Objective(s) Developmental Dyslexia is a heritable condition, with genetic factors accounting for 44%–75% of the variance in performance tests of reading component subphenotypes. Compelling genetic linkage and association evidence supports a quantitative trait locus in the 6p21.3 region, which encodes a gene called DCDC2. In the present study, we explored the contribution of two DCDC2 markers to dyslexia, related reading and memory phenotypes in nuclear families of Italian origin. Methods 303 nuclear families recruited on the basis of having a proband with Developmental Dyslexia have been studied with 6p21.3 markers, BV677278 and rs793862. Marker-trait association was investigated by the quantitative transmission disequilibrium test (QTDT, version 2.5.1) as modelled by Abecasis et al. (2000), which allows for the analyses of quantitative traits. Seven phenotypes were used in association analyses, i.e. word and non-word reading, word and non-word spelling, orthographic choice, memory and the affected status based on inclusion criteria. Results QTDT analyses yielded evidence for association between reading skills and the BV677278 deletion (empirical p-values= .025–.029) and between memory and BV677278 allele 10 (empirical p-value= .0001). Conclusions Our result adds further evidence in support of DCDC2 contributing to the deficits in Developmental Dyslexia. More specifically, our data support the view that DCDC2 influences both reading and memory impairments thus shedding further light into the etiologic basis and the phenotypic complexity of Developmental Dyslexia.

These results help to disentangle the role played by both genetic and environmental factors in determining individual differences in stress response in infancy. The results also shed light on the suggestion that HPA and SAM systems are likely to have different characteristic responses to stress.

A putative hazard factor impinging on individual risk at the family-wide level, namely family structure, appears to act interactively with two pivotal serotonergic genes in heightening risk for Affective Problems. Although it remains to be demonstrated that belonging to a one- rather than a two-parent family has true environmental causal effects on Affective Problems, these data may contribute to identify/prevent risk for depression in childhood.

Converging evidence indicates that developmental problems in oral language and mathematics can predate or co-occur with developmental dyslexia (DD). Substantial genetic correlations have been found between language, mathematics and reading traits, independent of the method of sampling. We tested for association of variants of two DD susceptibility genes, DCDC2 and DYX1C1, in nuclear families ascertained through a proband with DD using concurrent measurements of language and mathematics in both probands and siblings by the Quantitative Transmission Disequilibrium Test. Evidence for significant associations was found between DCDC2 and ‘Numerical Facts’ (p value = 0.02, with 85 informative families, genetic effect = 0.57) and between ‘Mental Calculation’ and DYX1C1 markers −3GA (p value = 0.05, with 40 informative families, genetic effect = −0.67) and 1249GT (p value = 0.02, with 49 informative families, genetic effect = −0.65). No statistically significant associations were found between DCDC2 or DYX1C1 and language phenotypes. Both DCDC2 and DYX1C1 DD susceptibility genes appear to have a pleiotropic role on mathematics but not language phenotypes.

The functional Val158Met COMT polymorphism appears to affect a host of behaviours mediated by the pre-frontal cortex, and has been found associated to the risk for disruptive behaviours including ADHD. Parental socioeconomic status (SES) has also been reported as a predictor for the same childhood disorders. In a general population sample of 575 Italian pre-adolescents aged 10-14, we examined the association of the functional Val158Met COMT polymorphism and SES-both as linear and interactive effects-with oppositional defiant problems, conduct problems, and attention deficit/hyperactivity problems, as defined by the newly established Child Behaviour Check-List/6-18 DSM oriented scales. Multivariate-and subsequent univariate-analysis of covariance showed a significant association of COMT 9 SES interaction with CBCL 6/18 DOS attention deficit/hyperactivity problems (p = 0.004), and revealed higher scores among those children with Val/Val COMT genotype who belonged to low-SES families. We also found a significant association of SES with attention deficit/hyperactivity problems and conduct problems DOS (p = 0.04 and 0.01, respectively). Our data are consistent with a bulk of recent literature suggesting a role of environmental factors in moderating the contribution of specific genetic polymorphisms to human variability in ADHD. While future investigations will refine and better clarify which specific environmental and genetic mechanisms are at work in influencing the individual risk to ADHD in pre-adolescence, these data may contribute to identify/prevent the risk for ADHD problems in childhood.