42 results on '"Zwaigenbaum, L"'
Search Results
2. Examining Trajectories of Daily Living Skills over the Preschool Years for Children with Autism Spectrum Disorder
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Di Rezze, B., Duku, E., Szatmari, P., Volden, J., Georgiades, S., Zwaigenbaum, L., Smith, I. M., Vaillancourt, T., Bennett, T. A., Elsabbagh, M., Thompson, A., Ungar, W. J., and Waddell, C.
- Abstract
Preschool children with autism spectrum disorder (ASD) experience slower development of daily living skills (DLS) that are essential for independent functioning compared to typically developing children. Few studies have examined the trajectories of DLS in preschoolers with ASD and the existing literature has reported conflicting results. This study examined DLS trajectories and potential covariates for preschoolers with ASD from a multi-site longitudinal study following children from diagnosis to the end of grade 1. Multi-level modeling was conducted with DLS domain scores from the Vineland Adaptive Behavior Scales-2. The results demonstrated a positive trajectory of increasing scores over time, associations of age of diagnosis, developmental level, stereotypy, and language skills with the mean score at T4 or age 6 years, whereas rate of change was only associated with ASD symptom severity, such that an improvement in DLS trajectory was associated with lower and improving ASD symptom severity.
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- 2019
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3. The Importance of Temperament for Understanding Early Manifestations of Autism Spectrum Disorder in High-Risk Infants
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Paterson, Sarah J., Wolff, Jason J., Elison, Jed T., Winder-Patel, Breanna, Zwaigenbaum, Lonnie, Estes, Annette, Pandey, Juhi, Schultz, Robert T., Botteron, Kelly, Dager, Stephen R., Hazlett, Heather C., Piven, Joseph, Piven, J., Hazlett, H. C., Chappell, C., Dager, S., Estes, A., Shaw, D., Botteron, K. N., McKinstry, R. C., Constantino, J., Pruett, J., Schultz, R. T., Paterson, S., Zwaigenbaum, L., Elison, J., Evans, A. C., Collins, D. L., Pike, G. B., Fonov, V., Kostopoulos, P., Das, S., Gerig, G., Styner, M., and Gu, H.
- Abstract
The present study investigated the relationship between infant temperament characteristics and autism spectrum disorder (ASD) risk status. Temperament was examined at 6, 12, and 24 months in 282 infants at high familial risk for ASD and 114 low-risk controls using the Infant Behavior Questionnaire-Revised and Early Childhood Behavior Questionnaire. Infants were divided into three groups at 24 months: High-Risk Positive--classified as ASD (HR Pos), High-Risk Negative (HR Neg), and Low-Risk Negative (LR Neg). At 6 and 12 months HR Pos infants exhibited lower Surgency and Regulatory Capacity than LR Neg infants. By 12 months they also demonstrated increased Negative Affect. Group differences remained, when early signs of ASD were controlled for, suggesting that temperament differences could be useful targets for understanding the development of ASD.
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- 2019
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4. Association of Epidural Analgesia During L&D With Autism Spectrum Disorder in Offspring
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Hanley, G.E., Bickford, C., Ip, A., Lanphear, N., Lanphear, B., Weikum, W., Zwaigenbaum, L., and Oberlander, T.F.
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- 2022
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5. Variability in Verbal and Nonverbal Communication in Infants at Risk for Autism Spectrum Disorder: Predictors and Outcomes
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Franchini, M., Duku, E., Armstrong, V., Brian, J., Bryson, S. E., Garon, N., Roberts, W., Roncadin, C., Zwaigenbaum, L., and Smith, I. M.
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Early communication impairment is among the most-reported first concerns in parents of young children with autism spectrum disorder (ASD). Using a parent-report questionnaire, we derived trajectory groups for early language and gesture acquisition in siblings at high risk for ASD and in children at low risk, during their first 2 years of life. Developmental skills at 6 months were associated with trajectory group membership representing growth in receptive language and gestures. Behavioral symptoms also predicted gesture development. All communication measures were strongly related to clinical and developmental outcomes. Trajectory groups further indicated slowest language/gesture acquisition in infants with later ASD diagnoses, in particular when associated with language delay. Overall, our results confirm considerable variability in communication development in high-risk infants.
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- 2018
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6. Indices of repetitive behaviour are correlated with patterns of intrinsic functional connectivity in youth with autism spectrum disorder
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Traynor, J.M., Doyle-Thomas, K.A.R., Hanford, L.C., Foster, N.E., Tryfon, A., Hyde, K.L., Anagnostou, E., Evans, A.C., Zwaigenbaum, L., and Hall, G.B.C.
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- 2018
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7. Infants at Risk for Autism Spectrum Disorder: Frequency, Quality, and Variety of Joint Attention Behaviors
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Franchini, Martina, Hamodat, T., Armstrong, V. L., Sacrey, L.-A. R., Brian, J., Bryson, S. E., Garon, N., Roberts, W., Zwaigenbaum, L., and Smith, I. M.
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- 2019
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8. Subcortical Brain and Behavior Phenotypes Differentiate Infants With Autism Versus Language Delay
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Piven, J., Hazlett, H.C., Chappell, C., Dager, S., Estes, A.M., Shaw, D., Botteron, K., McKinstry, R., Constantino, J., Pruett, J., Schultz, R.T., Pandey, J., Paterson, S., Zwaigenbaum, L., Elison, J.T., Wolff, J.J., Evans, A.C., Collins, D.L., Pike, G.B., Fonov, V., Kostopoulos, P., Das, S., Gerig, G., Styner, M., Gu, H., Swanson, Meghan R., Shen, Mark D., Wolff, Jason J., Elison, Jed T., Emerson, Robert W., Styner, Martin A., Hazlett, Heather C., Truong, Kinh, Watson, Linda R., Paterson, Sarah, Marrus, Natasha, Botteron, Kelly N., Pandey, Juhi, Schultz, Robert T., Dager, Stephen R., Zwaigenbaum, Lonnie, Estes, Annette M., and Piven, Joseph
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- 2017
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9. Increased Extra-axial Cerebrospinal Fluid in High-Risk Infants Who Later Develop Autism
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Shen, Mark D., Kim, Sun Hyung, McKinstry, Robert C., Gu, Hongbin, Hazlett, Heather C., Nordahl, Christine W., Emerson, Robert W., Shaw, Dennis, Elison, Jed T., Swanson, Meghan R., Fonov, Vladimir S., Gerig, Guido, Dager, Stephen R., Botteron, Kelly N., Paterson, Sarah, Schultz, Robert T., Evans, Alan C., Estes, Annette M., Zwaigenbaum, Lonnie, Styner, Martin A., Amaral, David G., Piven, Joseph, Piven, J., Hazlett, H.C., Chappell, C., Dager, S., Estes, A., Shaw, D., Botteron, K., McKinstry, R., Constantino, J., Pruett, J., Schultz, R., Zwaigenbaum, L., Elison, J., Evans, A.C., Collins, D.L., Pike, G.B., Fonov, V., Kostopoulos, P., Das, S., Gerig, G., Styner, M., and Gu, H.
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- 2017
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10. The Emergence of Network Inefficiencies in Infants With Autism Spectrum Disorder
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Piven, J., Hazlett, H.C., Chappell, C., Dager, S.R., Estes, A.M., Shaw, D., Botteron, K.N., McKinstry, R.C., Constantino, J., Pruett, J.R., Schultz, R.T., Paterson, S., Zwaigenbaum, L., Elison, J.T., Evans, A.C., Collins, D.L., Pike, G.B., Fonov, V., Kostopoulos, P., Das, S., Gerig, G., Styner, M.A., Gu, H., Lewis, John D., Evans, Alan C., Pruett, John R., Jr., Botteron, Kelly N., McKinstry, Robert C., Zwaigenbaum, Lonnie, Estes, Annette M., Collins, D. Louis, Kostopoulos, Penelope, Gerig, Guido, Dager, Stephen R., Paterson, Sarah, Schultz, Robert T., Styner, Martin A., Hazlett, Heather C., and Piven, Joseph
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- 2017
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11. Predictive impact of rare genomic copy number variations in siblings of individuals with autism spectrum disorders
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D’Abate, L., Walker, S., Yuen, R. K. C., Tammimies, K., Buchanan, J. A., Davies, R. W., Thiruvahindrapuram, B., Wei, J., Brian, J., Bryson, S. E., Dobkins, K., Howe, J., Landa, R., Leef, J., Messinger, D., Ozonoff, S., Smith, I. M., Stone, W. L., Warren, Z. E., Young, G., Zwaigenbaum, L., and Scherer, S. W.
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- 2019
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12. A longitudinal comparison of emotional, behavioral and attention problems in autistic and typically developing children.
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Wright, N., Courchesne, V., Pickles, A., Bedford, R., Duku, E., Kerns, C. M., Bennett, T., Georgiades, S., Hill, J., Richard, A., Sharp, H., Smith, I. M., Vaillancourt, T., Zaidman-Zait, A., Zwaigenbaum, L., Szatmari, P., and Elsabbagh, M.
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PARENT attitudes ,CHILD development ,BEHAVIOR disorders in children ,ATTENTION-deficit hyperactivity disorder ,CHILD Behavior Checklist ,COMPARATIVE studies ,SEX distribution ,AUTISM ,AFFECTIVE disorders ,DESCRIPTIVE statistics ,ATTENTION ,RESEARCH funding ,STATISTICAL models ,EMOTIONS ,LONGITUDINAL method ,MENTAL illness ,PARENTS - Abstract
Background: Mental health problems are elevated in autistic individuals but there is limited evidence on the developmental course of problems across childhood. We compare the level and growth of anxious-depressed, behavioral and attention problems in an autistic and typically developing (TD) cohort. Methods: Latent growth curve models were applied to repeated parent-report Child Behavior Checklist data from age 2–10 years in an inception cohort of autistic children (Pathways, N = 397; 84% boys) and a general population TD cohort (Wirral Child Health and Development Study; WCHADS; N = 884, 49% boys). Percentile plots were generated to quantify the differences between autistic and TD children. Results: Autistic children showed elevated levels of mental health problems, but this was substantially reduced by accounting for IQ and sex differences between the autistic and TD samples. There was small differences in growth patterns; anxious-depressed problems were particularly elevated at preschool and attention problems at late childhood. Higher family income predicted lower base-level on all three dimensions, but steeper increase of anxious-depressed problems. Higher IQ predicted lower level of attention problems and faster decline over childhood. Female sex predicted higher level of anxious-depressed and faster decline in behavioral problems. Social-affect autism symptom severity predicted elevated level of attention problems. Autistic girls' problems were particularly elevated relative to their same-sex non-autistic peers. Conclusions: Autistic children, and especially girls, show elevated mental health problems compared to TD children and there are some differences in predictors. Assessment of mental health should be integrated into clinical practice for autistic children. [ABSTRACT FROM AUTHOR]
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- 2023
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13. Language Impairment and Early Social Competence in Preschoolers with Autism Spectrum Disorders: A Comparison of DSM-5 Profiles
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Bennett, T. A., Szatmari, P., Georgiades, K., Hanna, S., Janus, M., Georgiades, S., Duku, E., Bryson, S., Fombonne, E., Smith, I. M., Mirenda, P., Volden, J., Waddell, C., Roberts, W., Vaillancourt, T., Zwaigenbaum, L., Elsabbagh, M., and Thompson, A.
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Children with autism spectrum disorder (ASD) and structural language impairment (LI) may be at risk of more adverse social-developmental outcomes. We examined trajectories of early social competence (using the Vineland-II) in 330 children aged 2-4 years recently diagnosed with ASD, and compared 3 subgroups classified by: language impairment (ASD/LI); intellectual disability (ASD/ID) and ASD without LI or ID (ASD/alone). Children with ASD/LI were significantly more socially impaired at baseline than the ASD/alone subgroup, and less impaired than those with ASD/ID. Growth in social competence was significantly slower for the ASD/ID group. Many preschool-aged children with ASD/LI at time of diagnosis resembled "late talkers" who appeared to catch up linguistically. Children with ASD/ID were more severely impaired and continued to lag further behind.
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- 2014
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14. Emerging cognitive profiles in high-risk infants with and without autism spectrum disorder
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Brian, A. Jessica, Roncadin, C., Duku, E., Bryson, S.E., Smith, I.M., Roberts, W., Szatmari, P., Drmic, I., and Zwaigenbaum, L.
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- 2014
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15. Language delay aggregates in toddler siblings of children with autism spectrum disorder
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Marrus, N, Hall, L P, Paterson, S J, Elison, J T, Wolff, J J, Swanson, M R, Parish-Morris, J, Eggebrecht, A T, Pruett, Jr., J R, Hazlett, H C, Zwaigenbaum, L, Dager, S, Estes, A M, Schultz, R T, Botteron, K N, Piven, J, Constantino, J N, and for the IBIS Network
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- 2018
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16. Pilot randomized controlled trial of a Functional Behavior Skills Training program for young children with Autism Spectrum Disorder who have significant early learning skill impairments and their families
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Reitzel, J., Summers, J., Lorv, B., Szatmari, P., Zwaigenbaum, L., Georgiades, S., and Duku, E.
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- 2013
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17. A Girl with Pervasive Developmental Disorder and Complex Chromosome Rearrangement Involving 8p and 10p
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Zwaigenbaum, L, Sonnenberg, L. K., Heshka, T., Eastwood, S., and Xu, J.
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We report a 4-year-old girl with a "de novo", apparently balanced complex chromosome rearrangement. She initially presented for assessment of velopharyngeal insufficiency due to hypernasal speech. She has distinctive facial features (long face, broad nasal bridge, and protuberant ears with simplified helices), bifid uvula, strabismus, and joint laxity. She is developmentally delayed, with language and cognitive skills approximately 2 SD below the mean expected for her age, and meets ADI, ADOS, and DSM-IV criteria for pervasive developmental disorder. She has poor eye contact, atypical communication and social interaction, repetitive behaviors and significant difficulties with processing sensory input. Her karyotype is characterized by the presence of two derivative chromosomes; 46,XX, der(8)(10pter-greater than 10p12.32::8p12-greater than 8qter), der(10)(8pter-greater than 8p21.3::10p12.32-greater than 10p11.23::8 p21.3-greater than 8p12::10p11.23-greater than 10qter). The der(8) is a result of translocation of the segment 10p12.32-pter onto 8p12. The der(10) has two 8p segments collectively from 8p12-pter in that the segment 8p21.3-pter is translocated onto 10p12.32 and the segment 8p12-p21.3 is inserted at 10p11.23. FISH analysis showed no microdeletion of the major locus at 22q11.2 nor for the minor locus at 10p13p14. This case suggests that aberrations at 8p12, 8p21.3, 10p11.23 and/or 10p12.32 may result in pervasive developmental disorder, associated with mild cognitive delay and specific facial anomalies.
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- 2005
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18. High Functioning Autism and Childhood Disintegrative Disorder in Half Brothers.
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Zwaigenbaum, L., Szatmari, P., Mahoney, W., Bryson, S., Bartolucci, G., and MacLean, J.
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This case report describes the presence of autism and Childhood Disintegrative Disorder (CDD) cosegregating within a sibship of half-brothers with the same mother. The report suggests that the rarity of the two conditions suggests a shared transmissible mechanism. (Contains references.) (Author/DB)
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- 2000
19. Early brain development in infants at high risk for autism spectrum disorder
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Hazlett, Heather Cody, Gu, Hongbin, Munsell, Brent C., Kim, Sun Hyung, Styner, Martin, Wolff, Jason J., Elison, Jed T., Swanson, Meghan R., Zhu, Hongtu, Botteron, Kelly N., Collins, Louis D., Constantino, John N., Dager, Stephen R., Estes, Annette M., Evans, Alan C., Fonov, Vladimir S., Gerig, Guido, Kostopoulos, Penelope, McKinstry, Robert C., Pandey, Juhi, Paterson, Sarah, Pruett, John R., Schultz, Robert T., Shaw, Dennis W., Zwaigenbaum, Lonnie, Piven, Joseph, Piven, J., Hazlett, H. C., Chappell, C., Dager, S. R., Estes, A. M., Shaw, D. W., Botteron, K. N., McKinstry, R. C., Constantino, J. N., Pruett, J. R., Jr, Schultz, R. T., Paterson, S., Zwaigenbaum, L., Elison, J. T., Wolff, J. J., Evans, A. C., Collins, D. L., Pike, G. B., Fonov, V. S., Kostopoulos, P., Das, S., Gerig, G., Styner, M., and Gu, Core H.
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- 2017
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20. The impact of autism services on mothersʼ psychological wellbeing
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Hodgetts, S., McConnell, D., Zwaigenbaum, L., and Nicholas, D.
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- 2017
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21. Genetics of Autism: Overview and New Directions.
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Szatmari, P., Jones, M. B., and Zwaigenbaum, L.
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This paper reviews current knowledge of the genetic epidemiology of autism and other pervasive developmental disorders (PDDs). It notes widespread agreement that the PDDs are caused, at least in part, by genetic factors and some agreement on the phenotypic boundaries associated with these same genetic factors. Remaining research issues are identified. (DB)
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- 1998
22. “N of 1” Trials of Methylphenidate in Two Children with Williams Syndrome and Attention Deficit Hyperactivity Disorder
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Zwaigenbaum, L., Dick, P., Handley-Derry, M., Malone, M., and Jacobson, S.
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- 2006
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23. Parent views of the positive contributions of elementary and high school-aged children with autism spectrum disorders and Down syndrome
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King, G., Zwaigenbaum, L., Bates, A., Baxter, D., and Rosenbaum, P.
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- 2012
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24. A qualitative investigation of changes in the belief systems of families of children with autism or Down syndrome
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King, G. A., Zwaigenbaum, L., King, S., Baxter, D., Rosenbaum, P., and Bates, A.
- Published
- 2006
25. A Girl with Pervasive Developmental Disorder and Complex Chromosome Rearrangement Involving 8p and l0p
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Zwaigenbaum, L., Sonnenberg, L. K., Heshka, T., Eastwood, S., and Xu, J.
- Published
- 2005
26. Non-verbal IQ and change in restricted and repetitive behavior throughout childhood in autism: a longitudinal study using the Autism Diagnostic Interview-Revised.
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Courchesne, V., Bedford, R., Pickles, A., Duku, E., Kerns, C., Mirenda, P., Bennett, T., Georgiades, S., Smith, I. M., Ungar, W. J., Vaillancourt, T., Zaidman-Zait, A., Zwaigenbaum, L., Szatmari, P., and Elsabbagh, M.
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AUTISM in children ,WECHSLER Intelligence Scale for Children ,AUTISM spectrum disorders ,WECHSLER Adult Intelligence Scale ,AUTISTIC children ,INTELLIGENCE tests ,IMPLICIT attitudes - Abstract
Background: Restricted and repetitive behavior (RRB) is one of the characteristic features of Autism Spectrum Disorder. This domain of symptoms includes a broad range of behaviors. There is a need to study each behavior individually to better understand the role of each in the development of autistic children. Moreover, there are currently no longitudinal studies investigating change in these behaviors over development. Methods: The goal of the present study was to explore the association between age and non-verbal IQ (NVIQ) on 15 RRB symptoms included in the Autism Diagnostic Interview-Revised (ADI-R) over time. A total of 205 children with ASD were assessed using the ADI-R at time of diagnosis, at age 6 years, and at age 11 years, and with the Wechsler Intelligence Scales for Children—Fourth Edition (WISC-IV) at age 8 years. Results: The proportion of children showing each RRB tended to diminish with increasing age, except for sensitivity to noise and circumscribed interests, where the proportion increased over time. Although there was no significant main effect of NVIQ, there was a significant interaction between age and NVIQ. This was mainly driven by Difficulties with change in routine, for which higher NVIQ was associated with the behavior remaining relatively stable with age, while lower NVIQ was associated with the behavior becoming more prevalent with age. Limitations: The study focused on the presence/absence of each RRB but did not account for potential changes in frequency or severity of the behaviors over development. Furthermore, some limitations are inherent to the measures used. The ADI-R relies on parent report and hence has some level of subjectivity, while the Wechsler intelligence scales can underestimate the intellectual abilities of some autistic children. Conclusions: These results confirm that specific RRB are differentially linked to age and NVIQ. Studying RRB individually is a promising approach to better understanding how RRB change over the development of autistic children and are linked to other developmental domains. [ABSTRACT FROM AUTHOR]
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- 2021
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27. Service utilization in a sample of preschool children with autism spectrum disorder: A Canadian snapshot.
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Volden, J., Duku, E., Shepherd, C., Ceorgiades, S., Bennett, T., Rezze, B. Di, Szatmari, P., Bryson, S., Fombonne, E., Mirenda, P., Roberts, W., Smith, IM, Vaillancourt, T., Waddell, C., Zwaigenbaum, L., and Elsabbagh, M.
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TREATMENT of autism ,CHILD health services ,AUTISM in children ,BEHAVIOR therapy ,PANEL analysis ,POPULATION geography ,SPEECH therapy - Abstract
Copyright of Paediatrics & Child Health (1205-7088) is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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- 2015
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28. Differences in white matter fiber tract development present from 6 to 24 months in infants with autism.
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Wolff JJ, Gu H, Gerig G, Elison JT, Styner M, Gouttard S, Botteron KN, Dager SR, Dawson G, Estes AM, Evans AC, Hazlett HC, Kostopoulos P, McKinstry RC, Paterson SJ, Schultz RT, Zwaigenbaum L, Piven J, IBIS Network, and Wolff, Jason J
- Abstract
Objective: Evidence from prospective studies of high-risk infants suggests that early symptoms of autism usually emerge late in the first or early in the second year of life after a period of relatively typical development. The authors prospectively examined white matter fiber tract organization from 6 to 24 months in high-risk infants who developed autism spectrum disorders (ASDs) by 24 months.Method: The participants were 92 high-risk infant siblings from an ongoing imaging study of autism. All participants had diffusion tensor imaging at 6 months and behavioral assessments at 24 months; a majority contributed additional imaging data at 12 and/or 24 months. At 24 months, 28 infants met criteria for ASDs and 64 infants did not. Microstructural properties of white matter fiber tracts reported to be associated with ASDs or related behaviors were characterized by fractional anisotropy and radial and axial diffusivity.Results: The fractional anisotropy trajectories for 12 of 15 fiber tracts differed significantly between the infants who developed ASDs and those who did not. Development for most fiber tracts in the infants with ASDs was characterized by higher fractional anisotropy values at 6 months followed by slower change over time relative to infants without ASDs. Thus, by 24 months of age, those with ASDs had lower values.Conclusions: These results suggest that aberrant development of white matter pathways may precede the manifestation of autistic symptoms in the first year of life. Longitudinal data are critical to characterizing the dynamic age-related brain and behavior changes underlying this neurodevelopmental disorder. [ABSTRACT FROM AUTHOR]- Published
- 2012
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29. Advances in the early detection of autism.
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Zwaigenbaum L
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- 2010
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30. Clinical assessment of autism in high-risk 18-month- olds.
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Brian J, Bryson SE, Garon N, Roberts W, Smith IM, Szatmari P, and Zwaigenbaum L
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Earlier intervention improves outcomes for children with autism spectrum disorders (ASDs), but existing identification tools are at the limits of standardization with 18-month-olds. We assessed potential behavioural markers of ASD at 18 months in a high-risk cohort of infant siblings of children with ASD. Prospective data were collected using the Autism Diagnostic Observation Schedule (ADOS) and Autism Observation Scale for Infants (AOSI) on 155 infant siblings and 73 low-risk controls at 18 months. Infants were classified into three groups (ASD sibs, non-ASD sibs, controls) based on blind best-estimate diagnosis at age 3. Fisher's exact tests, followed by discriminant function analyses, revealed that the majority of informative ADOS items came from the social and behavioural domains, and AOSI items measuring behavioural reactivity and motor control contributed additional information. Findings highlight the importance of considering not only social-communication deficits, but also basic dimensions of temperament including state regulation and motor control when assessing toddlers with suspected ASD. [ABSTRACT FROM AUTHOR]
- Published
- 2008
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31. Brief report: data on the Stanford-Binet Intelligence Scales (5th ed.) in children with autism spectrum disorder.
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Coolican J, Bryson SE, and Zwaigenbaum L
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The Fifth Edition of the Stanford-Binet Intelligence Scales (SB5; Roid, G. H. (2003). Stanford Binet intelligence scales (5th ed.). Itasca, IL: Riverside Publishing) is relatively new, with minimal published research on general populations and none with special populations. The present study provides information on the cognitive profiles of children with ASD (N = 63) and on the whether the abbreviated battery is representative of the full scale. A high percentage of the children had significantly stronger nonverbal (vs. verbal) skills. This pattern was not related to Full Scale IQ, age or diagnostic subgroup. IQs derived from the abbreviated battery accounted for a large proportion of the variance in FSIQ relative to comparable abbreviated batteries. However, caution is warranted when using the abbreviated battery, as it misrepresents actual ability in a small percentage of cases. [ABSTRACT FROM AUTHOR]
- Published
- 2008
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32. Conducting genetic epidemiology studies of autism spectrum disorders: issues in matching.
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Szatmari P, Zwaigenbaum L, and Bryson S
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The objective of this review is to clarify the role of matching in family genetic studies of autism as a way of defining endophenotypes for linkage analysis. The concept of a confounding variable is reviewed and the importance of considering these in family studies of three endophenotypes in autism are considered: cognitive/language impairments, psychiatric disorders, and autistic-like traits. The importance of matching in infant sibling studies of autism is also addressed. Matching as a way of dealing with confounding variables has an important impact on understanding the extent to which these phenotypes are associated with the genes that confer susceptibility to autism and to the early detection of the disorder. Matching continues to be an important issue in the planning and conduct of family-genetic studies of the autism spectrum disorders, particularly as the search for autism susceptibility genes enters the next generation of studies. [ABSTRACT FROM AUTHOR]
- Published
- 2004
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33. Two children with muscular dystrophies ascertained due to referral for diagnosis of autism.
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Zwaigenbaum L and Tarnopolsky M
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We report two children who were referred for diagnostic assessment for autism and were subsequently determined to have a muscular dystrophy (MD). Each child had a history of speech delay and social impairments, but also had motor delays that had not previously been investigated. Both children met diagnostic criteria for autism spectrum disorders on standardized assessment. Each child was hypotonic and had other mild motor impairments. Serum creatine kinase (CK) activity was markedly elevated in each child, and subsequent muscle biopsy led to diagnosis of Becker's MD and congenital (autosomal recessive) MD, respectively. These cases highlight the importance of a thorough neuromotor examination for all children with suspected autism spectrum disorders. [ABSTRACT FROM AUTHOR]
- Published
- 2003
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34. Stability and change among high-functioning children with pervasive developmental disorders: a 2-year outcome study.
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Starr E, Szatmari P, Bryson S, and Zwaigenbaum L
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This study prospectively compared the 2-year outcome of children diagnosed with autism or Asperger syndrome at age 6-8 years in terms of symptoms from the Autism Diagnostic Interview. Significant differences were seen in the three-domain summary scores of social interaction, communication, and repetitive activities, with the Asperger syndrome group demonstrating fewer and/or less severe symptoms at both times. There was a trend for the trajectories to come together over time on the socialization and communication domains, but not the repetitive activities domain. Differences were not attributable to IQ. Analysis of individual items indicated that the autism group improved over time on seven items and showed increased symptom severity on three items. On the other hand, the Asperger syndrome group improved on only two items and showed increased symptom severity on six items. Results suggest that the two PDD subtypes represent similar developmental trajectories, although the Asperger syndrome group maintains its advantage. Educational and clinical implications of the results are discussed. [ABSTRACT FROM AUTHOR]
- Published
- 2003
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35. Decreased Obstetric Optimality in Autism Is a Function of Genetic Liability to the Broader Autism Phenotype,.
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Zwaigenbaum, L., Szatmari, P., Jones, M. B., Bryson, S. E., MacLean, J. E., Mahoney, W., Bartolucci, G., Tuff, L., and Tsafnat, T.
- Published
- 1999
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36. Maternal depression appears to influence reporting of offspring autism symptoms.
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Bennett, T., Szatmari, P., Georgiades, S., Thompson, A., Duku, E., Bryson, S., Fombonne, E., Mirenda, P., Roberts, W., Smith, I., Vaillancourt, T., Volden, J., Waddell, C., and Zwaigenbaum, L.
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- 2010
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37. Chorioamnionitis, gestational age, male sex, birth weight, and illness severity predicted positive autism screening scores in very-low-birth-weight preterm infants.
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Pinelli J and Zwaigenbaum L
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QUESTIONWhat are the prevalence and risk factors of early autistic features in young children who had very low birth weights?METHODSDesign: inception cohort of preterm infants followed up to 18-24 months of age adjusted for prematurity.Setting: {a hospital in Boston, Massachusetts, USA}.*Patients: consecutive series of 103 preterm infants with birth weights <1500 g (median gestational age 26 wks, 60% boys, median birth weight 890 g). Exclusion criteria were known or suspected cerebral dysgenesis, dysmorphic syndromes, or chromosomal disorders. 8 infants died, and 4 were lost to follow-up.Prognostic factors: maternal age and temperature, acute intrapartum or antepartum haemorrhage, preterm labour, placental infection, gestational age at birth, birth weight, sex, admission Score of Neonatal Acute Physiology II (SNAP-II), duration of oxygen requirement, and abnormal magnetic resonance imaging studies.Outcomes: included positive screening for early autistic features (failure on >/= 2 critical items or any 3 items on 23-item Modified Checklist for Autism in Toddlers [M-CHAT] ), externalising and internalising behaviour problems (T scores >/= 60 on Child Behavior Checklist), and functional delays (<2 standard deviations of normative mean on Vineland Adaptive Behavior Scale).MAIN RESULTSAt a mean corrected age of 22 months, 25% of 91 children had a positive screen for early autistic features, 29% had problems with internalising behaviours and 13% with externalising behaviours, and 19-9% had functional difficulties. Multivariate analysis identified predictors of early autistic features (table).CONCLUSIONS25% of preterm infants with very low birth weights had positive autism screening scores at a mean corrected age of 22 months. Male sex, chorioamnionitis, gestational age, lower birth weight, and illness severity predicted positive autism screening scores.*Information provided by author. [ABSTRACT FROM AUTHOR]
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- 2008
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38. The Screening Tool for Autism in Two Year Olds can identify children at risk of autism.
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Zwaigenbaum L
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How accurate is the Screening Tool for Autism in Two Year Olds (STAT) for identifying children at risk of autism?METHODSDesign: Diagnostic cohort study.Setting: University based diagnostic evaluation centre and affiliated speech and hearing centre, Tennessee, USA; 1997 to 2001.Patients: Initial validation of the STAT was carried out in 13 matched pairs of children aged 24--35 months, with a diagnosis of autism or alternatively developmental delay, language impairment, or both (DD/LI), and without severe sensory or motor impairment. Further validation was carried out in a sample of 104 children selected on the basis of parental report of developmental concerns.Test: The STAT consists of 12 interactive items assessing different behavioural domains, including play, requesting, directing attention, and motor imitation. The test was administered by trained examiners who were blinded to the children's diagnoses. Overall score ranges from 0 to 4, with lower scores indicating less impairment. The threshold for classification of being at 'high risk' of autism was a score of 2 or above, based on initial calibration in 26 children with autism or DD/LI.Diagnostic standard: DSM-IV or DSM-IV-TR criteria were used to diagnose autism. In the second validation sample the AutismDiagnostic Observation Schedule-Generic (ADDS-G) was also used. Diagnostic evaluation was carried out by a multidisciplinary team including a psychologist and a speech/language pathologist, who were blind to the STAT result in the initial study but not in the second study.Outcomes: Sensitivity and specificity, positive and negative predictive value, false positive and Use negative rate.MAIN RESULTSIn the initial validation sample consisting of children with autism or DD/LI, the STAT yielded a sensitivity of 0.92, a specificity of 0.85, a positive predictive value of 0.86, and a negative predictive value of 0.92 compared with DSM-IV diagnoses. In the second, larger validation sample, the STAT performed well at distinguishing between the ADOS-G classifications of autism and non-autistic spectrum. However, it was less accurate at distinguishing autism from pervasive developmental disorder not otherwise specified (see http://www.ebmentalhealth.com/supplemental for table).CONCLUSIONSAlthough the STAT has a high sensitivity and specificity in populations of children with autism or non-autistic spectrum disorders, it is less accurate at distinguishing children with autism from those with pervasive developmental disorder not otherwise specified.NOTESThe STAT is intended to be used in a population of children already identified as having developmental problems. It was therefore calibrated in this study in a select population consisting only of children with autism or developmental delay/language impairment. The test's value is limited by its apparent lack of specificity in a more mixed population. However, if it is used as a screening test, rather than for definitive diagnoses, this may not be a serious flaw. The test's performance in the second sample may have been falsely enhanced because the result was known to those making the clinical diagnoses. [ABSTRACT FROM AUTHOR]
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- 2005
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39. Review: strong evidence recommends genetic and metabolic testing in subgroups of children with autism.
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Zwaigenbaum L
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QUESTION: What evidence supports practice parameters for the surveillance, screening, and diagnosis of children with autism?Data sourcesA panel of experts in autism was convened Studies in all languages were identified by searching Medline and PsycINFO using the terms autistic, autism, and pervasive; books recommended by members of the panel were also reviewed.Study selectionStudies were selected if they were published since 1990, were review papers or meta-analyses developed for DSM/IV, or were included in the overview of the National Institutes of Health State of the Science Conference on Autism in 1995.Data extractionStudies were assessed for the strength of their evidence: Class I: prospective studies with a description of the study population, inclusion and exclusion criteria specified, adequate sample size; interpretations of evaluations done blinded to outcome; and a satisfactory description of the technology used for the evaluations. Class II: retrospective studies which otherwise met the criteria for class I but (lid not require blinding. Class III: small cohort or case report studies; or relevant expert opinion, consensus, or survey papers. Recommendations were stratified based on the strength of evidence and called 'standards' (high degree of clinical certainty based on Class I studies or overwhelming Class II evidence), 'guidelines' (moderate clinical certainty based on >/= 1 Class II study or a strong consensus of Class III evidence), or 'practice options' (uncertain clinical utility based on inconclusive evidence or opinion).Main results2750 studies met the inclusion criteria. 7 practice recommendations were made for routine developmental surveillance and screening of autism with the strength of evidence of a guideline: developmental surveillance should be done at all well child visits from infancy to school age; recommended screening tools include the Ages and Stages Questionnaire, the BRIGANCE Screens, the Child Development Inventories, and the Parents' Evaluations of Developmental Status; because of lack of sensitivity and specificity, the Denver-II and Revised Denver Pre-Screening Developmental Questionnaire are not recommended; more intensive evaluation is required if children fail to meet developmental milestones; siblings of children with autism should be carefully monitored; screening specifically for autism should be done on all children who fail routine developmental surveillance procedures; audiological assessments and lead screening are recommended for children with developmental delay or autism.6 practice recommendations were made for diagnosis and evaluation; 2 had the strength of evidence of a standard: genetic testing in children with autism should be done in the presence of dysmorphic features or mental retardation, or a family history of Fragile X syndrome or undiagnosed mental retardation; metabolic testing should be done in the presence of such findings as lethargy, cyclic vomiting, early seizures, dysmorphic features, evidence of mental retardation, or questionable adequacy of newborn screening.Conclusions7 practice recommendations for routine developmental surveillance and screening of autism are based on fair evidence. 2 practice recommendations for genetic and metabolic testing in subgroups of children with autism are based on strong evidence. [ABSTRACT FROM AUTHOR]
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- 2001
40. Case report: high functioning autism and childhood disintegrative disorder in half brothers.
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Zwaigenbaum L, Szatmari P, Mahoney W, Bryson S, Bartolucci G, and Maclean J
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Childhood Disintegrative Disorder (CDD) is grouped with autism as a subtype of Pervasive Developmental Disorder (PDD) in ICD-10 and DSM-IV. This is the first report of autism and CDD cosegregating within a sibship. J. P. and M. P. are half-brothers with the same mother. J. P. is an 18-year-old with impairments in communication, social reciprocity, and stereotypies and was diagnosed with autism. M. P. is a 7-year-old who developed normally to 2 years 4 months. He then underwent a profound regression, becoming nonverbal and socially withdrawn, and lost adaptive skills. Investigations did not reveal any neurodegenerative process. M. P. was diagnosed with CDD. The rarity of the two conditions suggests a shared transmissible mechanism. The implications for autism/PDD genetic studies are discussed. [ABSTRACT FROM AUTHOR]
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- 2000
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41. Convergence of Genes and Cellular Pathways Dysregulated in Autism Spectrum Disorders
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Joana Almeida, Christian R. Marshall, Hakon Hakonarson, Bárbara Oliveira, Anthony J. Griswold, Jacob A. S. Vorstman, Bhooma Thiruvahindrapuram, Suma Jacob, Judith Conroy, Alistair T. Pagnamenta, Christelle Cabrol, Jeremy R. Parr, Daniel H. Geschwind, Nancy J. Minshew, Xiao Xu, Richard Anney, Sven Bölte, Zhuozhi Wang, Emily L. Crawford, Elsa Delaby, Margaret A. Pericak-Vance, Joachim Hallmayer, Jonathan L. Haines, Dalila Pinto, Susana Mouga, Alexander Kolevzon, Elena Bacchelli, Frederico Duque, Bernie Devlin, Latha Soorya, Cátia Café, Kirsty Wing, Jennifer K. Lowe, Ana Tryfon, Stephen J. Guter, Geraldine Dawson, Tiago R. Magalhaes, Anthony J. Bailey, Michael Gill, Peter Szatmari, Steven Gallinger, Marion Pilorge, James S. Sutcliffe, Bridget A. Fernandez, Herman van Engeland, Catalina Betancur, Guiomar Oliveira, Andrew Green, Eftichia Duketis, Bernadette Rogé, Ann Le Couteur, Evdokia Anagnostou, Michelle Cotterchio, Daniele Merico, Giovanna Pellecchia, Jonathan Green, Regina Regan, Jillian P. Casey, Guiqing Cai, Gerard D. Schellenberg, Jennifer L. Howe, Elena Maestrini, Andrew D. Paterson, L. Alison McInnes, Patrick Bolton, Edwin H. Cook, Richard Delorme, Lambertus Klei, Thomas Bourgeron, Gillian Baird, Christine M. Freitag, Beth A. Dombroski, Andreas G. Chiocchetti, Sabine M. Klauck, Susan E. Folstein, Mafalda Barbosa, Anthony P. Monaco, Marion Leboyer, Nadia Bolshakova, Fritz Poustka, Richard Holt, Kerstin Wittemeyer, Wendy Roberts, Lonnie Zwaigenbaum, Louise Gallagher, Susan G. McGrew, Joseph D. Buxbaum, Graham Casey, Simon Wallace, Catherine Lord, Sean Brennan, Robert Ziman, Alison K. Merikangas, John I. Nurnberger, Christopher Gillberg, Ellen M. Wijsman, Astrid M. Vicente, Inȇs C. Conceição, Sean Ennis, Patricia Jiménez González, Hilary Coon, Raphael Bernier, John R. Gilbert, Ann P. Thompson, Susanne Thomson, Agatino Battaglia, Maretha de Jonge, Michael L. Cuccaro, Catarina Correia, Veronica J. Vieland, Stephen W. Scherer, Pauline Chaste, Departments of Psychiatry, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai [New York] (MSSM)-Seaver Autism Center-, The Mindich Child Health & Development Institute, Department of Psychiatry, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Seaver Autism Center for Research and Treatment, Friedman Brain Institute, The Mindich Child Health and Development Institute, The Icahn Institute for Genomics and Multiscale Biology, Neurosciences Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, Trinity College Dublin-St. James's Hospital, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Department of Psychiatry and Behavioural Neurosciences, McMaster University [Hamilton, Ontario]-Offord Centre for Child Studies, Academic Centre on Rare Diseases (ACoRD), University College Dublin [Dublin] (UCD), The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford [Oxford], Instituto Nacional de Saùde Dr Ricardo Jorge [Portugal] (INSA), McLaughlin Centre, University of Toronto, BioFIG, Center for Biodiversity, Functional and Integrative Genomics, Department of Neurology, University of California [Los Angeles] (UCLA), University of California-University of California-David Geffen School of Medicine [Los Angeles], University of California-University of California, Fisico-Quimica Biologica, Universidade Federal do Rio de Janeiro (UFRJ), John P. Hussman Institute for Human Genomics, University of Miami [Coral Gables], Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt am Main, Pathology and Laboratory Medicine, University of Pennsylvania [Philadelphia], Department of Pathology, Vanderbilt Brain Institute, Vanderbilt University School of Medicine [Nashville], Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Division of Molecular Genome Analysis, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Familial Gastrointestinal Cancer Registry, Mount Sinai Hospital [Toronto, Canada] (MSH), Prevention & Cancer Control, Cancer Care Ontario, Department of Preventive Medicine, University of Southern California (USC), Department of Pediatrics, University of Alberta, School of Education, University of Birmingham [Birmingham], University of Oxford [Oxford]-Warneford Hospital, Octogone Unité de Recherche Interdisciplinaire (Octogone), Université Toulouse - Jean Jaurès (UT2J), Autism Research Unit, The Hospital for sick children [Toronto] (SickKids)-University of Toronto, Unidade de Neurodesenvolvimento e Autismo (UNDA), Hospital Pediatrico de Coimbra, Institute for Biomedical Imaging and Life Science, University of Coimbra [Portugal] (UC), Vanderbilt University [Nashville], Center for Autism and the Developing Brain (CADB), Weill Medical College of Cornell University [New York], Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-IFR10, Service de psychiatrie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, Institute of Health and Society, Newcastle University [Newcastle], Department of Child and Adolescent Psychiatry, Newcastle University [Newcastle]-Institute of Health & Society (Child & Adolescent Psychiatry), Child Developmental and Behavioral Unit, Hospital Nacional de Niños Dr Sáenz Herrera, Institute for Juvenile Research-University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Manchester Academic Health Sciences Centre, Gillberg Neuropsychiatry Centre [Göteborg, Sueden], Institute of Neuroscience and Physiology [Göteborg]-University of Gothenburg (GU), Institute of Child Health, University College of London [London] (UCL), Memorial University of Newfoundland [St. John's], Disciplines of Genetics and Medicine, Génétique Humaine et Fonctions Cognitives, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Institute of Psychiatry, King‘s College London, Institute of psychiatry, University of Washington [Seattle], Paediatric Neurodisability, King‘s College London-King's Health Partners, MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), King‘s College London-The Institute of Psychiatry, University of British Columbia (UBC), Bloorview Research Institute, Division of Medical Genetics [Seattle], Departments of Biostatistics and Medicine, Battelle Center for Mathematical Medicine, Ohio State University [Columbus] (OSU)-Nationwide Children's Hospital, Institute of Neuroscience [Newcastle] (ION), Institutes of Neuroscience and Health and Society, Indiana University School of Medicine, Indiana University System-Indiana University System, The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Perelman School of Medicine, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia]-Children’s Hospital of Philadelphia (CHOP ), Utah Autism Research Program, University of Utah Psychiatry Department, University of Miami School of Medicine, Department of Developmental Neuroscience, IRCCS Fondazione Stella Maris [Pisa], Department of Psychiatry and Behavioral Sciences [Stanford], Stanford Medicine, Stanford University-Stanford University, Stanford School of Medicine [Stanford], Institute for Juvenile Research, University of Illinois [Chicago] (UIC), Department of Neuroscience, Main funders of the Autism Genome Project: Autism Speaks (USA), the Health Research Board (Ireland, AUT/2006/1, AUT/2006/2, PD/2006/48), the Medical Research Council (UK), the Hilibrand Foundation (USA), Genome Canada, the Ontario Genomics Institute, and the Canadian Institutes of Health Research (CIHR), Autism Genome Project Consortium, Neuroscience Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), University of Oxford, University of California (UC)-University of California (UC)-David Geffen School of Medicine [Los Angeles], University of California (UC)-University of California (UC), University of Pennsylvania, University of Oxford-Warneford Hospital, Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Memorial University of Newfoundland = Université Memorial de Terre-Neuve [St. John's, Canada] (MUN), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania-University of Pennsylvania-Children’s Hospital of Philadelphia (CHOP ), Betancur, Catalina, Instituto Nacional de Saude Dr Ricardo Jorge, Universidade Federal do Rio de Janeiro [Rio de Janeiro] (UFRJ), Laboratoire Analyse et Modélisation pour la Biologie et l'Environnement (LAMBE - UMR 8587), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Università di Bologna [Bologna] (UNIBO), Mount Sinai Hospital (MSH), University of Toronto-The Hospital for Sick Children, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, Gillberg Neuropsychiatry Centre, University of Gothenburg (GU), Stanford University Medical School, Stanford University School of Medicine [Stanford], Stanford University [Stanford], Université de Toulouse (UT)-Université de Toulouse (UT), Pinto D, Delaby E, Merico D, Barbosa M, Merikangas A, Klei L, Thiruvahindrapuram B, Xu X, Ziman R, Wang Z, Vorstman JA, Thompson A, Regan R, Pilorge M, Pellecchia G, Pagnamenta AT, Oliveira B, Marshall CR, Magalhaes TR, Lowe JK, Howe JL, Griswold AJ, Gilbert J, Duketis E, Dombroski BA, De Jonge MV, Cuccaro M, Crawford EL, Correia CT, Conroy J, Conceição IC, Chiocchetti AG, Casey JP, Cai G, Cabrol C, Bolshakova N, Bacchelli E, Anney R, Gallinger S, Cotterchio M, Casey G, Zwaigenbaum L, Wittemeyer K, Wing K, Wallace S, van Engeland H, Tryfon A, Thomson S, Soorya L, Rogé B, Roberts W, Poustka F, Mouga S, Minshew N, McInnes LA, McGrew SG, Lord C, Leboyer M, Le Couteur AS, Kolevzon A, Jiménez González P, Jacob S, Holt R, Guter S, Green J, Green A, Gillberg C, Fernandez BA, Duque F, Delorme R, Dawson G, Chaste P, Café C, Brennan S, Bourgeron T, Bolton PF, Bölte S, Bernier R, Baird G, Bailey AJ, Anagnostou E, Almeida J, Wijsman EM, Vieland VJ, Vicente AM, Schellenberg GD, Pericak-Vance M, Paterson AD, Parr JR, Oliveira G, Nurnberger JI, Monaco AP, Maestrini E, Klauck SM, Hakonarson H, Haines JL, Geschwind DH, Freitag CM, Folstein SE, Ennis S, Coon H, Battaglia A, Szatmari P, Sutcliffe JS, Hallmayer J, Gill M, Cook EH, Buxbaum JD, Devlin B, Gallagher L, Betancur C, and Scherer SW.
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Male ,INTELLECTUAL DISABILITY ,pathways ,Genome-wide association study ,[SDV.GEN] Life Sciences [q-bio]/Genetics ,Bioinformatics ,DUPLICATIONS ,Intellectual disability ,Gene Regulatory Networks ,Genetics(clinical) ,Copy-number variation ,10. No inequality ,Child ,GDI1 ,Genetics (clinical) ,Sequence Deletion ,COPY NUMBER VARIANTS ,Genetics ,gene networks ,Copy Number Variation ,3. Good health ,Pedigree ,Fragile X syndrome ,Multigene Family ,Female ,Metabolic Networks and Pathways ,de novo ,DNA Copy Number Variations ,autism ,Biology ,rare CNV ,PHENOTYPE ONTOLOGY ,Article ,Structural variation ,mental disorders ,medicine ,Humans ,ddc:610 ,FRAGILE-X-SYNDROME ,GENOME-WIDE ASSOCIATION ,Gene ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,HDAC4 ,SETD5 ,medicine.disease ,CHD2 ,inherited ,STRUCTURAL VARIATION ,DELETIONS ,DE-NOVO MUTATIONS ,Child Development Disorders, Pervasive ,Autism - Abstract
International audience; Rare copy-number variation (CNV) is an important source of risk for autism spectrum disorders (ASDs). We analyzed 2,446 ASD-affected families and confirmed an excess of genic deletions and duplications in affected versus control groups (1.41-fold, p = 1.0 × 10(-5)) and an increase in affected subjects carrying exonic pathogenic CNVs overlapping known loci associated with dominant or X-linked ASD and intellectual disability (odds ratio = 12.62, p = 2.7 × 10(-15), ∼3% of ASD subjects). Pathogenic CNVs, often showing variable expressivity, included rare de novo and inherited events at 36 loci, implicating ASD-associated genes (CHD2, HDAC4, and GDI1) previously linked to other neurodevelopmental disorders, as well as other genes such as SETD5, MIR137, and HDAC9. Consistent with hypothesized gender-specific modulators, females with ASD were more likely to have highly penetrant CNVs (p = 0.017) and were also overrepresented among subjects with fragile X syndrome protein targets (p = 0.02). Genes affected by de novo CNVs and/or loss-of-function single-nucleotide variants converged on networks related to neuronal signaling and development, synapse function, and chromatin regulation.
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- 2014
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42. A novel approach of homozygous haplotype sharing identifies candidate genes in autism spectrum disorder
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Veronica J. Vieland, Stephen W. Scherer, Alison K. Merikangas, Naisha Shah, Edwin H. Cook, William M. McMahon, Kirsty Wing, Sabata C. Lund, Jacob A. S. Vorstman, Judith Conroy, Sabine M. Klauck, John B. Vincent, Astrid M. Vicente, Carine Mantoulan, Barbara Parrini, Jeremy R. Parr, Herman van Engeland, Jane McGrath, Guiomar Oliveira, Jonathan Green, James S. Sutcliffe, Peter Szatmari, Ann Le Couteur, Katerina Papanikolaou, Joseph Piven, Andrew Pickles, Gillian Baird, Inês Sousa, Gerard D. Schellenberg, Catarina Correia, Bennett L. Leventhal, Helen McConachie, Joseph T. Glessner, Fritz Poustka, Alistair T. Pagnamenta, Marion Leboyer, Nuala Sykes, Elena Maestrini, Penny Farrar, Maïté Tauber, Suzanne Foley, Richard Holt, Lonnie Zwaigenbaum, David J. Posey, John Tsiantis, Alexander Kolevzon, Agatino Battaglia, Maretha de Jonge, Hilary Coon, Gillian Hughes, John R. Gilbert, Patrick Bolton, Louise Gallagher, Jeff Munson, Kathy White, Michael L. Cuccaro, Annemarie Poustka, Daniel H. Geschwind, Richard Delorme, Annette Estes, Christine M. Freitag, Jillian P. Casey, Joana Almeida, Dalila Pinto, Simon Wallace, Sean Brennan, Stephen J. Guter, Stanley F. Nelson, Michael Rutter, Ghazala Mirza, Anthony J. Bailey, Christina Corsello, Kerstin Wittemeyer, Christian R. Marshall, Janine A. Lamb, Catherine Lord, Hakon Hakonarson, Jiannis Ragoussis, Catalina Betancur, Geraldine Dawson, Eftichia Duketis, Sean Ennis, Fiorella Minopoli, Christopher Gillberg, Vera Stoppioni, Bridget A. Fernandez, Frederico Duque, Eric Fombonne, Ellen M. Wijsman, Bernadette Rogé, Vanessa Hus, Susan E. Folstein, Jonathan L. Haines, Denis C. Shields, Tiago R. Magalhaes, Andrew Green, Thomas Bourgeron, Brian L. Yaspan, Ann P. Thompson, Gudrun Nygren, Judith Miller, Susanne Thomson, Roberta Igliozzi, Ana Filipa Sequeira, Kai Wang, Brett S. Abrahams, John I. Nurnberger, Michael Gill, Thomas H. Wassink, Christopher J. McDougle, Marc N. Coutanche, Anthony P. Monaco, Nadia Bolshakova, Cecilia Kim, Raffaella Tancredi, Rita M. Cantor, Phil Cali, Fred R. Volkmar, Tom Berney, Margaret A. Pericak-Vance, Joachim Hallmayer, Joseph D. Buxbaum, Elena Bacchelli, Latha Soorya, Richard Anney, Regina Regan, University of Bologna, Open University of Israël, IRCCS Fondazione Stella Maris [Pisa], Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris], AP-HP Hôpital universitaire Robert-Debré [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Goethe-University Frankfurt am Main, Memorial University of Newfoundland [St. John's], McGill University = Université McGill [Montréal, Canada], Johns Hopkins University (JHU), Autism Research Centre and Section of Developmental Psychiatry, University of Cambridge [UK] (CAM), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Psychiatrie génétique, Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Mondor de Recherche Biomédicale, The Hospital for sick children [Toronto] (SickKids), University of Toronto, Australian Resources Research Centre, Kensington, Sécurité et Qualité des Produits d'Origine Végétale (SQPOV), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hôpital des Enfants, CHU Toulouse [Toulouse], School of Chemistry, Dalhousie University [Halifax], DLR Institut für Planetenforschung, Deutsches Zentrum für Luft- und Raumfahrt [Berlin] (DLR), Department of Human Genetics, University of Chicago, University of Alberta, Génétique de l'autisme = Genetics of Autism (NPS-01), Neurosciences Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Institut Charles Gerhardt Montpellier - Institut de Chimie Moléculaire et des Matériaux de Montpellier (ICGM ICMMM), Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Université Montpellier 2 - Sciences et Techniques (UM2)-Institut de Chimie du CNRS (INC), University of Koblenz-Landau, McMaster University [Hamilton, Ontario], The authors acknowledge the families participating in the study and the main funders of the Autism Genome Project Consortium (AGP): Autism Speaks (USA), the Health Research Board (HRB, Ireland), The Medical Research Council (MRC, UK), Genome Canada/Ontario Genomics Institute, and the Hilibrand Foundation (USA). Additional support for individual groups was provided by the US National Institutes of Health (NIH grants HD055751, HD055782, HD055784, HD35465, MH52708, MH55284, MH57881, MH061009, MH06359, MH066673, MH080647, MH081754, MH66766, NS026630, NS042165, NS049261), the Canadian Institute for Advanced Research (CIFAR), the Canadian Institutes for Health Research (CIHR), Assistance Publique–Hôpitaux de Paris (France), Autistica, Canada Foundation for Innovation/Ontario Innovation Trust, Deutsche Forschungsgemeinschaft (grant Po 255/17-4) (Germany), EC Sixth FP AUTISM MOLGEN, Fundação Calouste Gulbenkian (Portugal), Fondation de France, Fondation FondaMental (France), Fondation Orange (France), Fondation pour la Recherche Médicale (France), Fundação para a Ciência e Tecnologia (Portugal), the Hospital for Sick Children Foundation and University of Toronto (Canada), INSERM (France), Institut Pasteur (France), the Italian Ministry of Health (convention 181 of 19.10.2001), the John P. Hussman Foundation (USA), McLaughlin Centre (Canada), Ontario Ministry of Research and Innovation (Canada), the Seaver Foundation (USA), the Swedish Science Council, The Centre for Applied Genomics (Canada), the Utah Autism Foundation (USA) and the Wellcome Trust core award 075491/Z/04 (UK). We acknowledge support from the Autism Genetic Resource Exchange (AGRE) and Autism Speaks. We gratefully acknowledge the resources provided by the AGRE consortium and the participating AGRE families. AGRE is a program of Autism Speaks and is supported, in part, by grant 1U24MH081810 from the National Institute of Mental Health to Clara M. Lajonchere (PI). We wish to acknowledge the National Children’s Research Centre Our Lady’s Children’s Hospital Crumlin Ireland for providing additional support and the Wellcome Trust Case–Control Consortium for providing data sets that were used as part of this study. J.P.C is supported by an EMBARK postgraduate award from the Irish Research Council for Science, Engineering and Technology (IRCSET)., The AGRE Consortium, Casey JP, Magalhaes T, Conroy JM, Regan R, Shah N, Anney R, Shields DC, Abrahams BS, Almeida J, Bacchelli E, Bailey AJ, Baird G, Battaglia A, Berney T, Bolshakova N, Bolton PF, Bourgeron T, Brennan S, Cali P, Correia C, Corsello C, Coutanche M, Dawson G, de Jonge M, Delorme R, Duketis E, Duque F, Estes A, Farrar P, Fernandez BA, Folstein SE, Foley S, Fombonne E, Freitag CM, Gilbert J, Gillberg C, Glessner JT, Green J, Guter SJ, Hakonarson H, Holt R, Hughes G, Hus V, Igliozzi R, Kim C, Klauck SM, Kolevzon A, Lamb JA, Leboyer M, Le Couteur A, Leventhal BL, Lord C, Lund SC, Maestrini E, Mantoulan C, Marshall CR, McConachie H, McDougle CJ, McGrath J, McMahon WM, Merikangas A, Miller J, Minopoli F, Mirza GK, Munson J, Nelson SF, Nygren G, Oliveira G, Pagnamenta AT, Papanikolaou K, Parr JR, Parrini B, Pickles A, Pinto D, Piven J, Posey DJ, Poustka A, Poustka F, Ragoussis J, Roge B, Rutter ML, Sequeira AF, Soorya L, Sousa I, Sykes N, Stoppioni V, Tancredi R, Tauber M, Thompson AP, Thomson S, Tsiantis J, Van Engeland H, Vincent JB, Volkmar F, Vorstman JA, Wallace S, Wang K, Wassink TH, White K, Wing K, Wittemeyer K, Yaspan BL, Zwaigenbaum L, Betancur C, Buxbaum JD, Cantor RM, Cook EH, Coon H, Cuccaro ML, Geschwind DH, Haines JL, Hallmayer J, Monaco AP, Nurnberger JI Jr, Pericak-Vance MA, Schellenberg GD, Scherer SW, Sutcliffe JS, Szatmari P, Vieland VJ, Wijsman EM, Green A, Gill M, Gallagher L, Vicente A, Ennis S., McGill University, Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), Neuroscience Paris Seine (NPS), Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Université Montpellier 1 (UM1)-Université Montpellier 2 - Sciences et Techniques (UM2)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), University of Bologna/Università di Bologna, Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris] (IP), Memorial University of Newfoundland = Université Memorial de Terre-Neuve [St. John's, Canada] (MUN), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Montpellier 1 (UM1)-Université Montpellier 2 - Sciences et Techniques (UM2)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), and Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
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Male ,Candidate gene ,Genome-wide association study ,Linkage Disequilibrium ,MESH: Child Development Disorders, Pervasive ,Cohort Studies ,MESH: Genotype ,0302 clinical medicine ,MESH: Child ,Cluster Analysis ,Genetics(clinical) ,Copy-number variation ,Child ,MESH: Cohort Studies ,Genetics (clinical) ,Original Investigation ,SNPS ,Genetics ,0303 health sciences ,education.field_of_study ,MESH: Middle Aged ,MESH: Nuclear Family ,MESH: Polymorphism, Single Nucleotide ,Homozygote ,MESH: Genetic Predisposition to Disease ,Middle Aged ,Autism spectrum disorder (ASD) ,3. Good health ,MESH: Linkage Disequilibrium ,Female ,MESH: DNA Copy Number Variations ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,MESH: Homozygote ,Adult ,DNA Copy Number Variations ,Genotype ,Population ,Single-nucleotide polymorphism ,Biology ,Polymorphism, Single Nucleotide ,Nuclear Family ,03 medical and health sciences ,HOMOZYGOSITY MAPPING ,mental disorders ,medicine ,Humans ,Genetic Predisposition to Disease ,ddc:610 ,AUTISM ,GENOME-WIDE ASSOCIATION ,education ,030304 developmental biology ,MESH: Humans ,Genetic heterogeneity ,Haplotype ,MESH: Adult ,MESH: Haplotypes ,medicine.disease ,MESH: Cluster Analysis ,MESH: Male ,Haplotypes ,Child Development Disorders, Pervasive ,Perturbações do Desenvolvimento Infantil e Saúde Mental ,MESH: Genome-Wide Association Study ,Autism ,MESH: Female ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
Autism spectrum disorder (ASD) is a highly heritable disorder of complex and heterogeneous aetiology. It is primarily characterized by altered cognitive ability including impaired language and communication skills and fundamental deficits in social reciprocity. Despite some notable successes in neuropsychiatric genetics, overall, the high heritability of ASD (~90%) remains poorly explained by common genetic risk variants. However, recent studies suggest that rare genomic variation, in particular copy number variation, may account for a significant proportion of the genetic basis of ASD. We present a large scale analysis to identify candidate genes which may contain low-frequency recessive variation contributing to ASD while taking into account the potential contribution of population differences to the genetic heterogeneity of ASD. Our strategy, homozygous haplotype (HH) mapping, aims to detect homozygous segments of identical haplotype structure that are shared at a higher frequency amongst ASD patients compared to parental controls. The analysis was performed on 1,402 Autism Genome Project trios genotyped for 1 million single nucleotide polymorphisms (SNPs). We identified 25 known and 1,218 novel ASD candidate genes in the discovery analysis including CADM2, ABHD14A, CHRFAM7A, GRIK2, GRM3, EPHA3, FGF10, KCND2, PDZK1, IMMP2L and FOXP2. Furthermore, 10 of the previously reported ASD genes and 300 of the novel candidates identified in the discovery analysis were replicated in an independent sample of 1,182 trios. Our results demonstrate that regions of HH are significantly enriched for previously reported ASD candidate genes and the observed association is independent of gene size (odds ratio 2.10). Our findings highlight the applicability of HH mapping in complex disorders such as ASD and offer an alternative approach to the analysis of genome-wide association data. Electronic supplementary material The online version of this article (doi:10.1007/s00439-011-1094-6) contains supplementary material, which is available to authorized users.
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