Gene–environment interactions and attention deficit hyperactivity disorder: study of small for gestational age (SGA) children.
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| Title: | Gene–environment interactions and attention deficit hyperactivity disorder: study of small for gestational age (SGA) children. |
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| Authors: | Cornforth, C. M. (AUTHOR), Turic, D. (AUTHOR), Thompson, J. M. D. (AUTHOR), Morgan, A. R. (AUTHOR), Waldie, K. E. (AUTHOR), Ferguson, L. (AUTHOR), Sonuga-Barke, E. J. S. (AUTHOR), Mitchell, E. A. (AUTHOR) |
| Source: | European Child & Adolescent Psychiatry. Jun2010, Vol. 19, pS43-S43. 1/3p. |
| Abstract: | Introduction: SGA is a marker of prenatal adversity and has been associated with disorders such as ADHD. It has been established that ADHD is caused by genetic and environmental factors such as smoking and alcohol consumption during pregnancy. Aim: To explore gene–environment interactions on ADHD symptoms in a large sample of SGA children. Methods: The study is based on data collected by the Auckland Birthweight Collaborative study. All study children were born at full term with half of the sample being SGA: the remainder were appropriate for gestational age (AGA). Extensive data were collected at birth, 1, 3.5, 7 and 11 years. ADHD symptoms were measured using the Conners Rating Scale and the Strengths and Difficulties Questionnaire. Results: The results of this study include the independent and combined effects of prenatal environmental adversity and genetic risk (including the investigation of SNPs for DRD4, DAT1, COMT and MAO) on ADHD phenotypes. Discussion: The findings presented suggest that genetic factors moderate the effects of SGA and that this moderating effect is further impacted by other environmental risk factors such as maternal stress and maternal smoking during pregnancy. [ABSTRACT FROM AUTHOR] |
| Copyright of European Child & Adolescent Psychiatry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. 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.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 101105387 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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