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The Study to Explore Early Development (SEED): A Multisite Epidemiologic Study of Autism by the Centers for Autism and Developmental Disabilities Research and Epidemiology (CADDRE) Network

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Abstract

The Study to Explore Early Development (SEED), a multisite investigation addressing knowledge gaps in autism phenotype and etiology, aims to: (1) characterize the autism behavioral phenotype and associated developmental, medical, and behavioral conditions and (2) investigate genetic and environmental risks with emphasis on immunologic, hormonal, gastrointestinal, and sociodemographic characteristics. SEED uses a case–control design with population-based ascertainment of children aged 2–5 years with an autism spectrum disorder (ASD) and children in two control groups—one from the general population and one with non-ASD developmental problems. Data from parent-completed questionnaires, interviews, clinical evaluations, biospecimen sampling, and medical record abstraction focus on the prenatal and early postnatal periods. SEED is a valuable resource for testing hypotheses regarding ASD characteristics and causes.

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References

  • Abrahams, B. S., & Geschwind, D. H. (2008). Advances in autism genetics: On the threshold of a new neurobiology. Nature Reviews Genetics, 9, 341–355.

    Article  PubMed  Google Scholar 

  • Achenbach, T. (1992). Child behavior checklist. Burlington, VT: Achenbach System of Empirically based Assessment.

    Google Scholar 

  • Allen, C. W., Silove, N., Williams, K., & Hutchins, P. (2007). Validity of the Social Communication Questionnaire in assessing risk of autism in preschool children with developmental problems. Journal of Autism and Developmental Disorders, 37, 1272–1278.

    Article  PubMed  Google Scholar 

  • Ashwood, P., Anthony, A., Torrente, F., & Wakefield, A. J. (2004). Spontaneous mucosal lymphocyte cytokine profiles in children with autism and gastrointestinal symptoms: Mucosal immune activation and reduced counter regulatory interleukin-10. Journal of Clinical Immunology, 24(6), 664–673.

    Article  PubMed  Google Scholar 

  • Ashwood, P., Wills, S., & Van de Water, J. (2006). The immune response in autism: A new frontier for autism research. Journal of Leukocyte Biology, 80, 1–15.

    Article  PubMed  Google Scholar 

  • Atladottir, H. O., Thorsen, P., Ostergaard, L., Schendel, D. E., Lemcke, S., Abdallah, M., et al. (2010a). Maternal infection requiring hospitalization during pregnancy and autism spectrum disorders. Journal of Autism and Developmental Disorders, 40, 1423–1430.

    Article  PubMed  Google Scholar 

  • Atladottir, H. O., Thorsen, P., Schendel, D. E., Ostergaard, L., Lemcke, S., & Parner, E. T. (2010b). Association of hospitalization for infection in childhood with diagnosis of autism spectrum disorders: A Danish cohort study. Archives of Pediatrics and Adolescent Medicine, 164(5), 470–477.

    Article  PubMed  Google Scholar 

  • Bailey, A., Le Couteur, A., Gottesman, I., Bolton, P., Simonoff, E., Yuzda, E., et al. (1995). Autism as a strongly genetic disorder: Evidence from a British twin study. Psychological Medicine, 25(1), 63–78.

    Article  PubMed  Google Scholar 

  • Baron-Cohen, S., Knickmeyer, R. C., & Belmonte, M. K. (2005). Sex differences in the brain: Implications for explaining autism. Science, 310, 819–823.

    Article  PubMed  Google Scholar 

  • Beversdorf, D., Manning, S., Hillier, A., Anderson, S., Nordgren, R., Walters, S., et al. (2005). Timing of prenatal stressors and autism. Journal of Autism and Developmental Disorders, 35(4), 471–478.

    Article  PubMed  Google Scholar 

  • Boulet, S. L., Boyle, C. A., & Schieve, L. A. (2009). Health care use and health and functional impact of developmental disabilities among US children, 1997–2005. Archives of Pediatrics and Adolescent Medicine, 163(1), 19–26.

    Article  PubMed  Google Scholar 

  • Bremer, A, Giacobini, M., Eriksson, M., Gustavsson, P., Nordin, V., Fernell, E., et al. (2010). Copy number variation characteristics in subpopulations of patients with autism spectrum disorders. American Journal Medicine Genetics B Neuropsychiatric Genetic (Epub ahead of print).

  • Carey, W. B., & McDevitt, S. C. (1995). The Carey temperament scales. Scottsdale, AZ: Behavioral-Developmental Initiatives.

    Google Scholar 

  • Centers for Disease Control and Prevention. (2009). Prevalence of autism spectrum disorders-Autism and Developmental Disabilities Monitoring Network, United States, 2006. Morbid and Mortality Weekly Report, 58, 1–20.

    Google Scholar 

  • Chakrabarti, S., & Fombonne, E. (2001). Pervasive developmental disorders in preschool children. Journal of American Medical Association, 285(24), 3093–3099.

    Article  Google Scholar 

  • Chess, S., Fernandez, P., & Korn, S. (1978). Behavioral consequences of congenital rubella. Journal of Pediatrics, 93(4), 699–703.

    Article  PubMed  Google Scholar 

  • Cohen, D., Pichard, N., Tordjman, S., Baumann, C., Burglen, L., Excoffier, E., et al. (2005). Specific genetic disorders and autism: Clinical contribution towards their identification. Journal of Autism and Developmental Disorders, 35(1), 103–116.

    Article  PubMed  Google Scholar 

  • Colborn, T. (2004). Neurodevelopment and endocrine disruption. Environmental Health Perspectives, 112(9), 944–949.

    Article  PubMed  Google Scholar 

  • Constantino, J. N. (2002). The social responsiveness scale. Los Angeles, CA: Western Psychological Services.

    Google Scholar 

  • DeStefano, F. (2007). Vaccines and autism: Evidence does not support a causal association. Clinical Pharmacology and Therapeutics, 82(6), 756–759.

    Article  PubMed  Google Scholar 

  • Deykin, E. Y., & MacMahon, B. (1979). Viral exposure and autism. American Journal of Epidemiology, 109(6), 628–638.

    PubMed  Google Scholar 

  • DiGuiseppi, C., Hepburn, S., Davis, J. M., Fidler, D. J., Hartway, S., Lee, N. R., et al. (2010). Screening for autism spectrum disorders in children with Down syndrome: Population prevalence and screening test characteristics. Journal of Developmental and Behavioral Pediatrics, 31(3), 181–191.

    Article  PubMed  Google Scholar 

  • Durkin, M. S., Maenner, M. J., Meaney, F. J., Levy, S. E., DiGuiseppi, C., Nicholas, J. S., et al. (2010). Socioeconomic inequality in the prevalence of autism spectrum disorder: Evidence from a US cross-sectional study. PLoS ONE, 5(7), e11551.

    Article  PubMed  Google Scholar 

  • Durkin, M. S., Maenner, M. J., Newschaffer, C. N., Lee, L., Cunniff, C. M., Daniels, J. L., et al. (2008). Advanced parental age and the risk of autism spectrum disorder. American Journal of Epidemiology, 168(11), 1268–1276.

    Article  PubMed  Google Scholar 

  • Folstein, S., & Rutter, M. (1977). Infantile autism: A genetic study of 21 twin pairs. Journal of Child Psychology and Psychiatry and Allied Disciplines, 18(4), 297–321.

    Article  Google Scholar 

  • Fombonne, E. (2003). Epidemiological surveys of autism and other pervasive developmental disorders: An update. Journal of Autism and Developmental Disorders, 33, 365–382.

    Article  PubMed  Google Scholar 

  • Fombonne, E. (2009). Epidemiology of pervasive developmental disorders. Pediatric Research, 65, 591–598.

    Article  PubMed  Google Scholar 

  • Freitag, C. M., Staal, W., Klauck, S. M., Duketis, E., & Waltes, R. (2010). Genetics of autistic disorders: Review and clinical implications. European Child and Adolescent Psychiatry, 19, 169–178.

    Article  PubMed  Google Scholar 

  • Gale, S., Ozonoff, S., & Lainhart, J. (2003). Brief report: Pitocin induction in autistic and nonautistic individuals. Journal of Autism and Developmental Disorders, 33, 205–208.

    Article  PubMed  Google Scholar 

  • Gardener, H., Spiegelman, D., & Buka, S. L. (2009). Prenatal risk factors for autism: Comprehensive meta-analysis. British Journal of Psychiatry, 195(1), 7–14.

    Article  PubMed  Google Scholar 

  • Gerber, J. S., & Offit, P. A. (2009). Vaccines and autism: A tale of shifting hypotheses. Clinical Infectious Diseases, 48(4), 456–461.

    Article  PubMed  Google Scholar 

  • Gillott, A., Furniss, F., & Walter, A. (2001). Anxiety in high-functioning children with autism. Autism, 5, 277–286.

    Article  PubMed  Google Scholar 

  • Goines, P., & Van de Water, J. (2010). The immune system’s role in the biology of autism. Current Opinion in Neurology, 23, 111–117.

    Article  PubMed  Google Scholar 

  • Gotham, K., Risi, S., Pickles, A., & Lord, C. (2007). The autism diagnostic observation schedule: Revised algorithms for improved diagnostic validity. Journal of Autism and Developmental Disorders, 37, 613–627.

    Article  PubMed  Google Scholar 

  • Hall, S. S., Lightbody, A. A., & Reiss, A. L. (2008). Compulsive, self-injurious, and autistic behavior in children and adolescents with fragile X syndrome. American Journal on Mental Retardation, 113, 44–53.

    Article  PubMed  Google Scholar 

  • Hallmayer, J., Cleveland, S., Torres, A., Phillips, J., Cohen, B., Torigoe, T., et al. (2011). Genetic heritability and shared environmental factors among twin pairs with autism. Archives of General Psychiatry,. doi:10.1001/archgenpsychiatry.2011.76.

    PubMed  Google Scholar 

  • Hertz-Picciotto, I., Croen, L. A., Hansen, R., Jones, C. R., Van de Water, J., & Pessah, I. N. (2006). The CHARGE study: An epidemiologic investigation of genetic and environmental factors contributing to autism. Environmental Health Perspectives, 114, 1119–1125.

    Article  PubMed  Google Scholar 

  • Hultman, C., Sparen, P., & Cnattingius, S. (2002). Perinatal risk factors for infantile autism. Epidemiology, 13(4), 417–423.

    Article  PubMed  Google Scholar 

  • Hvidtjørn, D., Grove, J., Schendel, D., Schieve, L., Svaerke, C., Ernst, E., et al. (2011). Risk of autism spectrum disorders in children born after assisted conception. A population-based follow-up study. Journal of Epidemiology Community Health, 65(6), 497–502.

    Article  PubMed  Google Scholar 

  • Hvidtjorn, D., Schieve, L., Schendel, D., Jacobsson, B., Svaerke, C., & Thorsen, P. (2009). Cerebral palsy, autism spectrum disorders, and developmental delay in children born after assisted conception: A systematic review and meta-analysis. Archives of Pediatrics and Adolescent Medicine, 163(1), 72–83.

    Article  PubMed  Google Scholar 

  • Icasiano, F., Hewson, P., Machet, P., Cooper, C., & Marshall, A. (2004). Childhood autism spectrum disorder in the Barwon region: A community based study. Journal of Pediatrics and Child Health, 40(12), 696–701.

    Article  Google Scholar 

  • Ivarsson, S. A., Bjerre, I., Vegfors, P., & Ahlfors, K. (1990). Autism as one of several disabilities in two children with congenital cytomegalovirus infection. Neuropediatrics, 21(2), 102–103.

    Article  PubMed  Google Scholar 

  • Jyonouchi, H., Geng, L., Ruby, A., & Zimmerman-Bier, B. (2005). Dysregulated innate immune responses in young children with autism spectrum disorders: Their relationship to gastrointestinal symptoms and dietary intervention. Neuropsychobiology, 51(2), 77–85.

    Article  PubMed  Google Scholar 

  • Kalkbrenner, A. E., Daniels, J. L., Chen, J.-C., Poole, C., Emch, M., & Morrissey, J. (2010). Perinatal exposure to hazardous air pollutants and autism spectrum disorders at age 8. Epidemiology, 21, 631–641.

    Article  PubMed  Google Scholar 

  • Kielinen, M., Rantala, H., Timonen, E., Linna, S.-L., & Moilanen, I. (2004). Associated medical disorders and disabilities in children with autistic disorder: A population study. Autism, 8(1), 49–60.

    Article  PubMed  Google Scholar 

  • King, M. D., Fountain, C., Dakhlallah, D., & Bearman, P. S. (2009). Estimated autism risk and older maternal age. American Journal of Public Health, 99, 1673–1679.

    Article  PubMed  Google Scholar 

  • Kolevzon, A., Gross, R., & Reichenberg, A. (2007). Prenatal and perinatal risk factors for autism: A review and integration of findings. Archives of Pediatrics and Adolescent Medicine, 161(4), 326–333.

    Article  PubMed  Google Scholar 

  • Lauritsen, M. B., Pedersen, C. B., & Mortensen, P. B. (2005). Effects of familial risk factors and place of birth on the risk of autism: A nationwide register-based study. Journal of Child Psychology and Psychiatry, 46(9), 963–971.

    Article  PubMed  Google Scholar 

  • Lee, L., David, A. B., Rusyniak, J., Landa, R., & Newschaffer, C. J. (2007). Performance of the Social Communication Questionnaire in children receiving preschool special education services. Research in Autism Spectrum Disorders, 1, 126–138.

    Article  Google Scholar 

  • Leonard, H., & Wen, X. (2002). The epidemiology of mental retardation: Challenges and opportunities in the new millennium. Mental Retardation and Developmental Disabilities Research Reviews, 8, 117–134.

    Article  PubMed  Google Scholar 

  • Levy, S., Giarelli, E., Lee, L., Schieve, L., Kirby, R., Cunniff, C., et al. (2010). Autism spectrum disorder and co-occurring developmental, psychiatric, and medical conditions among children in multiple populations of the United States. Journal of Developmental and Behavioral Pediatrics, 31, 267–275.

    Article  PubMed  Google Scholar 

  • Lewis, S. J., & Heaton, K. W. (1997). Stool form scale as a useful guide to intestinal transit time. Scandinavian Journal of Gastroenterology, 32(9), 920–924.

    Article  PubMed  Google Scholar 

  • Li, J., Vestergaard, M., Obel, C., Christensen, J., Precht, D. H., Lu, M., et al. (2009). A nationwide study on the risk of autism after prenatal stress exposure to maternal bereavement. Pediatrics, 123, 1102–1107.

    Article  PubMed  Google Scholar 

  • Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Jr., Leventhal, B. L., DiLavore, P. C., et al. (2000). The autism diagnostic observation schedule-generic: A standard measure of social and communication deficits associated with the spectrum of autism. Journal of Autism and Developmental Disorders, 30(3), 205–223.

    Article  PubMed  Google Scholar 

  • Lord, C., Rutter, M., & Couteur, A. L. (1994). Autism diagnostic interview-revised: A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of Autism and Developmental Disorders, 24(5), 659–685.

    Article  PubMed  Google Scholar 

  • Lord, C., Rutter, M., DiLavore, P. C., & Risi, S. (1999). Autism diagnostic observation schedule. Los Angeles, CA: Western Psychological Services.

    Google Scholar 

  • Maimburg, R., & Vaeth, M. (2006). Perinatal risk factors and infantile autism. Acta Psychiatrica Scandinavica, 114(4), 257–264.

    Article  PubMed  Google Scholar 

  • McGovern, C., & Sigman, M. (2005). Continuity and change from early childhood to adolescence in autism. Journal of Child Psychology and Psychiatry, 46(4), 401–408.

    Article  PubMed  Google Scholar 

  • Miles, J. H., & Hillman, R. E. (2000). Value of a clinical morphology examination in autism. American Journal of Medical Genetics, 91, 245–253.

    Article  PubMed  Google Scholar 

  • Minnesota Department of Health. (2009). Autism spectrum disorders among preschool children participating in the Minneapolis public schools early childhood special education programs. Retrieved from http://www.health.state.mn.us/ommh/projects/autism/report090331.pdf.

  • Molenberghs, G., & Kenward, M. G. (2007). Missing data in clinical studies. Chichester, England: Wiley.

    Book  Google Scholar 

  • Moore, S., Turnpenny, P., Quinn, A., Glover, S., Lloyd, D., Montgomery, T., et al. (2000). A clinical study of 57 children with fetal anticonvulsant syndromes. Journal of Medical Genetics, 37(7), 489–497.

    Article  PubMed  Google Scholar 

  • Moster, D., Lie, R. T., & Markestad, T. (2008). Long term medical and social consequences of preterm birth. New England Journal Medicine, 359, 262–273.

    Article  Google Scholar 

  • Mullen, E. (1995). Mullen scales of early learning. San Antonio, TX: Pearson.

    Google Scholar 

  • Owens, J. A., Spirito, A., & McGuinn, M. (2000). The Children’s Sleep Habits Questionnaire (CSHQ): Psychometric properties of a survey instrument for school-aged children. Sleep, 23(8), 1043–1051.

    PubMed  Google Scholar 

  • Ozonoff, S., Williams, B. J., & Landa, R. (2005). Parental report of the early development of children with regressive autism: The delays-plus regression phenotype. Autism, 9, 461–486.

    Article  PubMed  Google Scholar 

  • Ozonoff, S., Young, G. S., Carter, A., Messinger, D., Yirmiya, N., Zweigenbaum, L., et al. (2011). Recurrence risk for autism spectrum disorders: A Baby Siblings Research Consortium Study. Pediatrics, 128, e488–e495.

    PubMed  Google Scholar 

  • Pardo, C. A., Vargas, D. L., & Zimmerman, A. W. (2005). Immunity, neuroglia and neuroinflammation in autism. International Review of Psychiatry, 17, 485–495.

    Article  PubMed  Google Scholar 

  • Piven, J., Palmer, P., Jacobi, D., Childress, D., & Arndt, S. (1997). Broader autism phenotype: Evidence from a family history study of multiple incidence autism families. American Journal of Psychiatry, 154(2), 185–190.

    PubMed  Google Scholar 

  • Polimeni, M., Richdale, A., & Francis, A. (2005). A survey of sleep problems in autism, Asperger’s disorder and typically developing children. Journal of Intellectual Disability Research, 49(4), 260–268.

    Article  PubMed  Google Scholar 

  • Price, C. S., Thompson, W. W., Goodson, B., Weintraub, E. S., Croen, L. A., Hinrichsen, V. L., et al. (2010). Prenatal and infant exposure to thimerosal from vaccines and immunoglobulins and risk of autism. Pediatrics, 126(4), 656–664.

    Article  PubMed  Google Scholar 

  • Rasalam, A. D., Hailey, H., Williams, J. H., Moore, S. J., Turnpenny, P. D., Lloyd, D. J., et al. (2005). Characteristics of fetal anticonvulsant syndrome associated autistic disorder. Developmental Medicine and Child Neurology, 47(8), 551–555.

    Article  PubMed  Google Scholar 

  • Roberts, E. M., English, P. B., Grether, J. K., Windham, G. C., Somberg, L., & Wolff, C. (2007). Maternal residence near agricultural pesticide applications and autism spectrum disorders among children in the California Central Valley. Environmental Health Perspectives, 115(10), 1482–1489.

    PubMed  Google Scholar 

  • Rogers, S. J. (2004). Developmental regression in autism spectrum disorders. Mental Retardation and Developmental Disabilities Research Reviews, 10(2), 139–143.

    Article  PubMed  Google Scholar 

  • Ronald, A., Happe, F., Bolton, P., Butcher, L. M., Price, T. S., Wheelwright, S., et al. (2006). Genetic heterogeneity between the three components of the autism spectrum: A twin study. Journal of the American Academy of Child and Adolescent Psychiatry, 45(6), 691–699.

    Article  PubMed  Google Scholar 

  • Rosen, N. J., Yoshida, C. K., & Croen, L. A. (2007). Infection in the first 2 years of life and autism spectrum disorders. Pediatrics, 119, 61–69.

    Article  Google Scholar 

  • Rosenberg, R., Law, K., Yenokyan, G., McGready, J., Kaufmann, W. E., & Law, P. A. (2009). Characteristics and concordance of autism spectrum disorders among 277 twin pairs. Archives of Pediatrics and Adolescent Medicine, 163, 907–914.

    Article  PubMed  Google Scholar 

  • Rutter, M., Bailey, A., & Lord, C. (2003a). SCQ: Social Communication Questionnaire. Los Angeles, CA: Western Psychological Services.

    Google Scholar 

  • Rutter, M., Le Couteur, A., & Lord, C. (2003b). ADI-R: The Autism Diagnostic Interview-Revised. Los Angeles, CA: Western Psychological Services.

    Google Scholar 

  • Schendel, D. E., Autry, A., Wines, R., & Moore, C. (2009). The co-occurrence of autism and birth defects: Prevalence and risk in a population-based cohort. Developmental Medicine and Child Neurology, 51, 779–786.

    Article  PubMed  Google Scholar 

  • Schendel, D., & Bhasin, T. K. (2008). Birth weight and gestational age characteristics of children with autism, including a comparison with other developmental disabilities. Pediatrics, 121, 1155–1164.

    Article  PubMed  Google Scholar 

  • Slone Epidemiology Center. (2009). Slone drug dictionary.

  • Soldin, O. P., Lai, S., Lamm, S. H., & Mosee, S. (2003). Lack of a relation between human neonatal thyroxine and pediatric neurobehavioral disorders. Thyroid, 13(2), 193–198.

    Article  PubMed  Google Scholar 

  • Sparrow, S., Balla, D., & Cicchetti, D. (1984). Vineland adaptive behavior scales. San Antonio, TX: Pearson.

    Google Scholar 

  • Spence, S. J., & Schneider, M. T. (2009). The role of epilepsy and epileptiform EEGs in autism spectrum disorders. Pediatric Research, 65(6), 599–606.

    Article  PubMed  Google Scholar 

  • Stein, D., Weizman, A., Ring, A., & Barak, Y. (2006). Obstetric complications in individuals diagnosed with autism and in healthy controls. Comprehensive Psychiatry, 47, 69–75.

    Article  PubMed  Google Scholar 

  • Stromland, K., Nordin, V., Miller, M., Akerstrom, B., & Gillberg, C. (1994). Autism in thalidomide embryopathy: A population study. Developmental Medicine and Child Neurology, 36(4), 351–356.

    Article  PubMed  Google Scholar 

  • Sumi, S., Taniai, H., Miyachi, T., & Tanemura, M. (2006). Sibling risk of pervasive developmental disorder estimated by means of an epidemiologic survey in Nagoya, Japan. Journal of Human Genetics, 51, 518–522.

    Article  PubMed  Google Scholar 

  • Sweeten, T. L., Posey, D. J., & McDougle, C. J. (2004). Brief report: Autistic disorder in three children with cytomegalovirus infection. Journal of Autism and Developmental Disorders, 34(5), 583–586.

    Article  PubMed  Google Scholar 

  • Taniai, H., Nishiyama, T., Miyachi, T., Imaeda, M., & Sumi, S. (2008). Genetic influences on the broad spectrum of autism: Study of proband-ascertained twins. American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics: The Official Publication of the International Society of Psychiatric Genetics, 147B(6), 844–849.

    Google Scholar 

  • The Ohio State University (OSU) Research Unit on Pediatric Psychopharmacology. (2005). OSU Autism Rating Scale (OARS; adapted for SEED) and Clinical Global Impression (CGI; adapted for SEED). Retrieved August 30, 2010 from http://psychmed.osu.edu/resources.htm.

  • Turner, L. M., Stone, W. L., Pozdol, S. L., & Coonrod, E. E. (2006). Follow-up of children with autism spectrum disorders from age 2 to age 9. Autism, 10, 243–265.

    Article  PubMed  Google Scholar 

  • Volk, H. E., Hertz-Picciotto, I., Delwiche, L., Lurmann, F., McConnell, R. (2010). Residential proximity to freeways and autism in the CHARGE study. Environmental Health Perspective. Online December 2010.

  • Wahl, R. U. R. (2004). Could oxytocin administration during labor contribute to autism and related behavioral disorders? A look at the literature. Medical Hypotheses, 63, 456–460.

    Article  PubMed  Google Scholar 

  • Wassink, T., Piven, J., & Patil, S. (2001). Chromosomal abnormalities in a clinic sample of individuals with autistic disorder. Psychiatric Genetics, 11(2), 57–63.

    Article  PubMed  Google Scholar 

  • Wier, M. L., Yoshida, C. K., Odouli, R., Grether, J. K., & Croen, L. A. (2006). Congenital anomalies associated with autism spectrum disorders. Developmental Medicine and Child Neurology, 48(6), 500–507.

    Article  PubMed  Google Scholar 

  • Wiggins, L. D., Bakeman, R., Adamson, L. B., & Robins, D. L. (2007). The utility of the Social Communication Questionnaire in screening for autism in children referred for early intervention. Focus on Autism and Other Developmental Disabilities, 22, 33–38.

    Article  Google Scholar 

  • Windham, G. C., Anderson, M. C., Croen, L. A., Smith, K. S., Collins, J., & Grether, J. K. (2011). Birth prevalence of autism spectrum disorders in the San Francisco Bay Area by demographic and ascertainment source characteristics. Journal Autism Developmental Disorders, 41, 1362–1372.

    Article  Google Scholar 

  • Windham, G. C., Zhang, L., Gunier, R., Croen, L. A., & Grether, J. K. (2006). Autism spectrum disorders in relation to distribution of hazardous air pollutants in the San Francisco bay area. Environmental Health Perspectives, 114(9), 1438–1444.

    Article  PubMed  Google Scholar 

  • Wiznitzer, M. (2004). Autism and tuberous sclerosis. Journal of Child Neurology, 19(9), 675–679.

    PubMed  Google Scholar 

  • Wulffaert, J., Van Berckelaer-Onnes, I. A., & Scholte, E. M. (2009). Autistic disorder symptoms in Rett syndrome. Autism, 13(6), 567–581.

    Article  PubMed  Google Scholar 

  • Yeargin-Allsopp, M., Rice, C., Karapurkar, T., Doernberg, N., Boyle, C., & Murphy, C. (2003). Prevalence of autism in a US metropolitan area. Journal of American Medical Association, 289(1), 49–55.

    Article  Google Scholar 

  • Zecavati, N., & Spence, S. (2009). Neurometabolic disorders and dysfunction in autism spectrum disorders. Current Neurology and Neuroscience Reports, 9, 129–136.

    Article  PubMed  Google Scholar 

  • Zwaigenbaum, L., Szatmari, P., Jones, M. B., Bryson, S. E., MacLean, J. E., Mahoney, W. J., et al. (2002). Pregnancy and birth complications in autism and liability to the broader autism phenotype. Journal of the American Academy of Child and Adolescent Psychiatry, 41(5), 572–579.

    Article  PubMed  Google Scholar 

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Acknowledgments

We gratefully acknowledge the technical, clinical, and scientific contributions of the following people to the study planning and implementation of SEED: Jennifer Baltz, Craig Clement, Lindsey Culp, Jamie Dahm, Paige Gallito-Zaparaniuk, Isabella Hardwick, Victoria Heffernan, Charmaine McKenzie, Katie Voss; Rachel Avchen, Tanya Karapurkar Bhasin, Kathy Barron, Chris Colemeco, Tom Crawford, Becky Edmondson, Ellen Elias, Art Grix, Janine Higgins, Nancy Hobson, Julie Hoover-Fong; Susan Johnson, Melanie Kasten, Marti Kepner, Patti Leonard, Kathleen Lesko, Sara Nixon, Michelle Petrongolo, Debbie Reinhartsen, Catherine Rice, Marjorie Shulbank, Kathleen Thomas, Megan Carolan Tomkinson, Victoria Tompkins, Ann Tsai, Dana Won, Mi-Yeet Wong, Jordana Woodford; Amy Sims, Frank Destefano. We recognize all SEED recruitment, enrollment, interviewing, clinical evaluation, medical abstraction, data management, and research assistant staff members for their ongoing efforts in SEED. We appreciate the support by SEED’s local collaborators: California Department of Developmental Services; the Regional Center of the East Bay; the San Andreas Regional Center; the California Department of Public Health; the Colorado Department of Public Health and Environment Vital Records Section; The Children’s Hospital, Denver; JFK Partners, University of Colorado School of Medicine; the Metro Denver Early Intervention Colorado Part C programs; the Metropolitan Atlanta Public School Districts; the Georgia Department of Community Health; the Georgia Department of Behavioral Health and Developmental Disabilities; the Emory Clinic; Emory Children’s Center; Children’s Hospital of Atlanta; Developmental and Child Behavioral Associates; Woodlawn Developmental Pediatrics; the Maryland Department of Health and Mental Hygiene, Department of Vital Statistics; the Maryland State Department of Education, Division of Special Education/Early Intervention Services; Kennedy Krieger Institute Center for Autism and Related Disorders; the State Center for Health Statistics and the Early Intervention Branch of the NC Department of Health and Human Services; the Carolina Institute for Developmental Disabilities Research Registry; the Chester County Intermediate Unit; Elwyn Incorporated; Variety Club; the Center for Autism, Conshohocken; the Pennsylvania Department of Vital Statistics. We also are thankful for the valuable advice and guidance provided by our local partners: California CADDRE Community Advisory Board and Pennsylvania CADDRE Community Advisory Board. Finally, we extend our sincere appreciation, admiration, and respect to SEED children and families who made all our efforts in SEED possible. This publication was supported by six cooperative agreements from the Centers for Disease Control and Prevention: Cooperative Agreement Number U10DD000180, Colorado Department of Public Health; Cooperative Agreement Number U10DD000181, Kaiser Foundation Research Institute (CA); Cooperative Agreement Number U10DD000182, University of Pennsylvania; Cooperative Agreement Number U10DD000183, Johns Hopkins University; Cooperative Agreement Number U10DD000184, University of North Carolina at Chapel Hill; and Cooperative Agreement Number U10DD000498, Michigan State University.

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Correspondence to Diana E. Schendel.

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Disclaimer: The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

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Schendel, D.E., DiGuiseppi, C., Croen, L.A. et al. The Study to Explore Early Development (SEED): A Multisite Epidemiologic Study of Autism by the Centers for Autism and Developmental Disabilities Research and Epidemiology (CADDRE) Network. J Autism Dev Disord 42, 2121–2140 (2012). https://doi.org/10.1007/s10803-012-1461-8

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