rs1019385 - GRIN2B

Magnitude 2.2 · 3 studies on file

Reported associations

• Association of genetic variants in six candidate genes with valproic acid therapy optimization. - Pharmacogenomics (2011) · Hung CC, Ho JL, Chang WL, Tai JJ, Hsieh TJ, Hsieh YW, Liou HH · PubMed 21806385

  Valproic acid (VPA) is one of the most widely used antiepileptic drugs. The aim of the study was to investigate whether polymorphisms in genes related to pharmacokinetic and pharmacodynamic pathways of VPA were associated with the large interindividual variability in dosages and concentrations. Genetic polymorphisms in six candidate genes were detected in 162 epileptic patients under maintenance with VPA monotherapy and stable seizure control by real-time PCR and PCR-RFLP. Results of statistical analysis demonstrated that carriers of the variant UGT1A6 19T>G, 541A>G and 552A>C allele tended to require higher VPA dosages and lower ln(concentration-to-dose ratios [CDRs]) than noncarriers (p < 0.0001) and the homozygous carriers also seemed to require higher VPA dosages and lower lnCDRs (p <

• Pharmacogenetics of Ketamine-Induced Emergence Phenomena: A Pilot Study - Unknown journal (n.d.) · Unknown authors · PubMed 28252572

  ABSTRACT: Background Up to 55% of patients administered ketamine, experience an emergence phenomena (EP) that closely mimics schizophrenia and increases their risk of injury, but to date no studies have investigated genetic association of ketamine-induced EP in healthy patients. Objectives To investigate the feasibility and sample sizes required to explore the relationship between CYP2B66 and GRIN2B single nucleotide polymorphisms (SNPs) and ketamine-induced emergence phenomena (EP). Methods This cross-sectional pharmacogenetic candidate gene pilot study recruited 75 patients having minor elective outpatient surgeries. EP was measured with the Clinician Administered Dissociative State Scale (CADSS). Genetic association of CYP2B66 and GRIN2B (rs1019385 & rs1806191) SNPs and ketamine induc

• Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals - Unknown journal (n.d.) · Unknown authors · PubMed 35361970

  ABSTRACT: We conduct a genome-wide association study (GWAS) of educational attainment (EA) in a sample of ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A genome-wide polygenic predictor, or polygenic index (PGI), explains 12-16% of EA variance and contributes to risk prediction for ten diseases. Direct effects (i.e., controlling for parental PGIs) explain roughly half the PGI's magnitude of association with EA and other phenotypes. The correlation between mate-pair PGIs is far too large to be consistent with phenotypic assortment alone, implying additional assortment on PGI-associated factors. In an additional GWAS of dominance deviations from the additive model, we identify no genome-wide-significan

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