A robust and efficient method for Mendelian randomization with hundreds of genetic variants
University of Cambridge · MRC Biostatistics Unit · +5 more institutions
Abstract
Mendelian randomization (MR) is an epidemiological technique that uses genetic variants to distinguish correlation from causation in observational data. The reliability of a MR investigation depends on the validity of the genetic variants as instrumental variables (IVs). We develop the contamination mixture method, a method for MR with two modalities. First, it identifies groups of genetic variants with similar causal estimates, which may represent distinct mechanisms by which the risk factor influences the outcome. Second, it performs MR robustly and efficiently in the presence of invalid IVs. Compared to other robust methods, it has the lowest mean squared error across a range of realistic scenarios. The…
Citation impact
- FWCI
- 51.27
- Percentile
- 100%
- References
- 61
Authors
5- SBStephen BurgessCorresponding
University of Cambridge, MRC Biostatistics Unit
- CNChristopher N. Foley
University of Cambridge, MRC Biostatistics Unit
- EAElias Allara
University of Cambridge, Genomics (United Kingdom)
- JRJames R Staley
University of Cambridge, University of Bristol, MRC Epidemiology Unit
- JMJoanna M. M. Howson
University of Cambridge, National Institute for Health and Care Research, Novo Nordisk (United Kingdom)
Topics & keywords
- Mendelian randomization
- Genetics
- Computational biology
- Mendelian inheritance
- Biology
- Computer science
- Genetic variants
- Gene
- Good health and well-being
Funding
- WWellcomeAward: 204623/Z/16/Z
- WTWellcome TrustAwards: 204623/Z/16/Z, 204623
- NINational Institute for Health and Care Research
- BHBritish Heart FoundationAward: RG/13/13/30194
- DODepartment of Health and Social Care
- RSRoyal SocietyAward: 204623/Z/16/Z
- MRMedical Research CouncilAwards: RG/13/13/30194, MR/L003120/1, MC_UU_00002/7, MR/L003120, MR/L003120/1
- NCNIHR Cambridge Biomedical Research Centre