{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,21]],"date-time":"2025-09-21T18:03:40Z","timestamp":1758477820871},"reference-count":15,"publisher":"Oxford University Press (OUP)","issue":"23","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,12,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: I present MR_predictor, a simulation engine designed to guide the development and interpretation of statistical tests of causality between phenotypes using genetic instruments. MR_predictor provides a framework to model either individual traits or complex scenarios where multiple phenotypes are correlated or dependent on each other. Crucially, MR_predictor can incorporate the effects of multiple biallelic loci (linked or unlinked) contributing genotypic variability to one or more simulated phenotypes. The software has a range of options for sample generation, and output files generated by MR_predictor port into commonly used analysis tools (e.g. PLINK, R), facilitating analyses germane for Mendelian Randomization studies. Benchmarks for speed and power calculations for summary statistic-based Mendelian Randomization analyses are presented and compared with analytical expectation.<\/jats:p>\n               <jats:p>Availability and implementation: The simulation engine is implemented in PERL, and the associated scripts can be downloaded from github.com, and online documentation, tutorial and example datasets are available at http:\/\/coruscant.itmat.upenn.edu\/mr_predictor.<\/jats:p>\n               <jats:p>Contact: bvoight@upenn.edu<\/jats:p>\n               <jats:p>Supplementary information: Supplementary derivations are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btu564","type":"journal-article","created":{"date-parts":[[2014,8,28]],"date-time":"2014-08-28T02:52:42Z","timestamp":1409194362000},"page":"3432-3434","source":"Crossref","is-referenced-by-count":9,"title":["MR_predictor: a simulation engine for Mendelian Randomization studies"],"prefix":"10.1093","volume":"30","author":[{"given":"Benjamin F.","family":"Voight","sequence":"first","affiliation":[{"name":"1 Department of Pharmacology and 2Department of Genetics, University of Pennsylvania - Perelman School of Medicine, Philadelphia, PA 19143, USA"},{"name":"1 Department of Pharmacology and 2Department of Genetics, University of Pennsylvania - Perelman School of Medicine, Philadelphia, PA 19143, USA"}]}],"member":"286","published-online":{"date-parts":[[2014,8,26]]},"reference":[{"key":"2023012712024722400_btu564-B1","doi-asserted-by":"crossref","first-page":"1497","DOI":"10.1093\/ije\/dyt179","article-title":"Calculating statistical power in mendelian randomization studies","volume":"42","author":"Brion","year":"2013","journal-title":"Int. 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