Mendelian randomization for cardiovascular diseases: principles and applications
Uppsala University · Karolinska Institutet · +7 more institutions
Abstract
Large-scale genome-wide association studies conducted over the last decade have uncovered numerous genetic variants associated with cardiometabolic traits and risk factors. These discoveries have enabled the Mendelian randomization (MR) design, which uses genetic variation as a natural experiment to improve causal inferences from observational data. By analogy with the random assignment of treatment in randomized controlled trials, the random segregation of genetic alleles when DNA is transmitted from parents to offspring at gamete formation is expected to reduce confounding in genetic associations. Mendelian randomization analyses make a set of assumptions that must hold for valid results. Provided that the…
Citation impact
- FWCI
- 199.80
- Percentile
- 100%
- References
- 129
Authors
3- SCSusanna C. LarssonCorresponding
Uppsala University, Karolinska Institutet
- ASAdam S. Butterworth
NHS Blood and Transplant, University of Cambridge, Papworth Hospital, British Heart Foundation, Health Data Research UK, Addenbrooke's Hospital
- SBStephen Burgess
University of Cambridge, Papworth Hospital, British Heart Foundation, MRC Biostatistics Unit
Topics & keywords
- Mendelian randomization
- Medicine
- Confounding
- Observational study
- Causal inference
- Mendelian inheritance
- Genome-wide association study
- Bioinformatics
- Good health and well-being
Funding
- NBNHS Blood and TransplantAwards: NIHR203337, NIHR BTRU-2014-10024
- WTWellcome TrustAwards: 225790/Z/22/Z, BRC-1215-20014
- SGScottish Government
- URUK Research and InnovationAward: MC_UU_00002/7
- NINational Institute for Health and Care ResearchAwards: BTRU-2014-10024, BRC-1215-20014, NIHR BTRU-2014-10024, NIHR203337, NIHR203312
- BHBritish Heart FoundationAwards: RG/18/13/33946, SP/09/002, RG/13/13/30194
- DODepartment of Health and Social Care
- RCResearch Councils UKAward: MR/L003120/1
- PHPublic Health Agency
- CCancerfondenAward: 2019-
- HHjärt-LungfondenAwards: 20190247, 2019-00977
- VVetenskapsrådetAwards: 2019-00977, 20190247
- CSChief Scientist Office, Scottish Government Health and Social Care Directorate
- MRMedical Research CouncilAwards: RG/13/13/30194, HDR-23013, MR/L003120/1, NIHR203312, HDR-23007, BRC-1215-20014, MC_UU_00002/7, MR/L003120, MR/L003120/1
- EAEngineering and Physical Sciences Research Council
- EAEconomic and Social Research Council
- HAHealth and Social Care Research and Development Division
- NCNIHR Cambridge Biomedical Research CentreAwards: BRC-1215-20014, NIHR203312
- HDHealth Data Research UK