Abstract
Background: Multi-phenotype analysis of genetically correlated phenotypes can increase the statistical power to detect loci associated with multiple traits, leading to the discovery of novel loci. This is the first study to date to comprehensively analyze the shared genetic effects within different hemostatic traits, and between these and their associated disease outcomes. Objectives: To discover novel genetic associations by combining summary data of correlated hemostatic traits and disease events. Methods: Summary statistics from genome wide-association studies (GWAS) from seven hemostatic traits (factor VII [FVII], factor VIII [FVIII], von Willebrand factor [VWF] factor XI [FXI], fibrinogen, tissue plasminogen activator [tPA], plasminogen activator inhibitor 1 [PAI-1]) and three major cardiovascular (CV) events (venous thromboembolism [VTE], coronary artery disease [CAD], ischemic stroke [IS]), were combined in 27 multi-trait combinations using metaUSAT. Genetic correlations between phenotypes were calculated using Linkage Disequilibrium Score Regression (LDSC). Newly associated loci were investigated for colocalization. We considered a significance threshold of 1.85 × 10−9 obtained after applying Bonferroni correction for the number of multi-trait combinations performed (n = 27). Results: Across the 27 multi-trait analyses, we found 4 novel pleiotropic loci (XXYLT1, KNG1, SUGP1/MAU2, TBL2/MLXIPL) that were not significant in the original individual datasets, were not described in previous GWAS for the individual traits, and that presented a common associated variant between the studied phenotypes. Conclusions: The discovery of four novel loci contributes to the understanding of the relationship between hemostasis and CV events and elucidate common genetic factors between these traits.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1331-1349 |
| Number of pages | 19 |
| Journal | Journal of Thrombosis and Haemostasis |
| Volume | 20 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 1 2022 |
Bibliographical note
Funding Information:This study is supported in part by the National Heart, Lung, and Blood Institute grants HL134894, HL139553, and HL141291. The views expressed in this manuscript are those of the authors and do not necessarily represent the views of the National Heart, Lung, and Blood Institute; the National Institutes of Health; the Department of Veterans Affairs; the United States Government or the US Department of Health and Human Services. G. Temprano-Sagrera is supported by the Pla Estratègic de Recerca i Innovació en Salut (PERIS) grant from the Catalan Department of Health for junior research personnel (SLT017/20/000100). S.M. Damrauer is supported by IK2-CX001780. M. Sabater-Lleal is supported by a Miguel Servet contract from the ISCIII Spanish Health Institute (CP17/00142) and co-financed by the European Social Fund. Data on coronary artery disease has been contributed by CARDIoGRAMplusC4D investigators and have been downloaded from www.CARDIOGRAMPLUSC4D.ORG. We thank the authors P. van der Harst and N. Verwejj who have made available the meta-analysis between CARDIoGRAMplusC4D and UK Biobank data on Mendeley (https://data.mendeley.com/datasets/gbbsrpx6bs/1). Part of the data used for this research was provided by M. Kubo and is available at the website of the National Bioscience Database Center (NBDC; https://humandbs.biosciencedbc.jp/en/hum0014-v21#cad) of the Japan Science and Technology Agency (JST). We also thank the MEGASTROKE consortium for making the IS data available at https://www.megastroke.org/. The MEGASTROKE project received funding from sources specified at http://www.megastroke.org/acknowledgments.html. Appendix A contains a list of investigators belonging to the CHARGE consortium Hemostasis Working Group that contributed to the hemostatic summary data. Appendix B contains a list of investigators from the INVENT consortium that contributed to the VTE summary data. Appendix C contains a list of investigators from the MEGASTROKE consortium that contributed to the IS summary data.
Funding Information:
This study is supported in part by the National Heart, Lung, and Blood Institute grants HL134894, HL139553, and HL141291. The views expressed in this manuscript are those of the authors and do not necessarily represent the views of the National Heart, Lung, and Blood Institute; the National Institutes of Health; the Department of Veterans Affairs; the United States Government or the US Department of Health and Human Services. G. Temprano‐Sagrera is supported by the grant from the Catalan Department of Health for junior research personnel (SLT017/20/000100). S.M. Damrauer is supported by IK2‐CX001780. M. Sabater‐Lleal is supported by a contract from the ISCIII Spanish Health Institute (CP17/00142) and co‐financed by the European Social Fund. Pla Estratègic de Recerca i Innovació en Salut (PERIS) Miguel Servet
Publisher Copyright:
© 2022 The Authors. Journal of Thrombosis and Haemostasis published by Wiley Periodicals LLC on behalf of International Society on Thrombosis and Haemostasis.
Keywords
- blood coagulation
- cardiovascular diseases
- genetic pleiotropy
- genome-wide association study
- hemostasis
