The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Autism Risk Across Generations: A Population-Based Study of Advancing Grandpaternal and Paternal Age
Open accessAbstract
IMPORTANCE: Advancing paternal age has been linked to autism. OBJECTIVE: To further expand knowledge about the association between paternal age and autism by studying the effect of grandfathers' age on childhood autism. DESIGN: Population-based, multigenerational, case-control study. SETTING: Nationwide multigeneration and patient registers in Sweden. PARTICIPANTS: We conducted a study of individuals born in Sweden since 1932. Parental age at birth was obtained for more than 90% of the cohort. Grandparental age at the time of birth of the parent was obtained for a smaller subset (5936 cases and 30 923 controls). MAIN OUTCOME AND MEASURE: International Classification of Diseases diagnosis of childhood autism in the patient registry. RESULTS: A statistically significant monotonic association was found between advancing grandpaternal age at the time of birth of the parent and risk of autism in grandchildren. Men who had fathered a daughter when they were 50 years or older were 1.79 times (95% CI, 1.35-2.37; P < .001) more likely to have a grandchild with autism, and men who had fathered a son when they were 50 years or older were 1.67 times (95% CI, 1.35-2.37; P < .001) more likely to have a grandchild with autism, compared with men who had fathered children when they were 20 to 24 years old, after controlling for birth year and sex of the child, age of the spouse, family history of psychiatric disorders, highest family educational level, and residential county. A statistically significant monotonic association was also found between advancing paternal age and risk of autism in the offspring. Sensitivity analyses indicated that these findings were not the result of bias due to missing data on grandparental age. CONCLUSIONS AND RELEVANCE: Advanced grandparental age was associated with increased risk of autism, suggesting that risk of autism could develop over generations. The results are consistent with mutations and/or epigenetic alterations associated with advancing paternal age.
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Cites
External review and validation of the Swedish national inpatient register
Ludvigsson, J. F., Andersson, E., Ekbom, A., Feychting, M., Kim, J.-L., Reuterwall, C., Heurgren, M., & Olausson, P. O. (2011) · BMC Public Health · doi:10.1186/1471-2458-11-450 · Cited by 5,055
Sporadic autism exomes reveal a highly interconnected protein network of de novo mutations
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Rate of de novo mutations and the importance of father’s age to disease risk
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De novo mutations revealed by whole-exome sequencing are strongly associated with autism
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Epidemiology of Pervasive Developmental Disorders
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“Because autism is characterized by lower birth rates and high heritability,(2) it is puzzling that the disorder still exists and may even be increasing in prevalence.(35,36) The strong negative selection pressure should remove genes associated with this disorder from the gene pool promptly.”
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Patterns and rates of exonic de novo mutations in autism spectrum disorders
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Epidemiological Surveys of Autism and Other Pervasive Developmental Disorders: An Update
Fombonne, E. (2003) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1025054610557 · Cited by 1,505
De Novo Gene Disruptions in Children on the Autistic Spectrum
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The Epidemiology of Autism Spectrum Disorders
Newschaffer, C. J., Croen, L. A., Daniels, J., Giarelli, E., Grether, J. K., Levy, S. E., Mandell, D. S., Miller, L. A., Pinto-Martin, J., Reaven, J., et al. (2007) · Annual Review of Public Health · doi:10.1146/annurev.publhealth.28.021406.144007 · Cited by 1,228
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Annual Research Review: Secular trends in child and adolescent mental health
Collishaw, S. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12372 · Cited by 788
The contribution of environmental exposure to the etiology of autism spectrum disorder
Bölte, S., Girdler, S., & Marschik, P. B. (2019) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-018-2988-4 · Cited by 509
The Tohoku Medical Megabank Project: Design and Mission
Kuriyama, S., Yaegashi, N., Nagami, F., Arai, T., Kawaguchi, Y., Osumi, N., Sakaida, M., Suzuki, Y., Nakayama, K., Hashizume, H., et al. (2016) · Journal of Epidemiology · doi:10.2188/jea.je20150268 · Cited by 359
Paternal Age at Childbearing and Offspring Psychiatric and Academic Morbidity
D’Onofrio, B. M., Rickert, M. E., Frans, E., Kuja-Halkola, R., Almqvist, C., Sjölander, A., Larsson, H., & Lichtenstein, P. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.4525 · Cited by 282
Self-citationMandy, W., & Lai, M. (2016) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12501 · Cited by 283
Metadata
- Authors
- Frans, E. M., Sandin, S., Reichenberg, A., Långström, N., Lichtenstein, P., McGrath, J. J., & Hultman, C. M.
- Venue
- JAMA Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2013-05-01
- Volume
- 70
- Issue
- 5
- Pages
- 516
- ISSN
- 2168-622X (ISSN-L)
- OpenAlex
- W2038097808
- Cited by
- 159
- References
- 12
- FWCI
- 9.93
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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