A signature of platelet reactivity in CBC scattergrams reveals genetic predictors of thrombotic disease risk
Verdier, Hippolyte; Thomas, Patrick; Batista, Joana; Kempster, Carly; McKinney, Harriet; Gleadall, Nicholas; Danesh, John; Mumford, Andrew; Heemskerk, Johan W. M.; Ouwehand, Willem H.; Downes, Kate; Astle, William J.; Turro, Ernest
Genetic studies of platelet reactivity (PR) phenotypes may identify novel antiplatelet drug targets. However, such studies have been limited by small sample sizes (n < 5000) because of the complexity of measuring PR.
We trained a model to predict PR from complete blood count (CBC) scattergrams. A genome-wide association study of this phenotype in 29 806 blood donors identified 21 distinct associations implicating 20 genes, of which 6 have been identified previously. The effect size estimates were significantly correlated with estimates from a study of flow cytometry–measured PR and a study of a phenotype of in vitro thrombus formation. A genetic score of PR built from the 21 variants was associated with the incidence rates of myocardial infarction and pulmonary embolism. Mendelian randomization analyses showed that PR was causally associated with the risks of coronary artery disease, stroke, and venous thromboembolism.
Our approach provides a blueprint for using phenotype imputation to study the determinants of hard-to-measure but biologically important hematological traits.
Key Points
• PR can be predicted from scattergrams generated by hematology analyzers of a type that is in widespread clinical use.
• Genetic analysis of predicted PR reveals associations of PR with the risk of thrombotic diseases, including stroke.
Link | PDF (Blood)
Verdier, Hippolyte; Thomas, Patrick; Batista, Joana; Kempster, Carly; McKinney, Harriet; Gleadall, Nicholas; Danesh, John; Mumford, Andrew; Heemskerk, Johan W. M.; Ouwehand, Willem H.; Downes, Kate; Astle, William J.; Turro, Ernest
Genetic studies of platelet reactivity (PR) phenotypes may identify novel antiplatelet drug targets. However, such studies have been limited by small sample sizes (n < 5000) because of the complexity of measuring PR.
We trained a model to predict PR from complete blood count (CBC) scattergrams. A genome-wide association study of this phenotype in 29 806 blood donors identified 21 distinct associations implicating 20 genes, of which 6 have been identified previously. The effect size estimates were significantly correlated with estimates from a study of flow cytometry–measured PR and a study of a phenotype of in vitro thrombus formation. A genetic score of PR built from the 21 variants was associated with the incidence rates of myocardial infarction and pulmonary embolism. Mendelian randomization analyses showed that PR was causally associated with the risks of coronary artery disease, stroke, and venous thromboembolism.
Our approach provides a blueprint for using phenotype imputation to study the determinants of hard-to-measure but biologically important hematological traits.
Key Points
• PR can be predicted from scattergrams generated by hematology analyzers of a type that is in widespread clinical use.
• Genetic analysis of predicted PR reveals associations of PR with the risk of thrombotic diseases, including stroke.
Link | PDF (Blood)