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Pilot cohort study on the potential role of TCF 7L2 rs7903146 on ischemic heart disease among non‐diabetic kidney transplant recipients
Author(s) -
Quaglia Marco,
Musetti Claudio,
Merlotti Guido,
Genazzani Armando A.,
Cargnin Sarah,
Cena Tiziana,
Cantaluppi Vincenzo,
Terrazzino Salvatore
Publication year - 2017
Publication title -
clinical transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.918
H-Index - 76
eISSN - 1399-0012
pISSN - 0902-0063
DOI - 10.1111/ctr.12959
Subject(s) - medicine , mace , cohort , diabetes mellitus , gastroenterology , population , coronary artery disease , cardiology , endocrinology , myocardial infarction , percutaneous coronary intervention , environmental health
Background TCF 7L2 rs7903146 C>T polymorphism is associated with diabetes in the general population but its independent impact on cardiovascular disease is debated. On this basis, we investigated its association with major adverse cardiac events ( MACE ) in a single‐center cohort of non‐diabetic kidney transplant recipients ( KTR s). Methods Patients with pretransplant diabetes were excluded and patients who developed post‐transplant diabetes were censored at time of diagnosis. Results rs7903146 C>T polymorphism appeared to modulate the risk of MACE : 5‐year prevalence was 0.8% in CC patients, 7.2% in CT patients and 9.7% in TT patients ( P <.001). TCF 7L2 rs7903146 was an independent predictor of MACE in a multivariate Cox regression model (for each T allele, HR : 2.99, 95% CI : 1.62‐5.52, P <.001), together with history of cardiac ischemic events ( HR : 8.69, 95% CI : 3.57‐21.16, P <.001), DGF ( HR : 2.42, 95% CI : 0.98‐5.95, P =.056) and HLA ‐mismatches (for each mismatch: HR : 1.55, 95% CI : 1.00‐2.43, P =.053). Introduction of rs7903146 C>T polymorphism into a model based on these clinical variables significantly increased predictive power for MACE ( P =.003). Conclusions TCF 7L2 rs7903146 T allele may be strongly and independently associated with MACE in non‐diabetic KTR s. These findings suggest the possibility of employing this SNP to more accurately stratify cardiological risk in KTR s.