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Genome-wide investigation of exogenous female hormones, genetic variation, and venous thromboembolism risk.
Hasser, Emily K; Brody, Jennifer A; Bartz, Traci M; Thibord, Florian; Li-Gao, Ruifang; Kauko, Anni; Wiggins, Kerri L; Teder-Laving, Maris; Kim, Jihye; Munsch, Gaëlle; Haile, Helen G; Deleuze, Jean-Francois; van Hylckama Vlieg, Astrid; Wolberg, Alisa S; Boland, Anne; Morange, Pierre-Emmanuel; Kraft, Peter; Lowenstein, Charles J; Emmerich, Joseph; Sitlani, Colleen M; Suchon, Pierre; Rosendaal, Frits R; Niiranen, Teemu; Kabrhel, Christopher; Trégouët, David-Alexandre; Smith, Nicholas L.
Afiliação
  • Hasser EK; Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Brody JA; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
  • Bartz TM; Departments of Biostatistics and Medicine, University of Washington, Seattle, WA, USA.
  • Thibord F; INSERM, Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Bordeaux, France; Laboratory of Excellence on Medical Genomics (GENMED), Evry, France.
  • Li-Gao R; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Kauko A; Department of Internal Medicine, University of Turku, Turku, Finland.
  • Wiggins KL; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
  • Teder-Laving M; Institute of Genomics, University of Tartu, Tartu, Estonia.
  • Kim J; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Munsch G; INSERM, Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Bordeaux, France.
  • Haile HG; Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Deleuze JF; CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Université Paris-Saclay, Evry, France; Centre D'Etude du Polymorphisme Humain, Fondation Jean Dausset, Paris, France; Laboratory of Excellence on Medical Genomics (GENMED), Evry, France.
  • van Hylckama Vlieg A; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Wolberg AS; Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Boland A; CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Université Paris-Saclay, Evry, France; Laboratory of Excellence on Medical Genomics (GENMED), Evry, France.
  • Morange PE; Hematology Laboratory, La Timone University Hospital of Marseille, Marseille, France; Centre de recherche en CardioVasculaire et Nutrition, INSERM, INRAE, Aix-Marseille University, Marseille, France.
  • Kraft P; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Lowenstein CJ; Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Emmerich J; Department of Vascular Medicine, Saint-Joseph Hospital Group, University of Paris Cité, Paris, France; UMR1153, INSERM Centre for Research in Epidemiology and Statistics (CRESS), Paris, France.
  • Sitlani CM; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
  • Suchon P; Hematology Laboratory, La Timone University Hospital of Marseille, Marseille, France; Centre de recherche en CardioVasculaire et Nutrition, INSERM, INRAE, Aix-Marseille University, Marseille, France.
  • Rosendaal FR; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
  • Niiranen T; Department of Internal Medicine, University of Turku, Turku, Finland; Department of Internal Medicine, Division of Medicine, Turku University Hospital, Turku, Finland; Department of Public Health Solutions, Finish Institute of Health and Welfare, Helsinki, Finland.
  • Kabrhel C; Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Emergency Medicine, Harvard Medical School, Boston, MA, USA.
  • Trégouët DA; INSERM, Bordeaux Population Health Research Center, UMR 1219, University of Bordeaux, Bordeaux, France; Laboratory of Excellence on Medical Genomics (GENMED), Evry, France.
  • Smith NL; Department of Epidemiology, University of Washington, Seattle, WA, USA; Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA; Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Se
J Thromb Haemost ; 2024 May 21.
Article em En | MEDLINE | ID: mdl-38782299
ABSTRACT

BACKGROUND:

Increased risk of venous thromboembolism (VTE) is a life-threatening side effect for users of oral contraceptives (OCs) or hormone therapy (HT).

OBJECTIVES:

To investigate the potential for genetic predisposition to VTE in OC or HT users, we conducted a gene-by-environment case-only meta-analysis of genome-wide association studies (GWAS).

METHODS:

Use or nonuse of OCs (7 studies) or HT (8 studies) at the time of the VTE event was determined by pharmacy records or self-report. A synergy index (SI) was modeled for each variant in each study and submultiplicative/supramultiplicative gene-by-environment interactions were estimated. The SI parameters were first meta-analyzed across OC and HT studies and subsequently meta-analyzed to obtain an overall estimate. The primary analysis was agnostic GWAS and interrogated all imputed genotypes using a P value threshold of <5.0 × 10-8; secondary analyses were candidate-based.

RESULTS:

The VTE case-only OC meta-analysis included 2895 OC users and 6607 nonusers; the case-only HT meta-analysis included 2434 HT users and 12 793 nonusers. In primary GWAS meta-analyses, no variant reached genome-wide significance, but the smallest P value approached statistical

significance:

rs9386463 (P = 5.03 × 10-8). We tested associations for 138 candidate variants and identified 2 that exceeded statistical significance (0.05/138 = 3.62 × 10-4) F5 rs6025 (P = 1.87 × 10-5; SI, 1.29; previously observed) and F11 rs2036914 (P = 2.0 × 10-4; SI, 0.91; new observation).

CONCLUSION:

The candidate variant approach to identify submultiplictive/supramultiplicative associations between genetic variation and OC and HT use identified a new association with common genetic variation in F11, while the agnostic interrogations did not yield new discoveries.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article