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A phenome-wide approach to identify causal risk factors for deep vein thrombosis
Deep vein thrombosis (DVT) is the formation of a blood clot in a deep vein. DVT can lead to a venous thromboembolism (VTE), the combined term for DVT and pulmonary embolism, a leading cause of death and disability worldwide. Despite the prevalence and associated morbidity of DVT, the underlying caus...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640748/ https://www.ncbi.nlm.nih.gov/pubmed/37951941 http://dx.doi.org/10.1186/s12920-023-01710-9 |
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author | Constantinescu, Andrei-Emil Bull, Caroline J. Goudswaard, Lucy J. Zheng, Jie Elsworth, Benjamin Timpson, Nicholas J. Moore, Samantha F. Hers, Ingeborg Vincent, Emma E. |
author_facet | Constantinescu, Andrei-Emil Bull, Caroline J. Goudswaard, Lucy J. Zheng, Jie Elsworth, Benjamin Timpson, Nicholas J. Moore, Samantha F. Hers, Ingeborg Vincent, Emma E. |
author_sort | Constantinescu, Andrei-Emil |
collection | PubMed |
description | Deep vein thrombosis (DVT) is the formation of a blood clot in a deep vein. DVT can lead to a venous thromboembolism (VTE), the combined term for DVT and pulmonary embolism, a leading cause of death and disability worldwide. Despite the prevalence and associated morbidity of DVT, the underlying causes are not well understood. Our aim was to leverage publicly available genetic summary association statistics to identify causal risk factors for DVT. We conducted a Mendelian randomization phenome-wide association study (MR-PheWAS) using genetic summary association statistics for 973 exposures and DVT (6,767 cases and 330,392 controls in UK Biobank). There was evidence for a causal effect of 57 exposures on DVT risk, including previously reported risk factors (e.g. body mass index—BMI and height) and novel risk factors (e.g. hyperthyroidism and varicose veins). As the majority of identified risk factors were adiposity-related, we explored the molecular link with DVT by undertaking a two-sample MR mediation analysis of BMI-associated circulating proteins on DVT risk. Our results indicate that circulating neurogenic locus notch homolog protein 1 (NOTCH1), inhibin beta C chain (INHBC) and plasminogen activator inhibitor 1 (PAI-1) influence DVT risk, with PAI-1 mediating the BMI-DVT relationship. Using a phenome-wide approach, we provide putative causal evidence that hyperthyroidism, varicose veins and BMI enhance the risk of DVT. Furthermore, the circulating protein PAI-1 has a causal role in DVT aetiology and is involved in mediating the BMI-DVT relationship. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01710-9. |
format | Online Article Text |
id | pubmed-10640748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106407482023-11-11 A phenome-wide approach to identify causal risk factors for deep vein thrombosis Constantinescu, Andrei-Emil Bull, Caroline J. Goudswaard, Lucy J. Zheng, Jie Elsworth, Benjamin Timpson, Nicholas J. Moore, Samantha F. Hers, Ingeborg Vincent, Emma E. BMC Med Genomics Research Deep vein thrombosis (DVT) is the formation of a blood clot in a deep vein. DVT can lead to a venous thromboembolism (VTE), the combined term for DVT and pulmonary embolism, a leading cause of death and disability worldwide. Despite the prevalence and associated morbidity of DVT, the underlying causes are not well understood. Our aim was to leverage publicly available genetic summary association statistics to identify causal risk factors for DVT. We conducted a Mendelian randomization phenome-wide association study (MR-PheWAS) using genetic summary association statistics for 973 exposures and DVT (6,767 cases and 330,392 controls in UK Biobank). There was evidence for a causal effect of 57 exposures on DVT risk, including previously reported risk factors (e.g. body mass index—BMI and height) and novel risk factors (e.g. hyperthyroidism and varicose veins). As the majority of identified risk factors were adiposity-related, we explored the molecular link with DVT by undertaking a two-sample MR mediation analysis of BMI-associated circulating proteins on DVT risk. Our results indicate that circulating neurogenic locus notch homolog protein 1 (NOTCH1), inhibin beta C chain (INHBC) and plasminogen activator inhibitor 1 (PAI-1) influence DVT risk, with PAI-1 mediating the BMI-DVT relationship. Using a phenome-wide approach, we provide putative causal evidence that hyperthyroidism, varicose veins and BMI enhance the risk of DVT. Furthermore, the circulating protein PAI-1 has a causal role in DVT aetiology and is involved in mediating the BMI-DVT relationship. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01710-9. BioMed Central 2023-11-11 /pmc/articles/PMC10640748/ /pubmed/37951941 http://dx.doi.org/10.1186/s12920-023-01710-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Constantinescu, Andrei-Emil Bull, Caroline J. Goudswaard, Lucy J. Zheng, Jie Elsworth, Benjamin Timpson, Nicholas J. Moore, Samantha F. Hers, Ingeborg Vincent, Emma E. A phenome-wide approach to identify causal risk factors for deep vein thrombosis |
title | A phenome-wide approach to identify causal risk factors for deep vein thrombosis |
title_full | A phenome-wide approach to identify causal risk factors for deep vein thrombosis |
title_fullStr | A phenome-wide approach to identify causal risk factors for deep vein thrombosis |
title_full_unstemmed | A phenome-wide approach to identify causal risk factors for deep vein thrombosis |
title_short | A phenome-wide approach to identify causal risk factors for deep vein thrombosis |
title_sort | phenome-wide approach to identify causal risk factors for deep vein thrombosis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640748/ https://www.ncbi.nlm.nih.gov/pubmed/37951941 http://dx.doi.org/10.1186/s12920-023-01710-9 |
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