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本文引用的文献
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2
Benchmarking Mendelian randomization methods for causal inference using genome-wide association study summary statistics.
Am J Hum Genet. 2024 Aug 8;111(8):1717-1735. doi: 10.1016/j.ajhg.2024.06.016. Epub 2024 Jul 25.
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Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption.
Int J Epidemiol. 2019 Jun 1;48(3):728-742. doi: 10.1093/ije/dyy258.
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An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings.
Int J Epidemiol. 2019 Jun 1;48(3):713-727. doi: 10.1093/ije/dyy262.
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The MR-Base platform supports systematic causal inference across the human phenome.
Elife. 2018 May 30;7:e34408. doi: 10.7554/eLife.34408.
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MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data.
Int J Epidemiol. 2017 Dec 1;46(6):1734-1739. doi: 10.1093/ije/dyx034.
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Mendelian randomization studies: a review of the approaches used and the quality of reporting.
Int J Epidemiol. 2015 Apr;44(2):496-511. doi: 10.1093/ije/dyv071. Epub 2015 May 6.
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Guidelines for genome-wide association studies.
PLoS Genet. 2012 Jul;8(7):e1002812. doi: 10.1371/journal.pgen.1002812. Epub 2012 Jul 5.
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Mendelian randomization: prospects, potentials, and limitations.
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