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

Article English OPEN
Hemani, Gibran; Zheng, Jie; Elsworth, Benjamin; Wade, Kaitlin H; Haberland, Valeriia; Baird, Denis; Laurin, Charles; Burgess, Stephen; Bowden, Jack; Langdon, Ryan; Tan, Vanessa Y; Yarmolinsky, James; Shihab, Hashem A; Timpson, Nicholas J; Evans, David M; Relton, Caroline; Martin, Richard M; Davey Smith, George; Gaunt, Tom R; Haycock, Philip C;
(2018)
  • Publisher: eLife
  • Journal: volume 7issn: 2050-084X, eissn: 2050-084X
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.7554/eLife.34408, doi: 10.17863/CAM.27599, pmc: PMC5976434
  • Subject: computational biology | human biology | systems biology | /dk/atira/pure/researchoutput/pubmedpublicationtype/D016428 | /dk/atira/pure/researchoutput/pubmedpublicationtype/D013485 | /dk/atira/pure/core/keywords/icep | medicine | Tools and Resources | Research Support, Non-U.S. Gov't | GWAS | Computational and Systems Biology | ICEP | Journal Article | causal inference | human | Mendelian randomization | Human Biology and Medicine

eLife digest Our health is affected by many exposures and risk factors, including aspects of our lifestyles, our environments, and our biology. It can, however, be hard to work out the causes of health outcomes because ill-health can influence risk factors and risk fact... View more