Weighted Genetic Risk Scores and Prediction of Weight Gain in Solid Organ Transplant Populations.

Détails

Ressource 1Télécharger: BIB_ADE82491851D.P001.pdf (1209.19 [Ko])
Etat: Public
Version: Final published version
ID Serval
serval:BIB_ADE82491851D
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Weighted Genetic Risk Scores and Prediction of Weight Gain in Solid Organ Transplant Populations.
Périodique
PloS one
Auteur(s)
Saigi-Morgui N., Quteineh L., Bochud P.Y., Crettol S., Kutalik Z., Wojtowicz A., Bibert S., Beckmann S., Mueller N.J., Binet I., van Delden C., Steiger J., Mohacsi P., Stirnimann G., Soccal P.M., Pascual M., Eap C.B.
Collaborateur(s)
Swiss Transplant Cohort Study
ISSN
1932-6203 (Electronic)
ISSN-L
1932-6203
Statut éditorial
Publié
Date de publication
2016
Peer-reviewed
Oui
Volume
11
Numéro
10
Pages
e0164443
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Résumé
Polygenic obesity in Solid Organ Transplant (SOT) populations is considered a risk factor for the development of metabolic abnormalities and graft survival. Few studies to date have studied the genetics of weight gain in SOT recipients. We aimed to determine whether weighted genetic risk scores (w-GRS) integrating genetic polymorphisms from GWAS studies (SNP group#1 and SNP group#2) and from Candidate Gene studies (SNP group#3) influence BMI in SOT populations and if they predict ≥10% weight gain (WG) one year after transplantation. To do so, two samples (nA = 995, nB = 156) were obtained from naturalistic studies and three w-GRS were constructed and tested for association with BMI over time. Prediction of 10% WG at one year after transplantation was assessed with models containing genetic and clinical factors.
w-GRS were associated with BMI in sample A and B combined (BMI increased by 0.14 and 0.11 units per additional risk allele in SNP group#1 and #2, respectively, p-values<0.008). w-GRS of SNP group#3 showed an effect of 0.01 kg/m2 per additional risk allele when combining sample A and B (p-value 0.04). Models with genetic factors performed better than models without in predicting 10% WG at one year after transplantation.
This is the first study in SOT evaluating extensively the association of w-GRS with BMI and the influence of clinical and genetic factors on 10% of WG one year after transplantation, showing the importance of integrating genetic factors in the final model. Genetics of obesity among SOT recipients remains an important issue and can contribute to treatment personalization and prediction of WG after transplantation.

Mots-clé
Adolescent, Adult, Aged, Body Mass Index, Female, Genome-Wide Association Study, Graft Survival/genetics, Graft Survival/physiology, Humans, Male, Middle Aged, Obesity/etiology, Obesity/genetics, Organ Transplantation/adverse effects, Polymorphism, Single Nucleotide/genetics, Polymorphism, Single Nucleotide/physiology, Risk Factors, Weight Gain/genetics, Young Adult
Pubmed
Web of science
Open Access
Oui
Création de la notice
03/11/2016 14:18
Dernière modification de la notice
20/08/2019 15:17
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