Advanced paternal age has been suggested as a risk factor for autism, but empirical evidence is mixed. This study examines whether the association between paternal age and autism in the offspring (1) persists controlling for documented autism risk factors, including family psychiatric history, perinatal conditions, infant characteristics and demographic variables; (2) may be explained by familial traits associated with the autism phenotype, or confounding by parity; and (3) is consistent across epidemiological studies. Multiple study methods were adopted. First, a Swedish 10-year birth cohort (N=1 075 588) was established. Linkage to the National Patient Register ascertained all autism cases (N=883). Second, 660 families identified within the birth cohort had siblings discordant for autism. Finally, meta-analysis included population-based epidemiological studies. In the birth cohort, autism risk increased monotonically with increasing paternal age. Offspring of men aged ≥50 years were 2.2 times (95% confidence interval: 1.26-3.88: P=0.006) more likely to have autism than offspring of men aged ≤29 years, after controlling for maternal age and documented risk factors for autism. Within-family analysis of discordant siblings showed that affected siblings had older paternal age, adjusting for maternal age and parity (P<0.0001). Meta-analysis demonstrated advancing paternal age association with increased risk of autism across studies. These findings provide the strongest evidence to date that advanced paternal age is a risk factor for autism in the offspring. Possible biological mechanisms include de novo aberration and mutations or epigenetic alterations associated with aging.
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http://dx.doi.org/10.1038/mp.2010.121 | DOI Listing |
J Child Psychol Psychiatry
January 2025
Department of Applied Psychology and Human Development, University of Toronto, Toronto, Ontario, Canada.
Background: This longitudinal study with multi-informant (maternal, paternal, and experimenter) and multimethod (questionnaires, behavioral observations, and standardized assessments) data tests an intergenerational model from mothers' adverse childhood experiences (ACEs) to their children's socio-emotional and cognitive outcomes.
Methods: Participants were 501 children (50.7% male) and caregivers (56.
Nature
January 2025
deCODE genetics/Amgen Inc., Reykjavik, Iceland.
Human recombination maps are a valuable resource for association and linkage studies and crucial for many inferences of population history and natural selection. Existing maps are based solely on cross-over (CO) recombination, omitting non-cross-overs (NCOs)-the more common form of recombination-owing to the difficulty in detecting them. Using whole-genome sequence data in families, we estimate the number of NCOs transmitted from parent to offspring and derive complete, sex-specific recombination maps including both NCOs and COs.
View Article and Find Full Text PDFNature
January 2025
Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA.
Female mammalian cells have two X chromosomes, one of maternal origin and one of paternal origin. During development, one X chromosome randomly becomes inactivated. This renders either the maternal X (X) chromosome or the paternal X (X) chromosome inactive, causing X mosaicism that varies between female individuals, with some showing considerable or complete skew of the X chromosome that remains active.
View Article and Find Full Text PDFCompr Psychiatry
January 2025
School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia; Academic Unit of Child Psychiatry, Liverpool Hospital, Liverpool, NSW, Australia; Ingham Institute of Applied Medical Research and Liverpool Hospital, Sydney, NSW, Australia. Electronic address:
While previous research has examined perinatal factors in the context of Autism Spectrum Disorder (ASD), studies focusing on sociocultural factors is limited. We conducted a cross-sectional analysis utilizing data from the Australian Autism Biobank (AAB), which encompasses autistic children aged 2-17, their siblings, parents, and unrelated controls. Employing multivariable regression analyses, we aimed to identify factors associated with ASD across various domains, spanning health and lifestyle, perinatal, and postnatal contexts.
View Article and Find Full Text PDFBMC Public Health
January 2025
Faculty of Science and Humanities, School of Postgraduate Studies and Research (SPGSR), Amoud University, Borama, Somaliland.
Background: Diarrheal diseases remain a critical public health challenge, particularly for children under five in low- and middle-income countries such as Somalia. This study aimed to assess the prevalence and determinants of diarrhea in this vulnerable population, utilizing data from the 2020 Somalia Demographic and Health Survey.
Methods: This investigation employed secondary data from the 2020 Somalia Demographic and Health Survey.
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