Introduction

Much of this book has been motivated and illustrated by data collected by the CRP CHD Genetics Collaboration. In this chapter, we analyse the entirety of the CCGC data to estimate the causal effect of C-reactive protein (CRP) on coronary heart disease (CHD) risk as an illustration of the Mendelian randomization approach, as well as several of the methodological issues highlighted in this book.

Key points from chapter

  • The analyses presented in this chapter exemplify the assessment of the assumptions required to perform a Mendelian randomization analysis and the estimation of an overall causal effect.
  • The integrated analyses presented based on the totality of available data give a precise enough causal estimate to rule out even a moderately-sized causal effect of C-reactive protein on coronary heart disease risk.

Relevant papers to chapter:

CRP CHD Genetics Collaboration. Association between C reactive protein and coronary disease: Mendelian randomisation analysis based on data from individual participants. BMJ 2011; 342:d548.

S. Burgess, S.G. Thompson, CRP CHD Genetics Collaboration. Methods for meta-analysis of individual participant data from Mendelian randomization studies with binary outcomes. Stat. Meth. Med. Res. 2012.