Many children with attention deficit/hyperactivity disorder (ADHD) show symptoms of Autism Spectrum Disorders (ASD), especially problems in reciprocal social interaction (Nijmeijer et al., 2008b). Studies in community twin samples ADHD and ASD have shown that a substantial part of genetic influences are shared between ADHD and ASD (Reiersen, Constantino, Grimmer, Martin, & Todd, 2008; Ronald, Simonoff, Kuntsi, Asherson, & Plomin, 2008); our own study confirmed the familiality of ASD symptoms in children with ADHD and their siblings (Nijmeijer et al., 2008a). Moreover, genetic linkage studies have indentified overlapping sets of suggestive disease loci for ADHD and ASD, (e.g., Faraone et al., 2005; Waldman & Gizer, 2006; Yang & Gill, 2007). Addressing ASD symptoms in children with ADHD may be particularly useful for genetic association studies, especially for candidate gene findings that have not been consistently replicated for ADHD. That is, non-replicated findings may be due to the heterogeneity of ADHD, which may partly stem from presence or absence of ASD symptoms (Mulligan et al., 2009; Nijmeijer et al., 2008). The serotonin transporter gene (SLC6A4/SERT/5-HTT) and catechol O-methyltransferase (COMT) are interesting candidate genes for the study of ASD symptoms in children with ADHD, as both have been implicated not only in ADHD (e.g., Gizer, Ficks, & Waldman, 2009), but also in autism (e.g., Huang & Santangelo, 2008; James et al., 2006). SLC6A4 contains a 44 bp deletion/insertion functional polymorphism in the promoter region, called 5-HTTLPR. In a recent meta-analysis for 5-HTTLPR in ADHD, a significant association was found between the long (L) allele and ADHD (Gizer et al., 2009). On the other hand, a slight majority of studies has indicated the short (S) allele as the ASD risk allele (for reviews see Devlin et al., 2005; Huang & Santangelo, 2008). Animal studies have shown that serotonin is important in the regulation of attention and response control (Gainetdinov et al., 1999; Wistanley et al., 2005). Deficiencies herein are reported for both ADHD and ASD (e.g. Geurts et al., 2004; Happe et al., 2006). Involvement of serotonin in ASD is further supported by its role in early neurodevelopment (Whitaker-Azmitia, 2001), by findings of elevated platelet serotonin levels (Anderson et al., 2002; Mulder et al., 2004), the effectiveness of selective serotonin reuptake inhibitors in the treatment of ASD symptoms (Kolevzon, Mathewson, & Hollander, 2006), and the association between 5-HTTLPR and cortical gray matter volumes (Wassink et al., 2007). COMT contains a single nucleotide polymorphism (SNP) resulting in either valine or methionine encoding alleles (Val158Met). A decreased COMT activity is associated with the Met-allele. In the prefrontal cortex (PFC), this reduced enzyme activity is thought to increase dopamine levels. Research in ADHD patients suggests that the PFC functions inefficiently in the presence of the Val allele (high activity COMT; Blasi et al., 2005; Boonstra et al., 2008), and some studies found that the Val158Met polymorphism was associated with stimulant response in children with ADHD (e.g., Kereszturi et al., 2008). Despite the potential relevance of this polymorphism to the etiology of ADHD, two meta-analyses found no association between ADHD and the Val158Met SNP (Cheuk & Wong, 2006; Gizer et al., 2009). In a recent study, Caspi et al. (2008) concluded that the association may apply only to those children with ADHD who show comorbid antisocial behavior. Palmason et al. (2010) could not confirm this association, although they did find an association between the COMT Val158Met SNP and ADHD. COMT may be an interesting candidate gene for ASD, as inefficient PFC functioning is also implicated in ASD (e.g. Geurts et al., 2004), and dopamine antagonists, such as risperidone, improve some aspects of autism, such as irritability (e.g., McCracken et al., 2002) and executive functioning (Troost et al., 2006). Only two studies to date have addressed the association between COMT and ASD (James et al., 2006; Yirmiya et al., 2001). Yirmiya et al. found no association, whereas James et al. reported the overrepresentation of the COMT Val-allele in children with autism as compared to normal control children. Apart from genetic influences, a range of environmental factors are important in the etiology of ADHD, of which maternal smoking during pregnancy and low birth weight have been the most consistently replicated (Bhutta, Cleves, Casey, Cradock, & Anand, 2002; Langley, Rice, van den Bree, & Thapar, 2005; Linnet et al., 2003). Both are also found to be autism risk factors (Hultman, Sparen, & Cnattingius, 2002; Kolevzon, Gross, and Reichenberg, 2007). Not taking different levels of exposure to these risk factors into account may, in addition to clinical heterogeneity, explain inconsistent association study results for SLC6A4 and COMT in ADHD. This follows from the notion of gene environment (GxE) interactions, i.e., only in the presence of a certain environmental risk factor may a genotype contribute to an increased risk for a disorder. One previous study has reported significant interaction between COMT and birth weight, i.e., for antisocial behaviour in children with ADHD (Thapar et al., 2005). Sengupta et al. (2006), though, could not replicate this finding. The interaction of low birth weight and maternal smoking during pregnancy with SLC6A4 was investigated by Langley et al. (2008), who did not find significant effects on a diagnosis of ADHD, nor on associated antisocial behavior. Clearly, addressing GxE interactions in ADHD and ASD has only recently been started and requires much more study. In the current study, we investigated main and interaction effects of COMT, SLC6A4, maternal smoking during pregnancy, and low birth weight on ASD symptoms in children with ADHD in the Dutch subsample of the International Multicenter ADHD Genetics (IMAGE) study. We continued previous work on SLC6A4 and COMT in the IMAGE sample, in which no association between 5-HTTLPR and ADHD (Xu et al., 2008), and between COMT Val158Met and ADHD (Brookes et al., 2006) was found. ASD symptoms were measured with the Children's Social Behavior Questionnaire (CSBQ; Hartman, Luteijn, Serra, & Minderaa, 2006), that was only available for the Dutch subsample of IMAGE. The CSBQ is an instrument particularly suited to measure the continuous distribution of ASD traits in the population as well as in clinical groups other than ASD (Hartman et al., 2006; Luteijn et al., 2000). All analyses were repeated in an independent Dutch ADHD sample for replication, consisting of children who participated in the TRacking Adolescents' Individual Lives Survey (TRAILS; Huisman et al., 2008).