Every reference with a DOI in the deposited reference list resolved to a known
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withdrawal, or removal notice.
The 85 checked references that resolve
resolves10.1016/S0140-6736(20)30045-3Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
resolves10.1136/bmj.k601Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians
resolves10.1093/ije/dyg070‘Mendelian randomization’: can genetic epidemiology contribute to understanding environmental determinants of disease?*
resolves10.1038/s41588-019-0407-xA catalog of genetic loci associated with kidney function from analyses of a million individuals
resolves10.1371/journal.pmed.1001779UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age
resolves10.1093/ije/dyr120China Kadoorie Biobank of 0.5 million people: survey methods, baseline characteristics and long-term follow-up
resolves10.1093/ije/dyx251MELODI: Mining Enriched Literature Objects to Derive Intermediates
resolves10.1017/S0033291716003172Assessing causality in associations between cannabis use and schizophrenia risk: a two-sample Mendelian randomization study
resolves10.1681/ASN.2016010098Mendelian Randomization as an Approach to Assess Causality Using Observational Data
resolves10.1002/sim.3034Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology
resolves10.1093/ije/dyv080Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression
resolves10.1093/ije/dyx102Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
resolves10.1038/ijo.2010.137C-reactive protein levels and body mass index: elucidating direction of causation through reciprocal Mendelian randomization
resolves10.1093/ije/dyt110Power and sample size calculations for Mendelian randomization studies using one genetic instrument
resolves10.1093/ije/dyu005Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome
resolves10.7554/eLife.34408The MR-Base platform supports systematic causal inference across the human phenome
resolves10.1093/ije/dyy101Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression
resolves10.1038/ng.3245Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers
resolves10.1038/ncomms10023Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
resolves10.1038/s41588-018-0184-yEfficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies
resolves10.1016/S2213-8587(17)30088-8Apolipoprotein(a) isoform size, lipoprotein(a) concentration, and coronary artery disease: a mendelian randomisation analysis
resolves10.1136/bmj.l1042Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses
resolves10.1002/gepi.22041Semiparametric methods for estimation of a nonlinear exposure‐outcome relationship using instrumental variables with application to Mendelian randomization
resolves10.1136/bmj.322.7280.226Sifting the evidence---what's wrong with significance tests? Another comment on the role of statistical methods
resolves10.1136/bmj.j2376Serum uric acid levels and multiple health outcomes: umbrella review of evidence from observational studies, randomised controlled trials, and Mendelian randomisation studies
resolves10.1159/000491808Association Between Thyroid-Stimulating Hormone and Renal Function: a Mendelian Randomization Study
resolves10.3389/fgene.2019.00415Causal Effects of Genetically Predicted Cardiovascular Risk Factors on Chronic Kidney Disease: A Two-Sample Mendelian Randomization Study
resolves10.1371/journal.pmed.1002725No causal effects of serum urate levels on the risk of chronic kidney disease: A Mendelian randomization study
resolves10.1056/NEJMoa1916624Serum Urate Lowering with Allopurinol and Kidney Function in Type 1 Diabetes
resolves10.7326/M14-0488Time-Updated Systolic Blood Pressure and the Progression of Chronic Kidney Disease
resolves10.1053/j.ajkd.2019.02.015Association Between Hypertension and Kidney Function Decline: The Atherosclerosis Risk in Communities (ARIC) Study
resolves10.1093/ajh/hpx177Longitudinal Blood Pressure Changes and Kidney Function Decline in Persons Without Chronic Kidney Disease: Findings From the MESA Study
resolves10.1016/j.kint.2020.04.044A bidirectional Mendelian randomization study supports causal effects of kidney function on blood pressure
resolves10.1093/ije/dyaa266Bias in two-sample Mendelian randomization when using heritable covariable-adjusted summary associations
resolves10.1093/ndt/gfn609Comparison of the prevalence of chronic kidney disease among different ethnicities: Beijing CKD survey and American NHANES
resolves10.1186/1471-2369-12-41The relationship of ethnicity to the prevalence and management of hypertension and associated chronic kidney disease
resolves10.1053/j.ajkd.2019.09.003US Renal Data System 2019 Annual Data Report: Epidemiology of Kidney Disease in the United States
resolves10.1016/j.kint.2016.12.013A systematic review and meta-analysis suggests obesity predicts onset of chronic kidney disease in the general population
resolves10.1186/s12882-019-1351-9Joint associations of obesity and estimated GFR with clinical outcomes: a population-based cohort study
resolves10.7326/M17-2383Microvascular Outcomes in Patients With Diabetes After Bariatric Surgery Versus Usual Care
resolves10.1038/s41467-018-07867-7Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies
resolves10.1016/j.ebiom.2016.02.032Type 2 Diabetes, Diabetes Genetic Score and Risk of Decreased Renal Function and Albuminuria: A Mendelian Randomization Study
resolves10.2337/dc19-1850Impact of Glucose Level on Micro- and Macrovascular Disease in the General Population: A Mendelian Randomization Study
resolves10.1001/jama.2011.861Temporal Trends in the Prevalence of Diabetic Kidney Disease in the United States
resolves10.1161/CIRCULATIONAHA.119.044359Evaluating the Effects of Canagliflozin on Cardiovascular and Renal Events in Patients With Type 2 Diabetes Mellitus and Chronic Kidney Disease According to Baseline HbA1c, Including Those With HbA1c <7%
resolves10.3390/toxins8120376Modified Lipids and Lipoproteins in Chronic Kidney Disease: A New Class of Uremic Toxins
resolves10.1053/j.ajkd.2017.06.011HDL Cholesterol, LDL Cholesterol, and Triglycerides as Risk Factors for CKD: A Mendelian Randomization Study
resolves10.1053/j.ajkd.2017.10.006Challenges in Interpreting Multivariable Mendelian Randomization: Might “Good Cholesterol” Be Good After All?
resolves10.1371/journal.pone.0114397Plasma Lipoprotein(a) Levels Are Associated with Mild Renal Impairment in Type 2 Diabetics Independent of Albuminuria
resolves10.1681/ASN.V111105Lipoprotein(a) Serum Concentrations and Apolipoprotein(a) Phenotypes in Mild and Moderate Renal Failure
resolves10.1053/ajkd.2002.36319Association of kidney function with serum lipoprotein(a) level: The Third National Health and Nutrition Examination Survey (1991-1994)
resolves10.1681/ASN.2004070539Chronic Kidney Disease Awareness, Prevalence, and Trends among U.S. Adults, 1999 to 2000
resolves10.1093/ije/dyx206Collider scope: when selection bias can substantially influence observed associations
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