On the Nature of Monozygotic Twin Concordance and Discordance for Autistic Trait Severity: A Quantitative Analysis.
Saved in:
| Title: | On the Nature of Monozygotic Twin Concordance and Discordance for Autistic Trait Severity: A Quantitative Analysis. |
|---|---|
| Authors: | Castelbaum, Lauren (AUTHOR), Sylvester, Chad M. (AUTHOR), Zhang, Yi (AUTHOR), Yu, Qiongru (AUTHOR), Constantino, John N. (AUTHOR) |
| Source: | Behavior Genetics. Jul2020, Vol. 50 Issue 4, p263-272. 10p. |
| Subjects: | Twins, Quantitative research, Autism spectrum disorders, Twin studies |
| Abstract: | The characterizing features of autism spectrum disorder (ASD) are continuously distributed in nature; however, prior twin studies have not systematically incorporated this knowledge into estimations of concordance and discordance. We conducted a quantitative analysis of twin–twin similarity for autistic trait severity in three existing data sets involving 366 pairs of uniformly-phenotyped monozygotic (MZ) twins with and without ASD. Probandwise concordance for ASD was 96%; however, MZ trait correlations differed markedly for pairs with ASD trait burden below versus above the threshold for clinical diagnosis, with R2s on the order of 0.6 versus 0.1, respectively. Categorical MZ twin discordance for ASD diagnosis is rare and more appropriately operationalized by standardized quantification of twin–twin differences. Here we provide new evidence that although ASD itself is highly heritable, variation-in-severity of symptomatology above the diagnostic threshold is substantially influenced, in contrast, by non-shared environmental factors which may identify novel targets of early ASD amelioration. [ABSTRACT FROM AUTHOR] |
| Copyright of Behavior Genetics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 144520968 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: On the Nature of Monozygotic Twin Concordance and Discordance for Autistic Trait Severity: A Quantitative Analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Castelbaum%2C+Lauren%22">Castelbaum, Lauren</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sylvester%2C+Chad+M%2E%22">Sylvester, Chad M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yi%22">Zhang, Yi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Qiongru%22">Yu, Qiongru</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Constantino%2C+John+N%2E%22">Constantino, John N.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Behavior+Genetics%22">Behavior Genetics</searchLink>. Jul2020, Vol. 50 Issue 4, p263-272. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Twins%22">Twins</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Autism+spectrum+disorders%22">Autism spectrum disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Twin+studies%22">Twin studies</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The characterizing features of autism spectrum disorder (ASD) are continuously distributed in nature; however, prior twin studies have not systematically incorporated this knowledge into estimations of concordance and discordance. We conducted a quantitative analysis of twin–twin similarity for autistic trait severity in three existing data sets involving 366 pairs of uniformly-phenotyped monozygotic (MZ) twins with and without ASD. Probandwise concordance for ASD was 96%; however, MZ trait correlations differed markedly for pairs with ASD trait burden below versus above the threshold for clinical diagnosis, with R2s on the order of 0.6 versus 0.1, respectively. Categorical MZ twin discordance for ASD diagnosis is rare and more appropriately operationalized by standardized quantification of twin–twin differences. Here we provide new evidence that although ASD itself is highly heritable, variation-in-severity of symptomatology above the diagnostic threshold is substantially influenced, in contrast, by non-shared environmental factors which may identify novel targets of early ASD amelioration. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Behavior Genetics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=144520968 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10519-019-09987-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 263 Subjects: – SubjectFull: Twins Type: general – SubjectFull: Quantitative research Type: general – SubjectFull: Autism spectrum disorders Type: general – SubjectFull: Twin studies Type: general Titles: – TitleFull: On the Nature of Monozygotic Twin Concordance and Discordance for Autistic Trait Severity: A Quantitative Analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Castelbaum, Lauren – PersonEntity: Name: NameFull: Sylvester, Chad M. – PersonEntity: Name: NameFull: Zhang, Yi – PersonEntity: Name: NameFull: Yu, Qiongru – PersonEntity: Name: NameFull: Constantino, John N. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 00018244 Numbering: – Type: volume Value: 50 – Type: issue Value: 4 Titles: – TitleFull: Behavior Genetics Type: main |
| ResultId | 1 |