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2 results on '"Genetic Factors for Osteoporosis Consortium"'

1. Genome-wide association studies of serum magnesium, potassium, and sodium concentrations identify six Loci influencing serum magnesium levels.

Author

Tamra E Meyer, Germaine C Verwoert, Shih-Jen Hwang, Nicole L Glazer, Albert V Smith, Frank J A van Rooij, Georg B Ehret, Eric Boerwinkle, Janine F Felix, Tennille S Leak, Tamara B Harris, Qiong Yang, Abbas Dehghan, Thor Aspelund, Ronit Katz, Georg Homuth, Thomas Kocher, Rainer Rettig, Janina S Ried, Christian Gieger, Hanna Prucha, Arne Pfeufer, Thomas Meitinger, Josef Coresh, Albert Hofman, Mark J Sarnak, Yii-Der Ida Chen, André G Uitterlinden, Aravinda Chakravarti, Bruce M Psaty, Cornelia M van Duijn, W H Linda Kao, Jacqueline C M Witteman, Vilmundur Gudnason, David S Siscovick, Caroline S Fox, Anna Köttgen, Genetic Factors for Osteoporosis Consortium, and Meta Analysis of Glucose and Insulin Related Traits Consortium

Subjects
Genetics, QH426-470
Abstract

Magnesium, potassium, and sodium, cations commonly measured in serum, are involved in many physiological processes including energy metabolism, nerve and muscle function, signal transduction, and fluid and blood pressure regulation. To evaluate the contribution of common genetic variation to normal physiologic variation in serum concentrations of these cations, we conducted genome-wide association studies of serum magnesium, potassium, and sodium concentrations using approximately 2.5 million genotyped and imputed common single nucleotide polymorphisms (SNPs) in 15,366 participants of European descent from the international CHARGE Consortium. Study-specific results were combined using fixed-effects inverse-variance weighted meta-analysis. SNPs demonstrating genome-wide significant (p

Published
2010
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2. Identifying common genetic variants in blood pressure due to polygenic pleiotropy with associated phenotypes.

Author

Andreassen, Ole A, McEvoy, Linda K, Thompson, Wesley K, Wang, Yunpeng, Reppe, Sjur, Schork, Andrew J, Zuber, Verena, Barrett-Connor, Elizabeth, Gautvik, Kaare, Aukrust, Pål, Karlsen, Tom H, Djurovic, Srdjan, Desikan, Rahul S, Dale, Anders M, and International Consortium for Blood Pressure Genome-Wide Association Studies, Genetic Factors for Osteoporosis Consortium

Subjects
International Consortium for Blood Pressure Genome-Wide Association Studies, Genetic Factors for Osteoporosis Consortium, Humans, Arthritis, Rheumatoid, Celiac Disease, Hypertension, Diabetes Mellitus, Obesity, Schizophrenia, Blood Pressure, Bone Density, Multifactorial Inheritance, Phenotype, Polymorphism, Single Nucleotide, Hyperlipidemias, Genetic Variation, Genome-Wide Association Study, Genetic Pleiotropy, arterial pressure, comorbidity, genetic pleiotropy, genome-wide association study, International Consortium for Blood Pressure Genome-Wide Association Studies, Genetic Factors for Osteoporosis Consortium, Arthritis, Rheumatoid, Polymorphism, Single Nucleotide, Genetics, Cardiovascular, Diabetes, Prevention, Nutrition, Biotechnology, Human Genome, 2.1 Biological and endogenous factors, Metabolic and Endocrine, Cardiovascular System & Hematology, Clinical Sciences, Cardiorespiratory Medicine and Haematology, Public Health and Health Services
Abstract

Blood pressure is a critical determinant of cardiovascular morbidity and mortality. It is affected by environmental factors, but has a strong heritable component. Despite recent large genome-wide association studies, few genetic risk factors for blood pressure have been identified. Epidemiological studies suggest associations between blood pressure and several diseases and traits, which may partly arise from a shared genetic basis (genetic pleiotropy). Using genome-wide association studies summary statistics and a genetic pleiotropy-informed conditional false discovery rate method, we systematically investigated genetic overlap between systolic blood pressure (SBP) and 12 comorbid traits and diseases. We found significant enrichment of single nucleotide polymorphisms associated with SBP as a function of their association with body mass index, low-density lipoprotein, waist/hip ratio, schizophrenia, bone mineral density, type 1 diabetes mellitus, and celiac disease. In contrast, the magnitude of enrichment due to shared polygenic effects was smaller with the other phenotypes (triglycerides, high-density lipoproteins, type 2 diabetes mellitus, rheumatoid arthritis, and height). Applying the conditional false discovery rate method to the enriched phenotypes, we identified 62 loci associated with SBP (false discovery rate

Published
2014

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