Evaluating the cardiovascular safety of sclerostin inhibition using evidence from meta-analysis of clinical trials and human genetics
暂无分享,去创建一个
R. Mägi | C. Lindgren | B. Neale | T. Ferreira | C. A. Glastonbury | Chia-Yen Chen | L. Milani | S. Pulit | G. Smith | Zhengming Chen | Liming Li | M. Holmes | I. Millwood | R. Walters | Kuang Lin | C. Glastonbury | J. Censin | S. Laber | R. Boxall | K. Krebs | J. Bovijn | Ruth Boxall | Samantha Laber | Kristi Krebs
[1] C. Farber,et al. Identification of a core module for bone mineral density through the integration of a co-expression network and GWAS data , 2019, bioRxiv.
[2] Natalie S Blencowe,et al. RoB 2: a revised tool for assessing risk of bias in randomised trials , 2019, BMJ.
[3] Michael J. Gloudemans,et al. Abundant associations with gene expression complicate GWAS follow-up , 2019, Nature Genetics.
[4] Benjamin A. Logsdon,et al. Gene expression imputation across multiple brain regions provides insights into schizophrenia risk , 2019, Nature Genetics.
[5] M. Holmes. Human Genetics and Drug Development. , 2019, The New England journal of medicine.
[6] Nadine Kaesler,et al. Sclerostin in chronic kidney disease-mineral bone disorder think first before you block it! , 2019, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.
[7] A. Pitsillides,et al. Sost Haploinsufficiency Provokes Peracute Lethal Cardiac Tamponade without Rescuing the Osteopenia in a Mouse Model of Excess Glucocorticoids , 2019, The American journal of pathology.
[8] D. MacArthur,et al. Deep phenotyping of a healthy human HAO1 knockout informs therapeutic development for primary hyperoxaluria type 1 , 2019, bioRxiv.
[9] E. Zeggini,et al. Mendelian Randomization Analysis Reveals a Causal Influence of Circulating Sclerostin Levels on Bone Mineral Density and Fractures , 2019, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[10] K. Lei,et al. Bone metabolism markers are associated with neck circumference in adult Arab women , 2019, Osteoporosis International.
[11] Julian M. W. Quinn,et al. An atlas of genetic influences on osteoporosis in humans and mice , 2018, Nature Genetics.
[12] Lauren S. Mogil,et al. Genetically regulated gene expression underlies lipid traits in Hispanic cohorts , 2018, bioRxiv.
[13] Katherine M. Siewert,et al. Bivariate Genome-Wide Association Scan Identifies 6 Novel Loci Associated With Lipid Levels and Coronary Artery Disease , 2018, Circulation. Genomic and precision medicine.
[14] L. Brudin,et al. Alterations in bone turnover markers in patients with noncardio-embolic ischemic stroke , 2018, PloS one.
[15] Yu-Chi Chang,et al. Serum levels of sclerostin as a potential biomarker in central arterial stiffness among hypertensive patients , 2018, BMC Cardiovascular Disorders.
[16] S. Elshaer,et al. Serum sclerostin and irisin as predictive markers for atherosclerosis in Egyptian type II diabetic female patients: A case control study , 2018, PloS one.
[17] Dermot F. Reilly,et al. Phenome-wide association studies across large population cohorts support drug target validation , 2018, Nature Communications.
[18] Anthony J. Payne,et al. Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps , 2018, Nature Genetics.
[19] Christopher D. Brown,et al. Genetic and Epigenetic Fine Mapping of Complex Trait Associated Loci in the Human Liver , 2018, bioRxiv.
[20] P. Donnelly,et al. The UK Biobank resource with deep phenotyping and genomic data , 2018, Nature.
[21] Christian Gieger,et al. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits , 2018, Nature Genetics.
[22] D. Kiel,et al. Assessment of the genetic and clinical determinants of fracture risk: genome wide association and mendelian randomisation study , 2018, British Medical Journal.
[23] Tanya M. Teslovich,et al. Biobank-driven genomic discovery yields new insight into atrial fibrillation biology , 2018, Nature Genetics.
[24] G. Davey Smith,et al. Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians , 2018, British Medical Journal.
[25] James R. Staley,et al. Association of LPA Variants With Risk of Coronary Disease and the Implications for Lipoprotein(a)-Lowering Therapies: A Mendelian Randomization Analysis , 2018, JAMA cardiology.
[26] C. García-Fontana,et al. Circulating levels of sclerostin are associated with cardiovascular mortality , 2018, PloS one.
[27] P. Miller,et al. A Phase III Randomized Placebo-Controlled Trial to Evaluate Efficacy and Safety of Romosozumab in Men With Osteoporosis , 2018, The Journal of clinical endocrinology and metabolism.
[28] Samuel E. Jones,et al. Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry , 2018, bioRxiv.
[29] Orestis Efthimiou,et al. Practical guide to the meta-analysis of rare events , 2018, Evidence Based Journals.
[30] Andrew D. Johnson,et al. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes , 2018, Nature Genetics.
[31] Weiyuan Ye,et al. Computational and functional characterization of four SNPs in the SOST locus associated with osteoporosis. , 2018, Bone.
[32] George Davey Smith,et al. Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference , 2018, Nature Communications.
[33] B. Ference. How to use Mendelian randomization to anticipate the results of randomized trials. , 2018, European heart journal.
[34] Andrew D. Johnson,et al. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes , 2018, Nature Genetics.
[35] Kaur Alasoo,et al. Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response , 2018, Nature Genetics.
[36] J. Schousboe,et al. Romosozumab versus Alendronate and Fracture Risk in Women with Osteoporosis. , 2018, The New England journal of medicine.
[37] Dermot F. Reilly,et al. Association of CETP Gene Variants With Risk for Vascular and Nonvascular Diseases Among Chinese Adults , 2017, JAMA cardiology.
[38] G. Loots,et al. Genetics of Sost/SOST in sclerosteosis and van Buchem disease animal models. , 2017, Metabolism: clinical and experimental.
[39] R. Tomlinson,et al. Sclerostin influences body composition by regulating catabolic and anabolic metabolism in adipocytes , 2017, Proceedings of the National Academy of Sciences.
[40] S. Khosla,et al. Osteoporosis treatment: recent developments and ongoing challenges. , 2017, The lancet. Diabetes & endocrinology.
[41] Nicola J. Rinaldi,et al. Genetic effects on gene expression across human tissues , 2017, Nature.
[42] A. Grauer,et al. Romosozumab increases bone mineral density in postmenopausal Japanese women with osteoporosis: A phase 2 study. , 2017, Bone.
[43] A. Grauer,et al. Romosozumab or Alendronate for Fracture Prevention in Women with Osteoporosis , 2017, The New England journal of medicine.
[44] C. Rosen. Romosozumab - Promising or Practice Changing? , 2017, The New England journal of medicine.
[45] Jacqueline K. White,et al. Identification of 153 new loci associated with heel bone mineral density and functional involvement of GPC6 in osteoporosis , 2017, Nature Genetics.
[46] Asher Mullard. FDA rejects first-in-class osteoporosis drug , 2017, Nature reviews. Drug discovery.
[47] Asher Mullard. FDA approves first-in-class cancer metabolism drug , 2017, Nature reviews. Drug discovery.
[48] Christian Gieger,et al. Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis , 2017, PLoS Medicine.
[49] M. McCarthy,et al. Bone mineral density and risk of type 2 diabetes and coronary heart disease: A Mendelian randomization study , 2017, Wellcome open research.
[50] S. Khosla,et al. Cathepsin K Inhibitors for Osteoporosis: Biology, Potential Clinical Utility, and Lessons Learned , 2017, Endocrine reviews.
[51] I. Reid. Targeting Sclerostin in Postmenopausal Osteoporosis: Focus on Romosozumab and Blosozumab , 2017, BioDrugs.
[52] J. Danesh,et al. Association analyses based on false discovery rate implicate new loci for coronary artery disease , 2017, Nature Genetics.
[53] Tom R. Gaunt,et al. Causal Associations of Adiposity and Body Fat Distribution With Coronary Heart Disease, Stroke Subtypes, and Type 2 Diabetes Mellitus: A Mendelian Randomization Analysis , 2017, Circulation.
[54] R. Roubenoff,et al. Efficacy of anti-sclerostin monoclonal antibody BPS804 in adult patients with hypophosphatasia , 2017, The Journal of clinical investigation.
[55] Audrey Y. Chu,et al. 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function , 2017, Scientific Reports.
[56] R. Mägi,et al. Improved imputation accuracy of rare and low-frequency variants using population-specific high-coverage WGS-based imputation reference panel , 2017, European Journal of Human Genetics.
[57] T. D. de Villiers. The quest for new drugs to prevent osteoporosis-related fractures , 2017, Climacteric : the journal of the International Menopause Society.
[58] M. McClung. Clinical utility of anti-sclerostin antibodies. , 2017, Bone.
[59] G. Loots,et al. Wnt Signaling Pathway Inhibitor Sclerostin Inhibits Angiotensin II–Induced Aortic Aneurysm and Atherosclerosis , 2017, Arteriosclerosis, Thrombosis and Vascular Biology.
[60] P. Doshi,et al. Contribution of industry funded post-marketing studies to drug safety: survey of notifications submitted to regulatory agencies , 2017, British Medical Journal.
[61] Neil M Davies,et al. Mendelian randomization: a novel approach for the prediction of adverse drug events and drug repurposing opportunities , 2017, bioRxiv.
[62] Hynek Pikhart,et al. PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study , 2017, The lancet. Diabetes & endocrinology.
[63] D. Kiel,et al. Association of Circulating Wnt Antagonists With Severe Abdominal Aortic Calcification in Elderly Women , 2017, Journal of the Endocrine Society.
[64] Debbie A Lawlor,et al. Triangulation in aetiological epidemiology , 2016, International journal of epidemiology.
[65] A. Grauer,et al. Romosozumab Treatment in Postmenopausal Women with Osteoporosis. , 2016, The New England journal of medicine.
[66] W. Spiering,et al. Bisphosphonates for cardiovascular risk reduction: A systematic review and meta-analysis. , 2016, Atherosclerosis.
[67] Sara M. Willems,et al. Genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease , 2016 .
[68] Nich Wattanasin,et al. The Biobank Portal for Partners Personalized Medicine: A Query Tool for Working with Consented Biobank Samples, Genotypes, and Phenotypes Using i2b2 , 2016, Journal of personalized medicine.
[69] Tom R. Gaunt,et al. Edinburgh Research Explorer Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function , 2022 .
[70] D. MacArthur,et al. An eMERGE Clinical Center at Partners Personalized Medicine , 2016, Journal of personalized medicine.
[71] James Y. Zou. Analysis of protein-coding genetic variation in 60,706 humans , 2015, Nature.
[72] D. Black,et al. Clinical Practice. Postmenopausal Osteoporosis. , 2005, The New England journal of medicine.
[73] L. Wain,et al. Novel insights into the genetics of smoking behaviour, lung function, and chronic obstructive pulmonary disease (UK BiLEVE): a genetic association study in UK Biobank , 2015, The Lancet. Respiratory medicine.
[74] Beth Wilmot,et al. Edinburgh Explorer Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture , 2022 .
[75] J. Danesh,et al. A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease , 2016 .
[76] James R. Rogers,et al. Bisphosphonates and Risk of Cardiovascular Events: A Meta-Analysis , 2015, PloS one.
[77] Ross M. Fraser,et al. Genetic studies of body mass index yield new insights for obesity biology , 2015, Nature.
[78] R. Recker,et al. A Randomized, Double‐Blind Phase 2 Clinical Trial of Blosozumab, a Sclerostin Antibody, in Postmenopausal Women with Low Bone Mineral Density , 2015, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[79] Bjarni V. Halldórsson,et al. Methylation of Bone SOST, Its mRNA, and Serum Sclerostin Levels Correlate Strongly With Fracture Risk in Postmenopausal Women , 2015, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[80] Hynek Pikhart,et al. HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials , 2015, The Lancet.
[81] Tamara S. Roman,et al. New genetic loci link adipose and insulin biology to body fat distribution , 2014, Nature.
[82] R. Collins,et al. Abstract 16532: Impact of Systolic Blood Pressure on Cardiovascular Disease in a Chinese Population: A Mendelian Randomization Study , 2014 .
[83] Michael B Bracken,et al. Is animal research sufficiently evidence based to be a cornerstone of biomedical research? , 2014, BMJ : British Medical Journal.
[84] P. D’Haese,et al. Romosozumab in postmenopausal women with osteopenia. , 2014, The New England journal of medicine.
[85] D. Kiel,et al. RANKL Inhibition With Denosumab Does Not Influence 3‐Year Progression of Aortic Calcification or Incidence of Adverse Cardiovascular Events in Postmenopausal Women With Osteoporosis and High Cardiovascular Risk , 2014, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[86] Cesar Libanati,et al. Romosozumab in postmenopausal women with low bone mineral density , 2014, The New England journal of medicine.
[87] C. Wallace,et al. Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics , 2013, PLoS genetics.
[88] Tom R. Gaunt,et al. Secretory Phospholipase A2-IIA and Cardiovascular Disease , 2013, Journal of the American College of Cardiology.
[89] L. Schurgers,et al. Relationship between sclerostin and cardiovascular calcification in hemodialysis patients: a cross-sectional study , 2013, BMC Nephrology.
[90] Tanya M. Teslovich,et al. Discovery and refinement of loci associated with lipid levels , 2013, Nature Genetics.
[91] D. Altshuler,et al. Validating therapeutic targets through human genetics , 2013, Nature Reviews Drug Discovery.
[92] P. D’Haese,et al. Sclerostin: Another vascular calcification inhibitor? , 2013, The Journal of clinical endocrinology and metabolism.
[93] Kathleen F. Kerr,et al. Genetics of coronary artery calcification among African Americans, a meta-analysis , 2013, BMC Medical Genetics.
[94] Claude Bouchard,et al. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance , 2012, Nature Genetics.
[95] M. Cankurtaran,et al. Coexistence of osteoporosis (OP) and coronary artery disease (CAD) in the elderly: it is not just a by chance event. , 2012, Archives of gerontology and geriatrics.
[96] P. Visscher,et al. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits , 2012, Nature Genetics.
[97] Manolis Kellis,et al. HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants , 2011, Nucleic Acids Res..
[98] R. Collins,et al. China Kadoorie Biobank of 0.5 million people: survey methods, baseline characteristics and long-term follow-up. , 2011, International journal of epidemiology.
[99] D. Towler,et al. The regulation of valvular and vascular sclerosis by osteogenic morphogens. , 2011, Circulation research.
[100] J. Millán,et al. The Appearance and Modulation of Osteocyte Marker Expression during Calcification of Vascular Smooth Muscle Cells , 2011, PloS one.
[101] S. Polyzos,et al. Serum sclerostin levels positively correlate with lumbar spinal bone mineral density in postmenopausal women—the six-month effect of risedronate and teriparatide , 2011, Osteoporosis International.
[102] Josyf Mychaleckyj,et al. Robust relationship inference in genome-wide association studies , 2010, Bioinform..
[103] Witold R. Rudnicki,et al. Feature Selection with the Boruta Package , 2010 .
[104] Wolfgang Viechtbauer,et al. Conducting Meta-Analyses in R with the metafor Package , 2010 .
[105] O. Mäkitie,et al. Low density lipoprotein receptor‐related protein 5 (LRP5) mutations and osteoporosis, impaired glucose metabolism and hypercholesterolaemia , 2010, Clinical endocrinology.
[106] D. Moher,et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement , 2009, BMJ.
[107] D. Resnik. Postmarketing Research and Surveillance: Issues and Challenges. , 2008, Monitor.
[108] S. Boonen,et al. Zoledronic acid and clinical fractures and mortality after hip fracture. , 2007, The New England journal of medicine.
[109] Jayaram Radhakrishnan,et al. LRP6 Mutation in a Family with Early Coronary Disease and Metabolic Risk Factors , 2007, Science.
[110] Jonathan J Deeks,et al. Much ado about nothing: a comparison of the performance of meta‐analytical methods with rare events , 2007, Statistics in medicine.
[111] S. Cummings,et al. Relationship Between Osteoporosis and Cardiovascular Disease in Postmenopausal Women , 2005, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[112] Nuala A Sheehan,et al. Adjusting for treatment effects in studies of quantitative traits: antihypertensive therapy and systolic blood pressure , 2005, Statistics in medicine.
[113] Peng Liu,et al. Sclerostin Binds to LRP5/6 and Antagonizes Canonical Wnt Signaling* , 2005, Journal of Biological Chemistry.
[114] D. Ovcharenko,et al. Genomic deletion of a long-range bone enhancer misregulates sclerostin in Van Buchem disease. , 2005, Genome research.
[115] Alexander J Sutton,et al. What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of sparse data. , 2004, Statistics in medicine.
[116] D. Galas,et al. Bone dysplasia sclerosteosis results from loss of the SOST gene product, a novel cystine knot-containing protein. , 2001, American journal of human genetics.
[117] A. Silman,et al. Validity of Self-Report of Fractures: Results from a Prospective Study in Men and Women Across Europe , 2000, Osteoporosis International.