Mendelian Randomization: How Genetics Is Pushing the Boundaries of Epidemiology to Identify New Causes of Heart Disease

Canadian Journal of Cardiology

Volumn 29, Issue 1, 2013, Pages 30-36

  Thanassoulis, George ^a  

^a RESEARCH INSTITUTE OF THE MCGILL UNIVERSITY HEALTH CENTRE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

C REACTIVE PROTEIN; HIGH DENSITY LIPOPROTEIN; HOMOCYSTEINE; LIPOPROTEIN A; LOW DENSITY LIPOPROTEIN;

CARDIOVASCULAR DISEASE; CONFOUNDING VARIABLE; DRUG DEVELOPMENT; GENE FREQUENCY; GENE LINKAGE DISEQUILIBRIUM; GENETIC VARIABILITY; GENOTYPE; HEART DISEASE; HEART INFARCTION; LIPOPROTEIN BLOOD LEVEL; MENDELIAN RANDOMIZATION ANALYSIS; PLEIOTROPY; POPULATION RESEARCH; POPULATION STRATIFICATION; RANDOMIZATION; RANDOMIZED CONTROLLED TRIAL (TOPIC); REVIEW; SAMPLE SIZE;

BIOLOGICAL MARKERS; GENETIC MARKERS; HEART DISEASES; HUMANS; MENDELIAN RANDOMIZATION ANALYSIS; MORBIDITY; WORLD HEALTH;

EID: 84871415707     PISSN: 0828282X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cjca.2012.09.014     Document Type: Review

References (27)

1. Peden J.F., Farrall M. Thirty-five common variants for coronary artery disease: the fruits of much collaborative labour. Hum Mol Genet 2011, 20(R2):R198-R205.
2. Lawlor D.A., Harbord R.M., Sterne J.A., Timpson N., Davey Smith G. Mendelian randomization: using genes as instruments for making causal inferences in epidemiology. Stat Med 2008, 27:1133-1163.
3. Thanassoulis G., O'Donnell C.J. Mendelian randomization: nature's randomized trial in the post-genome era. JAMA 2009, 301:2386-2388.
4. Ebrahim S., Davey Smith G. Mendelian randomization: can genetic epidemiology help redress the failures of observational epidemiology?. Hum Genet 2008, 123:15-33.
5. Smith G.D., Timpson N., Ebrahim S. Strengthening causal inference in cardiovascular epidemiology through Mendelian randomization. Ann Med 2008, 40:524-541.
6. Dawber T.R., Kannel W.B., Lyell L.P. An approach to longitudinal studies in a community: the Framingham Study. Ann N Y Acad Sci 1963, 107:539-556.
7. Kaptoge S., Di Angelantonio E., et al. C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis. Lancet 2010, 375:132-140. Emerging Risk Factors Collaboration.
8. Nabel E.G., Braunwald E. A tale of coronary artery disease and myocardial infarction. N Engl J Med 2012, 366:54-63.
9. Davey Smith G. Random allocation in observational data: how small but robust effects could facilitate hypothesis-free causal inference. Epidemiology 2011, 22:460-463.
10. Palmer T.M., Lawlor D.A., Harbord R.M., et al. Using multiple genetic variants as instrumental variables for modifiable risk factors. Stat Methods Med Res 2012, 21:223-242.
11. Cohen J.C., Boerwinkle E., Mosley T.H., Hobbs H.H. Sequence variations in PCSK9, low LDL, and protection against coronary heart disease. N Engl J Med 2006, 354:1264-1272.
12. Kamstrup P.R., Tybjaerg-Hansen A., Steffensen R., Nordestgaard B.G. Genetically elevated lipoprotein(a) and increased risk of myocardial infarction. JAMA 2009, 301:2331-2339.
13. Zacho J., Tybjaerg-Hansen A., Jensen J.S., Grande P., Sillesen H., Nordestgaard B.G. Genetically elevated C-reactive protein and ischemic vascular disease. N Engl J Med 2008, 359:1897-1908.
14. Voight B.F., Peloso G.M., Orho-Melander M., et al. Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study. Lancet 2012, 380:572-580.
15. Clarke R., Bennett D.A., Parish S., et al. Homocysteine and coronary heart disease: meta-analysis of MTHFR case-control studies, avoiding publication bias. PLoS Med 2012, 9:e1001177. MTHFR Studies Collaborative Group.
16. Hingorani A.D., Casas J.P. The interleukin-6 receptor as a target for prevention of coronary heart disease: a mendelian randomisation analysis. Lancet 2012, 379:1214-1224. Interleukin-6 Receptor Mendelian Randomisation Analysis (IL6R MR) Consortium.
17. Sarwar N., Butterworth A.S., Freitag D.F., et al. Interleukin-6 receptor pathways in coronary heart disease: a collaborative meta-analysis of 82 studies. Lancet 2012, 379:1205-1213. IL6R Genetics Consortium Emerging Risk Factors Collaboration.
18. Association between C reactive protein and coronary heart disease: Mendelian randomisation analysis based on individual participant data. BMJ 2011, 342:d548. C reactive Protein Coronary Heart Disease Genetics Collaboration.
19. Erqou S., Kaptoge S., et al. Lipoprotein(a) concentration and the risk of coronary heart disease, stroke, and nonvascular mortality. JAMA 2009, 302:412-423. Emerging Risk Factors Collaboration, P.
20. Nordestgaard B.G., Chapman M.J., Ray K., et al. Lipoprotein(a) as a cardiovascular risk factor: current status. Eur Heart J 2010, 31:2844-2853. European Atherosclerosis Society Consensus Panel.
21. Gordon T., Castelli W.P., Hjortland M.C., Kannel W.B., Dawber T.R. High density lipoprotein as a protective factor against coronary heart disease. The Framingham Study. Am J Med 1977, 62:707-714.
22. Ridker P.M., Thuren T., Zalewski A., Libby P. Interleukin-1beta inhibition and the prevention of recurrent cardiovascular events: rationale and design of the Canakinumab Anti-inflammatory Thrombosis Outcomes Study (CANTOS). Am Heart J 2011, 162:597-605.
23. Ridker P.M. Testing the inflammatory hypothesis of atherothrombosis: scientific rationale for the Cardiovascular Inflammation Reduction Trial (CIRT). J Thromb Haemost 2009, 7:332-339.
24. Clarke R., Halsey J., Lewington S., et al. Effects of lowering homocysteine levels with B vitamins on cardiovascular disease, cancer, and cause-specific mortality: meta-analysis of 8 randomized trials involving 37 485 individuals. Arch Intern Med 2010, 170:1622-1631. B-Vitamin Treatment Trialists' Collaboration.
25. Suhre K., Shin S.-Y., Petersen A.-K., et al. Human metabolic individuality in biomedical and pharmaceutical research. Nature 2012, 477:54-60.
26. Shah S.H., Kraus W.E., Newgard C.B. Metabolomic profiling for the identification of novel biomarkers and mechanisms related to common cardiovascular diseases. Circulation 2012, 126:1110-1120.
27. Reshef D.N., Reshef Y.A., Finucane H.K., et al. Detecting novel associations in large data sets. Science 2011, 334:1518-1524.