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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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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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Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
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Genetic Screens02:46

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
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Human Genetics01:28

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
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Autism Spectrum Disorder01:19

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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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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Inference of Autism Risk Genes Through Comparative Sociogenomics and Molecular Network Analysis.

Alice Chiodi1, Ettore Mosca1, Francesca Anna Cupaioli1

  • 1National Research Council-Institute for Biomedical Technologies (CNR-ITB), Via Fratelli Cervi, 93, 20054 Segrate, Italy.

Genes
|May 4, 2026
PubMed
Summary
This summary is machine-generated.

Researchers identified a network of 240 genes linked to autism, uncovering potential genetic biomarkers for the neurodevelopmental disorder. Key genes like MED12, FZD9, and DMD show promise for future research and understanding autism risk.

Keywords:
autism spectrum disordersbioinformaticsbiostatisticscomparative genomicsgene mappinggene networkgene pathwayssocial behavior

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Area of Science:

  • Comparative sociogenomics
  • Neurogenetics
  • Evolutionary biology

Background:

  • Sociogenomics integrates multiple fields to study the genetic basis of social behavior across species.
  • Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by social and communication deficits.

Purpose of the Study:

  • To uncover the genetic roots of human sociability.
  • To identify potential genetic implications for autism.

Main Methods:

  • Molecular network analysis of 659 sociability-related genes from various species, including humans.
  • Identification and functional grouping of genes associated with autism.

Main Results:

  • A network of 240 genes strongly associated with autism (p < 10^-15) was identified, with 194 inferred.
  • Genes clustered into 23 functional communities related to cell-cell junctions, signaling pathways, and neurotransmitter receptors.
  • Nine chromosomal bands showed enrichment of network genes, suggesting functional cooperation and shared evolutionary history.

Conclusions:

  • MED12, FZD9, and DMD are compelling inferred autism risk genes due to differential expression, physical linkage to key autism genes, or association with human-accelerated regions.
  • These genes could serve as novel biomarkers for autism.
  • Findings advance the understanding of the genetic underpinnings of autism.