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10.3945/ajcn.115.118216 http://scihub22266oqcxt.onion/10.3945/ajcn.115.118216 C4807699!4807699 !26961927     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26961927 &cmd=llinks): Failed to open stream: HTTP request failed! 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Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies |pdf=|usr=}}{{26961927 }} gab.com Text Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies JO: Am J Clin Nutr http://www.kidney.de/pget.php?&tw=1&pmid=26961927 #FOAvip Mendelian randomization (MR) is an increasingly important tool for appraising causality in observational epidemiology. The technique exploits the principle that genotypes are not generally susceptible to reverse causation bias and confounding, reflecting their fixed nature and Mendel?s first and second laws of inheritance. The approach is, however, subject to important limitations and assumptions that, if unaddressed or compounded by poor study design, can lead to erroneous conclusions. Nevertheless, the advent of 2-sample approaches (in which exposure and outcome are measured in separate samples) and the increasing availability of open-access data from large consortia of genome-wide association studies and population biobanks mean that the approach is likely to become routine practice in evidence synthesis and causal inference research. In this article we provide an overview of the design, analysis, and interpretation of MR studies, with a special emphasis on assumptions and limitations. We also consider different analytic strategies for strengthening causal inference. Although impossible to prove causality with any single approach, MR is a highly cost-effective strategy for prioritizing intervention targets for disease prevention and for strengthening the evidence base for public health policy. Twit Text FOAVip Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies ????Am J Clin Nutr http://www.kidney.de/pget.php?&tw=1&pmid=26961927 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26961927 #FOAvip English Wikipedia <ref>{{Cite pmid|26961927 }}</ref> Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies #MMPMID26961927 Haycock PC ; Burgess S ; Wade KH ; Bowden J ; Relton C ; Davey Smith G Am J Clin Nutr 2016[Apr]; 103 (4 ): 965-78 PMID26961927 show ga Mendelian randomization (MR) is an increasingly important tool for appraising causality in observational epidemiology. The technique exploits the principle that genotypes are not generally susceptible to reverse causation bias and confounding, reflecting their fixed nature and Mendel?s first and second laws of inheritance. The approach is, however, subject to important limitations and assumptions that, if unaddressed or compounded by poor study design, can lead to erroneous conclusions. Nevertheless, the advent of 2-sample approaches (in which exposure and outcome are measured in separate samples) and the increasing availability of open-access data from large consortia of genome-wide association studies and population biobanks mean that the approach is likely to become routine practice in evidence synthesis and causal inference research. In this article we provide an overview of the design, analysis, and interpretation of MR studies, with a special emphasis on assumptions and limitations. We also consider different analytic strategies for strengthening causal inference. Although impossible to prove causality with any single approach, MR is a highly cost-effective strategy for prioritizing intervention targets for disease prevention and for strengthening the evidence base for public health policy. |*Research Design [MESH] |Coronary Artery Disease/diagnosis/genetics [MESH] |Cost-Benefit Analysis [MESH] |Databases, Genetic [MESH] |Genetic Association Studies [MESH] |Genotype [MESH] |Humans [MESH] |Interleukin-6/genetics/metabolism [MESH] |Mendelian Randomization Analysis/*methods [MESH] |Polymorphism, Single Nucleotide [MESH] |Receptors, Interleukin-6/genetics/metabolism [MESH] |Reproducibility of Results [MESH]Best (but oft-forgotten) practices: the design, analysis, and interpre(epmc).pdf DeepDyve Pubget Overpricing