Expressive

rs11077618 - SLC39A11

Magnitude 2.2 · 2 studies on file

Reported associations

  • Meta-GWAS identifies the heritability of acute radiation-induced toxicities in head and neck cancer. - Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology (2022) · Naderi E, Schack LMH, Welsh C, Sim AYL, Aguado-Barrera ME, Dudding T, Summersgil H, Martínez-Calvo L, Ong EHW, Odding Y, Varela-Pazos A, Steenbakkers RJHM, Crijns APG, Jena R, Pring M, Dennis J, Lobato-Busto R, Alsner J, Ness A, Nutting C, Thomson DJ, Gómez-Caamaño A, Eriksen JG, Thomas SJ, Bates AM, Overgaard J, Cascallar-Caneda LM, Duprez F, Barnett GC, Dorling L, Chua MLK, Vega A, West CML, Langendijk JA, Nicolaj Andreassen C, Alizadeh BZ · PubMed 36191651

    We aimed to the genetic components and susceptibility variants associated with acute radiation-induced toxicities (RITs) in patients with head and neck cancer (HNC). We performed the largest meta-GWAS of seven European cohorts (n = 4,042). Patients were scored weekly during radiotherapy for acute RITs including dysphagia, mucositis, and xerostomia. We analyzed the effect of variants on the average burden (measured as area under curve, AUC) per each RIT, and standardized total average acute toxicity (STAT ) score using a multivariate linear regression. We tested suggestive variants (p < 1.0x10 ) in discovery set (three cohorts; n = 2,640) in a replication set (four cohorts; n = 1,402). We meta-analysed all cohorts to calculate RITs specific SNP-based heritability, and effect of poly

  • Large-scale meta-genome-wide association study reveals common genetic factors linked to radiation-induced acute toxicities across cancer types - Unknown journal (n.d.) · Unknown authors · PubMed 37862240

    ABSTRACT: Abstract Background This study was designed to identify common genetic susceptibility and shared genetic variants associated with acute radiation-induced toxicity across 4 cancer types (prostate, head and neck, breast, and lung). Methods A genome-wide association study meta-analysis was performed using 19 cohorts totaling 12 042 patients. Acute standardized total average toxicity (STATacute) was modelled using a generalized linear regression model for additive effect of genetic variants, adjusted for demographic and clinical covariates (rSTATacute). Linkage disequilibrium score regression estimated shared single-nucleotide variation (SNV-formerly SNP)-based heritability of rSTATacute in all patients and for each cancer type. Results Shared SNV-based heritability of STATacut

Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.