Allergies

2026-04-05 · Chen E et al., combining Global Biobank Meta-analysis Initiative and Million Veteran Program data (over 158,000 asthma cases, 1.6 million+ controls)

Deep learning and statistical methods identify novel asthma risk variants in Europeans

A meta-analysis combining the Global Biobank Meta-analysis Initiative and the Million Veteran Program (over 158,000 asthma cases, 1.6 million+ controls) used deep learning -- a Transformer-based framework called InsightGWAS -- alongside standard statistical methods to find 69 previously unreported genome-wide significant loci for asthma risk, one of the largest asthma genetics studies to date. The paper's scale, not a small number of headline genes, is the finding: functional follow-up implicated genes across immune regulation, airway remodeling and metabolic processes.

2026-09-01 · Rodríguez-Alcolado L et al., 628 Spanish EoE patients, 38 genetic markers

In 628 patients, CAPN14 variants tracked with eosinophil counts and which allergic conditions came along with eosinophilic esophagitis

A study of 628 Spanish patients with eosinophilic esophagitis (EoE) genotyped 38 markers and found variants that predicted disease phenotype and eosinophil levels, plus links between certain variants and higher asthma/conjunctivitis risk or lower dermatitis risk -- two specific CAPN14 genotypes tracked with lower peak eosinophil counts at diagnosis. See this site's <a href="/conditions/eosinophilic-esophagitis">eosinophilic esophagitis</a> page, which carries a different CAPN14 variant from the original discovery GWAS.