Donor and recipient polygenic risk scores influence the risk of post-transplant diabetes

  • Abraham Shaked
  • , Bao Li Loza
  • , Elisabet Van Loon
  • , Kim M. Olthoff
  • , Weihua Guan
  • , Pamala A. Jacobson
  • , Andrew Zhu
  • , Claire E. Fishman
  • , Hui Gao
  • , William S. Oetting
  • , Ajay K. Israni
  • , Giuliano Testa
  • , James Trotter
  • , Goran Klintmalm
  • , Maarten Naesens
  • , Sumeet K. Asrani
  • , Brendan J. Keating

Research output: Contribution to journalArticlepeer-review

Abstract

Post-transplant diabetes mellitus (PTDM) reduces allograft and recipient life span. Polygenic risk scores (PRSs) show robust association with greater risk of developing type 2 diabetes (T2D). We examined the association of PTDM with T2D PRS in liver recipients (n = 1,581) and their donors (n = 1,555), and kidney recipients (n = 2,062) and their donors (n = 533). Recipient T2D PRS was associated with pre-transplant T2D and the development of PTDM. T2D PRS in liver donors, but not in kidney donors, was an independent risk factor for PTDM development. The inclusion of a combined liver donor and recipient T2D PRS significantly improved PTDM prediction compared with a model that included only clinical characteristics: the area under the curve (AUC) was 67.6% (95% confidence interval (CI) 64.1–71.1%) for the combined T2D PRS versus 62.3% (95% CI 58.8–65.8%) for the clinical characteristics model (P = 0.0001). Liver recipients in the highest quintile of combined donor and recipient T2D PRS had the greatest risk of PTDM, with an odds ratio of 3.22 (95% CI 2.07–5.00) (P = 1.92 × 10−7) compared with those in the lowest quintile. In conclusion, T2D PRS identifies transplant candidates with high risk of PTDM for which pre-emptive diabetes management and donor selection may be warranted.

Original languageEnglish (US)
Pages (from-to)999-1005
Number of pages7
JournalNature Medicine
Volume28
Issue number5
DOIs
StatePublished - May 2022
Externally publishedYes

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology

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