Discovery of eQTL Alleles Associated with Autism Spectrum Disorder: A Case–Control Study.
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| Title: | Discovery of eQTL Alleles Associated with Autism Spectrum Disorder: A Case–Control Study. |
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| Authors: | Hickman, Allison R., Selee, Bradley, Pauly, Rini, Husain, Benafsh, Hang, Yuqing, Feltus, Frank Alex |
| Source: | Journal of Autism & Developmental Disorders. Sep2023, Vol. 53 Issue 9, p3595-3612. 18p. 2 Diagrams, 4 Charts, 4 Graphs. |
| Subjects: | Genetics of autism, Brain, Alleles, Case-control method, Race, Fisher exact test, Gene expression, Sex distribution, Genotypes, Genetic markers, Descriptive statistics, Artificial neural networks, Secondary analysis |
| Abstract: | Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder characterized by challenges in social communication as well as repetitive or restrictive behaviors. Many genetic associations with ASD have been identified, but most associations occur in a fraction of the ASD population. Here, we searched for eQTL-associated DNA variants with significantly different allele distributions between ASD-affected and control. Thirty significant DNA variants associated with 174 tissue-specific eQTLs from ASD individuals in the SPARK project were identified. Several significant variants fell within brain-specific regulatory regions or had been associated with a significant change in gene expression in the brain. These eQTLs are a new class of biomarkers that could control the myriad of brain and non-brain phenotypic traits seen in ASD-affected individuals. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Autism & Developmental Disorders 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 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 170899323 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Discovery of eQTL Alleles Associated with Autism Spectrum Disorder: A Case–Control Study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hickman%2C+Allison+R%2E%22">Hickman, Allison R.</searchLink><br /><searchLink fieldCode="AR" term="%22Selee%2C+Bradley%22">Selee, Bradley</searchLink><br /><searchLink fieldCode="AR" term="%22Pauly%2C+Rini%22">Pauly, Rini</searchLink><br /><searchLink fieldCode="AR" term="%22Husain%2C+Benafsh%22">Husain, Benafsh</searchLink><br /><searchLink fieldCode="AR" term="%22Hang%2C+Yuqing%22">Hang, Yuqing</searchLink><br /><searchLink fieldCode="AR" term="%22Feltus%2C+Frank+Alex%22">Feltus, Frank Alex</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Autism+%26+Developmental+Disorders%22">Journal of Autism & Developmental Disorders</searchLink>. Sep2023, Vol. 53 Issue 9, p3595-3612. 18p. 2 Diagrams, 4 Charts, 4 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Genetics+of+autism%22">Genetics of autism</searchLink><br /><searchLink fieldCode="DE" term="%22Brain%22">Brain</searchLink><br /><searchLink fieldCode="DE" term="%22Alleles%22">Alleles</searchLink><br /><searchLink fieldCode="DE" term="%22Case-control+method%22">Case-control method</searchLink><br /><searchLink fieldCode="DE" term="%22Race%22">Race</searchLink><br /><searchLink fieldCode="DE" term="%22Fisher+exact+test%22">Fisher exact test</searchLink><br /><searchLink fieldCode="DE" term="%22Gene+expression%22">Gene expression</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Genotypes%22">Genotypes</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+markers%22">Genetic markers</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22Secondary+analysis%22">Secondary analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder characterized by challenges in social communication as well as repetitive or restrictive behaviors. Many genetic associations with ASD have been identified, but most associations occur in a fraction of the ASD population. Here, we searched for eQTL-associated DNA variants with significantly different allele distributions between ASD-affected and control. Thirty significant DNA variants associated with 174 tissue-specific eQTLs from ASD individuals in the SPARK project were identified. Several significant variants fell within brain-specific regulatory regions or had been associated with a significant change in gene expression in the brain. These eQTLs are a new class of biomarkers that could control the myriad of brain and non-brain phenotypic traits seen in ASD-affected individuals. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Autism & Developmental Disorders 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10803-022-05631-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 3595 Subjects: – SubjectFull: Genetics of autism Type: general – SubjectFull: Brain Type: general – SubjectFull: Alleles Type: general – SubjectFull: Case-control method Type: general – SubjectFull: Race Type: general – SubjectFull: Fisher exact test Type: general – SubjectFull: Gene expression Type: general – SubjectFull: Sex distribution Type: general – SubjectFull: Genotypes Type: general – SubjectFull: Genetic markers Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Artificial neural networks Type: general – SubjectFull: Secondary analysis Type: general Titles: – TitleFull: Discovery of eQTL Alleles Associated with Autism Spectrum Disorder: A Case–Control Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hickman, Allison R. – PersonEntity: Name: NameFull: Selee, Bradley – PersonEntity: Name: NameFull: Pauly, Rini – PersonEntity: Name: NameFull: Husain, Benafsh – PersonEntity: Name: NameFull: Hang, Yuqing – PersonEntity: Name: NameFull: Feltus, Frank Alex IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 01623257 Numbering: – Type: volume Value: 53 – Type: issue Value: 9 Titles: – TitleFull: Journal of Autism & Developmental Disorders Type: main |
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