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Inference of Causal Relationships Between Genetic Risk Factors for Cardiometabolic Phenotypes and Female-Specific Health Conditions.
Xiao, Brenda; Velez Edwards, Digna R; Lucas, Anastasia; Drivas, Theodore; Gray, Kathryn; Keating, Brendan; Weng, Chunhua; Jarvik, Gail P; Hakonarson, Hakon; Kottyan, Leah; Elhadad, Noemie; Wei, Wei-Qi; Luo, Yuan; Kim, Dokyoon; Ritchie, Marylyn; Verma, Shefali Setia.
Afiliação
  • Xiao B; Graduate Program in Genomics and Computational Biology University of Pennsylvania Philadelphia PA.
  • Velez Edwards DR; Division of Quantitative Sciences, Department of Obstetrics and Gynecology Vanderbilt University Medical Center Nashville TN.
  • Lucas A; Department of Genetics University of Pennsylvania Philadelphia PA.
  • Drivas T; Department of Genetics University of Pennsylvania Philadelphia PA.
  • Gray K; Department of Obstetrics and Gynecology Brigham and Women's Hospital Boston MA.
  • Keating B; Department of Surgery University of Pennsylvania Philadelphia PA.
  • Weng C; Department of Biomedical Informatics Columbia University New York NY.
  • Jarvik GP; Departments of Medicine (Medical Genetics) and Genome Sciences University of Washington Medical Center Seattle WA.
  • Hakonarson H; Center for Applied Genomics, Children's Hospital of Philadelphia Philadelphia PA.
  • Kottyan L; Center for Autoimmune Genomics and Etiology and Division of Allergy & Immunology, Cincinnati Children's Hospital Medical Center, Department of Pediatrics University of Cincinnati OH.
  • Elhadad N; Department of Biomedical Informatics Columbia University New York NY.
  • Wei WQ; Department of Biomedical Informatics Vanderbilt University Medical Center Nashville TN.
  • Luo Y; Department of Preventive Medicine, Feinberg School of Medicine Northwestern University Evanston IL.
  • Kim D; Department of Biostatistics and Epidemiology University of Pennsylvania Philadelphia PA.
  • Ritchie M; Department of Genetics University of Pennsylvania Philadelphia PA.
  • Verma SS; Department of Pathology and Laboratory Medicine University of Pennsylvania Philadelphia PA.
J Am Heart Assoc ; 12(5): e026561, 2023 03 07.
Article em En | MEDLINE | ID: mdl-36846987
ABSTRACT
Background Cardiometabolic diseases are highly comorbid, but their relationship with female-specific or overwhelmingly female-predominant health conditions (breast cancer, endometriosis, pregnancy complications) is understudied. This study aimed to estimate the cross-trait genetic overlap and influence of genetic burden of cardiometabolic traits on health conditions unique to women. Methods and Results Using electronic health record data from 71 008 ancestrally diverse women, we examined relationships between 23 obstetrical/gynecological conditions and 4 cardiometabolic phenotypes (body mass index, coronary artery disease, type 2 diabetes, and hypertension) by performing 4 analyses (1) cross-trait genetic correlation analyses to compare genetic architecture, (2) polygenic risk score-based association tests to characterize shared genetic effects on disease risk, (3) Mendelian randomization for significant associations to assess cross-trait causal relationships, and (4) chronology analyses to visualize the timeline of events unique to groups of women with high and low genetic burden for cardiometabolic traits and highlight the disease prevalence in risk groups by age. We observed 27 significant associations between cardiometabolic polygenic scores and obstetrical/gynecological conditions (body mass index and endometrial cancer, body mass index and polycystic ovarian syndrome, type 2 diabetes and gestational diabetes, type 2 diabetes and polycystic ovarian syndrome). Mendelian randomization analysis provided additional evidence of independent causal effects. We also identified an inverse association between coronary artery disease and breast cancer. High cardiometabolic polygenic scores were associated with early development of polycystic ovarian syndrome and gestational hypertension. Conclusions We conclude that polygenic susceptibility to cardiometabolic traits is associated with elevated risk of certain female-specific health conditions.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome do Ovário Policístico / Doença da Artéria Coronariana / Diabetes Mellitus Tipo 2 Tipo de estudo: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome do Ovário Policístico / Doença da Artéria Coronariana / Diabetes Mellitus Tipo 2 Tipo de estudo: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article