Genetically-proxied therapeutic inhibition of antihypertensive drug targets and risk of common cancers
暂无分享,去创建一个
E. E. Vincent | D. Albanes | W. Zheng | G. Casey | S. Gallinger | M. Jenkins | G. Paré | T. Richardson | H. Hampel | M. Obón-Santacana | A. Gsur | J. Yarmolinsky | V. Walker | M. Pigeyre | V. Díez-Obrero | R. Pai | J. Hampe | J. Sjaarda | Chris Amos | V. Moreno | R. M. Martin | Vanessa Y. Tan | G. D. Smith | R. Martin | Jennifer Sjaarda | E. Vincent | G. D. Smith | M. Jenkins | Virginia Díez-Obrero | G. Davey Smith | M. Pigeyre | M. Jenkins | G. Casey | V. Moreno | G. Paré | C. Amos | D. Albanes | W. Zheng | R. M. Martin | J. Hampe | V. M. Walker | V. Y. Tan | H. Hampel | R. Pai | E. Kampman | the International Lung Cancer Consortium | the PRACTICAL consortium
[1] N. Timpson,et al. Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization: The STROBE-MR Statement. , 2021, JAMA.
[2] Stephanie A. Bien,et al. Genetic Effects on Transcriptome Profiles in Colon Epithelium Provide Functional Insights for Genetic Risk Loci , 2021, Cellular and molecular gastroenterology and hepatology.
[3] M. Beckmann,et al. Mendelian randomization analyses suggest a role for cholesterol in the development of endometrial cancer , 2020, International journal of cancer.
[4] W. Seto,et al. ACE (Angiotensin-Converting Enzyme) Inhibitors/Angiotensin Receptor Blockers Are Associated With Lower Colorectal Cancer Risk , 2020, Hypertension.
[5] P. Elliott,et al. Genetically determined blood pressure, antihypertensive drug classes, and risk of stroke subtypes , 2020, Neurology.
[6] Xia Chen,et al. Renin–angiotensin system inhibitor use and colorectal cancer risk and mortality: A dose–response meta analysis , 2020, Journal of the renin-angiotensin-aldosterone system : JRAAS.
[7] K. Toutouzas,et al. Antihypertensive Drugs and Risk of Cancer. Between Scylla and Charybdis. , 2020, American journal of hypertension.
[8] Shih-Yi Lin,et al. Association between Angiotensin-Converting Enzyme Inhibitors and Lung Cancer—A Nationwide, Population-Based, Propensity Score-Matched Cohort Study , 2020, Cancers.
[9] S. Yusuf,et al. ACE and Type 2 Diabetes Risk: A Mendelian Randomization Study , 2020, Diabetes Care.
[10] C. Ulrich,et al. Circulating Levels of Insulin-like Growth Factor 1 and Insulin-like Growth Factor Binding Protein 3 Associate With Risk of Colorectal Cancer Based on Serologic and Mendelian Randomization Analyses , 2019, Gastroenterology.
[11] Y. Kamatani,et al. Identification of Novel Loci and New Risk Variant in Known Loci for Colorectal Cancer Risk in East Asians , 2019, Cancer Epidemiology, Biomarkers & Prevention.
[12] H. Brenner,et al. Modifiable pathways for colorectal cancer: a mendelian randomisation analysis , 2019, The lancet. Gastroenterology & hepatology.
[13] Mohammad Hossein Khosravi,et al. Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-Years for 29 Cancer Groups, 1990 to 2017 , 2019, JAMA oncology.
[14] P. Elliott,et al. Use of Genetic Variants Related to Antihypertensive Drugs to Inform on Efficacy and Side Effects , 2019, Circulation.
[15] P. Brennan,et al. Commentary: What can Mendelian randomization tell us about causes of cancer? , 2019, International journal of epidemiology.
[16] Aung Ko Win,et al. Association analyses identify 31 new risk loci for colorectal cancer susceptibility , 2019, Nature Communications.
[17] P. Visscher,et al. Genome-wide association study of medication-use and associated disease in the UK Biobank , 2019, Nature Communications.
[18] C. Lindgren,et al. GWAS identifies 14 loci for device-measured physical activity and sleep duration , 2018, Nature Communications.
[19] Dajiang J. Liu,et al. Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use , 2018, Nature Genetics.
[20] Mathieu Lemire,et al. Discovery of common and rare genetic risk variants for colorectal cancer , 2018, Nature Genetics.
[21] L. Sakr,et al. Angiotensin converting enzyme inhibitors and risk of lung cancer: population based cohort study , 2018, British Medical Journal.
[22] 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.
[23] Christian Gieger,et al. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits , 2018, Nature Genetics.
[24] P. Souverein,et al. Prescription patterns of angiotensin‐converting enzyme inhibitors for various indications: A UK population‐based study , 2018, British journal of clinical pharmacology.
[25] K. D. Sørensen,et al. Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci , 2018, Nature Genetics.
[26] M. Kanai,et al. Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases , 2018, Nature Genetics.
[27] 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.
[28] S. Lewis,et al. Causal Inference in Cancer Epidemiology: What Is the Role of Mendelian Randomization? , 2017, Cancer Epidemiology, Biomarkers & Prevention.
[29] Gary D Bader,et al. Association analysis identifies 65 new breast cancer risk loci , 2017, Nature.
[30] E. Zeggini,et al. Genome-wide analysis of health-related biomarkers in the UK Household Longitudinal Study reveals novel associations , 2017, Scientific Reports.
[31] Stephen Burgess,et al. Mendelian randomization with fine‐mapped genetic data: Choosing from large numbers of correlated instrumental variables , 2017, Genetic epidemiology.
[32] P. Pickhardt,et al. New insights into the earliest stages of colorectal tumorigenesis , 2017, Expert review of gastroenterology & hepatology.
[33] William S. Bush,et al. Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes , 2017, Nature Genetics.
[34] N. Sheehan,et al. A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization , 2017, Statistics in medicine.
[35] Debbie A Lawlor,et al. Triangulation in aetiological epidemiology , 2016, International journal of epidemiology.
[36] Szilard Voros,et al. Variation in PCSK9 and HMGCR and Risk of Cardiovascular Disease and Diabetes. , 2016, The New England journal of medicine.
[37] N. Risch,et al. Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation , 2016, Nature Genetics.
[38] V. Moreno,et al. The Use of Antihypertensive Medication and the Risk of Breast Cancer in a Case-Control Study in a Spanish Population: The MCC-Spain Study , 2016, PloS one.
[39] M. Pirinen,et al. Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA , 2016, Nature Communications.
[40] A. Sood,et al. Immunological and pleiotropic effects of individual β-blockers and their relevance in cancer therapies , 2016, Expert opinion on investigational drugs.
[41] Gabor T. Marth,et al. A global reference for human genetic variation , 2015, Nature.
[42] R. Brook,et al. Effect of naturally random allocation to lower low-density lipoprotein cholesterol on the risk of coronary heart disease mediated by polymorphisms in NPC1L1, HMGCR, or both: a 2 × 2 factorial Mendelian randomization study. , 2015, Journal of the American College of Cardiology.
[43] Wei-Shiang Lin,et al. Carvedilol use is associated with reduced cancer risk: A nationwide population-based cohort study. , 2015, International journal of cardiology.
[44] R. Tamimi,et al. Antihypertensive medication use and incident breast cancer in women , 2015, Breast Cancer Research and Treatment.
[45] S. Thompson,et al. Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects , 2015, American journal of epidemiology.
[46] Hynek Pikhart,et al. HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials , 2015, The Lancet.
[47] G. von Heijne,et al. Tissue-based map of the human proteome , 2015, Science.
[48] Carson C Chow,et al. Second-generation PLINK: rising to the challenge of larger and richer datasets , 2014, GigaScience.
[49] Toshiko Tanaka,et al. Novel loci affecting iron homeostasis and their effects in individuals at risk for hemochromatosis , 2014, Nature Communications.
[50] M. Muñoz,et al. Cancer progression and substance P. , 2014, Histology and histopathology.
[51] R. Díaz,et al. Integrative and Translational Physiology : Inflammation and Immunity in Organ System Physiology Angiotensin-converting enzyme and the tumor microenvironment : mechanisms beyond angiogenesis , 2013 .
[52] D. Altshuler,et al. Validating therapeutic targets through human genetics , 2013, Nature Reviews Drug Discovery.
[53] J. DiNicolantonio,et al. Not All Angiotensin-Converting Enzyme Inhibitors Are Equal: Focus on Ramipril and Perindopril , 2013, Postgraduate medicine.
[54] D. McMillan,et al. The impact of aspirin, statins and ACE-inhibitors on the presentation of colorectal neoplasia in a colorectal cancer screening programme , 2013, British Journal of Cancer.
[55] N. Marchionni,et al. Further data on beta-blockers and cancer risk: observational study and meta-analysis of randomized clinical trials , 2013, Current medical research and opinion.
[56] C. Wallace. Statistical Testing of Shared Genetic Control for Potentially Related Traits , 2013, Genetic epidemiology.
[57] A. McTiernan,et al. Use of antihypertensive medications and breast cancer risk , 2012, Cancer Causes & Control.
[58] Samy Suissa,et al. Metformin and the Risk of Cancer , 2012, Diabetes Care.
[59] H. Brenner,et al. Beta blocker use and colorectal cancer risk , 2012, Cancer.
[60] J. Hallas,et al. Long term use of drugs affecting the renin-angiotensin system and the risk of cancer: a population-based case-control study. , 2012, British journal of clinical pharmacology.
[61] V. Almendro,et al. Targeting of substance P induces cancer cell death and decreases the steady state of EGFR and Her2 , 2012, Journal of cellular physiology.
[62] T. Tammela,et al. The association between antihypertensive drug use and incidence of prostate cancer in Finland: a population-based case–control study , 2011, Cancer Causes & Control.
[63] S. Thompson,et al. Avoiding bias from weak instruments in Mendelian randomization studies. , 2011, International journal of epidemiology.
[64] Karl Swedberg,et al. Effects of telmisartan, irbesartan, valsartan, candesartan, and losartan on cancers in 15 trials enrolling 138 769 individuals , 2011, Journal of hypertension.
[65] Mahir Patel,et al. Long-term Use of Angiotensin Converting Enzyme Inhibitors Is Associated With Decreased Incidence of Advanced Adenomatous Colon Polyps , 2011, Journal of clinical gastroenterology.
[66] A. Algra,et al. Long-term effect of aspirin on colorectal cancer incidence and mortality: 20-year follow-up of five randomised trials , 2010, The Lancet.
[67] Yun Li,et al. METAL: fast and efficient meta-analysis of genomewide association scans , 2010, Bioinform..
[68] C. Ting,et al. A genome-wide association study identifies new loci for ACE activity: potential implications for response to ACE inhibitor , 2010, The Pharmacogenomics Journal.
[69] S. Haneuse,et al. Cardiovascular Medication Use and Risk for Colorectal Cancer , 2008, Cancer Epidemiology Biomarkers & Prevention.
[70] B. Heran,et al. Blood pressure lowering efficacy of angiotensin converting enzyme (ACE) inhibitors for primary hypertension. , 2008, The Cochrane database of systematic reviews.
[71] A. Ziogas,et al. Hypertension, diuretics and breast cancer risk , 2006, Journal of Human Hypertension.
[72] I. Bairati,et al. Antihypertensive Drug Use and The Risk of Prostate Cancer (Canada) , 2004, Cancer Causes & Control.
[73] O. Carretero,et al. N-acetyl-seryl-aspartyl-lysyl-proline stimulates angiogenesis in vitro and in vivo. , 2004, American journal of physiology. Heart and circulatory physiology.
[74] W. Ray,et al. Evaluating medication effects outside of clinical trials: new-user designs. , 2003, American journal of epidemiology.
[75] A. McMahon,et al. Approaches to combat with confounding by indication in observational studies of intended drug effects , 2003, Pharmacoepidemiology and drug safety.
[76] S. Ebrahim,et al. 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease? , 2003, International journal of epidemiology.
[77] A. Tenenbaum,et al. Is diuretic therapy associated with an increased risk of colon cancer? , 2001, The American journal of medicine.
[78] S. Shapiro,et al. Calcium channel blocker use and the risk of prostate cancer. , 1998, American journal of hypertension.
[79] L. Murray,et al. Do inhibitors of angiotensin-I-converting enzyme protect against risk of cancer? , 1998, The Lancet.
[80] D. Vaughan,et al. Angiotensin-converting enzyme inhibitors. , 1998, Circulation.
[81] J. Reid. From kinetics to dynamics: are there differences between ACE inhibitors? , 1997, European heart journal.
[82] V. Musini,et al. First-line drugs for hypertension. , 2018, The Cochrane database of systematic reviews.
[83] C. Joshu,et al. Early Life Exposures and Adult Cancer Risk , 2017, Epidemiologic reviews.
[84] S. Kjeldsen,et al. Antihypertensive drugs and risk of cancer: network meta-analyses and trial sequential analyses of 324,168 participants from randomised trials. , 2011, The Lancet. Oncology.
[85] M. Wallander,et al. Association between captopril, other antihypertensive drugs and risk of prostate cancer , 2004, The Prostate.
[86] P. Laurent-Puig. [Genetic alterations in colorectal cancer]. , 1994, Annales de pathologie.