Large Number of Genes Linked to Risk of Developing Autism Spectrum Disorder
By LabMedica International staff writers Posted on 03 Feb 2020 |

Illustration
A large exome sequencing study of autism spectrum disorder identified 102 genes associated with risk for autism.
Autism spectrum disorder (ASD) comprises a range of neurodevelopmental mental disorders including autism and Asperger syndrome. Individuals “on the spectrum” often experience difficulties with social communication and interaction, and they often display restricted, repetitive patterns of behavior, interests, or activities.
Symptoms of ASD are typically recognized between one and two years of age. Long-term problems may include difficulties in performing daily tasks, creating and keeping relationships, and maintaining a job. ASD is usually diagnosed by subjective observation of clinical symptoms, and no reliable, practical, and objective markers of prognosis currently exist. Hundreds of genes have been implicated in ASD, but the mechanisms through which they contribute to the disorder have not been well defined.
To better understand the genetics that underpin ASD, investigators from more than 50 institutions collected and analyzed 35,584 participant samples, including 11,986 from individuals with ASD.
Using an enhanced analytical framework to integrate de novo and case-control rare variation, the investigators identified 102 risk genes at a false discovery rate of 0.1 or less. Of these genes, 49 showed higher frequencies of disruptive de novo variants in individuals ascertained to have severe neurodevelopmental delay, whereas 53 showed higher frequencies in individuals ascertained to have ASD.
Expressed early in brain development, most risk genes had roles in regulation of gene expression or neuronal communication (i.e., mutations effect neurodevelopmental and neurophysiological changes), and 13 fell within loci recurrently hit by copy number variants. In cells from the human cortex, expression of risk genes was enriched in excitatory and inhibitory neuronal lineages, consistent with multiple paths to an excitatory-inhibitory imbalance underlying ASD.
"This is a landmark study, both for its size and for the large international collaborative effort it required. With these identified genes we can begin to understand what brain changes underlie ASD and begin to consider novel treatment approaches," said senior author Dr. Joseph D. Buxbaum, professor of psychiatry, neuroscience, and genetics and genomic sciences at the Mount Sinai School of Medicine (New York, NY, USA).
"Through our genetic analyses, we discovered that it is not just one major class of cells implicated in autism, but rather that many disruptions in brain development and in neuronal function can lead to autism," said Dr. Buxbaum. "It is critically important that families of children with and without autism participate in genetic studies because genetic discoveries are the primary means to understanding the molecular, cellular, and systems-level underpinnings of autism. We now have specific, powerful tools that help us understand those underpinnings, and new drugs will be developed based on our newfound understanding of the molecular bases of autism."
The ASD genetics study was published in the January 23, 2020 online edition of the journal Cell.
Related Links:
Mount Sinai School of Medicine
Autism spectrum disorder (ASD) comprises a range of neurodevelopmental mental disorders including autism and Asperger syndrome. Individuals “on the spectrum” often experience difficulties with social communication and interaction, and they often display restricted, repetitive patterns of behavior, interests, or activities.
Symptoms of ASD are typically recognized between one and two years of age. Long-term problems may include difficulties in performing daily tasks, creating and keeping relationships, and maintaining a job. ASD is usually diagnosed by subjective observation of clinical symptoms, and no reliable, practical, and objective markers of prognosis currently exist. Hundreds of genes have been implicated in ASD, but the mechanisms through which they contribute to the disorder have not been well defined.
To better understand the genetics that underpin ASD, investigators from more than 50 institutions collected and analyzed 35,584 participant samples, including 11,986 from individuals with ASD.
Using an enhanced analytical framework to integrate de novo and case-control rare variation, the investigators identified 102 risk genes at a false discovery rate of 0.1 or less. Of these genes, 49 showed higher frequencies of disruptive de novo variants in individuals ascertained to have severe neurodevelopmental delay, whereas 53 showed higher frequencies in individuals ascertained to have ASD.
Expressed early in brain development, most risk genes had roles in regulation of gene expression or neuronal communication (i.e., mutations effect neurodevelopmental and neurophysiological changes), and 13 fell within loci recurrently hit by copy number variants. In cells from the human cortex, expression of risk genes was enriched in excitatory and inhibitory neuronal lineages, consistent with multiple paths to an excitatory-inhibitory imbalance underlying ASD.
"This is a landmark study, both for its size and for the large international collaborative effort it required. With these identified genes we can begin to understand what brain changes underlie ASD and begin to consider novel treatment approaches," said senior author Dr. Joseph D. Buxbaum, professor of psychiatry, neuroscience, and genetics and genomic sciences at the Mount Sinai School of Medicine (New York, NY, USA).
"Through our genetic analyses, we discovered that it is not just one major class of cells implicated in autism, but rather that many disruptions in brain development and in neuronal function can lead to autism," said Dr. Buxbaum. "It is critically important that families of children with and without autism participate in genetic studies because genetic discoveries are the primary means to understanding the molecular, cellular, and systems-level underpinnings of autism. We now have specific, powerful tools that help us understand those underpinnings, and new drugs will be developed based on our newfound understanding of the molecular bases of autism."
The ASD genetics study was published in the January 23, 2020 online edition of the journal Cell.
Related Links:
Mount Sinai School of Medicine
Latest Molecular Diagnostics News
- First-in-Class Diagnostic Blood Test Detects Axial Spondyloarthritis
- New Molecular Label to Help Develop Simpler and Faster Tuberculosis Tests
- Biomarker Discovery Paves Way for Blood Tests to Detect and Treat Osteoarthritis
- Liquid Biopsy Assay Detects Recurrence in CRC Patients Prior to Imaging
- Ultra Fast Synovial Fluid Test Diagnoses Osteoarthritis and Rheumatoid Arthritis In 10 Minutes
- Genetic-Based Tool Predicts Survival Outcomes of Pancreatic Cancer Patients
- Urine Test Diagnoses Early-Stage Prostate Cancer
- New Genetic Tool Analyzes Umbilical Cord Blood to Predict Future Disease
- Spinal Fluid Biomarker for Parkinson’s Disease Offers Early and Accurate Diagnosis
- Revolutionary Blood Test Detects 30 Different Types of Cancers with 98% Accuracy
- Simple Blood Test Better Predicts Heart Disease Risk
- New Blood Test Detects 12 Common Cancers Before Symptoms Appear
- Blood Test Could Predict Relapse of Autoimmune Blood Vessel Disease
- First-of-its-Kind Blood Test Detects Trauma-Related Diseases
- Key Gene Identified in Common Heart Disease Unlocks Life-Saving Diagnostic Potential
- Cheap Cell-Free DNA Based Test Accurately Predicts Preterm Birth
Channels
Clinical Chemistry
view channelMass Spectrometry Detects Bacteria Without Time-Consuming Isolation and Multiplication
Speed and accuracy are essential when diagnosing diseases. Traditionally, diagnosing bacterial infections involves the labor-intensive process of isolating pathogens and cultivating bacterial cultures,... Read more
First Comprehensive Syphilis Test to Definitively Diagnose Active Infection In 10 Minutes
In the United States, syphilis cases have surged by nearly 80% from 2018 to 2023, with 209,253 cases recorded in the most recent year of data. Syphilis, which can be transmitted sexually or from mother... Read more
Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse
Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read moreHematology
view channel
First Point-of-Care Heparin Monitoring Test Provides Results in Under 15 Minutes
Heparin dosing requires careful management to avoid both bleeding and clotting complications. In high-risk situations like extracorporeal membrane oxygenation (ECMO), mortality rates can reach about 50%,... Read more
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
New Test Diagnoses Bacterial Meningitis Quickly and Accurately
Bacterial meningitis is a potentially fatal condition, with one in six patients dying and half of the survivors experiencing lasting symptoms. Therefore, rapid diagnosis and treatment are critical.... Read more
Handheld Device Delivers Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read morePathology
view channel
Groundbreaking Chest Pain Triage Algorithm to Transform Cardiac Care
Cardiovascular disease is responsible for a third of all deaths worldwide, and chest pain is the second most common reason for emergency department (ED) visits. With EDs often being some of the busiest... Read more
AI-Based Liquid Biopsy Approach to Revolutionize Brain Cancer Detection
Detecting brain cancers remains extremely challenging, with many patients only receiving a diagnosis at later stages after symptoms like headaches, seizures, or cognitive issues appear. Late-stage diagnoses... Read moreTechnology
view channel
Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer
Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more
Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses
Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more
Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples
As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more