Distinguishing Causation from Correlation in the Use of Correlates of Protection to Evaluate and Develop Influenza Vaccines

Author:

Lim Wey Wen1,Leung Nancy H L1,Sullivan Sheena G234,Tchetgen Tchetgen Eric J5,Cowling Benjamin J1

Affiliation:

1. World Health Organization Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, the University of Hong Kong, Hong Kong SAR, People’s Republic of China

2. World Health Organization Collaborating Centre for Reference and Research on Influenza at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia

3. Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California

4. Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia

5. Statistics Department, the Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania

Abstract

Abstract There is increasing attention to the need to identify new immune markers for the evaluation of existing and new influenza vaccines. Immune markers that could predict individual protection against infection and disease, commonly called correlates of protection (CoPs), play an important role in vaccine development and licensing. Here, we discuss the epidemiologic considerations when evaluating immune markers as potential CoPs for influenza vaccines and emphasize the distinction between correlation and causation. While an immune marker that correlates well with protection from infection can be used as a predictor of vaccine efficacy, it should be distinguished from an immune marker that plays a mechanistic role in conferring protection against a clinical endpoint—the latter might be a more reliable predictor of vaccine efficacy and a more appropriate target for rational vaccine design. To clearly distinguish mechanistic and nonmechanistic CoPs, we suggest using the term “correlates of protection” for nonmechanistic CoPs, and ‘‘mediators of protection’’ for mechanistic CoPs. Furthermore, because the interactions among and relative importance of correlates or mediators of protection can vary according to age or prior vaccine experience, the effect sizes and thresholds for protective effects for CoPs could also vary in different segments of the population.

Funder

Theme-based Research Scheme

National Institute of General Medical Sciences

Health and Medical Research Fund

Publisher

Oxford University Press (OUP)

Subject

Epidemiology

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