rs10194635 - LINC01104
Magnitude 2.8 · 2 studies on file
Reported associations
-
Dense genotyping of immune-related disease regions identifies 14 new susceptibility loci for juvenile idiopathic arthritis - Unknown journal (n.d.) · Unknown authors · PubMed 23603761
ABSTRACT: Analysis of the ImmunoChip single nucleotide polymorphism (SNP) array in 2816 individuals, comprising the most common subtypes (oligoarticular and RF negative polyarticular) of juvenile idiopathic arthritis (JIA) and 13056 controls strengthens the evidence for association to three known JIA-risk loci (HLA, PTPN22 and PTPN2) and has identified fourteen risk loci reaching genome-wide significance (p < 5 × 10-8) for the first time. Eleven additional novel regions showed suggestive evidence for association with JIA (p < 1 × 10-6). Dense-mapping of loci along with bioinformatic analysis has refined the association to one gene for eight regions, highlighting crucial pathways, including the IL-2 pathway, in JIA disease pathogenesis. The entire ImmunoChip loci, HLA region and the top 2
-
Investigating the genetic architecture of non-cognitive skills using GWAS-by-subtraction - Unknown journal (n.d.) · Unknown authors · PubMed 33414549
ABSTRACT: Little is known about the genetic architecture of traits affecting educational attainment other than cognitive ability. We used Genomic Structural Equation Modeling and prior genome-wide association studies (GWAS) of educational attainment (n = 1,131,881) and cognitive test performance (n = 257,841) to estimate SNP associations with educational attainment variation that is independent of cognitive ability.We identified 157 genome-wide significant loci and a polygenic architecture accounting for 57% of genetic variance in educational attainment. Non-cognitive genetics were enriched in the same brain tissues and cell types as cognitive performance but showed different associations with gray-matter brain volumes. Non-cognitive genetics were further distinguished by associations with
Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.