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Documents disponibles écrits par cet auteur (28)
Faire une suggestion Affiner la rechercheAssociations between accelerated parental biologic age, autism spectrum disorder, social traits, and developmental and cognitive outcomes in their children / Ashley Y. SONG in Autism Research, 15-12 (December 2022)
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Titre : Associations between accelerated parental biologic age, autism spectrum disorder, social traits, and developmental and cognitive outcomes in their children Type de document : texte imprimé Auteurs : Ashley Y. SONG, Auteur ; Kelly M. BAKULSKI, Auteur ; Jason I. FEINBERG, Auteur ; Craig J. NEWSCHAFFER, Auteur ; Lisa A. CROEN, Auteur ; Irva HERTZ-PICCIOTTO, Auteur ; Rebecca J. SCHMIDT, Auteur ; Homayoon FARZADEGAN, Auteur ; Kristen LYALL, Auteur ; M. Daniele FALLIN, Auteur ; Heather E. VOLK, Auteur ; Christine LADD-ACOSTA, Auteur Article en page(s) : p.2359-2370 Langues : Anglais (eng) Mots-clés : Child Male Pregnancy Female Humans Autism Spectrum Disorder/epidemiology/genetics Prospective Studies Parents Cognition Biological Products Epigenesis, Genetic DNA methylation age acceleration autism spectrum disorder autism-related traits biologic age epigenetic age parental age Index. décimale : PER Périodiques Résumé : Parental age is a known risk factor for autism spectrum disorder (ASD), however, studies to identify the biologic changes underpinning this association are limited. In recent years, "epigenetic clock" algorithms have been developed to estimate biologic age and to evaluate how the epigenetic aging impacts health and disease. In this study, we examined the relationship between parental epigenetic aging and their child's prospective risk of ASD and autism related quantitative traits in the Early Autism Risk Longitudinal Investigation study. Estimates of epigenetic age were computed using three robust clock algorithms and DNA methylation measures from the Infinium HumanMethylation450k platform for maternal blood and paternal blood specimens collected during pregnancy. Epigenetic age acceleration was defined as the residual of regressing chronological age on epigenetic age while accounting for cell type proportions. Multinomial logistic regression and linear regression models were completed adjusting for potential confounders for both maternal epigenetic age acceleration (n = 163) and paternal epigenetic age acceleration (n = 80). We found accelerated epigenetic aging in mothers estimated by Hannum's clock was significantly associated with lower cognitive ability and function in offspring at 12 months, as measured by Mullen Scales of Early Learning scores (ÃŽ2 = -1.66, 95% CI: -3.28, -0.04 for a one-unit increase). We also observed a marginal association between accelerated maternal epigenetic aging by Horvath's clock and increased odds of ASD in offspring at 36 months of age (aOR = 1.12, 95% CI: 0.99, 1.26). By contrast, fathers accelerated aging was marginally associated with decreased ASD risk in their offspring (aOR = 0.83, 95% CI: 0.68, 1.01). Our findings suggest epigenetic aging could play a role in parental age risks on child brain development. En ligne : http://dx.doi.org/10.1002/aur.2822 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488
in Autism Research > 15-12 (December 2022) . - p.2359-2370[article] Associations between accelerated parental biologic age, autism spectrum disorder, social traits, and developmental and cognitive outcomes in their children [texte imprimé] / Ashley Y. SONG, Auteur ; Kelly M. BAKULSKI, Auteur ; Jason I. FEINBERG, Auteur ; Craig J. NEWSCHAFFER, Auteur ; Lisa A. CROEN, Auteur ; Irva HERTZ-PICCIOTTO, Auteur ; Rebecca J. SCHMIDT, Auteur ; Homayoon FARZADEGAN, Auteur ; Kristen LYALL, Auteur ; M. Daniele FALLIN, Auteur ; Heather E. VOLK, Auteur ; Christine LADD-ACOSTA, Auteur . - p.2359-2370.
Langues : Anglais (eng)
in Autism Research > 15-12 (December 2022) . - p.2359-2370
Mots-clés : Child Male Pregnancy Female Humans Autism Spectrum Disorder/epidemiology/genetics Prospective Studies Parents Cognition Biological Products Epigenesis, Genetic DNA methylation age acceleration autism spectrum disorder autism-related traits biologic age epigenetic age parental age Index. décimale : PER Périodiques Résumé : Parental age is a known risk factor for autism spectrum disorder (ASD), however, studies to identify the biologic changes underpinning this association are limited. In recent years, "epigenetic clock" algorithms have been developed to estimate biologic age and to evaluate how the epigenetic aging impacts health and disease. In this study, we examined the relationship between parental epigenetic aging and their child's prospective risk of ASD and autism related quantitative traits in the Early Autism Risk Longitudinal Investigation study. Estimates of epigenetic age were computed using three robust clock algorithms and DNA methylation measures from the Infinium HumanMethylation450k platform for maternal blood and paternal blood specimens collected during pregnancy. Epigenetic age acceleration was defined as the residual of regressing chronological age on epigenetic age while accounting for cell type proportions. Multinomial logistic regression and linear regression models were completed adjusting for potential confounders for both maternal epigenetic age acceleration (n = 163) and paternal epigenetic age acceleration (n = 80). We found accelerated epigenetic aging in mothers estimated by Hannum's clock was significantly associated with lower cognitive ability and function in offspring at 12 months, as measured by Mullen Scales of Early Learning scores (ÃŽ2 = -1.66, 95% CI: -3.28, -0.04 for a one-unit increase). We also observed a marginal association between accelerated maternal epigenetic aging by Horvath's clock and increased odds of ASD in offspring at 36 months of age (aOR = 1.12, 95% CI: 0.99, 1.26). By contrast, fathers accelerated aging was marginally associated with decreased ASD risk in their offspring (aOR = 0.83, 95% CI: 0.68, 1.01). Our findings suggest epigenetic aging could play a role in parental age risks on child brain development. En ligne : http://dx.doi.org/10.1002/aur.2822 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488 Characterizing self-reported physical activity before and during a subsequent pregnancy among parents in a familial autism cohort / Megan G. BRAGG in Autism, 29-1 (January 2025)
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Titre : Characterizing self-reported physical activity before and during a subsequent pregnancy among parents in a familial autism cohort Type de document : texte imprimé Auteurs : Megan G. BRAGG, Auteur ; Olivia VESEY, Auteur ; Jorge E. CHAVARRO, Auteur ; Jaime E HART, Auteur ; Loni Philip TABB, Auteur ; Marc G WEISSKOPF, Auteur ; Lisa A. CROEN, Auteur ; M. Daniele FALLIN, Auteur ; Irva HERTZ-PICCIOTTO, Auteur ; Craig J. NEWSCHAFFER, Auteur ; Rebecca J. SCHMIDT, Auteur ; Heather VOLK, Auteur ; Kristen LYALL, Auteur Article en page(s) : p.143-154 Langues : Anglais (eng) Mots-clés : family functioning and support quality of life risk factor epidemiology Index. décimale : PER Périodiques Résumé : Parents of autistic children report barriers to engaging in physical activity, which may be exacerbated during subsequent pregnancies. We aimed to describe physical activity of parents caring for an autistic child, before and during a subsequent pregnancy, and to explore whether physical activity was associated with the autistic child?s Social Responsiveness Scale score, a measure of autism-related traits. We used data from the Early Autism Risk Longitudinal Investigation, in which families with an autistic child were followed through a subsequent pregnancy. Mothers (n = 245) self-reported physical activity in the 3 months before conception and during pregnancy; fathers (n = 130) reported on the 6 months prior to enrollment. Approximately 40% of nonpregnant mothers and fathers and 9.3% of pregnant mothers met Physical Activity Guidelines for Americans recommendations. Most (83.5%) pregnant mothers reported no vigorous activity; after adjustment for covariates, this was more common among mothers of children with Social Responsiveness Scale T-scores >75 compared with mothers of children with lower T-scores (adjusted odds ratio (95% confidence interval) = 2.94 (1.11, 7.78)). Among parents caring for an autistic child before and during a subsequent pregnancy, physical activity was lower than recommended. Family-based interventions may be necessary to help support physical activity levels.Lay AbstractParents of autistic children may have limited time and resources to participate in physical activity, a key aspect of health. Previous studies have been small and included mostly mothers, rather than fathers. No studies have examined physical activity in these parents during another pregnancy, when physical activity is especially important for maternal and fetal health. We aimed to fill this gap by examining physical activity levels among mothers and fathers caring for an autistic child before and during a subsequent pregnancy. We used data from a study which followed pregnant individuals who already had a child with autism. We asked mothers and fathers to report their levels of moderate and vigorous physical activity. We found that mothers and fathers of autistic children reported lower physical activity levels than the national average and were unlikely to meet Physical Activity Guidelines for Americans. Pregnant mothers were the least likely to participate in physical activity, particularly if their autistic child scored highly on a measure of autistic traits. Given that parental physical activity has benefits for parents and children, family-based interventions may be needed to help support parents' physical activity levels. En ligne : https://dx.doi.org/10.1177/13623613241273034 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=544
in Autism > 29-1 (January 2025) . - p.143-154[article] Characterizing self-reported physical activity before and during a subsequent pregnancy among parents in a familial autism cohort [texte imprimé] / Megan G. BRAGG, Auteur ; Olivia VESEY, Auteur ; Jorge E. CHAVARRO, Auteur ; Jaime E HART, Auteur ; Loni Philip TABB, Auteur ; Marc G WEISSKOPF, Auteur ; Lisa A. CROEN, Auteur ; M. Daniele FALLIN, Auteur ; Irva HERTZ-PICCIOTTO, Auteur ; Craig J. NEWSCHAFFER, Auteur ; Rebecca J. SCHMIDT, Auteur ; Heather VOLK, Auteur ; Kristen LYALL, Auteur . - p.143-154.
Langues : Anglais (eng)
in Autism > 29-1 (January 2025) . - p.143-154
Mots-clés : family functioning and support quality of life risk factor epidemiology Index. décimale : PER Périodiques Résumé : Parents of autistic children report barriers to engaging in physical activity, which may be exacerbated during subsequent pregnancies. We aimed to describe physical activity of parents caring for an autistic child, before and during a subsequent pregnancy, and to explore whether physical activity was associated with the autistic child?s Social Responsiveness Scale score, a measure of autism-related traits. We used data from the Early Autism Risk Longitudinal Investigation, in which families with an autistic child were followed through a subsequent pregnancy. Mothers (n = 245) self-reported physical activity in the 3 months before conception and during pregnancy; fathers (n = 130) reported on the 6 months prior to enrollment. Approximately 40% of nonpregnant mothers and fathers and 9.3% of pregnant mothers met Physical Activity Guidelines for Americans recommendations. Most (83.5%) pregnant mothers reported no vigorous activity; after adjustment for covariates, this was more common among mothers of children with Social Responsiveness Scale T-scores >75 compared with mothers of children with lower T-scores (adjusted odds ratio (95% confidence interval) = 2.94 (1.11, 7.78)). Among parents caring for an autistic child before and during a subsequent pregnancy, physical activity was lower than recommended. Family-based interventions may be necessary to help support physical activity levels.Lay AbstractParents of autistic children may have limited time and resources to participate in physical activity, a key aspect of health. Previous studies have been small and included mostly mothers, rather than fathers. No studies have examined physical activity in these parents during another pregnancy, when physical activity is especially important for maternal and fetal health. We aimed to fill this gap by examining physical activity levels among mothers and fathers caring for an autistic child before and during a subsequent pregnancy. We used data from a study which followed pregnant individuals who already had a child with autism. We asked mothers and fathers to report their levels of moderate and vigorous physical activity. We found that mothers and fathers of autistic children reported lower physical activity levels than the national average and were unlikely to meet Physical Activity Guidelines for Americans. Pregnant mothers were the least likely to participate in physical activity, particularly if their autistic child scored highly on a measure of autistic traits. Given that parental physical activity has benefits for parents and children, family-based interventions may be needed to help support parents' physical activity levels. En ligne : https://dx.doi.org/10.1177/13623613241273034 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=544 Commonly used genomic arrays may lose information due to imperfect coverage of discovered variants for autism spectrum disorder / Michael YAO in Journal of Neurodevelopmental Disorders, 16 (2024)
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Titre : Commonly used genomic arrays may lose information due to imperfect coverage of discovered variants for autism spectrum disorder Type de document : texte imprimé Auteurs : Michael YAO, Auteur ; Jason DANIELS, Auteur ; Luke GROSVENOR, Auteur ; Valerie MORRILL, Auteur ; Jason I. FEINBERG, Auteur ; Kelly M. BAKULSKI, Auteur ; Joseph PIVEN, Auteur ; Heather C. HAZLETT, Auteur ; Mark D. SHEN, Auteur ; Craig NEWSCHAFFER, Auteur ; Kristen LYALL, Auteur ; Rebecca J. SCHMIDT, Auteur ; Irva HERTZ-PICCIOTTO, Auteur ; Lisa A. CROEN, Auteur ; M. Daniele FALLIN, Auteur ; Christine LADD-ACOSTA, Auteur ; Heather VOLK, Auteur ; Kelly BENKE, Auteur Langues : Anglais (eng) Mots-clés : Humans Autism Spectrum Disorder/genetics Genome-Wide Association Study Multifactorial Inheritance Genetic Predisposition to Disease Male Female Genotype Polymorphism, Single Nucleotide Autism spectrum disorder (ASD) Information Loss Polygenic scores (PGS) Index. décimale : PER Périodiques Résumé : BACKGROUND: Common genetic variation has been shown to account for a large proportion of ASD heritability. Polygenic scores generated for autism spectrum disorder (ASD-PGS) using the most recent discovery data, however, explain less variance than expected, despite reporting significant associations with ASD and other ASD-related traits. Here, we investigate the extent to which information loss on the target study genome-wide microarray weakens the predictive power of the ASD-PGS. METHODS: We studied genotype data from three cohorts of individuals with high familial liability for ASD: The Early Autism Risk Longitudinal Investigation (EARLI), Markers of Autism Risk in Babies-Learning Early Signs (MARBLES), and the Infant Brain Imaging Study (IBIS), and one population-based sample, Study to Explore Early Development Phase I (SEED I). Individuals were genotyped on different microarrays ranging from 1 to 5 million sites. Coverage of the top 88 genome-wide suggestive variants implicated in the discovery was evaluated in all four studies before quality control (QC), after QC, and after imputation. We then created a novel method to assess coverage on the resulting ASD-PGS by correlating a PGS informed by a comprehensive list of variants to a PGS informed with only the available variants. RESULTS: Prior to imputations, None of the four cohorts directly or indirectly covered all 88 variants among the measured genotype data. After imputation, the two cohorts genotyped on 5-million arrays reached full coverage. Analysis of our novel metric showed generally high genome-wide coverage across all four studies, but a greater number of SNPs informing the ASD-PGS did not result in improved coverage according to our metric. LIMITATIONS: The studies we analyzed contained modest sample sizes. Our analyses included microarrays with more than 1-million sites, so smaller arrays such as Global Diversity and the PsychArray were not included. Our PGS metric for ASD is only generalizable to samples of European ancestries, though the coverage metric can be computed for traits that have sufficiently large-sized discovery findings in other ancestries. CONCLUSIONS: We show that commonly used genotyping microarrays have incomplete coverage for common ASD variants, and imputation cannot always recover lost information. Our novel metric provides an intuitive approach to reporting information loss in PGS and an alternative to reporting the total number of SNPs included in the PGS. While applied only to ASD here, this metric can easily be used with other traits. En ligne : https://dx.doi.org/10.1186/s11689-024-09571-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576
in Journal of Neurodevelopmental Disorders > 16 (2024)[article] Commonly used genomic arrays may lose information due to imperfect coverage of discovered variants for autism spectrum disorder [texte imprimé] / Michael YAO, Auteur ; Jason DANIELS, Auteur ; Luke GROSVENOR, Auteur ; Valerie MORRILL, Auteur ; Jason I. FEINBERG, Auteur ; Kelly M. BAKULSKI, Auteur ; Joseph PIVEN, Auteur ; Heather C. HAZLETT, Auteur ; Mark D. SHEN, Auteur ; Craig NEWSCHAFFER, Auteur ; Kristen LYALL, Auteur ; Rebecca J. SCHMIDT, Auteur ; Irva HERTZ-PICCIOTTO, Auteur ; Lisa A. CROEN, Auteur ; M. Daniele FALLIN, Auteur ; Christine LADD-ACOSTA, Auteur ; Heather VOLK, Auteur ; Kelly BENKE, Auteur.
Langues : Anglais (eng)
in Journal of Neurodevelopmental Disorders > 16 (2024)
Mots-clés : Humans Autism Spectrum Disorder/genetics Genome-Wide Association Study Multifactorial Inheritance Genetic Predisposition to Disease Male Female Genotype Polymorphism, Single Nucleotide Autism spectrum disorder (ASD) Information Loss Polygenic scores (PGS) Index. décimale : PER Périodiques Résumé : BACKGROUND: Common genetic variation has been shown to account for a large proportion of ASD heritability. Polygenic scores generated for autism spectrum disorder (ASD-PGS) using the most recent discovery data, however, explain less variance than expected, despite reporting significant associations with ASD and other ASD-related traits. Here, we investigate the extent to which information loss on the target study genome-wide microarray weakens the predictive power of the ASD-PGS. METHODS: We studied genotype data from three cohorts of individuals with high familial liability for ASD: The Early Autism Risk Longitudinal Investigation (EARLI), Markers of Autism Risk in Babies-Learning Early Signs (MARBLES), and the Infant Brain Imaging Study (IBIS), and one population-based sample, Study to Explore Early Development Phase I (SEED I). Individuals were genotyped on different microarrays ranging from 1 to 5 million sites. Coverage of the top 88 genome-wide suggestive variants implicated in the discovery was evaluated in all four studies before quality control (QC), after QC, and after imputation. We then created a novel method to assess coverage on the resulting ASD-PGS by correlating a PGS informed by a comprehensive list of variants to a PGS informed with only the available variants. RESULTS: Prior to imputations, None of the four cohorts directly or indirectly covered all 88 variants among the measured genotype data. After imputation, the two cohorts genotyped on 5-million arrays reached full coverage. Analysis of our novel metric showed generally high genome-wide coverage across all four studies, but a greater number of SNPs informing the ASD-PGS did not result in improved coverage according to our metric. LIMITATIONS: The studies we analyzed contained modest sample sizes. Our analyses included microarrays with more than 1-million sites, so smaller arrays such as Global Diversity and the PsychArray were not included. Our PGS metric for ASD is only generalizable to samples of European ancestries, though the coverage metric can be computed for traits that have sufficiently large-sized discovery findings in other ancestries. CONCLUSIONS: We show that commonly used genotyping microarrays have incomplete coverage for common ASD variants, and imputation cannot always recover lost information. Our novel metric provides an intuitive approach to reporting information loss in PGS and an alternative to reporting the total number of SNPs included in the PGS. While applied only to ASD here, this metric can easily be used with other traits. En ligne : https://dx.doi.org/10.1186/s11689-024-09571-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576 A Comparative Analysis of the Full and Short Versions of the Social Responsiveness Scale in Estimating an Established Autism Risk Factor Association in ECHO: Do we Get the Same Estimates? / Xuejuan NING ; Mina HOSSEINI ; Lisa A. CROEN ; Robert M. JOSEPH ; Margaret R. KARAGAS ; Christine LADD-ACOSTA ; Rebecca LANDA ; Daniel S. MESSINGER ; Craig J. NEWSCHAFFER ; Ruby NGUYEN ; Sally OZONOFF ; T. Michael O'SHEA ; Rebecca J. SCHMIDT ; Cindy O. TREVINO ; Kristen LYALL in Journal of Autism and Developmental Disorders, 55-6 (June 2025)
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Titre : A Comparative Analysis of the Full and Short Versions of the Social Responsiveness Scale in Estimating an Established Autism Risk Factor Association in ECHO: Do we Get the Same Estimates? Type de document : texte imprimé Auteurs : Xuejuan NING, Auteur ; Mina HOSSEINI, Auteur ; Lisa A. CROEN, Auteur ; Robert M. JOSEPH, Auteur ; Margaret R. KARAGAS, Auteur ; Christine LADD-ACOSTA, Auteur ; Rebecca LANDA, Auteur ; Daniel S. MESSINGER, Auteur ; Craig J. NEWSCHAFFER, Auteur ; Ruby NGUYEN, Auteur ; Sally OZONOFF, Auteur ; T. Michael O'SHEA, Auteur ; Rebecca J. SCHMIDT, Auteur ; Cindy O. TREVINO, Auteur ; Kristen LYALL, Auteur Article en page(s) : p.2050-2058 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Prior work developed a shortened 16-item version of the Social Responsiveness Scale (SRS), a quantitative measure of social communication and autism spectrum disorder (ASD)-related traits. However, its properties for use in risk factor estimation have not been fully tested compared to the full SRS. We compared the associations between gestational age (previously established risk factor for ASD) and the 65-item "full" and 16-item "short" versions of the SRS to test the shortened version s ability to capture associations in epidemiologic analyses of ASD risk factors. En ligne : https://doi.org/10.1007/s10803-023-06020-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=556
in Journal of Autism and Developmental Disorders > 55-6 (June 2025) . - p.2050-2058[article] A Comparative Analysis of the Full and Short Versions of the Social Responsiveness Scale in Estimating an Established Autism Risk Factor Association in ECHO: Do we Get the Same Estimates? [texte imprimé] / Xuejuan NING, Auteur ; Mina HOSSEINI, Auteur ; Lisa A. CROEN, Auteur ; Robert M. JOSEPH, Auteur ; Margaret R. KARAGAS, Auteur ; Christine LADD-ACOSTA, Auteur ; Rebecca LANDA, Auteur ; Daniel S. MESSINGER, Auteur ; Craig J. NEWSCHAFFER, Auteur ; Ruby NGUYEN, Auteur ; Sally OZONOFF, Auteur ; T. Michael O'SHEA, Auteur ; Rebecca J. SCHMIDT, Auteur ; Cindy O. TREVINO, Auteur ; Kristen LYALL, Auteur . - p.2050-2058.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 55-6 (June 2025) . - p.2050-2058
Index. décimale : PER Périodiques Résumé : Prior work developed a shortened 16-item version of the Social Responsiveness Scale (SRS), a quantitative measure of social communication and autism spectrum disorder (ASD)-related traits. However, its properties for use in risk factor estimation have not been fully tested compared to the full SRS. We compared the associations between gestational age (previously established risk factor for ASD) and the 65-item "full" and 16-item "short" versions of the SRS to test the shortened version s ability to capture associations in epidemiologic analyses of ASD risk factors. En ligne : https://doi.org/10.1007/s10803-023-06020-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=556 Demographic Correlates of Autism: How Do Associations Compare Between Diagnosis and a Quantitative Trait Measure? / Kristen LYALL in Autism Research, 18-3 (March 2025)
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Titre : Demographic Correlates of Autism: How Do Associations Compare Between Diagnosis and a Quantitative Trait Measure? Type de document : texte imprimé Auteurs : Kristen LYALL, Auteur ; Aisha S. DICKERSON, Auteur ; Annette M. GREEN, Auteur ; Seth FRNDAK, Auteur ; Lisa A. CROEN, Auteur ; Jennifer L. AMES, Auteur ; Lyndsay A. AVALOS, Auteur ; Judy L. ASCHNER, Auteur ; Nicole R. BUSH, Auteur ; Carlos A. CAMARGO, Auteur ; Viren D'SA, Auteur ; Stephen R. DAGER, Auteur ; Anne L. DUNLOP, Auteur ; Assiamira FERRARA, Auteur ; Jody M. GANIBAN, Auteur ; James E. GERN, Auteur ; Tre D. GISSANDANER, Auteur ; J. Carolyn GRAFF, Auteur ; Irva HERTZ-PICCIOTTO, Auteur ; Alison E. HIPWELL, Auteur ; Tengfei MA, Auteur ; Meghan MILLER, Auteur ; Laura MURPHY, Auteur ; Margaret R. KARAGAS, Auteur ; Rachel S. KELLY, Auteur ; Amy E. MARGOLIS, Auteur ; Daphne KOINIS-MITCHELL, Auteur ; Cindy MCEVOY, Auteur ; Daniel S. MESSINGER, Auteur ; Ruby NGUYEN, Auteur ; Emily OKEN, Auteur ; Sally OZONOFF, Auteur ; Grier P. PAGE, Auteur ; Susan L. SCHANTZ, Auteur ; Rebecca J. SCHMIDT, Auteur ; Coral L. SHUSTER, Auteur ; Julie B. SCHWEITZER, Auteur ; Stephen J. SHEINKOPF, Auteur ; Joseph B. STANFORD, Auteur ; Cindy O. TREVINO, Auteur ; Scott T. WEISS, Auteur ; Heather E. VOLK, Auteur ; Robert M. JOSEPH, Auteur ; Outcomes PROGRAM COLLABORATORS FOR ENVIRONMENTAL INFLUENCES ON CHILD HEALTH, Auteur Article en page(s) : p.648-659 Langues : Anglais (eng) Mots-clés : autism diagnosis social responsiveness scale Index. décimale : PER Périodiques Résumé : ABSTRACT Prevalence of autism diagnosis has historically differed by demographic factors. Using data from 8224 participants drawn from the Environmental influences on Child Health Outcomes (ECHO) Program, we examined relationships between demographic factors and parent-reported autism-related traits as captured by the Social Responsiveness Scale (SRS; T score?> 65) and compared these to relations with parent-reported clinician diagnosis of ASD, in generalized linear mixed effects regression analyses. Results suggested lower odds of autism diagnosis, but not of SRS T?> 65, for non-Hispanic Black children (adjusted odds ratio [OR] 0.76, 95% CI 0.55, 1.06) relative to non-Hispanic White children. Higher maternal education was associated with reduced odds of both outcomes (OR 0.73, 95% CI 0.51, 1.05 for ASD autism diagnosis and 0.4, 95% CI 0.29, 0.55 for SRS score). In addition, results suggested a lower likelihood of autism diagnosis but a higher likelihood of an SRS score?> 65 in Black girls. Findings suggest lower diagnostic recognition of autism in non-Hispanic Black children, despite a similar degree of SRS-assessed autism-related traits falling in the clinically elevated range. Further work is needed to address this disparity. En ligne : https://doi.org/10.1002/aur.3296 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=550
in Autism Research > 18-3 (March 2025) . - p.648-659[article] Demographic Correlates of Autism: How Do Associations Compare Between Diagnosis and a Quantitative Trait Measure? [texte imprimé] / Kristen LYALL, Auteur ; Aisha S. DICKERSON, Auteur ; Annette M. GREEN, Auteur ; Seth FRNDAK, Auteur ; Lisa A. CROEN, Auteur ; Jennifer L. AMES, Auteur ; Lyndsay A. AVALOS, Auteur ; Judy L. ASCHNER, Auteur ; Nicole R. BUSH, Auteur ; Carlos A. CAMARGO, Auteur ; Viren D'SA, Auteur ; Stephen R. DAGER, Auteur ; Anne L. DUNLOP, Auteur ; Assiamira FERRARA, Auteur ; Jody M. GANIBAN, Auteur ; James E. GERN, Auteur ; Tre D. GISSANDANER, Auteur ; J. Carolyn GRAFF, Auteur ; Irva HERTZ-PICCIOTTO, Auteur ; Alison E. HIPWELL, Auteur ; Tengfei MA, Auteur ; Meghan MILLER, Auteur ; Laura MURPHY, Auteur ; Margaret R. KARAGAS, Auteur ; Rachel S. KELLY, Auteur ; Amy E. MARGOLIS, Auteur ; Daphne KOINIS-MITCHELL, Auteur ; Cindy MCEVOY, Auteur ; Daniel S. MESSINGER, Auteur ; Ruby NGUYEN, Auteur ; Emily OKEN, Auteur ; Sally OZONOFF, Auteur ; Grier P. PAGE, Auteur ; Susan L. SCHANTZ, Auteur ; Rebecca J. SCHMIDT, Auteur ; Coral L. SHUSTER, Auteur ; Julie B. SCHWEITZER, Auteur ; Stephen J. SHEINKOPF, Auteur ; Joseph B. STANFORD, Auteur ; Cindy O. TREVINO, Auteur ; Scott T. WEISS, Auteur ; Heather E. VOLK, Auteur ; Robert M. JOSEPH, Auteur ; Outcomes PROGRAM COLLABORATORS FOR ENVIRONMENTAL INFLUENCES ON CHILD HEALTH, Auteur . - p.648-659.
Langues : Anglais (eng)
in Autism Research > 18-3 (March 2025) . - p.648-659
Mots-clés : autism diagnosis social responsiveness scale Index. décimale : PER Périodiques Résumé : ABSTRACT Prevalence of autism diagnosis has historically differed by demographic factors. Using data from 8224 participants drawn from the Environmental influences on Child Health Outcomes (ECHO) Program, we examined relationships between demographic factors and parent-reported autism-related traits as captured by the Social Responsiveness Scale (SRS; T score?> 65) and compared these to relations with parent-reported clinician diagnosis of ASD, in generalized linear mixed effects regression analyses. Results suggested lower odds of autism diagnosis, but not of SRS T?> 65, for non-Hispanic Black children (adjusted odds ratio [OR] 0.76, 95% CI 0.55, 1.06) relative to non-Hispanic White children. Higher maternal education was associated with reduced odds of both outcomes (OR 0.73, 95% CI 0.51, 1.05 for ASD autism diagnosis and 0.4, 95% CI 0.29, 0.55 for SRS score). In addition, results suggested a lower likelihood of autism diagnosis but a higher likelihood of an SRS score?> 65 in Black girls. Findings suggest lower diagnostic recognition of autism in non-Hispanic Black children, despite a similar degree of SRS-assessed autism-related traits falling in the clinically elevated range. Further work is needed to address this disparity. En ligne : https://doi.org/10.1002/aur.3296 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=550 Examining the association between prenatal cannabis exposure and child autism traits: A multi-cohort investigation in the environmental influences on child health outcome program / Aisha S. DICKERSON ; Tingju HSU ; Aseel AL-JADIRI ; Carlos A. CAMARGO ; Julie B. SCHWEITZER ; Coral L. SHUSTER ; Margaret R. KARAGAS ; Juliette C. MADAN ; Bibiana RESTREPO ; Rebecca J. SCHMIDT ; Claudia LUGO-CANDELAS ; Jenae M. NEIDERHISER ; Sheela SATHYANARAYANA ; Anne L. DUNLOP ; Patricia A. BRENNAN ; program collaborators for Environmental influences on Child Health OUTCOMES in Autism Research, 17-8 (August 2024)
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PermalinkExpression Changes in Epigenetic Gene Pathways Associated With One-Carbon Nutritional Metabolites in Maternal Blood From Pregnancies Resulting in Autism and Non-Typical Neurodevelopment / Yihui ZHU in Autism Research, 14-1 (January 2021)
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PermalinkInattention and hyperactivity in association with autism spectrum disorders in the CHARGE study / Kristen LYALL in Research in Autism Spectrum Disorders, 35 (March 2017)
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PermalinkJoint effects of prenatal air pollutant exposure and maternal folic acid supplementation on risk of autism spectrum disorder / J. GOODRICH AMANDA in Autism Research, 11-1 (January 2018)
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PermalinkMaternal androgens and autism spectrum disorder in the MARBLES prospective cohort study / Lauren GRANILLO in Research in Autism Spectrum Disorders, 99 (November)
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PermalinkMaternal metabolic profile predicts high or low risk of an autism pregnancy outcome / Kathryn HOLLOWOOD in Research in Autism Spectrum Disorders, 56 (December 2018)
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PermalinkMaternal polyunsaturated fatty acids and risk for autism spectrum disorder in the MARBLES high-risk study / Yunru HUANG in Autism, 24-5 (July 2020)
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PermalinkMaternal preconception and prenatal stressful life events in association with child neurodevelopmental outcome in MARBLES: A high familial likelihood cohort / Daniel J. TANCREDI ; Rebecca J. SCHMIDT in Research in Autism Spectrum Disorders, 114 (June 2024)
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PermalinkMaternal tobacco smoking and offspring autism spectrum disorder or traits in ECHO cohorts / Irva HERTZ-PICCIOTTO in Autism Research, 15-3 (March 2022)
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PermalinkA meta-analysis of two high-risk prospective cohort studies reveals autism-specific transcriptional changes to chromatin, autoimmune, and environmental response genes in umbilical cord blood / Charles E. MORDAUNT in Molecular Autism, 10 (2019)
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