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
- Whole Genome Sequencing in Routine Care Expands Rare Disease Detection
- New AI Tool Improves Detection of Genetic Causes in Rare Disorders
- Adaptive PCR Platform Improves Consistency in Small-Batch NGS Workflows
- Portable Test Uses CRISPR to Rapidly Identify STIs and Resistance Markers
- New Molecular Test Boosts Accuracy of Bile Duct Cancer Diagnosis
- First IVDR‑Certified IGH Clonality Assay Supports Diagnosis of B-Cell Malignancies
- Plasma ctDNA Testing Predicts Breast Cancer Recurrence After Neoadjuvant Therapy
- New Respiratory Panel Expands Pathogen Detection to 25 Targets
- Nasal Swab May Reveal Early Signs of Alzheimer’s Disease
- Blood Biomarker Predicts Cognitive Outcomes After Cardiac Arrest
- Liquid Biopsy Enables Faster Diagnosis of Childhood Cancer in Africa
- Blood Test Helps Guide Treatment in Older Women with Breast Cancer
- Rapid Host-Response Test Distinguishes Bacterial and Viral Infections in Minutes
- Liquid Biopsy Method Pinpoints Disease Source From a Single Drop of Blood
- Study Reveals Widespread Errors in Gene Variant Naming
- New Blood Test Aims to Transform Liver Cancer Surveillance
Channels
Clinical Chemistry
view channel
New CLIA Status Brings Mass Spectrometry Steroid Testing to Routine Labs
Steroid hormone measurement is a core application of clinical mass spectrometry, which is widely regarded as a diagnostic gold standard. Access to these high-specificity methods has often been constrained... Read more
Study Shows Dual Biomarkers Improve Accuracy of Alzheimer’s Detection
Alzheimer’s disease develops slowly, and biological changes can appear in blood many years before symptoms. While plasma assays for phosphorylated tau offer earlier detection, discerning whether these... Read moreMolecular Diagnostics
view channel
Whole Genome Sequencing in Routine Care Expands Rare Disease Detection
Rare diseases often involve prolonged diagnostic journeys that delay clinical decision-making and complicate family planning. As phenotypes become more heterogeneous, sequencing-based methods are increasingly... Read more
New AI Tool Improves Detection of Genetic Causes in Rare Disorders
Families affected by rare diseases often endure years of inconclusive testing and fragmented referrals before a definitive diagnosis. Despite broad access to genomic sequencing, many patients remain undiagnosed,... Read moreHematology
view channel
Rapid Cartridge-Based Test Aims to Expand Access to Hemoglobin Disorder Diagnosis
Sickle cell disease and beta thalassemia are hemoglobin disorders that often require referral to specialized laboratories for definitive diagnosis, delaying results for patients and clinicians.... Read more
New Guidelines Aim to Improve AL Amyloidosis Diagnosis
Light chain (AL) amyloidosis is a rare, life-threatening bone marrow disorder in which abnormal amyloid proteins accumulate in organs. Approximately 3,260 people in the United States are diagnosed... Read moreMicrobiology
view channel
New Bacterial Target Identified for Early Detection of Noma
Noma is a rapidly progressing orofacial infection that begins as gingivitis and can destroy oral and facial tissues, primarily affecting young children living in extreme poverty. Without treatment, it... Read more
Genomic Analysis Links Emerging Streptococcal Strains to Specific Infections
Streptococcus dysgalactiae subspecies equisimilis (SDSE) infections are increasing worldwide and include variants that may lead to severe disease. Researchers now report that whole-genome sequencing of... Read morePathology
view channel
AI Tool Predicts Patient-Specific Chemotherapy Benefit in Breast Cancer
Selecting adjuvant chemotherapy for early-stage breast cancer is typically guided by recurrence risk and population-level averages rather than patient-specific benefit. However, existing clinicopathologic... Read more
AI-Based Pathology Model Guides Chemotherapy Decisions in Breast Cancer
Selecting adjuvant chemotherapy for early-stage breast cancer remains a difficult decision because only a subset benefits and many undergo toxicity without gain. Genomic assays can help but are costly,... Read moreTechnology
view channel
New AI Tool Enables Rapid Treatment Selection in Pediatric Leukemia
Children with T-cell acute lymphoblastic leukemia face an aggressive disease that remains difficult to treat. Although remission rates have improved, many survivors experience long-term effects from intensive... Read more
Breakthrough Mass Spectrometry Design Could Enable Ultra-Low Abundance Detection
Mass spectrometry is central to identifying and quantifying molecules in complex biological samples, but conventional instruments typically analyze ions sequentially, which can limit detection of rare species.... Read moreIndustry
view channel
Takara Bio USA and Hamilton Partner Partner to Automate NGS Library Preparation
Takara Bio USA, Inc. (San Jose, CA, USA), a wholly owned subsidiary of Takara Bio Inc., and Hamilton Company (Reno, NV, USA) announced a development and co-marketing agreement to deliver integrated, automated... Read more




.jpg)



