CONTEXT: Maternal and paternal ages are associated with neurodevelopmental disorders. OBJECTIVE: To examine the relationship between advancing paternal age at birth of offspring and their risk of autism spectrum disorder (ASD). DESIGN: Historical population-based cohort study. SETTING: Identification of ASD cases from the Israeli draft board medical registry. PARTICIPANTS: We conducted a study of Jewish persons born in Israel during 6 consecutive years. Virtually all men and about three quarters of women in this cohort underwent draft board assessment at age 17 years. Paternal age at birth was obtained for most of the cohort; maternal age was obtained for a smaller subset. We used the smaller subset (n = 132 271) with data on both paternal and maternal age for the primary analysis and the larger subset (n = 318 506) with data on paternal but not maternal age for sensitivity analyses. MAIN OUTCOME MEASURES: Information on persons coded as having International Classification of Diseases, 10th Revision ASD was obtained from the registry. The registry identified 110 cases of ASD (incidence, 8.3 cases per 10 000 persons), mainly autism, in the smaller subset with complete parental age data. RESULTS: There was a significant monotonic association between advancing paternal age and risk of ASD. Offspring of men 40 years or older were 5.75 times (95% confidence interval, 2.65-12.46; P<.001) more likely to have ASD compared with offspring of men younger than 30 years, after controlling for year of birth, socioeconomic status, and maternal age. Advancing maternal age showed no association with ASD after adjusting for paternal age. Sensitivity analyses indicated that these findings were not the result of bias due to missing data on maternal age. CONCLUSIONS: Advanced paternal age was associated with increased risk of ASD. Possible biological mechanisms include de novo mutations associated with advancing age or alterations in genetic imprinting.
CONTEXT: Maternal and paternal ages are associated with neurodevelopmental disorders. OBJECTIVE: To examine the relationship between advancing paternal age at birth of offspring and their risk of autism spectrum disorder (ASD). DESIGN: Historical population-based cohort study. SETTING: Identification of ASD cases from the Israeli draft board medical registry. PARTICIPANTS: We conducted a study of Jewish persons born in Israel during 6 consecutive years. Virtually all men and about three quarters of women in this cohort underwent draft board assessment at age 17 years. Paternal age at birth was obtained for most of the cohort; maternal age was obtained for a smaller subset. We used the smaller subset (n = 132 271) with data on both paternal and maternal age for the primary analysis and the larger subset (n = 318 506) with data on paternal but not maternal age for sensitivity analyses. MAIN OUTCOME MEASURES: Information on persons coded as having International Classification of Diseases, 10th Revision ASD was obtained from the registry. The registry identified 110 cases of ASD (incidence, 8.3 cases per 10 000 persons), mainly autism, in the smaller subset with complete parental age data. RESULTS: There was a significant monotonic association between advancing paternal age and risk of ASD. Offspring of men 40 years or older were 5.75 times (95% confidence interval, 2.65-12.46; P<.001) more likely to have ASD compared with offspring of men younger than 30 years, after controlling for year of birth, socioeconomic status, and maternal age. Advancing maternal age showed no association with ASD after adjusting for paternal age. Sensitivity analyses indicated that these findings were not the result of bias due to missing data on maternal age. CONCLUSIONS: Advanced paternal age was associated with increased risk of ASD. Possible biological mechanisms include de novo mutations associated with advancing age or alterations in genetic imprinting.
Authors: Lisa Mosconi; Wai Tsui; John Murray; Pauline McHugh; Yi Li; Schantel Williams; Elizabeth Pirraglia; Lidia Glodzik; Susan De Santi; Shankar Vallabhajosula; Mony J de Leon Journal: Neurobiol Aging Date: 2011-04-22 Impact factor: 4.673
Authors: D Ehninger; Y Sano; P J de Vries; K Dies; D Franz; D H Geschwind; M Kaur; Y-S Lee; W Li; J K Lowe; J A Nakagawa; M Sahin; K Smith; V Whittemore; A J Silva Journal: Mol Psychiatry Date: 2010-11-16 Impact factor: 15.992
Authors: Alison K Merikangas; Monica E Calkins; Warren B Bilker; Tyler M Moore; Ruben C Gur; Raquel E Gur Journal: J Am Acad Child Adolesc Psychiatry Date: 2017-03-06 Impact factor: 8.829