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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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. |
format | Online Article Text |
id | pubmed-5082801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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