Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data

@inproceedings{Burgess2013MendelianRA,
  title={Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data},
  author={Stephen Burgess and Adam S. Butterworth and Simon Giles Thompson},
  booktitle={Genetic epidemiology},
  year={2013}
}
Genome-wide association studies, which typically report regression coefficients summarizing the associations of many genetic variants with various traits, are potentially a powerful source of data for Mendelian randomization investigations. We demonstrate how such coefficients from multiple variants can be combined in a Mendelian randomization analysis to estimate the causal effect of a risk factor on an outcome. The bias and efficiency of estimates based on summarized data are compared to… CONTINUE READING
BETA

Similar Papers

Citations

Publications citing this paper.
SHOWING 1-10 OF 221 CITATIONS, ESTIMATED 45% COVERAGE

Circulating antioxidants and Alzheimer disease prevention: a Mendelian randomization study

  • The American journal of clinical nutrition
  • 2019
VIEW 14 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Causal Effect of Plasminogen Activator Inhibitor Type 1 on Coronary Heart Disease

  • Journal of the American Heart Association
  • 2017
VIEW 9 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Genetic determinants of telomere length and risk of common cancers: a Mendelian randomization study

  • Human molecular genetics
  • 2015
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

FILTER CITATIONS BY YEAR

2013
2019

CITATION STATISTICS

  • 17 Highly Influenced Citations

  • Averaged 53 Citations per year over the last 3 years

References

Publications referenced by this paper.
SHOWING 1-10 OF 31 REFERENCES

In Chapter 4: Instrumental Variables in Action: Sometimes You Get What You Need

J Angrist, J. Pischke
  • Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton, NJ: Princeton University Press.
  • 2009
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

Avoiding bias from weak instruments in Mendelian randomization studies.

  • International journal of epidemiology
  • 2011
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Mendelian randomization as an instrumental variable approach to causal inference.

  • Statistical methods in medical research
  • 2007
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Asking for more

Editorial
  • Nat Genet 44:733.
  • 2012
VIEW 1 EXCERPT

Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

M Glymour, E TchetgenTchetgen, J Robins
  • Nature
  • 2012
VIEW 1 EXCERPT

The Interleukin–6 Receptor Mendelian Randomisation Analysis Consortium

D. Swerdlow
  • 2012