Title |
Developmental Markers of Genetic Liability to Autism in Parents: A Longitudinal, Multigenerational Study
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Published in |
Journal of Autism and Developmental Disorders, January 2017
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DOI | 10.1007/s10803-016-2996-x |
Pubmed ID | |
Authors |
Molly Losh, Gary E. Martin, Michelle Lee, Jessica Klusek, John Sideris, Sheila Barron, Thomas Wassink |
Abstract |
Genetic liability to autism spectrum disorder (ASD) can be expressed in unaffected relatives through subclinical, genetically meaningful traits, or endophenotypes. This study aimed to identify developmental endophenotypes in parents of individuals with ASD by examining parents' childhood academic development over the school-age period. A cohort of 139 parents of individuals with ASD were studied, along with their children with ASD and 28 controls. Parents' childhood records in the domains of language, reading, and math were studied from grades K-12. Results indicated that relatively lower performance and slower development of skills (particularly language related skills), and an uneven rate of development across domains predicted ASD endophenotypes in adulthood for parents, and the severity of clinical symptoms in children with ASD. These findings may mark childhood indicators of genetic liability to ASD in parents, that could inform understanding of the subclinical expression of ASD genetic liability. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 14% |
Canada | 1 | 14% |
Japan | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 86% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
Unknown | 107 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 17 | 16% |
Student > Ph. D. Student | 16 | 15% |
Researcher | 13 | 12% |
Student > Bachelor | 11 | 10% |
Student > Doctoral Student | 10 | 9% |
Other | 12 | 11% |
Unknown | 29 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 35 | 32% |
Social Sciences | 8 | 7% |
Linguistics | 3 | 3% |
Biochemistry, Genetics and Molecular Biology | 3 | 3% |
Neuroscience | 3 | 3% |
Other | 17 | 16% |
Unknown | 39 | 36% |