Your browser doesn't support javascript.
loading
Association Between Genetically Predicted Expression of TPMT and Azathioprine Adverse Events.
Davis, Alyssa; Dickson, Alyson L; Daniel, Laura L; Nepal, Puran; Zanussi, Jacy; Miller-Fleming, Tyne W; Straub, Peter S; Wei, Wei-Qi; Liu, Ge; Cox, Nancy J; Hung, Adriana M; Feng, QiPing; Stein, C Michael; Chung, Cecilia P.
Afiliación
  • Davis A; Vanderbilt University Medical Center.
  • Dickson AL; Vanderbilt University Medical Center.
  • Daniel LL; Vanderbilt University Medical Center.
  • Nepal P; Vanderbilt University Medical Center.
  • Zanussi J; Vanderbilt University Medical Center.
  • Miller-Fleming TW; Vanderbilt University Medical Center.
  • Straub PS; Vanderbilt University Medical Center.
  • Wei WQ; Vanderbilt University Medical Center.
  • Liu G; Vanderbilt University Medical Center.
  • Cox NJ; Vanderbilt University Medical Center.
  • Hung AM; Vanderbilt University Medical Center.
  • Feng Q; Vanderbilt University Medical Center.
  • Stein CM; Vanderbilt University Medical Center.
  • Chung CP; Vanderbilt University Medical Center.
Res Sq ; 2023 Jan 13.
Article en En | MEDLINE | ID: mdl-36711487
ABSTRACT
Polymorphisms thiopurine-S-methyltransferase (TPMT) and nudix hydrolase 15 (NUDT15) can increase the risk of azathioprine myelotoxicity, but little is known about other genetic factors that increase risk for azathioprine-associated side effects. PrediXcan is a gene-based association method that estimates the expression of individuals' genes and examines their correlation to specified phenotypes. As proof of concept for using PrediXcan as a tool to define the association between genetic factors and azathioprine side effects, we aimed to determine whether the genetically predicted expression of TPMT or NUDT15 was associated with leukopenia or other known side effects. In a retrospective cohort of 1364 new users of azathioprine with EHR-reported White race, we used PrediXcan to impute expression in liver tissue, tested its association with pre-specified phecodes representing known side effects (e.g., skin cancer), and completed chart review to confirm cases. Among confirmed cases, patients in the lowest tertile (i.e., lowest predicted) of TPMT expression had significantly higher odds of developing leukopenia (OR=3.30, 95%CI 1.07-10.20, p=0.04) versus those in the highest tertile; no other side effects were significant. The results suggest that this methodology could be deployed on a larger scale to uncover associations between genetic factors and drug side effects for more personalized care.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Res Sq Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Res Sq Año: 2023 Tipo del documento: Article