Literature DB >> 29282365

Genetic and clinic predictors of new onset diabetes mellitus after transplantation.

Núria Saigi-Morgui1, Lina Quteineh1, Pierre-Yves Bochud2, Severine Crettol1, Zoltán Kutalik3,4, Nicolas J Mueller5, Isabelle Binet6, Christian Van Delden7, Jürg Steiger8, Paul Mohacsi9, Jean-Francois Dufour10, Paola M Soccal11, Manuel Pascual12, Chin B Eap13,14.   

Abstract

New Onset Diabetes after Transplantation (NODAT) is a frequent complication after solid organ transplantation, with higher incidence during the first year. Several clinical and genetic factors have been described as risk factors of Type 2 Diabetes (T2DM). Additionally, T2DM shares some genetic factors with NODAT. We investigated if three genetic risk scores (w-GRS) and clinical factors were associated with NODAT and how they predicted NODAT development 1 year after transplantation. In both main (n = 725) and replication (n = 156) samples the clinical risk score was significantly associated with NODAT (ORmain: 1.60 [1.36-1.90], p = 3.72*10-8 and ORreplication: 2.14 [1.39-3.41], p = 0.0008, respectively). Two w-GRS were significantly associated with NODAT in the main sample (ORw-GRS 2:1.09 [1.04-1.15], p = 0.001 and ORw-GRS 3:1.14 [1.01-1.29], p = 0.03) and a similar ORw-GRS 2 was found in the replication sample, although it did not reach significance probably due to a power issue. Despite the low OR of w-GRS on NODAT compared to clinical covariates, when integrating w-GRS 2 and w-GRS 3 in the clinical model, the Area under the Receiver Operating Characteristics curve (AUROC), specificity, sensitivity and accuracy were 0.69, 0.71, 0.58 and 0.68, respectively, with significant Likelihood Ratio test discrimination index (p-value 0.0004), performing better in NODAT discrimination than the clinical model alone. Twenty-five patients needed to be genotyped in order to detect one misclassified case that would have developed NODAT 1 year after transplantation if using only clinical covariates. To our knowledge, this is the first study extensively examining genetic risk scores contributing to NODAT development.

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Year:  2017        PMID: 29282365     DOI: 10.1038/s41397-017-0001-5

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  3 in total

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

Authors:  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
Journal:  Nat Med       Date:  2022-04-07       Impact factor: 87.241

2.  Cohort profile: The Swiss Transplant Cohort Study (STCS): A nationwide longitudinal cohort study of all solid organ recipients in Switzerland.

Authors:  Susanne Stampf; Nicolas J Mueller; Christian van Delden; Manuel Pascual; Oriol Manuel; Vanessa Banz; Isabelle Binet; Sabina De Geest; Pierre-Yves Bochud; Alexander Leichtle; Stefan Schaub; Jürg Steiger; Michael Koller
Journal:  BMJ Open       Date:  2021-12-15       Impact factor: 2.692

3.  Clinical and genetic risk factors for new-onset diabetes mellitus after transplantation (NODAT) in major transplant centres in Malaysia.

Authors:  Rhanye Mac Guad; Andrew W Taylor-Robinson; Yuan Seng Wu; Siew Hua Gan; Nur Lisa Zaharan; Roma Choudhury Basu; Constance Sat Lin Liew; Wan Ahmad Hafiz Wan Md Adnan
Journal:  BMC Nephrol       Date:  2020-09-07       Impact factor: 2.388

  3 in total

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