New Research Sorting Out Risk Genes for Brain Disorders
By LabMedica International staff writers Posted on 09 Mar 2017 |

Image
Using targeted gene sequencing in a large cohort population, researchers have discovered genes associated with higher risk of neurodevelopmental-disorders (NDDs), with some of those genes showing statistical biases for autism. The study provides new information about similarities and differences underlying various NDDs.
To identify and better understand gene-disrupting mutations related to NDDs, a team led by researchers of the laboratory of Evan Eichler, University of Washington Health Sciences/UW Medicine and Howard Hughes Medical Institute, conducted a large, international, multi-institutional study. More than 11,700 affected individuals and nearly 2,800 control subjects underwent targeted DNA sequencing of 208 suspected disease-risk genes, candidate genes that were chosen based on previously published studies. Samples were collected through the Autism Spectrum/Intellectual Disability 15-center network spanning 7 countries and 4 continents. An advantage of this collection is the ability to check back on a large fraction of cases in attempt to relate genetic results to clinical findings.
In their study population, the researchers associated 91 genes with risk of a NDD, including 38 genes not previously suspected. Based on some of the family studies, however, mutations even in two or more of the risk genes may not be necessary or sufficient to cause disease.
Of the 91 genes, 25 were linked with forms of autism without intellectual disability. The scientists also described a gene network that appeared to be related to high-functioning autism. Individuals with this form of autism have average to above average intelligence, but may struggle in learning to talk, interact socially, or manage anxiety and sensory overload. Additional findings suggest that less severe mutations may be behind autism that is not accompanied by intellectual disability. Also notable, although the overall numbers were low, was that several autism risk genes appeared predominantly in males, including some detected exclusively in males who had autism without intellectual impairment.
While observing that some genes were more closely associated with autism and others with intellectual or developmental impairments, the researchers found that most of the genes implicated were mutated in both conditions. This result reinforces previous studies indicating substantial overlap among NDDs in their underlying genetics and observable characteristics.
"Most of these genes are clearly risk factors for neurodevelopmental disorders in a broad sense," the researchers said, "But analysis of both the genetic and subsequent patient follow-up data did single out some genes with a statistical bias towards autism spectrum disorder, rather than an intellectual disability or developmental delay." By combining clinical and genetic data, the researchers observed patterns enabling them to begin to assess how some of the genes might function and how their disruption might lead to specific traits or symptoms.
The researchers also used Drosophila to investigate 21 genes to determine if any of the mutations disrupted a specific form of learning: habituation – growing accustomed to harmless stimuli. Problems with the neuronal mechanisms behind habituation are thought to account for some autism features, such as inability to filter sensory input. The Drosophila studies showed habituation deficits from several of the gene mutations under review, thereby providing additional evidence that they may have a role in cognitive function.
"The scientists are continuing this project and are eager to work with interested families," said University of Washington Prof. Raphael Bernier, clinical director of the Seattle Children's Autism Center. Families can contact the project team at rablab@uw.edu.
The study, by Stessman HAF et al, was published online February 13, 2017, in the journal Nature Genetics.
To identify and better understand gene-disrupting mutations related to NDDs, a team led by researchers of the laboratory of Evan Eichler, University of Washington Health Sciences/UW Medicine and Howard Hughes Medical Institute, conducted a large, international, multi-institutional study. More than 11,700 affected individuals and nearly 2,800 control subjects underwent targeted DNA sequencing of 208 suspected disease-risk genes, candidate genes that were chosen based on previously published studies. Samples were collected through the Autism Spectrum/Intellectual Disability 15-center network spanning 7 countries and 4 continents. An advantage of this collection is the ability to check back on a large fraction of cases in attempt to relate genetic results to clinical findings.
In their study population, the researchers associated 91 genes with risk of a NDD, including 38 genes not previously suspected. Based on some of the family studies, however, mutations even in two or more of the risk genes may not be necessary or sufficient to cause disease.
Of the 91 genes, 25 were linked with forms of autism without intellectual disability. The scientists also described a gene network that appeared to be related to high-functioning autism. Individuals with this form of autism have average to above average intelligence, but may struggle in learning to talk, interact socially, or manage anxiety and sensory overload. Additional findings suggest that less severe mutations may be behind autism that is not accompanied by intellectual disability. Also notable, although the overall numbers were low, was that several autism risk genes appeared predominantly in males, including some detected exclusively in males who had autism without intellectual impairment.
While observing that some genes were more closely associated with autism and others with intellectual or developmental impairments, the researchers found that most of the genes implicated were mutated in both conditions. This result reinforces previous studies indicating substantial overlap among NDDs in their underlying genetics and observable characteristics.
"Most of these genes are clearly risk factors for neurodevelopmental disorders in a broad sense," the researchers said, "But analysis of both the genetic and subsequent patient follow-up data did single out some genes with a statistical bias towards autism spectrum disorder, rather than an intellectual disability or developmental delay." By combining clinical and genetic data, the researchers observed patterns enabling them to begin to assess how some of the genes might function and how their disruption might lead to specific traits or symptoms.
The researchers also used Drosophila to investigate 21 genes to determine if any of the mutations disrupted a specific form of learning: habituation – growing accustomed to harmless stimuli. Problems with the neuronal mechanisms behind habituation are thought to account for some autism features, such as inability to filter sensory input. The Drosophila studies showed habituation deficits from several of the gene mutations under review, thereby providing additional evidence that they may have a role in cognitive function.
"The scientists are continuing this project and are eager to work with interested families," said University of Washington Prof. Raphael Bernier, clinical director of the Seattle Children's Autism Center. Families can contact the project team at rablab@uw.edu.
The study, by Stessman HAF et al, was published online February 13, 2017, in the journal Nature Genetics.
Latest Molecular Diagnostics News
- DNA Methylation Signatures of Aging Could Help Assess Mortality Risk
- Molecular Diagnostics System Provides Lab-Quality Results at POC
- Cellular Signature Identifies Patients with Treatment Resistant Prostate Tumors
- MCED Could Be Valuable Supplement to Traditional Cancer Screening Approaches
- Newly-Cleared Technology a Game Changer for Diagnosis of Lyme Disease
- Innovative Liquid Biopsy Test Uses RNA to Detect Early-Stage Cancer
- Rapid Tests for Chagas Disease Improves Diagnostic Access
- Simple Blood Test to Predict Alzheimer’s Clinical Progression in Earliest Stages
- Saliva Test Could Identify People Genetically Susceptible to Type 2 Diabetes
- Pioneering Analyzer with Advanced Biochip Technology Sets New Standard in Lab Diagnostics
- RNA-Seq Based Diagnostic Test Enhances Diagnostic Accuracy of Pediatric Leukemia
- New Technique for Measuring Acidic Glycan in Blood Simplifies Schizophrenia Diagnosis
- Injury Molecular Fingerprint Enables Real-Time Diagnostics for On-Site Treatment
- Blood Test Could Predict Likelihood of Breast Cancer Spreading to The Bone
- New Infectious Disease Analytics Platform Speeds Up Clinical Decision-Making at POC
- Genetic Test Could Predict Poor Outcomes in Lung Transplant Patients
Channels
Clinical Chemistry
view channel
New Clinical Chemistry Analyzer Designed to Meet Growing Demands of Modern Labs
A new clinical chemistry analyzer is designed to provide outstanding performance and maximum efficiency, without compromising affordability, to meet the growing demands of modern laboratories.... Read more
New Reference Measurement Procedure Standardizes Nucleic Acid Amplification Test Results
Nucleic acid amplification tests (NAATs) play a key role in diagnosing a wide range of infectious diseases. These tests are generally known for their high sensitivity and specificity, and they can be developed... Read moreHematology
view channel
Disposable Cartridge-Based Test Delivers Rapid and Accurate CBC Results
Complete Blood Count (CBC) is one of the most commonly ordered lab tests, crucial for diagnosing diseases, monitoring therapies, and conducting routine health screenings. However, more than 90% of physician... Read more
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 moreImmunology
view channel
Evolutionary Clinical Trial to Identify Novel Biomarker-Driven Therapies for Metastatic Breast Cancer
Metastatic breast cancer, which occurs when cancer spreads from the breast to other parts of the body, is one of the most difficult cancers to treat. Nearly 90% of patients with metastatic cancer will... Read more
Groundbreaking Lateral Flow Test Quantifies Nucleosomes in Whole Venous Blood in Minutes
Diagnosing immune disruptions quickly and accurately is crucial in conditions such as sepsis, where timely intervention is critical for patient survival. Traditional testing methods can be slow, expensive,... Read moreMicrobiology
view channel
Viral Load Tests Can Help Predict Mpox Severity
Mpox is a viral infection that causes flu-like symptoms and a characteristic rash, which evolves significantly over time and varies between patients. The disease spreads mainly through direct contact with... Read more
Gut Microbiota Analysis Enables Early and Non-Invasive Detection of Gestational Diabetes
Gestational diabetes mellitus is a common metabolic disorder marked by abnormal glucose metabolism during pregnancy, typically emerging in the mid to late stages. It significantly heightens the risk of... Read morePathology
view channel
AI Accurately Predicts Genetic Mutations from Routine Pathology Slides for Faster Cancer Care
Current cancer treatment decisions are often guided by genetic testing, which can be expensive, time-consuming, and not always available at leading hospitals. For patients with lung adenocarcinoma, a critical... Read more
AI Tool Enhances Interpretation of Tissue Samples by Pathologists
Malignant melanoma, a form of skin cancer, is diagnosed by pathologists based on tissue samples. A crucial aspect of this process is estimating the presence of tumor-infiltrating lymphocytes (TILs), immune... Read more
AI-Assisted Technique Tracks Cells Damaged from Injury, Aging and Disease
Senescent cells, which stop growing and reproducing due to injury, aging, or disease, play a critical role in wound repair and aging-related diseases like cancer and heart disease. These cells, however,... Read more
Novel Fluorescent Probe Shows Potential in Precision Cancer Diagnostics and Fluorescence-Guided Surgery
Hepatocellular carcinoma (HCC), a common type of liver cancer, is difficult to diagnose early and accurately due to the limitations of current diagnostic methods. Glycans, carbohydrate structures present... Read moreTechnology
view channel
Multifunctional Nanomaterial Simultaneously Performs Cancer Diagnosis, Treatment, and Immune Activation
Cancer treatments, including surgery, radiation therapy, and chemotherapy, have significant limitations. These treatments not only target cancerous areas but also damage healthy tissues, causing side effects... Read more
Ultra-Sensitive Biosensor Based on Light and AI Enables Early Cancer Diagnosis
Cancer diagnosis is often delayed due to the difficulty in detecting early-stage cancer markers. In particular, the concentration of methylated DNA in the bloodstream during the early stages of cancer... Read moreIndustry
view channel
Quanterix Completes Acquisition of Akoya Biosciences
Quanterix Corporation (Billerica, MA, USA) has completed its previously announced acquisition of Akoya Biosciences (Marlborough, MA, USA), paving the way for the creation of the first integrated solution... Read more
Lunit and Microsoft Collaborate to Advance AI-Driven Cancer Diagnosis
Lunit (Seoul, South Korea) and Microsoft (Redmond, WA, USA) have entered into a collaboration to accelerate the delivery of artificial intelligence (AI)-powered healthcare solutions. In conjunction with... Read more