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

Saigi-Morgui, Núria; Quteineh, Lina; Bochud, Pierre-Yves; Crettol, Severine; Kutalik, Zoltán; Mueller, Nicolas J; Binet, Isabelle; Van Delden, Christian; Steiger, Jürg; Mohacsi, Paul; Dufour, Jean-François; Soccal, Paola M; Pascual, Manuel; Eap, Chin B (2019). Genetic and clinic predictors of new onset diabetes mellitus after transplantation. The pharmacogenomics journal, 19(1), pp. 53-64. Nature Publishing Group 10.1038/s41397-017-0001-5

[img] Text
s41397-017-0001-5.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (641kB) | Request a copy

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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Gastro-intestinal, Liver and Lung Disorders (DMLL) > Clinic of Visceral Surgery and Medicine > Hepatology
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Hepatologie
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > DBMR Forschung Mu35 > Forschungsgruppe Hepatologie

UniBE Contributor:

Dufour, Jean-François

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1473-1150

Publisher:

Nature Publishing Group

Language:

English

Submitter:

Thi Thao Anh Pham

Date Deposited:

29 Jan 2018 10:17

Last Modified:

05 Dec 2022 15:09

Publisher DOI:

10.1038/s41397-017-0001-5

PubMed ID:

29282365

BORIS DOI:

10.7892/boris.108694

URI:

https://boris.unibe.ch/id/eprint/108694

Actions (login required)

Edit item Edit item
Provide Feedback