rs944289
badMag 4.5This is a intergenic variant variant in the NKX2-1 gene.
Key Literature Trait Associations
Thyroid Cancer
Each copy of the T allele at rs944289 is associated with a 1.37-fold increased risk of papillary thyroid carcinoma. This variant maps to 14q13.3 near the NKX2-1 (TITF1) locus, a transcription factor critical for thyroid development and differentiation. Identified in a GWAS of 461 thyroid cancer cases and 34,109 controls from Iceland with replication in cohorts from Spain and the US (total ~3,400 cases).
▶GWAS Catalog Trait Associations (1)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
GWAS Catalog Trait Associations (1)
Genome-wide significant associations (p < 5×10⁻⁸) from the NHGRI-EBI GWAS Catalog.
thyroid carcinoma
▶Research that mentions this SNP (2)
▶Single nucleotide polymorphisms of ataxia telangiectasia mutated and the risk of papillary thyroid carcinomaMethodsChang Myeon Song et al.(2015)· Environmental and Molecular Mutagenesis
This is a methods chapter describing high-resolution melting (HRM) for SNP detection in papillary thyroid carcinoma research. The paper reviews SNPs associated with PTC development and progression, including variants in FAS (rs2234978), DICER1 (rs3742330), TAS2R3/4 (rs2270009, rs2234001), ATM (rs373759, rs664143, rs4585), TITF1/TITF2 (rs944289, rs965513, rs1443434), MDM2 (rs2279744, rs3730485), BRCA1 (rs1799950, rs799917, rs16941, rs16942, rs1060915, rs1799966), VEGF-A, MMP9 (rs1562), and others associated with tumor characteristics and PTC risk.
▶Significant SNPs have limited prediction ability for thyroid cancerAssociationN=1,850Shicheng Guo et al.(2014)· Cancer Medicine
Case-control study genotyping five thyroid cancer-associated SNPs (rs965513 OR=1.53, rs944289 OR=1.51, rs966423 OR=1.32, rs2439302 OR=1.40; rs116909374 not detected) in 845 Han Chinese papillary thyroid carcinoma cases and 1,005 controls. Although significant associations were confirmed, prediction accuracy was limited (AUC 0.54-0.60 across nine machine learning methods) with low sensitivity (0.28-0.48), indicating minimal clinical utility despite large odds ratios.
Gene information from NCBI Gene. Variant classifications from ClinVar.
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