Behavioral genetic research has shown that psychosocial environmental measures are important tools in the study of personality and also that such measures may be influenced by genetic factors that relate to personality. Genotype–environment correlation (rGE) and genetic mediation (Gm) are two closely related concepts that have gained increasing interest in recent decades. rGE implies that genes affect environments indirectly via personality characteristics. Two rGE-types are of special interest in the field of personality research: reactive (or evocative) rGE refers to responses that are evoked from the environment by genetically influenced behaviors. Active rGE refers to instances where individuals themselves select their environment based on their genetic predispositions. In both cases, a correlation between environment and personality will occur for genetic reasons (Gm) (Jaffee & Price, Reference Jaffee and Price2007; Plomin, Reference Plomin2014).
The authors of a meta-analysis based on 32 twins-reared-together studies concluded that the research on rGE is in its infancy and more studies on a variety of environmental measures are needed (Avinun & Knafo, Reference Avinun and Knafo2014). In their study, an average heritability of 23% was found for family environmental measures, 43% was related to shared environment and 34% was related to nonshared environment. Kendler and Baker (Reference Kendler and Baker2007) found similar results in a meta-analysis that also included twin studies. Vinkhuyzen et al. (Reference Vinkhuyzen, van der Sluis, de Geus, Boomsma and Posthuma2010) found an average heritability of 49% based on four different environmental measures, and a recent large twin study showed genetic influences on parenting (Warmth and Stress) mediated by genetically influenced personality (especially agreeableness and conscientiousness; Ayoub et al., Reference Ayoub, Briley, Grotzinger, Patterson, Engelhardt, Tackett and Tucker-Drob2019). Studies of rGE on twins reared apart are rare, but one large Swedish study, based on both twins reared apart and together, showed a similar heritability (26%) for perceived parenting when measured using the Family Environment Scale (Plomin et al., Reference Plomin, Pedersen, Nesselroade and Bergeman1988). Recently, rGE was tested in a genomewide molecular genetic study on family environment, which showed heritabilities between 2% and 23% (Dobewall et al., Reference Dobewall, Savelieva, Seppälä, Knafo-Noam, Hakulinen, Elovaino and Hintsanen2019).
Compared to the vast array of personality tests available, fewer psychometrically validated environmental measures have been produced. In a recent study, family and school psychosocial environment (FSPE) was tested on 244 Swedish children where FSPE covered both current familial and extrafamilial (school) environmental factors (Persson, Reference Persson2011). The FSPE factors, Warmth, Support and Openness from Parents (FSPE1) and Family Conflicts and School Discipline (FSPE2), were shown to correlate with Eysenck’s personality factors (Persson, Reference Persson2014). The highest correlations (.47) were found between FSPE2 and psychoticism (antisocial personality) and between FSPE1 and extraversion (.28). These correlations may, however, be influenced by genetic factors, and the author suggested that they be tested for rGE (Persson, Reference Persson2014). Gm has been found for personality–environment relationships in several studies (Chipuer et al., Reference Chipuer, Plomin, Pedersen, McClearn and Nesselroade1993; Klahr et al., Reference Klahr, Thomas, Hopwood, Klump and Burt2013) but was not supported in other studies (Vernon et al., Reference Vernon, Jang, Harris and McCarty1997). In a recent review, Plomin et al. (Reference Plomin2014) highlighted the significance of both rGE and Gm.
In order to analyze rGE and Gm, a genetically sensitive design must be applied. Such a design includes twin and/or sibling pairs with varied genetic relatedness. The goal of the present study was to unravel possible rGE related to warmth and conflicts and to determine whether Gm factors can explain correlations between these factors and personality.
Materials and Methods
Participants
The Swedish State Population and Address Register (SPAR) is a population-based register with addresses of all families in Sweden. An enquiry was sent to 2000 families in addition to teachers at 50 schools that were randomly contacted via SchoolList.Eu. The recipients (a parent or teacher) received a form asking whether there were twins, full siblings (FSs) or half-siblings (HSs) aged 10–20 years in the family or school who are willing to participate. Responses were received from 271 families. Information regarding twin zygosity and sibling type was provided by the participants’ parents. If the family consisted of more than two children, the closest in age were chosen. Parents who could not provide information about twin and sibling type and/or did not follow the provided test instructions were excluded. After exclusion, the sample consisted of 506 participants, divided into 46 pairs of monozygotic (MZ) twins, 42 pairs of dizygotic (DZ) twins, 140 pairs of FSs and 25 pairs of HSs; same-sex pairs: MZ 46, DZ 18, FS 77 and HS 14). The mean age was 15.0 years for the MZ twins (SD = 3), 15.0 years for the DZ twins (SD = 3), 13.8 years for FS (SD = 2.5) and 15.5 years for HS (SD = 3.5). More females than males participated in the MZ, DZ and HS groups (73.9%, 61.4% and 61.4%, respectively). In the FS group, 49.1% were female. The mean number of siblings within the families was: MZ 2.4 (SD = 1.0), DZ 2.2 (SD = 1.3), FS 1.9 (SD = 1.2) and HS 2.9 (SD = 1.5). According to Statistics Sweden (2019), the mean number of children within families is 1.8. However, families with no children or only one child were not addressed, which explains the somewhat higher figures in the present study.
Materials
FSPE. The FSPE is a Swedish factor analyzed and cross-validated environmental measure (Persson, Reference Persson2011), originally based on an interview related to the psychosocial growth environment for migraine discordant siblings (Persson, Reference Persson1997). The 26 items in the FSPE cover subject–parent, subject–sibling, subject–teacher and subject–peer relations, and events in those relations. The form comprises two higher order factors: FSPE1: Warmth, Support and Openness from Parents, Siblings and Peers (shortened to Warmth; example items are: ‘My parents hug me,’ ‘My parents take me to different places when I need it,’ ‘My parents and I have fun together,’ ‘My parents help me with homework,’ ‘Siblings say they like me’ and ‘I get invited to my pals’ parties’; Cronbach’s α = .82); FSPE2: Family Conflicts and School Discipline (shortened to Conflicts; example items are: ‘My parents yell at each other,’ ‘My parents spank me,’ ‘Siblings tease me and hit me,’ ‘Teachers send complaints to my parents,’ ‘Teachers banish me from the classroom’ and ‘Teachers retain me in school after class’; Cronbach’s α = .71). The items are answered on a 4-point Likert scale: 0 = Never, 1 = Sometimes, 2 = Often, 3 = Very often.
The Junior Eysenck Personality Questionnaire (J-EPQ). The J-EPQ is a well-validated personality test that consists of three personality scales. It has been standardized on a Swedish population (Eysenck et al., Reference Eysenck, von Knorring and von Knorring1988). The form comprises four secondary factors: Extraversion (E) with 24 items that relate to impulsivity and sociability (example items are: ‘Do you like exciting things to happen?,’ ‘Do you have many friends?,’ ‘Do you like to tell jokes to your friends?’; Cronbach’s α = .73); Neuroticism (N) with 22 items that relate to traits such as nervousness and sensibility (example items are: ‘Do you often feel that life is boring?,’ ‘Are you usually worried that terrible things will happen?,’ ‘Do you often have nightmares?’; Cronbach’s α = .84); psychoticism (P) with 21 items that relate to unfriendliness and coldness (example items are: ‘Do you sometimes like to see when a gang mob younger kids?,’ ‘Do you want to hurt people you actually like?,’ ‘Do you wish other children being afraid of you?’; Cronbach’s α = .64). The P-scale correlates negatively with the Big Five personality trait Agreeableness (A) (Colledani et al., Reference Colledani, Anselmi and Robusto2018; Costa & McCrae, Reference Costa and McCrae1985). Since the concept psychoticism leads to confusion, the concept will be supplemented and called psychoticism/antisocial personality in this article. Psychoticism does not correlate with psychotic behavior, but to antisocial personality behavior (Chapman et al., Reference Chapman, Chapman and Kwapil1993; Heath & Martin, Reference Heath and Martin1990; Wakefield, Reference Wakefield1997); Lie (L) is intended to be a validation scale, but some researchers, including Eysenck himself (Eysenck & Eysenck, Reference Eysenck and Eysenck1976), postulate that this scale may relate to personality. Indeed, agreeableness (A) and conscientiousness (C) correlate positively with L (Brajsa-Zganec et al., Reference Brajsa-Zganec, Ivanovic and Lipovcan2011; Ones et al., Reference Ones, Viswesvaran and Reiss1996) and L correlates negatively with P (Roy, Reference Roy2012; Persson Reference Persson2014). Further, people high on P lie more often to themselves and others, but high A relates to low scores for deception (Sarzynska et al., Reference Sarzynska, Falkiewicz, Riegel, Babula, Margulies and Szatkowska2017). The negative correlation between P and L indicates that people high on P do not strive for social desirability (i.e. they possess low L). For these reasons, the L-scale will be considered a personality factor and designated lie/social desirability. The L-scale consists of 22 items (Cronbach’s α = .78). Example items are: ‘Do you always obey when you are told?,’ ‘Have you ever cheated in a game or play?,’ and ‘Have you ever stolen something?.’
Procedure
A test envelope was sent to the participant’s parent, who acted as test leader. The test leader followed written instructions given by the author. The FSPE and J-EPQ forms were answered by the children simultaneously but in different rooms. Only age, sex and number of siblings were added on the form. The participant placed the forms in a sealed envelope, which was handed over to the test leader. A form about zygosity and type of siblings was answered by the test leader. All materials were then placed in a larger envelope addressed to the author.
Statistical Analysis
Personality differences for E, N, P, L and differences on FSPE-Warmth and FSPE-Conflicts between MZ, DZ, FS and HS groups were tested using an analysis of variance with a post hoc test for multiple comparisons. Phenotypic intercorrelations were calculated with Pearson’s r based on the participants absolute scores (N = 506).
A behavioral genetic analysis was done by computing intraclass correlation (R) for the FSPE factors in order to identify rGE, and for the J-EPQ personality factors, in order to estimate the contribution of genetic and environmental factors. Heritability was estimated by two different approaches, depending on the pattern of Rs obtained for the MZ and DZ twins (and additional information based on the Rs in the FS and HS groups). If the R DZ was higher than half the R MZ, the formula suggested by Falconer and Mackay (Reference Falconer and Mackay1998) was used: 2(R MZ − R DZ). The R pattern suggests a primarily additive genetic influence (narrow-sense heritability, h 2a). However, if R MZA > 2R DZ, that is, the R DZ is substantially lower than half the R MZ, the h 2 will be inflated. In these cases, an approach suggested by Loehlin (Reference Loehlin1972) and Vukasovic and Bratko (Reference Vukasovic and Bratko2015) was applied: h 2 = R MZ (i.e. broad-sense heritability, h 2b), assuming the absence of shared environment. The R pattern suggests that nonadditive genetic influence may be important, provided that the equal environment assumption (EEA) is valid. h 2b includes, in addition to additive genetic variance, genetic dominance and three types of epistasis (Cheverud & Routman, Reference Cheverud and Routman1996; Keller et.al, Reference Keller, Coventry, Heath and Martin2005).
Shared environment (c 2) was estimated by R MZ − h 2 and nonshared environment (e 2) by 1 − R MZ. If the EEA is not valid, the c 2 will be underestimated and h 2 will be overestimated. If the reliability of the measures is not 1, the e 2 will be overestimated.
Finally, in order to study Gm, cross-twin, cross-dimension correlation was calculated for each significant correlation between the FSPE environmental factors and J-EPQ personality factors (and between factors in each test).
Cross-twin, cross-dimension correlation (crossr) can be computed in two ways: from twin 1 to twin 2 or from twin 2 to twin 1. However, the average crossr of the two correlations will represent a more reliable estimate. Environmental scores for twin 1 are correlated with personality scores for twin 2, and vice versa, then averaging the correlations. The same was done for pairs of FS and HS.
If the crossr is higher for MZ twins than DZ twins, Gm is suggested. If DZcrossr is substantially greater than half the MZcrossr, shared environment mediation is suggested. If the MZ and DZ crossrs are close to zero (or insignificant), nonshared environment mediation is suggested.
Results
Mean scores and standard deviations for the full sample and for MZ, DZ, FS and HS, respectively, are presented in Table 1. Means and standard deviations were quite similar for most of the variables and groups, but some differences were significant. For psychoticism/antisocial personality (P), MZ scores were 1.5 points lower than FS and HS. For lie/social desirability (L), MZ scores approximately 1.5 points lower than FS. MZ and DZ twins were on average 1 year older than FS, and FSs were about 1 year younger than HS. HS had, on average, one sibling more than FS but about one sibling less than MZ. Cohen’s d ranged from 0.4 for the MZ–FS difference on L and 0.75 for the MZ–HS difference on P.
Descriptive statistics for the full sample and for MZs, DZs, FSs and HSs, respectively (means and standard deviation within brackets)
Note: E, extraversion; N, neuroticism; P, psychoticism/antisocial personality; L, lie/social desirability; FSPE1-Warmth, Warmth, support and openness from parents, siblings and peers; FSPE2-Conflicts, Family conflicts and school discipline; NumSib, number of siblings.
Several phenotypic correlations were identified (see Table 2). The highest correlations were found between P and L — sharing 24% of the variance (negative correlation), and between P and Conflicts — sharing 16% of the variance (positive correlation). P correlated negatively with Warmth, age and sex, sharing 3.6%–7.8% of the variance. L was negatively correlated with Conflicts (sharing 14.4% of the variance), E positively related to Warmth (sharing 4.4% of the variance), and N was positively related to sex and P (sharing 4%–6.2% of the variance). Warmth and Conflicts were negatively correlated.
Phenotypic intercorrelations between the variables in the full sample (N = 506)
Note: E, extraversion; N, neuroticism; P, psychoticism/antisocial personality; L, lie/social desirability; FSPE1-Warmth, Warmth, support and openness from parents, siblings and peers; FSPE2-Conflicts, Family conflicts and school discipline; NumSib, number of siblings. Sex: 1 = Female, 0 = Male.
*p ≤ .05, **p ≤ .01, ***p ≤ .001.
Intraclass correlations for the personality variables and environmental measures are presented in Table 3. Correlations for the DZ-pooled group of same and opposite sex (n = 42) did not differ significantly from the DZ same-sex group (n = 18). A control partial correlation analysis based on the full sample showed that none of the phenotypic intercorrelations were altered when the effect of sex was removed. Thus, in order to increase power, the results in the larger sample are presented. For P, the pattern of correlations suggests nonadditive genetic influences, as the MZ correlation is substantially greater than double the DZ correlation. As for DZ twins, the correlations for FS and HS are also low, which further supports a nonadditive genetic hypothesis. The same pattern was found for L. For these two traits, substantial broad-sense heritability is suggested. Nonshared environment (measurement error included) explains some of the variance, but a common shared environment was not detectable for P and L.
Intraclass correlations (R) for 46 pairs of MZ, 42 pairs of DZ twins, 137 pairs of full siblings (FS) and 25 pairs of half siblings (HS), respectively, and estimates of heritability and environmental influences based on the twin correlations (95% confidence intervals in brackets)
Note: E, extraversion; N, neuroticism; P, psychoticism/antisocial personality; L, lie/social desirability; FSPE1-Warmth, Warmth, support and openness from parents, siblings and peers; FSPE2-Conflicts, Family conflicts and school discipline; h 2a, narrow-sense heritability; h 2b, broad-sense heritability; c 2, shared environment; e 2c, nonshared environment (c, includes error of measurement).
*p ≤ .05, **p ≤ .01, ***p ≤ .001.
The pattern of correlations for E suggests narrow-sense heritability, as the MZ twin correlation is less than double the DZ twin correlation. Shared environment explains approximately as much as the genetic factors. However, nonshared environment and measurement error account for a majority of the variance seen on E.
Significant correlations were found for N in all four groups, but the differences between MZ and DZ and between FS and HS were nonsignificant, suggesting low heritability and substantial shared and nonshared environment.
rGE implies that genetic factors account for differences in the perceived psychosocial environment (see Table 3). A higher correlation for MZ compared to DZ suggests narrow-sense heritability for Warmth, as the MZ correlation is not greater than double the DZ correlation. Genetic factors account for approximately one-fourth of the variance. Most of the variance is related to shared environment and some to nonshared environment, as the MZ correlation is less than 1.
The pattern of correlations for Conflicts is not as clear as for Warmth. The MZ correlation is more than double the DZ correlation, and the DZ correlation is not significant. This supports a nonadditive genetic hypothesis. On the other hand, the FS and HS correlations are significant, suggesting that additive genetic effect or shared environment has some effect. Nonshared environment is unambiguously related to Conflicts, as the MZ correlation is substantially lower than one and the MZ-difference scores on Conflicts correlate significantly with MZ-difference scores on P, r(46) = .30, p = .04, r 2 = .09.
Cross-twin, cross-dimension correlations (crossr) are presented in Table 4. Such correlations provide information on whether phenotypic correlations may be genetically mediated. Warmth and Conflicts were related to P. The pattern of crossrs suggests that the relationships are partly due to nonadditive genetic factors. The correlation between P and L showed the same pattern. The negative relationship between Warmth and Conflicts showed some Gm as well, likely due to rGE, a response to genetically influenced personality. Other phenotypic correlations appear to be mainly mediated by nonshared environment (measurement errors included).
Cross-twin, cross-dimension and cross-sibling, cross-dimension correlations (crossr) between the FSPE environmental factors and J-EPQ personality factors
Note: Correlations that indicate Gm are placed at the top of the table. E, extraversion; N, neuroticism; P, psychoticism/antisocial personality; L, lie/social desirability; FSPE1-Warmth, Warmth, support and openness from parents, siblings and peers; FSPE2-Conflicts, Family conflicts and school discipline.
*p ≤ .05, **p ≤ .01, ***p ≤ .001.
Discussion
The goal of the present study was to reveal a potential rGE related to the FSPE environmental factors Warmth and Conflicts. The results show that both factors may be related to genetic factors, suggesting some reactive/evocative rGE, that is, Warmth and Conflicts at home and in school may be a response to genetically influenced personality factors.
Warmth is also related to shared environment, and a large part of the variance in Conflicts is related to nonshared environment. These findings are in line with meta-analysis (Avinun & Knafo’s, Reference Avinun and Knafo2014; Kendler & Baker, Reference Kendler and Baker2007). The results for Conflicts is, however, not as clear as for Warmth. Signs of both additive and nonadditive genetic variance are present, but signs of shared environment are also seen. An unexpected high correlation for HSs was found. The sample size of HSs (n < 30) may explain such an odd outcome, but a significant correlation was also found for FSs, though this correlation was substantially lower. However, the cross-twin, cross-dimension correlation between Conflicts and P indirectly supports a nonadditive genetic hypothesis, as P showed a nonadditive genetic effect.
The personality factors P, L and E showed heritability. The findings of a nonadditive genetic influence on P have also been found in other studies (Eaves et al., Reference Eaves, Heath, Martin, Maes, Neale, Kendler and Corey1999; Hur, Reference Hur2007; Tambs et al, Reference Tambs, Sundet, Eaves, Hornberg Solaas and Berg1991). P correlates strongly with Hostility (Knust & Stewart, Reference Knust and Stewart2002), and this factor may also be influenced by nonadditive genetic factors (Hur, Reference Hur2006). Further, P correlates negatively with Agreeableness (Big Five), and a nonadditive genetic effect has been found for this variable as well (Hahn et al., Reference Hahn, Spinath, Siedler, Wagner, Schupp and Kandler2012). In comparisons with other traits, P possesses the highest effect-size value accounting for antisocial behavior (Heaven et al., Reference Heaven, Newbury and Wilson2004; Miller & Lynam, Reference Miller and Lynam2001). Also, antisocial behavior assessed with questionnaires and observational methods yielded a high heritability of .67 (O’Connor et al., Reference O’Connor, Neiderhiser, Reiss, Hetherington and Plomin1998). Genetic factors seem to be a complex source of variance in the development of antisocial personality/behavior, as genes may interact both within and between loci.
N showed the lowest heritability coefficient. For this trait, shared and nonshared environment were substantial. Classical twin studies have shown moderate heritability (Vukasovic & Bratko, Reference Vukasovic and Bratko2015), but in a twin-adoption study, heritability was .13 when correlated shared environment was taken into account (Pedersen et al., Reference Pedersen, Plomin, McClearn and Friberg1988), and the effect of shared environment was found to significantly reduce heritability for N alone among 32 traits (Felson, Reference Felson2014).
A phenotypic correlation between P and Conflicts was found (.40). When the effects of age, sex, N, L, Warmth and number of siblings were removed, the partial correlation decreased to .235 (p < .001); thus, the variables share 5.5% of the variance. Cross-twin, cross-dimension correlation (crossr) provides further information about the origin of the relationship. A substantially higher crossr for MZ twins than for DZ, FS and HS suggests nonadditive genetic variance as a mediating factor. The relationships between P–Warmth, P–L and Warmth–Conflicts showed the same nonadditive variance pattern. For half of the phenotypic correlations, nonshared environment and measurement error seem to be the main source of mediating factors, as the crossrs are close to zero in all four groups.
The EEA implies that shared environmental influences are equally important for MZ and DZ twins. That is, shared environment does not make MZ twins more similar phenotypically than DZ twins. The validation of EEA has been examined in many studies (Carbonneau et al., Reference Carbonneau, Rutter, Silberg, Simonoff and Eaves2002; Derks et.al., Reference Derks, Dolan and Boomsma2006; Eaves et al., Reference Eaves, Foley and Silberg2003; Felson, Reference Felson2014; Pedersen et al., Reference Pedersen, McClearn, Plomin, Nesselroade, Berg and DeFaire1991). In conclusion, the findings show some degree of violation, but this does not alter the main conclusion about the importance of genetic factors. The most convincing evidence that the EEA is neither fully valid nor completely erroneous comes from twin-adoption studies. Correlations for MZ and DZ twins reared together are significantly higher than for MZ and DZ twins reared apart, and these differences are more pronounced for MZ twins reared apart than for DZ twins reared apart, suggesting an assimilation effect for MZ twins. Nevertheless, heritability estimates based on twins reared apart, where the EEA has less meaning, are significant for both personality (Pedersen et al., Reference Pedersen, Plomin, McClearn and Friberg1988; Plomin et al., Reference Plomin, Corley, Caspi, Fulker and DeFries1998; Vukasovic & Bratko, Reference Vukasovic and Bratko2015) and family environmental measures (Plomin et al., Reference Plomin, Pedersen, Nesselroade and Bergeman1988).
The pattern of cross-twin, cross-dimension correlations in the present study does not support a common shared environment hypothesis as an important mediating factor. However, a special MZ twin-specific shared environmental effect cannot be ruled out for P and L. The mean and variance for P was significantly lower for MZ than for FS and HS. On L, MZ differed from FS, but not from DZ and HS. Keller et al. (Reference Keller, Coventry, Heath and Martin2005) have found a special twin environmental effect, accounting for 4%–11% of the phenotypic variance on P and L. Taking this factor into account, the heritability for P and L may be somewhat overestimated. Such a downward adjustment does not alter the impression that nonadditive genetic variance seems to be an important factor for P and L. Broad-sense heritability includes both additive and nonadditive genetic variance, and because the present twin sample is not large, the relative importance of these sources of genetic variance cannot be specified.
To increase power, the full sample of same- and opposite-sex DZ, FS and HS pairs was used. MZ twins are always of the same sex. If sex differences are substantial and genetically determined, the heritability estimates may be biased. However, none of the intraclass correlations and cross-twin, cross-dimension correlations in the full samples differed significantly from the smaller samples of same-sex pairs, nor did the correlations differ when the effect of sex was removed in a partial correlation analysis. Large studies have shown that sex differences are quite small and that genetic and shared environmental effects on these differences are also small, because the same genes seem to influence most of the phenotypes in men and women (Stinger et al., Reference Stinger, Polderman and Posthuma2017; Vink et al., Reference Vink, Bartels, van Beijsterveldt, van Dongen, van Beek, Distel and Boomsma2012).
HSs were surprisingly difficult to find. The goal was to recruit 30–100 pairs, but only 25 pairs responded to the inquiry. The reason for this is speculative. According to Statistics Sweden, the number of HSs in the population of 10- to 20-year olds has decreased during the 2000s. Of all children born in 2011, 15% had a HS at birth (Statistics Sweden, 2013). If the presence of HSs decreases in society, some stigmatization effect may occur, making HSs (or their parents) less prone to participate in studies that emphasize this type of kinship.
The information of zygosity and sibling type was delivered by the parents. Using the DNA markers/blood typing method, studies have shown that parents’ accuracy in determining zygosity is between 80% and 85%. These figures are lower compared to zygosity determination by questionnaires (90%–93%; Rietveld et al., Reference Rietveld, van der Valk, Bongers, Stroet, Slagboom and Boomsma2000; Ooki et al., Reference Ooki, Yamada, Asaka and Hayakawa1990; van Jaarsveld et al., Reference van Jaarsveld, Llewellyn, Fildes, Fisher and Wardle2012). DZ twins are sometimes misclassified as MZ twins (17%–26%), and DZ twins are misclassified as MZ twins (0.5%–2%; Herle et al., Reference Herle, Fildes, van Jaarsveld and Rijsdijk2016; King et al., Reference King, Friedman, Lattanzio, Rodgers, Lewis, Dupuy and Williams1980). If the results in the present study are biased by the method of zygosity determination, MZ twins would probably not be more similar than DZ twins on five out of six variables.
The response rate was somewhat over 14%. This may be a problem if the respondents differ substantially from the nonresponders in some way. However, the mean differences between the sample in this study (N = 506) and the samples in the J-EPQ and FSPE-manuals (N = 1090 + 245) were small according to Cohen’s d (0.12–0.45). Coccaro and Jacobsen (Reference Coccaro and Jacobsen2006) showed that a response rate of only 12% of a twin population was sufficient. The respondents did not differ from the nonresponders in any meaningful respect.
The relationships between parental rejection, low parental warmth and antisocial-related personality has been documented in studies with various designs, such as studies using a retrospective approach (Kraft & Zuckerman, Reference Kraft and Zuckerman1999), current rating approach (Nishikawa et al., Reference Nishikawa, Sundbom and Hägglöf2010; Persson, Reference Persson2014), observational MZ twin-difference approach (Deater-Deckard et al., Reference Deater-Deckard, Pike, Petrill, Cutting, Hughes and O’Connor2001; Pike et al., Reference Pike, McGuire, Hetherington, Reiss and Plomin1996) and crosscultural studies as well as in meta-analyses (Khalegue & Rohner, 2011; Lila et al., Reference Lila, Garcia and Garcia2007). The findings in the present study highlight the complexity in such relationships, that is, genetic mediating factors (including nonadditive genetic variance), rGE, specific shared MZ twin environments and nonshared environments, may all contribute to antisocial personality as captured by the P-scale in J-EPQ.
Acknowledgments
I would like to thank the 506 children who participated in the study and their parents for their help with test administration in the home. I would also thank Professor Martin Bäckström, head of the Division of Personality and Social Psychology at the Department of Psychology, Lund University, for his valuable comments on the manuscript.
Financial Support
I would like to thank Per Johnsson, PhD, former head of the Department of Psychology, Lund University, for the research grant that covered the costs paid to the SPAR for the recruitment of participants.
Conflict of Interest
None.
Open access
