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

BACKGROUND: 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...

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Autores principales: Saigi-Morgui, Núria, Quteineh, Lina, Bochud, Pierre-Yves, Crettol, Severine, Kutalik, Zoltán, Wojtowicz, Agnieszka, Bibert, Stéphanie, Beckmann, Sonja, Mueller, Nicolas J, Binet, Isabelle, van Delden, Christian, Steiger, Jürg, Mohacsi, Paul, Stirnimann, Guido, Soccal, Paola M., Pascual, Manuel, Eap, Chin B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5082801/
https://www.ncbi.nlm.nih.gov/pubmed/27788139
http://dx.doi.org/10.1371/journal.pone.0164443
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author Saigi-Morgui, Núria
Quteineh, Lina
Bochud, Pierre-Yves
Crettol, Severine
Kutalik, Zoltán
Wojtowicz, Agnieszka
Bibert, Stéphanie
Beckmann, Sonja
Mueller, Nicolas J
Binet, Isabelle
van Delden, Christian
Steiger, Jürg
Mohacsi, Paul
Stirnimann, Guido
Soccal, Paola M.
Pascual, Manuel
Eap, Chin B
author_facet Saigi-Morgui, Núria
Quteineh, Lina
Bochud, Pierre-Yves
Crettol, Severine
Kutalik, Zoltán
Wojtowicz, Agnieszka
Bibert, Stéphanie
Beckmann, Sonja
Mueller, Nicolas J
Binet, Isabelle
van Delden, Christian
Steiger, Jürg
Mohacsi, Paul
Stirnimann, Guido
Soccal, Paola M.
Pascual, Manuel
Eap, Chin B
author_sort Saigi-Morgui, Núria
collection PubMed
description BACKGROUND: 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 (n(A) = 995, n(B) = 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. RESULTS: 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/m(2) 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. CONCLUSIONS: 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.
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spelling pubmed-50828012016-11-04 Weighted Genetic Risk Scores and Prediction of Weight Gain in Solid Organ Transplant Populations Saigi-Morgui, Núria Quteineh, Lina Bochud, Pierre-Yves Crettol, Severine Kutalik, Zoltán Wojtowicz, Agnieszka Bibert, Stéphanie Beckmann, Sonja Mueller, Nicolas J Binet, Isabelle van Delden, Christian Steiger, Jürg Mohacsi, Paul Stirnimann, Guido Soccal, Paola M. Pascual, Manuel Eap, Chin B PLoS One Research Article BACKGROUND: 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 (n(A) = 995, n(B) = 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. RESULTS: 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/m(2) 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. CONCLUSIONS: 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. Public Library of Science 2016-10-27 /pmc/articles/PMC5082801/ /pubmed/27788139 http://dx.doi.org/10.1371/journal.pone.0164443 Text en © 2016 Saigi-Morgui et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Saigi-Morgui, Núria
Quteineh, Lina
Bochud, Pierre-Yves
Crettol, Severine
Kutalik, Zoltán
Wojtowicz, Agnieszka
Bibert, Stéphanie
Beckmann, Sonja
Mueller, Nicolas J
Binet, Isabelle
van Delden, Christian
Steiger, Jürg
Mohacsi, Paul
Stirnimann, Guido
Soccal, Paola M.
Pascual, Manuel
Eap, Chin B
Weighted Genetic Risk Scores and Prediction of Weight Gain in Solid Organ Transplant Populations
title Weighted Genetic Risk Scores and Prediction of Weight Gain in Solid Organ Transplant Populations
title_full Weighted Genetic Risk Scores and Prediction of Weight Gain in Solid Organ Transplant Populations
title_fullStr Weighted Genetic Risk Scores and Prediction of Weight Gain in Solid Organ Transplant Populations
title_full_unstemmed Weighted Genetic Risk Scores and Prediction of Weight Gain in Solid Organ Transplant Populations
title_short Weighted Genetic Risk Scores and Prediction of Weight Gain in Solid Organ Transplant Populations
title_sort weighted genetic risk scores and prediction of weight gain in solid organ transplant populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5082801/
https://www.ncbi.nlm.nih.gov/pubmed/27788139
http://dx.doi.org/10.1371/journal.pone.0164443
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