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A systematic review and meta-analysis of pharmacogenetic studies in patients with chronic kidney disease

  • Maria Tziastoudi
  • , Georgios Pissas
  • , Georgios Raptis
  • , Christos Cholevas
  • , Theodoros Eleftheriadis
  • , Evangelia Dounousi
  • , Ioannis Stefanidis
  • , Theoharis C. Theoharides

Research output: Contribution to journalReview articlepeer-review

Abstract

Chronic kidney disease (CKD) is an important global public health problem due to its high prevalence and morbidity. Although the treatment of nephrology patients has changed considerably, ineffectiveness and side effects of medications represent a major issue. In an effort to elucidate the contribution of genetic variants located in several genes in the response to treatment of patients with CKD, we performed a systematic review and meta-analysis of all available pharmacogenetics studies. The association between genotype distribution and response to medication was examined using the dominant, recessive, and additive inheritance models. Subgroup analysis based on ethnicity was also performed. In total, 29 studies were included in the meta-analysis, which examined the association of 11 genes (16 polymorphisms) with the response to treatment regarding CKD. Among the 29 studies, 18 studies included patients with renal transplantation, 8 involved patients with nephrotic syndrome, and 3 studies included patients with lupus nephritis. The present metaanalysis provides strong evidence for the contribution of variants harbored in the ABCB1, IL-10, ITPA, MIF, and TNF genes that creates some genetic predisposition that reduces effectiveness or is associated with adverse events of medications used in CKD.

Original languageEnglish
Article number4480
JournalInternational Journal of Molecular Sciences
Volume22
Issue number9
DOIs
StatePublished - May 1 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

ASJC Scopus Subject Areas

  • Catalysis
  • Molecular Biology
  • Spectroscopy
  • Computer Science Applications
  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Inorganic Chemistry

Keywords

  • Chronic kidney disease
  • Genetic association
  • Meta-analysis
  • Pharmacogenetics
  • Systematic review

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