Some medications are known to cause kidney damage because the person is allergic to the medication while others cause direct damage to the kidney because they are toxic at certain concentrations. Risk factors for developing kidney damage have been identified for some medications but not for all. Patients who are exposed to these important medications and develop problems with their kidneys may have some genetic risk. The purpose of this study is to determine the genetic risk factors for drug induced kidney injury. A better understanding of the role of genetics for the development of kidney injury from medications will allow us to better select medications, improve effectiveness of treatment and minimize harm.
Study Type
OBSERVATIONAL
Enrollment
634
University of Alabama, Birmingham
Birmingham, Alabama, United States
University of California, San Diego
San Diego, California, United States
Rady Children's Hospital
San Diego, California, United States
University of Colorado
Aurora, Colorado, United States
University of Michigan
Ann Arbor, Michigan, United States
St. Peter's Hospital
Albany, New York, United States
Jacobi Medical Center
New York, New York, United States
Cincinnati Children's Hospital
Cincinnati, Ohio, United States
Universidad del Valle, Cochabamba
Cochabamba, Bolivia
Hopital Sacre Coeur & Universite de Montreal
Montreal, Quebec, Canada
...and 8 more locations
Identify genes that predispose to dose dependent (Type A) or hypersensitivity (Type B) during drug induced nephrotoxicity.
Blood Draw (20 cc) and urine collection (80cc)
Time frame: At time of enrollment
To identify specific alterations in drug metabolism pathways that contribute to drug induced renal injury with different drugs.
We will perform a GWAS to examine the association of common genetic variants with the development of DIRI. For assessing association between a common SNP and the risk of DIRI, association tests will be undertaken to compare genotype frequencies between cases and controls. We will use logistic regression models under the assumption of an additive genetic model and incorporate potential confounders and covariates. Dominant, recessive models will also be checked through alternative coding of the genotype for SNPs approaching significance.
Time frame: DNA sample collected at time of enrollment.
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.