A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia

Antithrombin resistance is a rare subtype of hereditary thrombophilia caused by prothrombin gene variants, leading to thrombotic disorders. Recently, the Prothrombin Belgrade variant has been reported as a specific variant that leads to antithrombin resistance in two Serbian families with thrombosis...

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Main Authors: Noël Malod-Dognin, Gaia Ceddia, Maja Gvozdenov, Branko Tomić, Sofija Dunjić Manevski, Valentina Djordjević, Nataša Pržulj
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10128975/?tool=EBI
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author Noël Malod-Dognin
Gaia Ceddia
Maja Gvozdenov
Branko Tomić
Sofija Dunjić Manevski
Valentina Djordjević
Nataša Pržulj
author_facet Noël Malod-Dognin
Gaia Ceddia
Maja Gvozdenov
Branko Tomić
Sofija Dunjić Manevski
Valentina Djordjević
Nataša Pržulj
author_sort Noël Malod-Dognin
collection DOAJ
description Antithrombin resistance is a rare subtype of hereditary thrombophilia caused by prothrombin gene variants, leading to thrombotic disorders. Recently, the Prothrombin Belgrade variant has been reported as a specific variant that leads to antithrombin resistance in two Serbian families with thrombosis. However, due to clinical data scarcity and the inapplicability of traditional genome-wide association studies (GWAS), a broader perspective on molecular and phenotypic mechanisms associated with the Prothrombin Belgrade variant is yet to be uncovered. Here, we propose an integrative framework to address the lack of genomic samples and support the genomic signal from the full genome sequences of five heterozygous subjects by integrating it with subjects’ phenotypes and the genes’ molecular interactions. Our goal is to identify candidate thrombophilia-related genes for which our subjects possess germline variants by focusing on the resulting gene clusters of our integrative framework. We applied a Non-negative Matrix Tri-Factorization-based method to simultaneously integrate different data sources, taking into account the observed phenotypes. In other words, our data-integration framework reveals gene clusters involved with this rare disease by fusing different datasets. Our results are in concordance with the current literature about antithrombin resistance. We also found candidate disease-related genes that need to be further investigated. CD320, RTEL1, UCP2, APOA5 and PROZ participate in healthy-specific or disease-specific subnetworks involving thrombophilia-annotated genes and are related to general thrombophilia mechanisms according to the literature. Moreover, the ADRA2A and TBXA2R subnetworks analysis suggested that their variants may have a protective effect due to their connection with decreased platelet activation. The results show that our method can give insights into antithrombin resistance even if a small amount of genetic data is available. Our framework is also customizable, meaning that it applies to any other rare disease.
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spelling doaj.art-52bc55a561a7478d9ae8acfd1f9324922023-04-28T05:31:54ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01184A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophiliaNoël Malod-DogninGaia CeddiaMaja GvozdenovBranko TomićSofija Dunjić ManevskiValentina DjordjevićNataša PržuljAntithrombin resistance is a rare subtype of hereditary thrombophilia caused by prothrombin gene variants, leading to thrombotic disorders. Recently, the Prothrombin Belgrade variant has been reported as a specific variant that leads to antithrombin resistance in two Serbian families with thrombosis. However, due to clinical data scarcity and the inapplicability of traditional genome-wide association studies (GWAS), a broader perspective on molecular and phenotypic mechanisms associated with the Prothrombin Belgrade variant is yet to be uncovered. Here, we propose an integrative framework to address the lack of genomic samples and support the genomic signal from the full genome sequences of five heterozygous subjects by integrating it with subjects’ phenotypes and the genes’ molecular interactions. Our goal is to identify candidate thrombophilia-related genes for which our subjects possess germline variants by focusing on the resulting gene clusters of our integrative framework. We applied a Non-negative Matrix Tri-Factorization-based method to simultaneously integrate different data sources, taking into account the observed phenotypes. In other words, our data-integration framework reveals gene clusters involved with this rare disease by fusing different datasets. Our results are in concordance with the current literature about antithrombin resistance. We also found candidate disease-related genes that need to be further investigated. CD320, RTEL1, UCP2, APOA5 and PROZ participate in healthy-specific or disease-specific subnetworks involving thrombophilia-annotated genes and are related to general thrombophilia mechanisms according to the literature. Moreover, the ADRA2A and TBXA2R subnetworks analysis suggested that their variants may have a protective effect due to their connection with decreased platelet activation. The results show that our method can give insights into antithrombin resistance even if a small amount of genetic data is available. Our framework is also customizable, meaning that it applies to any other rare disease.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10128975/?tool=EBI
spellingShingle Noël Malod-Dognin
Gaia Ceddia
Maja Gvozdenov
Branko Tomić
Sofija Dunjić Manevski
Valentina Djordjević
Nataša Pržulj
A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia
PLoS ONE
title A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia
title_full A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia
title_fullStr A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia
title_full_unstemmed A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia
title_short A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia
title_sort phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10128975/?tool=EBI
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