Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Events

10 Feb 2026 - 13 Feb 2026
17 Apr 2026 - 21 Apr 2026

Genetic Biomarkers Associated with Autism Spectrum Disorders Identified

By LabMedica International staff writers
Posted on 17 Dec 2019
Autism spectrum disorder (ASD) refers to a group of neurodevelopmental conditions resulting in challenges related to communication, social understanding and behavior. More...
Studies show families who have a child with ASD have a 6.9% to 19.5% chance of another child having ASD and a 30% to 40% chance of another child having atypical development.

One of the key priorities of interventions for autism spectrum disorder (ASD) is starting early, with some evidence showing infants as young as seven months old could benefit. Yet, most children in North America are not diagnosed with ASD until they're over four years of age. Identification of genetic biomarkers associated with ASDs could improve recurrence prediction for families with a child with ASD.

A group of scientists collaborating with the Hospital for Sick Children (Toronto, ON, Canada) enrolled in a study, participants from 253 families enrolled (134 from USA sites and 119 from Canada). A total of 253 probands, 322 siblings (including 288 infant siblings), and 447 parents (242 mothers; 205 fathers) constituted the final cohort and were analyzed. All families had at least one child (i.e., the proband) diagnosed with ASD.

For microarray analysis, biological samples were obtained from 251 probands, 321 siblings and 444 parents (241 mothers; 203 fathers) at their respective recruiting sites (total samples = 1,016). Genomic DNA used for genotyping on microarray was extracted from whole blood (86.0%; 874/1,016 samples), saliva (0.4%; 4/1,016), lymphoblastoid cell lines (10.4%; 106/1,016), or source undocumented (3.1%; 32/1,016). Genomic DNA samples were processed on the high-density CytoScan HD microarray platform (Affymetrix, Santa Clara, CA, USA).

The team reported that the clinical microarray findings for 253 longitudinally phenotyped ASD families, encompassing 288 infant siblings showed that by age 3, 103 siblings (35.8%) were diagnosed with ASD and 54 (18.8%) were developing atypically. Thirteen siblings have copy number variants (CNVs) involving ASD-relevant genes: six with ASD, five atypically developing, and two typically developing. Within these families, an ASD-related CNV in a sibling has a positive predictive value (PPV) for ASD or atypical development of 0.83. The team has confirmed similar findings in a separate group of 2,110 families having one child with, and a second child without ASD.

Lonnie Zwaigenbaum, MD, FRCP (C), a Professor of Pediatrics and a senior study author, said, “These findings add to a growing body of evidence that biomarkers might be helpful in identifying pre-symptomatic infants who are likely to develop ASD or other developmental challenges.” The study was published on December 5, 2019 in the journal Nature Communication.

Related Links:
Hospital for Sick Children
Affymetrix



Gold Member
Respiratory Syncytial Virus Test
OSOM® RSV Test
POC Helicobacter Pylori Test Kit
Hepy Urease Test
Automatic CLIA Analyzer
Shine i9000
Autoimmune Liver Diseases Assay
Microblot-Array Liver Profile Kit
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Immunology

view channel
Image: Circulating tumor cells isolated from blood samples could help guide immunotherapy decisions (Photo courtesy of Shutterstock)

Blood Test Identifies Lung Cancer Patients Who Can Benefit from Immunotherapy Drug

Small cell lung cancer (SCLC) is an aggressive disease with limited treatment options, and even newly approved immunotherapies do not benefit all patients. While immunotherapy can extend survival for some,... Read more

Microbiology

view channel
Image: New evidence suggests that imbalances in the gut microbiome may contribute to the onset and progression of MCI and Alzheimer’s disease (Photo courtesy of Adobe Stock)

Comprehensive Review Identifies Gut Microbiome Signatures Associated With Alzheimer’s Disease

Alzheimer’s disease affects approximately 6.7 million people in the United States and nearly 50 million worldwide, yet early cognitive decline remains difficult to characterize. Increasing evidence suggests... Read more

Technology

view channel
Image: Vitestro has shared a detailed visual explanation of its Autonomous Robotic Phlebotomy Device (photo courtesy of Vitestro)

Robotic Technology Unveiled for Automated Diagnostic Blood Draws

Routine diagnostic blood collection is a high‑volume task that can strain staffing and introduce human‑dependent variability, with downstream implications for sample quality and patient experience.... Read more

Industry

view channel
Image: Roche’s cobas® Mass Spec solution enables fully automated mass spectrometry in routine clinical laboratories (Photo courtesy of Roche)

New Collaboration Brings Automated Mass Spectrometry to Routine Laboratory Testing

Mass spectrometry is a powerful analytical technique that identifies and quantifies molecules based on their mass and electrical charge. Its high selectivity, sensitivity, and accuracy make it indispensable... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.