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Autism Spectrum Disorder

Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
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Modeling in Therapy

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
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Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Social Anxiety Disorder

Social Anxiety Disorder

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Related Experiment Video

Updated: May 7, 2026

Paradigms for Behavioral Assessment in Drosophila Model of Autism Spectrum Disorder

Paradigms for Behavioral Assessment in Drosophila Model of Autism Spectrum Disorder

Published on: September 6, 2024

SFARI Gene 2.0: a community-driven knowledgebase for the autism spectrum disorders (ASDs).

Brett S Abrahams¹, Dan E Arking², Daniel B Campbell³

¹Departments of Genetics and Neuroscience, Albert Einstein College of Medicine, Bronx, NY, USA.

Molecular Autism

|October 5, 2013

Summary

Scientists have developed a new Gene Scoring module to help evaluate autism spectrum disorder (ASD) candidate genes. This tool simplifies complex genetic data, aiding researchers in assessing evidence for individual genes related to ASD.

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Area of Science:

Genetics
Neuroscience
Bioinformatics

Background:

Genome-wide studies have identified numerous autism spectrum disorder (ASD) candidate genes.
The increasing volume and complexity of genetic data pose challenges for comprehensive evidence evaluation, especially for non-geneticists.
Systematic assessment of genetic evidence for ASD is crucial for advancing research.

Purpose of the Study:

To introduce the Gene Scoring module within SFARI Gene 2.0.
To provide a platform for community-driven assessment of genetic evidence for ASD.
To facilitate the evaluation of individual genes implicated in autism spectrum disorder.

Main Methods:

Development of the Gene Scoring module within the SFARI Gene 2.0 platform.
Implementation of a systematic, community-driven approach for assessing genetic evidence.
Focus on evaluating individual candidate genes associated with ASD.

Main Results:

The Gene Scoring module offers a structured approach to evaluating genetic evidence for ASD.
The platform enables a comprehensive assessment of candidate genes relevant to autism spectrum disorder.
Facilitates easier interpretation of complex genetic findings for a wider scientific audience.

Conclusions:

The Gene Scoring module simplifies the evaluation of ASD candidate genes.
SFARI Gene 2.0 provides a valuable resource for the scientific community to assess genetic links to autism.
Enhanced understanding of genetic factors in ASD is facilitated by systematic evidence assessment tools.