New Genetic Risk Factors Identified for Peanut Allergy
|
By LabMedica International staff writers Posted on 25 Oct 2017 |

Image: Whole genome genotyping arrays are an important tool for discovering variants that contribute to human disease (Photo courtesy of Megan Smolenyak, MBA).
Peanut allergy develops in early life and is rarely outgrown. Roughly 1% of Canadian adults and between 2% and 3% of Canadian children are affected, and the symptoms can be severe and even life threatening.
A new gene associated with peanut allergy has been revealed, offering further evidence that genes play a role in the development of food allergies and opening the door to future studies, improved diagnostics and new treatment options.
An international team of scientists collaborating with those at the University of British Columbia (Vancouver, BC, Canada) scanned more than 7.5 million genetic locations in the DNA of 850 people with peanut allergy and nearly 1,000 people without it, through a genome-wide association study (GWAS), to search for markers that might be linked to food allergy. They recruited the peanut allergy participants from the Canadian Peanut Allergy Registry. The team also conducted a fresh analysis of results pooled from six other genetic studies of populations in North America, Australia, Germany, and the Netherlands. Genotyping of 1,974 individuals (987 cases, 987 controls) was conducted on the Illumina Omni 2.5M+Exome 8v1.1 chip.
The scientists reported that their study is the first to associate the EMSY, BRCA2 Interacting Transcriptional Repressor (EMSY) locus with food allergy, and these findings suggest that the gene plays an important role in the development of not just food allergy but also general allergic predisposition. The gene, called c11orf30/EMSY (EMSY), is already known to play a role in other allergy-related conditions, such as eczema, asthma, and allergic rhinitis. The team also found evidence that five other genetic locations might be involved.
Denise Daley, PhD, an associate professor and senior author of the study, said, “Food allergy is the result of both genetic and environmental factors, but there are surprisingly few data regarding the genetic basis of this condition. The discovery of this genetic link gives us a fuller picture of the causes of food allergies, and this could eventually help doctors identify children at risk.” The study was published on November 10, 2017, in the Journal of Allergy and Clinical Immunology.
Related Links:
University of British Columbia
A new gene associated with peanut allergy has been revealed, offering further evidence that genes play a role in the development of food allergies and opening the door to future studies, improved diagnostics and new treatment options.
An international team of scientists collaborating with those at the University of British Columbia (Vancouver, BC, Canada) scanned more than 7.5 million genetic locations in the DNA of 850 people with peanut allergy and nearly 1,000 people without it, through a genome-wide association study (GWAS), to search for markers that might be linked to food allergy. They recruited the peanut allergy participants from the Canadian Peanut Allergy Registry. The team also conducted a fresh analysis of results pooled from six other genetic studies of populations in North America, Australia, Germany, and the Netherlands. Genotyping of 1,974 individuals (987 cases, 987 controls) was conducted on the Illumina Omni 2.5M+Exome 8v1.1 chip.
The scientists reported that their study is the first to associate the EMSY, BRCA2 Interacting Transcriptional Repressor (EMSY) locus with food allergy, and these findings suggest that the gene plays an important role in the development of not just food allergy but also general allergic predisposition. The gene, called c11orf30/EMSY (EMSY), is already known to play a role in other allergy-related conditions, such as eczema, asthma, and allergic rhinitis. The team also found evidence that five other genetic locations might be involved.
Denise Daley, PhD, an associate professor and senior author of the study, said, “Food allergy is the result of both genetic and environmental factors, but there are surprisingly few data regarding the genetic basis of this condition. The discovery of this genetic link gives us a fuller picture of the causes of food allergies, and this could eventually help doctors identify children at risk.” The study was published on November 10, 2017, in the Journal of Allergy and Clinical Immunology.
Related Links:
University of British Columbia
Latest Molecular Diagnostics News
- Gene Fusion Patterns May Flag High Risk Solitary Fibrous Tumors
- New RNA Origami Method Supports Faster Targeted Testing for Repeat Expansion Disorders
- FDA Approves Expanded Liquid Biopsy Panel for Advanced Cancer Profiling
- Microbial Saliva Test Could Help Triage Esophageal Cancer Risk
- Expanded DPYD Genotyping Test Supports Safer Chemotherapy Dosing
- Blood Test Detects Early Nonresponse in Metastatic Prostate Cancer
- Multi-Omics Profiling Helps Predict BCG Response and Recurrence in Bladder Cancer
- New Computational Tool Reveals Genetic Driver of Idiopathic Neuropathy
- Breast Cancer-Specific Signatures Link Genome Instability to Outcomes
- FDA-Cleared Genomic Profiling Assay Guides Treatment Selection in Solid Tumors
- ctDNA Blood Test Could Help Guide Radiotherapy in Patients with Limited Metastases
- FDA-Approved MRD Blood Test Guides Adjuvant Bladder Cancer Therapy
- Whole-Genome MRD Test Detects Early Recurrence in Muscle-Invasive Bladder Cancer
- Tumor Genomic Profiling Identifies High-Risk Gallbladder Cancer
- Novel Algorithm Improves Detection of B-ALL Gene Fusions
- Rapid Multiplex PCR Test Detects 11 Gastrointestinal Pathogens from Single Sample
Channels
Clinical Chemistry
view channel
Fluid Biomarker Improves Diagnosis and Monitoring of Primary CNS Lymphoma
Primary central nervous system lymphoma (PCNSL) is a rare malignancy of the brain, spinal cord, and eyes with delayed diagnosis and poor outcomes. Current fluid-based testing using interleukin measurements... Read more
New CA19-9 Cutoff Value Helps Identify High-Risk Pancreatic Cancer Patients
Pancreatic ductal adenocarcinoma (PDAC) is frequently diagnosed at an advanced stage and remains one of the most lethal solid tumors. Clinicians commonly use serum carbohydrate antigen 19-9 (CA19-9) to... Read moreMolecular Diagnostics
view channel
Gene Fusion Patterns May Flag High Risk Solitary Fibrous Tumors
Solitary fibrous tumor (SFT) is a rare subtype of sarcoma, a cancer that develops in connective tissues such as fat, muscle, blood vessels, and fibrous tissue. SFTs most commonly arise in the chest cavity... Read more
New RNA Origami Method Supports Faster Targeted Testing for Repeat Expansion Disorders
Repeat expansion disorders drive conditions such as myotonic dystrophy, Huntington’s disease, and amyotrophic lateral sclerosis (ALS), yet accurately sizing the mutated sequences remains difficult.... Read moreHematology
view channel
Higher Ferritin Threshold May Improve Iron Deficiency Detection in Children
Iron deficiency in school-age children can affect brain development, learning, growth, and physical performance, yet early deficiency may be missed when screening focuses mainly on anemia.... Read more
Stem Cell Biomarkers May Guide Precision Treatment in Acute Myeloid Leukemia
Acute myeloid leukemia (AML) is an aggressive blood cancer that most often affects older adults and still carries a poor prognosis despite therapeutic advances. Venetoclax-based regimens have improved... Read moreMicrobiology
view channel
FDA-Cleared Gastrointestinal Panel Detects 24 Pathogen Targets
Clinical guidelines support testing based on patient presentation in suspected gastrointestinal infections, yet available technologies have often forced laboratories to choose between panels that are too... Read more
New AMR Assay Supports Rapid Infection Control Screening in Hospitals
As antimicrobial resistance spreads worldwide, healthcare-associated infections are placing a growing burden on hospitals, increasing the need for faster and broader diagnostic solutions.... Read morePathology
view channel
AI Tool Extracts Immune Signals from Biopsy to Inform Myeloma Therapy
Multiple myeloma is a bone marrow malignancy in which patients can respond very differently to the same treatments, making initial therapy decisions difficult. Clinicians must choose among options such... Read more
Rapid AI Tool Predicts Cancer Spatial Gene Expression from Pathology Images
Gene expression profiling can inform tumor biology and treatment selection, but spatial assays remain costly and time-consuming. Results can take weeks and cost thousands of dollars, limiting large-scale... Read moreTechnology
view channel
AI-Enabled Assistant Unifies Molecular Workflow Planning and Support
Clinical laboratories and research groups face increasingly complex molecular workflows and expanding technical documentation spread across multiple systems. Fragmented digital tools can slow experiment... Read more
AI Tool Automates Validation of Laboratory Software Configuration Changes
Regulated laboratories face heavy documentation and requalification demands when software configurations change, slowing improvements and discouraging beneficial updates. A new capability now automates... Read moreIndustry
view channel
Natera to Present Data on MRD-Guided Cancer Care at ASCO 2026
Natera, Inc. (Austin, TX, USA), a company focused on cell-free DNA testing and precision medicine, announced an oncology data program for the 2026 American Society of Clinical Oncology (ASCO) Annual Meeting,... Read more








