This is the most recent report from the US Centers for Disease Control (CDC)-sponsored surveillance study of autism spectrum disorders in American children. The overall prevalence rate of one in 88 children in the US will be frequently cited in research and the media. The methods of recruitment and determining caseness allow comparisons of the 2008 sample to samples collected in the same sites in 2000 and 2006 and so provide a way...

In the field of autism spectrum disorders (ASDs), diagnostic instruments have been helpful in defining populations,¹ merging samples,² and comparing results across studies.^3,4 Nevertheless, best-estimate clinical (BEC) diagnoses have long been the gold standard.^5-7 In single-site studies, BEC diagnoses have added information to standardized instruments to predict later diagnoses^8,9 and classify children according to developmental trajectories of adaptive and language functioning.^10,11 However, researchers have recently expressed skepticism about the scientific and clinical value of categorical ASD groupings in the DSM-IV-TR¹² and the International Statistical Classification of Diseases, 10th Revision¹³ (ie, autistic disorder, pervasive developmental disorder–not otherwise specified [PDD-NOS], Asperger syndrome), on which BEC diagnoses are based.^5,14,15

Background: Autism spectrum disorders (ASD) are early onset neurodevelopmental syndromes typified by impairments in reciprocal social interaction and communication, accompanied by restricted and repetitive behaviors. While rare and especially de novo genetic variation are known to affect liability, whether common genetic polymorphism plays a substantial role is an open question and the relative contribution of genes and environment is contentious. It is probable that the relative contributions of rare and common variation, as well as environment, differs between ASD families having only a single affected individual (simplex) versus multiplex families who have two or more affected individuals.Methods: By using quantitative genetics techniques and the contrast of ASD subjects to controls, we estimate what portion of liability can be explained by additive genetic effects, known as narrow-sense heritability. We evaluate relatives of ASD subjects using the same methods to evaluate the assumptions of the additive model and partition families by simplex/multiplex status to determine how heritability changes with status.Results: By analyzing common variation throughout the genome, we show that common genetic polymorphism exerts substantial additive genetic effects on ASD liability and that simplex/multiplex family status has an impact on the identified composition of that risk. As a fraction of the total variation in liability, the estimated narrow-sense heritability exceeds 60% for ASD individuals from multiplex families and is approximately 40% for simplex families. By analyzing parents, unaffected siblings and alleles not transmitted from parents to their affected children, we conclude that the data for simplex ASD families follow the expectation for additive models closely. The data from multiplex families deviate somewhat from an additive model, possibly due to parental assortative mating.Conclusions: Our results, when viewed in the context of results from genome-wide association studies, demonstrate that a myriad of common variants of very small effect impacts ASD liability.