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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...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6564000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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