Use of Correct and Incorrect Methods of Accounting for Age in Studies of Epigenetic Accelerated Aging: Implications and Recommendations for Best Practices

• Autores: Nancy Krieger, Jarvis T. Chen, Christian Testa, Ana V. Diez Roux, Kate Tilling, Sarah Watkins, Andrew J Simpkin, Matthew Suderman, George Davey Smith, Immaculata De Vivo, Pamela D. Waterman, Caroline Relton
• Localización: American journal of epidemiology, ISSN-e 1476-6256, ISSN 0002-9262, Vol. 192, Nº. 5, 2023, págs. 800-811
• Idioma: inglés
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  • AbstractMotivated by our conduct of a literature review on social exposures and accelerated aging as measured by a growing number of epigenetic “clocks” (which estimate age via DNA methylation (DNAm) patterns), we report on 3 different approaches in the epidemiologic literature—1 incorrect and 2 correct—on the treatment of age in these and other studies using other common exposures (i.e., body mass index and alcohol consumption). Among the 50 empirical articles reviewed, the majority (n = 29; 58%) used the incorrect method of analyzing accelerated aging detrended for age as the outcome and did not control for age as a covariate. By contrast, only 42% used correct methods, which are either to analyze accelerated aging detrended for age as the outcome and control for age as a covariate (n = 16; 32%) or to analyze raw DNAm age as the outcome and control for age as a covariate (n = 5; 10%). In accord with prior demonstrations of bias introduced by use of the incorrect approach, we provide simulation analyses and additional empirical analyses to illustrate how the incorrect method can lead to bias towards the null, and we discuss implications for extant research and recommendations for best practices.