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Risk stratification integrating genetic data for factor VIII inhibitor development in patients with severe hemophilia A

Replacement therapy in severe hemophilia A leads to factor VIII (FVIII) inhibitors in 30% of patients. Factor VIII gene (F8) mutation type, a family history of inhibitors, ethnicity and intensity of treatment are established risk factors, and were included in two published prediction tools based on...

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Autores principales: Bachelet, Delphine, Albert, Thilo, Mbogning, Cyprien, Hässler, Signe, Zhang, Yuan, Schultze-Strasser, Stephan, Repessé, Yohann, Rayes, Julie, Pavlova, Anna, Pezeshkpoor, Behnaz, Liphardt, Kerstin, Davidson, Julie E., Hincelin-Méry, Agnès, Dönnes, Pierre, Lacroix-Desmazes, Sébastien, Königs, Christoph, Oldenburg, Johannes, Broët, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6564000/
https://www.ncbi.nlm.nih.gov/pubmed/31194850
http://dx.doi.org/10.1371/journal.pone.0218258
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author Bachelet, Delphine
Albert, Thilo
Mbogning, Cyprien
Hässler, Signe
Zhang, Yuan
Schultze-Strasser, Stephan
Repessé, Yohann
Rayes, Julie
Pavlova, Anna
Pezeshkpoor, Behnaz
Liphardt, Kerstin
Davidson, Julie E.
Hincelin-Méry, Agnès
Dönnes, Pierre
Lacroix-Desmazes, Sébastien
Königs, Christoph
Oldenburg, Johannes
Broët, Philippe
author_facet Bachelet, Delphine
Albert, Thilo
Mbogning, Cyprien
Hässler, Signe
Zhang, Yuan
Schultze-Strasser, Stephan
Repessé, Yohann
Rayes, Julie
Pavlova, Anna
Pezeshkpoor, Behnaz
Liphardt, Kerstin
Davidson, Julie E.
Hincelin-Méry, Agnès
Dönnes, Pierre
Lacroix-Desmazes, Sébastien
Königs, Christoph
Oldenburg, Johannes
Broët, Philippe
author_sort Bachelet, Delphine
collection PubMed
description Replacement therapy in severe hemophilia A leads to factor VIII (FVIII) inhibitors in 30% of patients. Factor VIII gene (F8) mutation type, a family history of inhibitors, ethnicity and intensity of treatment are established risk factors, and were included in two published prediction tools based on regression models. Recently investigated immune regulatory genes could also play a part in immunogenicity. Our objective is to identify bio-clinical and genetic markers for FVIII inhibitor development, taking into account potential genetic high order interactions. The study population consisted of 593 and 79 patients with hemophilia A from centers in Bonn and Frankfurt respectively. Data was collected in the European ABIRISK tranSMART database. A subset of 125 severely affected patients from Bonn with reliable information on first treatment was selected as eligible for risk stratification using a hybrid tree-based regression model (GPLTR). In the eligible subset, 58 (46%) patients developed FVIII inhibitors. Among them, 49 (84%) were “high risk” F8 mutation type. 19 (33%) had a family history of inhibitors. The GPLTR model, taking into account F8 mutation risk, family history of inhibitors and product type, distinguishes two groups of patients: a high-risk group for immunogenicity, including patients with positive HLA-DRB1*15 and genotype G/A and A/A for IL-10 rs1800896, and a low-risk group of patients with negative HLA-DRB1*15 / HLA-DQB1*02 and T/T or G/T for CD86 rs2681401. We show associations between genetic factors and the occurrence of FVIII inhibitor development in severe hemophilia A patients taking into account for high-order interactions using a generalized partially linear tree-based approach.
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spelling pubmed-65640002019-06-20 Risk stratification integrating genetic data for factor VIII inhibitor development in patients with severe hemophilia A Bachelet, Delphine Albert, Thilo Mbogning, Cyprien Hässler, Signe Zhang, Yuan Schultze-Strasser, Stephan Repessé, Yohann Rayes, Julie Pavlova, Anna Pezeshkpoor, Behnaz Liphardt, Kerstin Davidson, Julie E. Hincelin-Méry, Agnès Dönnes, Pierre Lacroix-Desmazes, Sébastien Königs, Christoph Oldenburg, Johannes Broët, Philippe PLoS One Research Article Replacement therapy in severe hemophilia A leads to factor VIII (FVIII) inhibitors in 30% of patients. Factor VIII gene (F8) mutation type, a family history of inhibitors, ethnicity and intensity of treatment are established risk factors, and were included in two published prediction tools based on regression models. Recently investigated immune regulatory genes could also play a part in immunogenicity. Our objective is to identify bio-clinical and genetic markers for FVIII inhibitor development, taking into account potential genetic high order interactions. The study population consisted of 593 and 79 patients with hemophilia A from centers in Bonn and Frankfurt respectively. Data was collected in the European ABIRISK tranSMART database. A subset of 125 severely affected patients from Bonn with reliable information on first treatment was selected as eligible for risk stratification using a hybrid tree-based regression model (GPLTR). In the eligible subset, 58 (46%) patients developed FVIII inhibitors. Among them, 49 (84%) were “high risk” F8 mutation type. 19 (33%) had a family history of inhibitors. The GPLTR model, taking into account F8 mutation risk, family history of inhibitors and product type, distinguishes two groups of patients: a high-risk group for immunogenicity, including patients with positive HLA-DRB1*15 and genotype G/A and A/A for IL-10 rs1800896, and a low-risk group of patients with negative HLA-DRB1*15 / HLA-DQB1*02 and T/T or G/T for CD86 rs2681401. We show associations between genetic factors and the occurrence of FVIII inhibitor development in severe hemophilia A patients taking into account for high-order interactions using a generalized partially linear tree-based approach. Public Library of Science 2019-06-13 /pmc/articles/PMC6564000/ /pubmed/31194850 http://dx.doi.org/10.1371/journal.pone.0218258 Text en © 2019 Bachelet 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
Bachelet, Delphine
Albert, Thilo
Mbogning, Cyprien
Hässler, Signe
Zhang, Yuan
Schultze-Strasser, Stephan
Repessé, Yohann
Rayes, Julie
Pavlova, Anna
Pezeshkpoor, Behnaz
Liphardt, Kerstin
Davidson, Julie E.
Hincelin-Méry, Agnès
Dönnes, Pierre
Lacroix-Desmazes, Sébastien
Königs, Christoph
Oldenburg, Johannes
Broët, Philippe
Risk stratification integrating genetic data for factor VIII inhibitor development in patients with severe hemophilia A
title Risk stratification integrating genetic data for factor VIII inhibitor development in patients with severe hemophilia A
title_full Risk stratification integrating genetic data for factor VIII inhibitor development in patients with severe hemophilia A
title_fullStr Risk stratification integrating genetic data for factor VIII inhibitor development in patients with severe hemophilia A
title_full_unstemmed Risk stratification integrating genetic data for factor VIII inhibitor development in patients with severe hemophilia A
title_short Risk stratification integrating genetic data for factor VIII inhibitor development in patients with severe hemophilia A
title_sort risk stratification integrating genetic data for factor viii inhibitor development in patients with severe hemophilia a
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6564000/
https://www.ncbi.nlm.nih.gov/pubmed/31194850
http://dx.doi.org/10.1371/journal.pone.0218258
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