Relevant bibliographies by topics / Quantitative autism traits

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters

Academic literature on the topic 'Quantitative autism traits'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Quantitative autism traits"

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Jussila, Katja, Kristen Lyall, Sanna Kuusikko-Gauffin, et al. "Familiality of Quantitative Autism Traits." Scandinavian Journal of Child and Adolescent Psychiatry and Psychology 3, no. 2 (2015): 126–35. http://dx.doi.org/10.21307/sjcapp-2015-013.

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Grove, Rachel, Andrew Baillie, Carrie Allison, Simon Baron-Cohen, and Rosa A. Hoekstra. "Exploring the quantitative nature of empathy, systemising and autistic traits using factor mixture modelling." British Journal of Psychiatry 207, no. 5 (2015): 400–406. http://dx.doi.org/10.1192/bjp.bp.114.155101.

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BackgroundAutism research has previously focused on either identifying a latent dimension or searching for subgroups. Research assessing the concurrently categorical and dimensional nature of autism is needed.AimsTo investigate the latent structure of autism and identify meaningful subgroups in a sample spanning the full spectrum of genetic vulnerability.MethodFactor mixture models were applied to data on empathy, systemising and autistic traits from individuals on the autism spectrum, parents and general population controls.ResultsA two-factor three-class model was identified, with two factor
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Miller, Catriona J., Evgeniia Golovina, Joerg S. Wicker, Jessie C. Jacobsen, and Justin M. O’Sullivan. "De novo network analysis reveals autism causal genes and developmental links to co-occurring traits." Life Science Alliance 6, no. 10 (2023): e202302142. http://dx.doi.org/10.26508/lsa.202302142.

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Autism is a complex neurodevelopmental condition that manifests in various ways. Autism is often accompanied by other conditions, such as attention-deficit/hyperactivity disorder and schizophrenia, which can complicate diagnosis and management. Although research has investigated the role of specific genes in autism, their relationship with co-occurring traits is not fully understood. To address this, we conducted a two-sample Mendelian randomisation analysis and identified four genes located at the 17q21.31 locus that are putatively causal for autism in fetal cortical tissue (LINC02210,LRRC37A
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Jussila, K., M. Junttila, M. Kielinen, et al. "Sensory Abnormality and Quantitative Autism Traits in Children With and Without Autism Spectrum Disorder in an Epidemiological Population." Journal of Autism and Developmental Disorders 50, no. 1 (2019): 180–88. http://dx.doi.org/10.1007/s10803-019-04237-0.

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Abstract Sensory abnormalities (SAs) are recognized features in Autism Spectrum Disorder (ASD), and a relationship between SAs and ASD traits is also suggested in general population. Our aims were to estimate the prevalence of SAs in three different settings, and to study the association between SAs and quantitative autism traits (QAT) using the Autism Spectrum Screening Questionnaire (ASSQ) and a parental questionnaire. In an epidemiological population of 8-year-old children (n = 4397), the prevalence of SAs was 8.3%, in an ASD sample (n = 28), 53.6%, and in a non-ASD sample (n = 4369), 8.0%,
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Mottron, Laurent, and Danilo Bzdok. "Autism spectrum heterogeneity: fact or artifact?" Molecular Psychiatry 25, no. 12 (2020): 3178–85. http://dx.doi.org/10.1038/s41380-020-0748-y.

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AbstractThe current diagnostic practices are linked to a 20-fold increase in the reported prevalence of ASD over the last 30 years. Fragmenting the autism phenotype into dimensional “autistic traits” results in the alleged recognition of autism-like symptoms in any psychiatric or neurodevelopemental condition and in individuals decreasingly distant from the typical population, and prematurely dismisses the relevance of a diagnostic threshold. Non-specific socio-communicative and repetitive DSM 5 criteria, combined with four quantitative specifiers as well as all their possible combinations, re
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Arora, Abishek, Francesca Mastropasqua, Sven Bölte, and Kristiina Tammimies. "Urine metabolomic profiles of autism and autistic traits–A twin study." PLOS ONE 19, no. 9 (2024): e0308224. http://dx.doi.org/10.1371/journal.pone.0308224.

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Currently, there are no reliable biomarkers for autism diagnosis. The heterogeneity of autism and several co-occurring conditions are key challenges to establishing these. Here, we used untargeted mass spectrometry-based urine metabolomics to investigate metabolic differences for autism diagnosis and autistic traits in a well-characterized twin cohort (N = 105). We identified 208 metabolites in the urine samples of the twins. No clear, significant metabolic drivers for autism diagnosis were detected when controlling for other neurodevelopmental conditions. However, we identified nominally sign
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De la Marche, Wouter, Ilse Noens, Sofie Kuppens, Jantine L. Spilt, Bart Boets, and Jean Steyaert. "Measuring quantitative autism traits in families: informant effect or intergenerational transmission?" European Child & Adolescent Psychiatry 24, no. 4 (2014): 385–95. http://dx.doi.org/10.1007/s00787-014-0586-z.

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Virkud, Yamini V., Richard D. Todd, Anna M. Abbacchi, Yi Zhang, and John N. Constantino. "Familial aggregation of quantitative autistic traits in multiplex versus simplex autism." American Journal of Medical Genetics Part B: Neuropsychiatric Genetics 150B, no. 3 (2009): 328–34. http://dx.doi.org/10.1002/ajmg.b.30810.

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Dawson, Geraldine, Annette Estes, Jeffrey Munson, Gerard Schellenberg, Raphael Bernier, and Robert Abbott. "Quantitative Assessment of Autism Symptom-related Traits in Probands and Parents: Broader Phenotype Autism Symptom Scale." Journal of Autism and Developmental Disorders 37, no. 3 (2006): 523–36. http://dx.doi.org/10.1007/s10803-006-0182-2.

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Yong, Fung Lan, Florence Chuah, Loreta Ling Ling Uie, Ming Ha Lee, and Melinda Kong. "Lecturers’ Attitudes toward Autism Identity Development in Malaysia: A Quantitative Survey." Malaysian Journal of Social Sciences and Humanities (MJSSH) 10, no. 4 (2025): e003341. https://doi.org/10.47405/mjssh.v10i4.3341.

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The purpose of this study was to examine college lecturers’ attitudes toward autism (ASD) identity development in Malaysia. The Autism Identity Development Questionnaire was administered online to 44 lecturers to collect data that were subsequently analyzed using SPSS 26.0. Mann-Whitney U test revealed that there were no significant gender differences in lecturers’ attitudes, while Kurskal-Wallis H test indicated no significant differences in relation to age and job experience. Wilcoxon signed rank test showed that all 33 items were significant at p < 0.001, with medians showing significant
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Dissertations / Theses on the topic "Quantitative autism traits"

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Jussila, K. (Katja). "On the autism spectrum?:recognition and assessment of quantitative autism traits in high-functioning school-aged children. An epidemiological and clinical study." Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526223827.

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Abstract Background: There is wide variability in the phenotypic manifestation of autism spectrum disorder (ASD). Recognizing autistic traits behind socio-emotional and adaptive problems in children with normal cognitive level can therefore be challenging. Aims and methods: The purpose of this study was to find tools for recognition of autism traits for clinicians working in primary/secondary settings. Two internationally used and empirically valid quantitative screeners, the Autism Spectrum Screening Questionnaire (ASSQ) and the Social Responsiveness Scale (SRS), were translated into Finnish
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Ronald, Angelica Rachel. "Quantitative genetic study of autistic-like traits in middle childhood : evidence from a population twin sample for genetic heterogeneity between the behaviours that characterise autism spectrum conditions." Thesis, King's College London (University of London), 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427922.

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Book chapters on the topic "Quantitative autism traits"

1

Baron-Cohen, Simon. "Measuring the autistic spectrum." In Autism and Asperger Syndrome. Oxford University PressOxford, 2008. http://dx.doi.org/10.1093/oso/9780198504900.003.0003.

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Abstract The Autism Spectrum Quotient (AQ) is a screening instrument that can be used from 4 years of age through to adulthood. It measures how many autistic traits an individual shows, and can be used right across the population, not just in clinics. The AQ has been tested in terms of its clinical validity. The AQ still needs to be evaluated for its utililty as a population screen. This will entail evaluating what proportion of cases in a population the instrument correctly detects., There are related versions for children (the Child AQ) or teenagers (the Adolescent AQ). There is also a toddl
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Constantino, John N. "Autism as a Quantitative Trait." In Autism Spectrum Disorders. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780195371826.003.0033.

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. Cantor, Rita M. "Autism Endophenotypes and Quantitative Trait Loci." In Autism Spectrum Disorders. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780195371826.003.0045.

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