Interaction Between MAO-A Genotype and Maltreatment in the Risk for Conduct Disorder: Failure to Confirm in Adolescent Patients

Patients were 247 male adolescents (ages 12–18 years) who were referred to residential or intensive day treatment between 1998 and 2002 for conduct and substance use problems. Most patients (99%) were referred by juvenile justice and social service agencies. Program staff obtained written informed consent from the parent or guardian and assent from the adolescent patient for treatment as well as participation in clinical and genetic research. Admission criteria included significant conduct and substance use problems. Exclusion criteria were current psychosis, mental retardation, current suicidal or homicidal ideation, current intoxication, or current illness that prevented participation in treatment activities. Females were excluded from our cohort in order to make it comparable to the Caspi et al. (14) study. Male patients who were admitted to treatment, but did not remain in treatment for at least 7 days (in order to complete the assessment protocols used in this study) or did not maintain drug-free urine tests before assessment, were not included in the study cohort.

Examiners were rigorously trained in the administration of a structured psychiatric assessment before conducting face-to-face interviews with each patient. The National Institute of Mental Health Diagnostic Interview Schedule for Children (DISC–IV) was used to assess conduct disorder symptoms according to DSM-IV criteria. Lifetime symptom counts were used in order to avoid the biases that may arise with past year reports, given that many of the patients had been incarcerated for extended periods prior to admission. Conduct disorder scores were age-corrected on the basis of a sample of 2,067 male adolescents participating in community-based family studies of problem behavior (25) . This method was deemed most appropriate, since the natural increase in symptoms with age that we would expect to see in the general population would be masked in the clinical cohort by the fact that they had been referred for treatment on the basis of their conduct disorder severity rather than their age. Estimates of the age regression on lifetime conduct disorder symptoms in the community-based male adolescents were applied to the clinical sample. The resulting standardized residual scores were used in all subsequent analyses.

The Colorado Adolescent Rearing Inventory (26), a 48-item face-to-face interview, was used to assess four domains of childhood maltreatment: neglect (15 items), verbal/psychological abuse (8 items), physical abuse (12 items), and sexual abuse (13 items). The Colorado Adolescent Rearing Inventory interview and instruction manual are available free of charge on the web (http://ibgwww.Colorado.edu/cadd/a_drug/links/cari_home.html). Details about the development and standardization of the inventory have been previously published (26) ; a significant relationship was also seen between Colorado Adolescent Rearing Inventory scores and DSM-IV conduct disorder symptom counts in both adolescent patients and matched community comparison adolescents.

The estimated internal consistency for the total Colorado Adolescent Rearing Inventory score (computed as the sum of four domain scores) in the current study was quite high (Cronbach’s alpha=0.87) and did not differ substantially from that of the subscale scores from the four domains, which ranged from 0.64 for the verbal/psychological abuse scale to 0.86 for the sexual abuse scale.

Any endorsement of the 48 core items was followed up by a series of “probe” questions addressing subject age at first occurrence, subject relationship to the perpetrator, the duration or frequency of abuse/neglect, resulting injuries, treatments received, and living situation at the time of the event. Positive endorsement of any one (or more) of 18 items that were considered to be flagrant abuse (e.g., “Did anyone ever intentionally burn you, for example, with cigarettes, or matches, or scalding water, or a stove top?”) required reporting to a child welfare agency.

For the present study, positive endorsement of each individual item was weighted by its corresponding duration (neglect) or frequency (abuse) level (obtained through the probe questions) in order to maximize the severity information contained in the scores. We computed the sum of the weighted domain scores to create a total Colorado Adolescent Rearing Inventory “severity” score that reflected both the breadth and depth of the maltreatment. The resulting scores were log-transformed to reduce skewness. The weighted Colorado Adolescent Rearing Inventory score correlates well (r=0.82, p<0.01) with the original, unweighted score previously studied (26) .

Social class was estimated from parental reports of educational and occupational status modified from the work of Hollingshead and Redlich.

Buccal cell DNA was extracted as described previously (23) . The 30-bp variable number tandem repeat polymorphism in the 5′ promoter region of the monoamine oxidase A (MAOA) gene was assayed as described by Sabol and Hamer (27) . PCR reactions contained 1 μL of DNA (20 ng or less), 1.8 mM MgCl ₂, 180 μΜ deoxynucleotides, with 7′-deaza-2′-deoxyGTP (Roche Applied Science, Indianapolis) substituted for one half of the dGTP, 200 nM forward and reverse primers (IDT, Coralville, Iowa) and 1 unit of AmpliTaq Gold® polymerase (PE-Biosystems, Foster City, Calif.), in a total volume of 20 μL. Primer sequences were forward, 5′-ACAGCCTGACCGTGGAGAAG-3′ (fluorescently labeled), and reverse, 5′-GAACGTGACGCTCCATTCGGA-3′. Amplification was performed using touchdown PCR (28) . A 95°C incubation for 10 minutes was followed by two cycles of 95°C for 30 seconds, 55°C for 30 seconds, and 72°C for 60 seconds. The annealing temperature was decreased every two cycles from 65°C to 57°C in 2°C increments (10 cycles total), and a final 30 cycles of 95°C for 30 seconds, 65°C for 30 seconds, and 72°C for 60 seconds and a final 30-minute incubation at 72°C. One μL of PCR product was then combined with 2 μL of loading buffer containing size standard (Genescan 500 TAMRA® PE-Biosystems); PCR products were analyzed in an ABI Prism 377 ABI Genetic Analyzer using the protocols that were supplied by the company. Products of this reaction included three fragment sizes that ranged between 291 and 351 bp (2 to 4 repeats). In the current study group, the 3-repeat and 4-repeat alleles (321 bp and 351 bp) were the most common, with rates of 28% and 71%, respectively. On the basis of evidence suggesting that allelic groups can be pooled along the lines of their effects on transcriptional efficiency (27, 29, 30), those with the 2-repeat allele (291 bp; 1%) were combined with those with the 3-repeat allele (321 bp; 28%). A sequence length of at least 351 bp (4 repeats) is optimal for high expression (27) . Thus, the shorter allele category (291 and 321) is functionally classified as the risk allele associated with low MAO-A activity. Because this MAO-A polymorphism is located on the X chromosome, the current male sample is hemizygous; the allele frequencies after pooling were 29% for the 321-bp allele and 71% for the 351-bp allele.

Biological parents and siblings of the patients were also genotyped, providing the data necessary to confirm Mendelian inheritance. This method of error checking, along with considerable numbers of random duplicate genotyping of individuals, maximizes our confidence in the accuracy of the allele calls. Incompatible genotypes were detected in less than 1% of the sample; in these cases individuals were excluded from all analyses. Table 1 shows the allele frequencies divided among our ethnic groups. Results of a chi-square analysis of proportions showed no significant differences in allele frequencies by ethnic group.

Neglect and abuse were not uncommon in this clinical cohort: nearly half of the adolescent boys reported at least one maltreatment event. Table 2 shows the endorsement rates of maltreatment occurring by age 11. This “first decade of life” criterion was applied in order to closely match the timeframe used in the Caspi et al. (14) study. More than one-third of the subjects reported some neglect (17.4%) or physical abuse (16.6%), while the prevalence of verbal and sexual abuse was slightly less pronounced.

The most frequently endorsed neglectful event was being repeatedly threatened with abandonment (7.3%). Patients frequently reported being yelled at daily (8.1%), being hit with a fist (9.3%), being given alcohol or drugs (9.7%), and being hit with a belt, whip, cord, etc. (14.6%). Table 2 also shows endorsement rates of maltreatment when age of first occurrence was ignored (i.e., occurrence in childhood or adolescence). Although rates were higher for all four domains, rates of sexual abuse were elevated most dramatically, increasing from 5.2% with one or more events to 19.0%. Endorsement rates for maltreatment of any form increased from 28.3% to 45.8% when comparing the first decade of life to all of childhood/adolescence; rates falling into the “severe” category more than doubled.

All of the youths had been referred for serious conduct problems. According to information from the self-report DISC-IV interview, 87.1% of the patients met DSM criteria for conduct disorder. Although 12.9% (N=32) of the patients failed to meet criteria for conduct disorder, most (N=27) met criteria for one or two symptoms; only five boys (2.0% of the entire cohort) denied a history of any conduct disorder symptoms. Overall, the adolescent boys in the current study represent a severely behaviorally disturbed group. The mean number of symptoms in this patient cohort (mean=5.83, SD=2.88) is nearly twice the required number to meet criteria for a lifetime diagnosis.

Standard regression analyses were conducted to test whether conduct disorder severity scores could be predicted by weighted maltreatment scores, MAO-A genotype, and the interaction between weighted scores and MAO-A. The MAO-A genotypes were dummy coded as 0 (low activity) and 1 (high activity). These analyses used only those neglect/abuse endorsements with reported age of first occurrence before age 11. Figure 1 displays a two-group scatterplot of the weighted maltreatment scores against conduct disorder scores. Regression lines were fit for each group and are displayed to facilitate group comparison.

Consistent with the Caspi et al. findings (14), the main effect for maltreatment on conduct problems was significant (standardized β=0.23; R ² =0.05, p<0.01), but the main effect for genotype was not (β=0.03; R ² <0.01, p=0.62). However, we observed no significant interaction between weighted maltreatment scores and MAO-A (β<0.01; R ² <0.01, p=0.94). We also examined this model with each of the four maltreatment types. As shown in Figure 2, no significant interactions with MAO-A genotype were detected for neglect (β=–0.06, p=0.39), verbal/psychological abuse (β=–0.06, p=0.45), physical abuse (β=0.07, p=0.32), or sexual abuse (β=0.05, p=0.45).

We conducted secondary analyses of the MAO-A polymorphism in which weighted maltreatment scores included all neglect and abuse events occurring across childhood and adolescence (i.e., not restricted to “first decade of life”). The more cumulative scores correlated very strongly with the original early childhood scores ranging from r=0.68 for sexual abuse to r=0.99 for all other domains. Thus, we did not expect a meaningful change in the interaction analysis, which indeed yielded essentially identical results to the childhood-only analyses.

In addition, we included a measure of socioeconomic status, derived from parental education and occupation data, as a covariate in the MAO-A regression analyses. Socioeconomic status was very weakly associated with Colorado Adolescent Rearing Inventory scores (r=–0.01 to –0.02) as well as with conduct disorder (r=0.05), and had a negligible impact on the results of the MAO-A interaction analyses.

To estimate the level of statistical power we had to detect an interaction effect in the regression models, a series of simulations were performed. Using the fixed main effect values from the Colorado Adolescent Rearing Inventory weighted analysis, we simulated 1,000 datasets of our current cohort size (N=247), varying the interaction effect from β=0.10 to β=0.40 in increments of 0.02. Results of the simulation demonstrated that we had 90% power to detect an effect of β=0.20 and 80% power to detect an effect of β=0.18, which is approximately half the effect size of that reported by Caspi et al. (14) (β=0.36).