Multi-phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations
| Title: | Multi-phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations |
|---|---|
| Authors: | Gerard Temprano-Sagrera; Colleen M. Sitlani; Abbas Dehghan; Adam S. Heath; Alex P. Reiner; Andrew Johnson; Anne Richmond; Annette Peters; Astrid van Hylckama Vlieg; Barbara McKnight; Bruce M. Psaty; Caroline Hayward; William P. Bone; Elizabeth Holliday; John Attia; Christopher Levi; D Chasman; DP Strachan; DA Tregouet; D Mook-Kanamori; D Gill; F Thibord; FW Asselbergs; Miguel Martin-Bornez; FWG Leebeek; FR Rosendaal; G Davies; G Homuth; G Temprano; H Campbell; HA Taylor; J Bressler; JE Huffman; JI Rotter; Benjamin F. Voight; J Yao; JF Wilson; JC Bis; JM Hahn; KC Desch; LM Raffield; LF Bielak; LR Yanek; ME Kleber; Alanna C. Morrison; M Sabater-Lleal; M Mueller; M Kavousi; M Mangino; M Liu; MR Brown; MP Conomos; MA Jhun; MPM de Maat; Scott M. Damrauer; N Pankratz; PA Peyser; P Elliot; P Wei; PS Wild; PE Morange; P van der Harst; Q Yang; NQ Le; R Marioni; Paul S. de Vries; R Li; SM Damrauer; SR Cox; S Trompet; SB Felix; U Völker; W Tang; W Koenig; JW Jukema; X Guo; Nicholas L. Smith; S Lindstrom; L Wang; EN Smith; W Gordon; A van Hylckama Vlieg; M de Andrade; JA Brody; JW Pattee; J Haessler; BM Brumpton; Maria Sabater-Lleal; DI Chasman; P Suchon; MH Chen; C Turman; M Germain; KL Wiggins; J MacDonald; SK Braekkan; SM Armasu |
| Publication Year: | 2022 |
| Subject Terms: | Cardiovascular medicine and haematology; Clinical sciences; blood coagulation; cardiovascular diseases; genetic pleiotropy; genome-wide association study; hemostasis; SDG 3; Sustainable Development Goals |
| Description: | 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. |
| Document Type: | article in journal/newspaper |
| Language: | unknown |
| Relation: | 1959.13/1464416 |
| Availability: | https://figshare.com/articles/journal_contribution/Multi-phenotype_analyses_of_hemostatic_traits_with_cardiovascular_events_reveal_novel_genetic_associations/29014562 |
| Rights: | All rights reserved |
| Accession Number: | edsbas.5E89F862 |
| Database: | BASE |