The MR-Base platform supports systematic causal inference across the human phenome

@inproceedings{Hemani2018TheMP,
  title={The MR-Base platform supports systematic causal inference across the human phenome},
  author={Gibran Hemani and Jie Zheng and Benjamin L. Elsworth and Kaitlin H Wade and Valeriia Haberland and Denis A Baird and Charles Laurin and Stephen Burgess and J. H. Bowden and Ryan J Langdon and Vanessa Y Tan and James Yarmolinsky and Hashem A. Shihab and Nicholas J. Timpson and David M. Evans and Caroline Relton and Richard M. Martin and George Davey Smith and Tom R. Gaunt and Philip C. Haycock},
  booktitle={eLife},
  year={2018}
}
Results from genome-wide association studies (GWAS) can be used to infer causal relationships between phenotypes, using a strategy known as 2-sample Mendelian randomization (2SMR) and bypassing the need for individual-level data. However, 2SMR methods are evolving rapidly and GWAS results are often insufficiently curated, undermining efficient implementation of the approach. We therefore developed MR-Base (http://www.mrbase.org): a platform that integrates a curated database of complete GWAS… CONTINUE READING

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