期刊
BIOINFORMATICS
卷 30, 期 23, 页码 3432-3434出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btu564
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资金
- Alfred P. Sloan Foundation [BR2012-087]
- American Heart Association [13SDG14330006]
- W.W. Smith Charitable Trust [H1201]
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.
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