from age 3.5 included 280 children (149 boys, 131 girls), aged 36–51 months (M = 44.13, SD = 2.78). The final age 5 sample included 283 children (149 boys, 134 girls), aged 59–71 months (M = 61.73, SD = 2.15). In total, 402 children participated at least once, of which 161 children participated in both phases.
Around the age of 3.5, families (the twins and a parent, sometimes accompanied by another family member) arrived at the lab for an experimental session. In the lab they met two examiners, and each twin was asked to enter a separate testing room with one of the examiners. Visits were scheduled at a time when parents estimated children were likely to be at their best. Assessments of social and cognitive development skills were made through a number of tasks (Avinun and Knafo, 2013), separately for each twin. Most visits lasted for less than 2 h. During or prior to the visit, mothers filled out questionnaires which included questions on the pregnancy, twins’ zygosity, twins’ behavior, and demographic details, including socioeconomic status.
Toward children’s fifth birthday all families from the twin sample living in the Greater Jerusalem area were invited to the lab again. The same laboratory procedure was performed when the twins were about 5 years old.
Affective knowledge was measured using the Jerusalem Story Test of Interpersonal Understanding (Knafo et al., 2011b). This instrument consists of an illustrated story that taps several socio-cognitive abilities with a single story narrative loaded with various emotional associations (Knafo et al., 2011b). We followed Denham’s (1986, p. 194) recommendation, that to measure children’s affective knowledge a measure has to be sensitive to the needs of “capturing young children’s attention and of embedding tasks within an ongoing social context.” We therefore measured affective knowledge with children’s reactions to easy to understand situations, in a contextually valid setting of telling a story.
Stimuli and methods from existing relevant assessments (Denham, 1986; Ribordy et al., 1988) were integrated into the task. While reading the story, the experimenter asks the child predetermined questions tapping broad aspects of interpersonal understanding: affective knowledge, desire understanding, and false belief. Previously, measures from the test predicted children’s observed prosocial behavior (Knafo et al., 2011b) and empathy (Knafo et al., 2009). In the current investigation we focus on affective knowledge, as measured by the illustrated story assignment through three indices: emotion understanding, expression selection, and affective matching (see description below).
The story depicts emotional situations relevant to children’s lives, involving story character Loulou (matched to the participating child’s gender). Five situations (Ribordy et al., 1988) eliciting different emotions were examined: happiness (Loulou gets a long wished-for present), fear (a sudden darkness and a tree branch that appears like someone’s hand touching the window), anger (Loulou is given a present in appreciation for his/her help, but then the giver changes his mind and requests the present back), sadness (Loulou is laughed-at by his/her friends after failing to play a game successfully), and disgust (Loulou finds a worm in his/her apple), (see Figure 1). The four negative emotions were used in the current investigations following up on Knafo et al. (2009), in consideration of the differences between perceiving negative emotions of the other (Roberts and Strayer, 1996; Simpson et al., 2003; Eisenberg et al., 2014) and perceiving other’s positive emotions.
Three measures of affective knowledge were obtained:
(1) Emotion understanding – Attribution of emotional states: After hearing each emotionally relevant situation, the child was asked, “How does Loulou feel?” If the child did not respond correctly or failed to respond at all, the question was repeated, and three options (e.g., angry, sad, yuck/disgusted) were presented. Responses were scored on a five-point scale: 4 = correct unaided answer; 3 = initial response concerning an overall negative emotion, which was correctly identified when options were given; 2 = wrong answer on unaided question and a correct answer when options were given; 1 = general negative affective response on unaided question and wrong answer when options were given; and 0 = wrong answer on both questions.
The emotion understanding measure was calculated for each participant as a sum across the four situations, resulting in a score that could range between 0 and 16.
(2) Expression selection – Attribution of facial affective expressions: Following the previous question the child was shown three facial expressions of Loulou (corresponding to the three options given in the earlier question). For example, “can you show me how Loulou looks now after the children laughed at him/her?” (see Figure 2). A correct (matching the situation) answer was rated 3. Incorrect responses received a score between 2 and 0, depending on the degree of dissimilarity; previous research has shown that emotional expressions can be ordered in a circular manner based on the similarity in their different facial configurations (anger, disgust, happiness, surprise, fear, sadness, anger; Susskind et al., 2007). Incorrect answers were therefore scored according to the degree of difference between the face chosen and the correct face on this circumplex (e.g., anger and disgust involve two relatively similar facial configurations and confusing them would incur the score 2; in contrast, confusing the very different expressions of fear and disgust would incur the score 0).
The expression selection measure was calculated for each participant as a sum across the four situations, resulting in a score that could range from 0 to 12.
FIGURE 2. Expression selection – an exemplary item assessing attribution of facial affective expression.
(3) Affective matching – Matching facial expressions to attributed states: Success in matching label to facial expression was measured by counting the times in which the child chose a facial expression matching the emotion he or she named in response to the verbal question (“How does Loulou feel?”), regardless of whether this choice was correct or not with regards to the situation. Correct match was coded as 1, and an incorrect match as 0. A sum score was calculated, and could range between 0 and 4.
Table 1 shows descriptive statistics for the three measures of affective knowledge. Each of the three indices of affective knowledge measures a different aspect of cognitive empathy. For example, a child could label an emotion correctly but fail to point to the right facial expression. In order to examine the factorial structure of all three measures we ran a factor analysis. As expected, since all three measures were designed to assess different aspects of affective knowledge, they were all significantly inter-correlated (p < 0.01, see correlations in Table 2) and loaded on a single factor. In the 3.5 year-olds sample, the factor accounted for 52.60% of the variance, with loadings ranging from 0.70 to 0.75. In the 5 year-olds sample the factor accounted for 52.43% of variance, with loadings ranging from 0.69 to 0.79. Thus, the factor structure remained relatively constant at both ages. Based on these results a total affective knowledge measure was computed by calculating Z-standardized scores for each measure, and averaging them. The descriptive statistics for the affective knowledge composite are shown in Table 1.
DNA was extracted from 20 ml of mouthwash samples using Master Pure kit (Epicentre, Madison, WI, USA). PCR (Polymerase chain reaction) amplification was carried. The exon III repeat region of the DRD4 receptor was characterized using PCR amplification procedure (using a Reddy Mix kit, AB gene, Surrey, UK), and genotyping was conducted as previously described by Knafo et al. (2011a).
In the 3.5 years old sample 94 participants (33.57%) were carriers of the 7R allele, and 186 were non-carriers. In the 5 years old sample 79 participants (27.92%) were carriers of the 7R allele, and 204 were non-carriers. In both ages genotypes were in Hardy–Weinberg equilibrium as tested with the PEDSTATS software (Wigginton and Abecasis, 2005) for a sample in which one participant from each family was chosen randomly (Age 3.5: χ2 = 1.02, p = 0.79; Age 5: χ2 = 6.46, p = 0.09). Results reflect a stable frequency of the DRD4 repeat alleles in the population under study (see Table 3 for descriptive data regarding the distribution of the genotype by sex, for both ages).
The DRD4-III genotype was coded as a two level variable: “carriers of the 7R allele” (presence of at least one 7R allele), and “non-carriers of the 7R allele” (absence of a 7R allele), following Uzefovsky et al. (2014). Grouping of participants according to 7R-carrier status is common practice (e.g., Faraone et al., 2001; Bakermans-Kranenburg and van IJzendoorn, 2007; Knafo et al., 2011a; Uzefovsky et al., 2014) as the 7R allele is the second most common allele in Caucasian populations, and because of the difference in functionality between the 7R, specifically, and other alleles (Asghari et al., 1995). It would be interesting to test for an additive effect of sharing two 7R alleles, however, the homozygous (7-7R) genotype is relatively rare (in the current study 9 and 14 participants at ages 3.5 and 5, respectively).
The genotype, sex and their interaction served together as predictors of the affective knowledge score. Descriptive and preliminary statistics were carried out using SPSS v20 (Statistical Package for the Social Sciences). The main analyses were carried out using the GEE test (Generalized Estimating Equations test) in the SPSS. This test takes into account the dependency between twins, and enables using data from both twins. The results were verified by performing the analyses in the Mplus v5 software (Muthén and Muthén, 1998–2010). The procedure uses a slightly different analysis and a different set of assumptions to the GEE. Twins were considered as clustered within twin pairs, SE were computed using the TYPE = COMPLEX option, taking into account the fact that twin-data are non-independent of each other.
Preliminary analyses showed that the sample of children, who participated at age 3.5 but not at age 5, did not differ on DRD4 7R genotype distribution, sex composition, or affective knowledge scores from those who participated at both time points. Similarly, children from families who joined the study at age 5 did not significantly differ from families who joined at age 3.5 on any study variable.
DRD4-III 7R Polymorphism and Sex
The main hypothesis in our investigation was that the DRD4-III polymorphism would be associated with children’s affective knowledge, in a sex-contingent manner. We examined the association between the phenotype and the gene using the GEE procedure in SPSS v20. This procedure treats individual children as clustered by family using robust estimates of the SE, with affective knowledge regressed onto sex, DRD4 genotype, and their interaction.
In the 3.5 years old sample the analysis yielded a significant effect of sex [Wald χ2(1, N = 280) = 4.53, p = 0.03], with boys scoring higher (M = 0.10, SE = 0.07) than girls (M = -0.09, SE = 0.06). Although there was no main effect for the DRD4-III polymorphism [Wald χ2(1, N = 280) = 0.605, p = 0.44], DRD4-III did qualify the sex difference, showing a significant interaction with sex [Wald χ2(1, N = 280) = 4.97, p = 0.02]. Results remained robust when the analysis was performed in the Mplus statistical package (β = -0.15, SE = 0.06, p = 0.013).
In order to better understand the nature of the interaction we examined simple effects. Mean comparison indicated that among carriers of the 7R allele, boys had higher affective knowledge scores (M = 0.17, SE = 0.13) than girls (M = -0.23, SE = 0.07), whereas no such effect was found for non-carriers (M = 0.04, SE = 0.07 vs. M = 0.05, SE = 0.09, respectively; see Figure 3). The sex effect on affective knowledge was significant for carriers of the 7R allele [Wald χ2(1, N = 280) = 7.66, p = 0.006], but not among non-carriers [Wald χ2(1, N = 280) = 0.01, p = 0.92]. Examination of the genotype effect separately for boys and girls yielded a significant effect among girls, as the 7R allele was significantly associated with lower affective knowledge scores and the absence of the 7R was significantly associated with higher affective knowledge scores [Wald χ2(1, N = 280) = 5.85, p = 0.016]. No significant genotype effect was found for boys [Wald χ2(1, N = 280) = 0.88, p = 0.35].
In an attempt to check whether these results are consistent in two different ages through childhood, we examined the association between the phenotype and the gene in the 5 year-olds sample. The main effects of genotype [Wald χ2(1, N = 283) = 1.08, p = 0.30] and sex [Wald χ2(1, N = 283) = 0.28, p = 0.59] were not significant, but the interaction between sex and DRD4-III polymorphism was again significant [Wald χ2(1, N = 283) = 4.238, p = 0.04], suggesting that the effect of the gene on affective knowledge is moderated by sex in both age groups. The interaction was significant in the Mplus analysis as well (β = -0.12, SE = 0.06, p = 0.039).
Furthermore, the direction of effects was similar in both ages. We examined simple effects in order to understand the nature of the interaction. Mean comparison indicated that among carriers of the 7R allele, boys had higher affective knowledge scores (M = 0.13, SE = 0.11) than girls (M = -0.18, SE = 0.09), whereas no such effect was found for non-carriers (M = -0.01, SE = 0.08 vs. M = 0.04, SE = 0.08, respectively; see Figure 4). The sex effect on affective knowledge was significant for carriers of the 7R allele [Wald χ2(1, N = 283) = 4.816, p = 0.03], showing that in the presence of the 7R allele boys scored significantly higher (M = 0.13, SE = 0.11) than girls (M = -0.18, SE = 0.09). For non-carriers of the 7R there was no significant sex effect on affective knowledge [Wald χ2(1, N = 283) = 0.28, p = 0.56]. Examination of the genotype effect separately for boys and girls yielded no significant effect for boys [Wald χ2(1, N = 283) = 1.08, p = 0.30] or for girls [Wald χ2(1, N = 283) = 3.23, p = 0.07].
In a subsample of children who only participated in the age 5 phase there was no significant effect for either sex, DRD4-III or their interaction, possibly reflecting the small sample size for this group (N = 121). Nevertheless, it is important to note that the pattern of findings, although not significant, was very similar for children from this new sample and for those retained from the age 3 phase, as seen in Figure 5.
FIGURE 5. Affective knowledge by DRD4-III polymorphism and sex of subsample of children. Mean comparison showing the same pattern of findings for children who participated in the 3.5 years old phase and retained for the 5 years old phase (A) and for children who participated only in the 5 years old phase (B).
Because there were age differences within each age group, and to account for the possible role of children’s social and developmental background, we further tested several potential contributing variables. Gestational age (in weeks) or birthweight did not relate significantly to affective knowledge at either age group. Within-age group age differences (in months) were associated with affective knowledge at age 3.5 (r = 0.16, p = 0.01), and more weakly so at 5 (r = 0.10, ns). Family socio-economic status (SES, indicated by mothers’ report on the family’s income relative to the given national average, where 1 = much below national average, 3 = around average, and 5 = much above average) did not significantly correlate with affective knowledge at age 3.5 (r = -0.12, ns), but was significantly related to better performance at age 5 (r = 0.25, p = 0.01).
We therefore examined a covariate-adjusted model, controlling for within-age group age differences and SES. Importantly, the genotype × sex interaction remained significant when controlling for these variables, at both age 3.5, [Wald χ2(1, N = 236) = 5.00 p = 0.025], and age 5 [Wald χ2(1, N = 210) = 3.92, p = 0.048], attesting to the robustness of the findings.
We examined the association between the DRD4-III polymorphism and affective knowledge among children 3.5 and 5 years of age. The findings demonstrate that the association between DRD4-III and affective knowledge is contingent on sex. In both age groups, in the presence of the 7R allele boys scored significantly higher than girls, whereas in the absence of the 7R there was no significant sex effect on affective knowledge.
Due to the fact that socio-cognitive abilities, and especially cognitive empathy, develop dramatically during the preschool period (Lennon and Eisenberg, 1990), this consistent replication across two age groups is of special value. In other words, although children mature and change in these critical years, the interaction effect remains consistent, reflecting its robustness.
The results of the current study can be interpreted in the context of brain mechanisms underlying socio-cognitive abilities. The DRD4 is widely expressed in the brain, particularly in the prefrontal cortex, hippocampus, hypothalamus, amygdala, and mesolimbic pathways (Matsumoto et al., 1995; Oak et al., 2000). These regions are considered to be a part of the “social brain” (Skuse and Gallagher, 2009), that includes the amygdala as one of the central parts of the reward system. DRD4 is an integral part of the dopamine system, a system that is considered to be involved in making social interactions rewarding. The importance of the dopaminergic reward circuits in the regulation of social cognition is presented in the model of Skuse and Gallagher (2009, 2011). This model suggests that genetic variation in the receptors associated with OT, AVP, and dopamine may explain individual differences, as well as, deficits, in socio-cognitive processes and behaviors (Skuse and Gallagher, 2009, 2011). For example, the negative symptoms of schizophrenia (impairments in emotional processing, social perception and knowledge, ToM, and attributional bias) may be associated with abnormalities in OT and dopamine signaling in the amygdala (Rosenfeld et al., 2011). In this context it is important to note that the DRD4 specifically was found to be expressed in excess in the striatum in postmortem brains of schizophrenia patients (Seeman et al., 1993). The current findings add to the literature by showing that dopamine, and especially DRD4, have an important role in typical social cognition, as well as in psychopathology.
Interestingly, the direction of the sex by gene interaction effect on affective knowledge was reversed compared to the effect found in adult populations on cognitive empathy (Uzefovsky et al., 2014). What may be the reasons for this reversal? One possibility is that genetic effects may be different across different developmental stages. Genetic effects can change from childhood to adulthood, both in the overall heritability of a trait (Haworth et al., 2008, 2010), and in the specific molecular genetic contributions to individual variability, as discussed above with regards to the genetics of generosity (Knafo et al., 2008b; Avinun et al., 2011). In addition, we must consider the fact that the sex effect can reflect both biological sex and/or gender, the social aspect of sex. Therefore, the gene by sex interaction can be understood in different ways (as elaborated by Uzefovsky et al., 2014).
Considering sex effects as related to biological as well as to social mechanisms, it is reasonable to assume that the effects of these mechanisms change from childhood to adulthood. Significant biological and social changes occur in the gap between these age periods, especially during adolescence. For example, the body undergoes significant externally visible changes due to surges in sex-hormones during puberty, and adolescents experience an increase in gender-differential socialization pressure (Hill and Lynch, 1983). Studies have shown that social behavior, such as pair bonding, romantic relationship, concern for others, and empathy, is influenced by sex-hormones (Hastings et al., 2006; van Anders and Gray, 2007). There are also some empirical data that support the notion that socialization contributes to gender differences in empathy (Lennon and Eisenberg, 1990). Taken together, it is possible that after a long period of gender-related changes (social and/or biological) the interactive contribution of gene and sex on cognitive empathy may change. These might explain the reversed direction of interaction between the different populations (children and adults).
Moreover, unless they are measured in the same sample, age differences often represent the fact that individuals of different ages were born and raised in different periods (i.e., cohort effects, e.g., Smits et al., 2011). The children in the present study were born two decades after the participants of the adult study (Uzefovsky et al., 2014), and changes in gender roles during this period may account in part for this difference (Twenge, 1997).
Finally, it is important to mention here that beyond the age difference between participants in the study of Uzefovsky et al. (2014) and the current study, there are also differences in the method used to assess the dependent variable. While adults’ empathy was measured using a self-report questionnaire, in the current study we used a performance-based measure of affective knowledge. Although self-reported measures can reveal a complex and stable characteristic, they are more sensitive to reporter bias and demand characteristics. This might have an additional influence on the different findings.
Raising the possible reasons for the reversal in the interaction direction still leaves us with many unsolved questions: What is it about being a child-boy that, in the presence of the 7R allele, predisposes to higher affective knowledge scores? Why and when does this predisposition change during the maturational processes? Addressing these questions is very important and challenging due to the elusive nature of the notion “sex,” as we note above. Carriers of the 7R allele are thought to be sensitive to environmental influence (e.g., Belsky and Pluess, 2009), and thus a combined effect of socialization effects across development with their tendency for being more strongly affected by such effects could contribute to the developmental change in the observed genotype × sex effects.
Conclusions and Suggestions for Future Research
In line with previous studies showing that the dopaminergic system is essential for social cognition, our findings suggest that DRD4-III polymorphism is associated with affective knowledge starting from early childhood, in interaction with sex. Being the first study to investigate the association between DRD4-III polymorphism and affective knowledge among children, this study provides novel evidence for the particular association of the genotype with cognitive empathy in early childhood. A comparison with a recent study conducted on adult population reveals the possibility that the direction of the gender effect on the association between the genotype and phenotype changes throughout development.
Further studies are crucial in order to validate these findings and to expand our understanding of the molecular genetics of empathy and related variables. Future studies should use multiple measures, to better understand the role of measurement type on the results. In addition, it is important to examine the interaction effect of DRD4-III polymorphism and sex on the emotional component of empathy among children. Finally, the current findings emphasize the need to examine the role of genes in various age groups, from childhood, through adolescence to adulthood. This is especially important for understanding the reported interaction to determine whether and when the direction of the gender effect changes.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The authors are indebted to the parents and twins in the Longitudinal Israeli Study of Twins (LIST) for making the study possible. We thank Reut Avinun and Lior Abramson for their advice and helpful comments. We also thank Gali Naor and the research assistants who collected and coded the data. LIST is supported by grant No. 31/06 from the Israel Science Foundation and by Starting Grant no. 240994 from the European Research Council (ERC) to AK-N.
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Keywords: dopamine, DRD4, cognitive empathy, affective perspective taking, gender, affective knowledge
Citation: Ben-Israel S, Uzefovsky F, Ebstein RP and Knafo-Noam A (2015) Dopamine D4 receptor polymorphism and sex interact to predict children’s affective knowledge. Front. Psychol. 6:846. doi: 10.3389/fpsyg.2015.00846
Received: 20 December 2014; Accepted: 03 June 2015;
Published: 23 June 2015.
Edited by:Talee Ziv, University of Washington, USA
Reviewed by:Sumie Leung, Swinburne University of Technology, Australia
Mark Wade, University of Toronto, Canada
Copyright © 2015 Ben-Israel, Uzefovsky, Ebstein and Knafo-Noam. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ariel Knafo-Noam, Department of Psychology, The Hebrew University of Jerusalem, Mount Scopus, Jerusalem 91905, Israel, Ariel.Knafo@huji.ac.il