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Multi-ancestry polygenic risk scores for venous thromboembolism.
Jee, Yon Ho; Thibord, Florian; Dominguez, Alicia; Sept, Corriene; Boulier, Kristin; Venkateswaran, Vidhya; Ding, Yi; Cherlin, Tess; Verma, Shefali Setia; Faro, Valeria Lo; Bartz, Traci M; Boland, Anne; Brody, Jennifer A; Deleuze, Jean-Francois; Emmerich, Joseph; Germain, Marine; Johnson, Andrew D; Kooperberg, Charles; Morange, Pierre-Emmanuel; Pankratz, Nathan; Psaty, Bruce M; Reiner, Alexander P; Smadja, David M; Sitlani, Colleen M; Suchon, Pierre; Tang, Weihong; Trégouët, David-Alexandre; Zöllner, Sebastian; Pasaniuc, Bogdan; Damrauer, Scott M; Sanna, Serena; Snieder, Harold; Kabrhel, Christopher; Smith, Nicholas L; Kraft, Peter.
Afiliação
  • Jee YH; Department of Epidemiology, Harvard T.H. Chan School of Public Health, MA, USA.
  • Thibord F; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, MD, USA.
  • Dominguez A; The Framingham Heart Study, 73 Mt. Wayte Ave, Suite #2, Framingham, MA, 01702 USA.
  • Sept C; Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
  • Boulier K; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
  • Venkateswaran V; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA.
  • Ding Y; Department of Oral Biology, University of California Los Angeles School of Dentistry, Los Angeles, CA, USA.
  • Cherlin T; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA, USA.
  • Verma SS; Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Faro VL; Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
  • Bartz TM; Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Boland A; Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
  • Brody JA; Cardiovascular Health Research Unit, Departments of Biostatistics and Medicine, University of Washington, 4333 Brooklyn Ave, Seattle, WA 98195.
  • Deleuze JF; Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France.
  • Emmerich J; Laboratory of Excellence in Medical Genomics, GENMED, Evry, France.
  • Germain M; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, 4333 Brooklyn Ave, Seattle, WA 98195.
  • Johnson AD; Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine, Evry, France.
  • Kooperberg C; Laboratory of Excellence in Medical Genomics, GENMED, Evry, France.
  • Morange PE; Centre d'Etude du Polymorphisme Humain, Fondation Jean Dausset, Paris, France.
  • Pankratz N; Department of Vascular Medicine, Paris Saint-Joseph Hospital Group, University of Paris, Paris, France.
  • Psaty BM; UMR1153, INSERM CRESS, Paris, France.
  • Reiner AP; University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France.
  • Smadja DM; Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, MD, USA.
  • Sitlani CM; The Framingham Heart Study, 73 Mt. Wayte Ave, Suite #2, Framingham, MA, 01702 USA.
  • Suchon P; Division of Public Health Sciences, Fred Hutchinbson Cancer Center, Seattle WA 98109.
  • Tang W; Aix-Marseille University, INSERM, INRAE, Centre de Recherche en CardioVasculaire et Nutrition, Laboratory of Haematology, CRB Assistance Publique - Hôpitaux de Marseille, HemoVasc, Marseille, France.
  • Trégouët DA; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, 55455, USA.
  • Zöllner S; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, 4333 Brooklyn Ave, Seattle, WA 98195.
  • Pasaniuc B; Department of Epidemiology, University of Washington, 4333 Brooklyn Ave, Seattle, WA 98195.
  • Damrauer SM; Department of Health Systems and Population Health, University of Washington, 4333 Brooklyn Ave, Seattle, WA 98195.
  • Sanna S; Department of Epidemiology, University of Washington, 4333 Brooklyn Ave, Seattle, WA 98195.
  • Snieder H; Division of Public Health Sciences, Fred Hutchinbson Cancer Center, Seattle WA 98109.
  • Kabrhel C; Hematology Department and Biosurgical Research Lab (Carpentier Foundation), Assistance Publique Hôpitaux de Paris, Centre-Université de Paris (APHP-CUP), F-75015 Paris, France.
  • Smith NL; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, 4333 Brooklyn Ave, Seattle, WA 98195.
  • Kraft P; Aix-Marseille University, INSERM, INRAE, Centre de Recherche en CardioVasculaire et Nutrition, Laboratory of Haematology, CRB Assistance Publique - Hôpitaux de Marseille, HemoVasc, Marseille, France.
medRxiv ; 2024 Jan 10.
Article em En | MEDLINE | ID: mdl-38260294
ABSTRACT
Venous thromboembolism (VTE) is a significant contributor to morbidity and mortality, with large disparities in incidence rates between Black and White Americans. Polygenic risk scores (PRSs) limited to variants discovered in genome-wide association studies in European-ancestry samples can identify European-ancestry individuals at high risk of VTE. However, there is limited evidence on whether high-dimensional PRS constructed using more sophisticated methods and more diverse training data can enhance the predictive ability and their utility across diverse populations. We developed PRSs for VTE using summary statistics from the International Network against Venous Thrombosis (INVENT) consortium GWAS meta-analyses of European- (71,771 cases and 1,059,740 controls) and African-ancestry samples (7,482 cases and 129,975 controls). We used LDpred2 and PRSCSx to construct ancestry-specific and multi-ancestry PRSs and evaluated their performance in an independent European- (6,261 cases and 88,238 controls) and African-ancestry sample (1,385 cases and 12,569 controls). Multi-ancestry PRSs with weights tuned in European- and African-ancestry samples, respectively, outperformed ancestry-specific PRSs in European- (PRSCSXEUR AUC=0.61 (0.60, 0.61), PRSCSX_combinedEUR AUC=0.61 (0.60, 0.62)) and African-ancestry test samples (PRSCSXAFR AUC=0.58 (0.57, 0.6), PRSCSX_combined AFR AUC=0.59 (0.57, 0.60)). The highest fifth percentile of the best-performing PRS was associated with 1.9-fold and 1.68-fold increased risk for VTE among European- and African-ancestry subjects, respectively, relative to those in the middle stratum. These findings suggest that the multi-ancestry PRS may be used to identify individuals at highest risk for VTE and provide guidance for the most effective treatment strategy across diverse populations.

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 6_ODS3_enfermedades_notrasmisibles Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Ano de publicação: 2024 Tipo de documento: Article