Next Article in Journal
Clinical Relevance of +936 C>T VEGFA and c.233C>T bFGF Polymorphisms in Chronic Lymphocytic Leukemia
Previous Article in Journal
DNA Hypermethylation and Unstable Repeat Diseases: A Paradigm of Transcriptional Silencing to Decipher the Basis of Pathogenic Mechanisms
 
 
Article

Array-Based Epigenetic Aging Indices May Be Racially Biased

1
Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
2
Behavioral Diagnostics LLC, Coralville, IA 52241, USA
3
Center for Family Research, University of Georgia, Athens, GA 30602, USA
4
Department of Psychological Sciences, University of Connecticut, Storrs, CT 06268, USA
*
Author to whom correspondence should be addressed.
Genes 2020, 11(6), 685; https://doi.org/10.3390/genes11060685
Received: 4 May 2020 / Revised: 1 June 2020 / Accepted: 18 June 2020 / Published: 22 June 2020
(This article belongs to the Section Human Genomics and Genetic Diseases)
Epigenetic aging (EA) indices are frequently used as predictors of mortality and other important health outcomes. However, each of the commonly used array-based indices has significant heritable components which could tag ethnicity and potentially confound comparisons across racial and ethnic groups. To determine if this was possible, we examined the relationship of DNA methylation in cord blood from 203 newborns (112 African American (AA) and 91 White) at the 513 probes from the Levine PhenoAge Epigenetic Aging index to ethnicity. Then, we examined all sites significantly associated with race in the newborn sample to determine if they were also associated with an index of ethnic genetic heritage in a cohort of 505 AA adults. After Bonferroni correction, methylation at 50 CpG sites was significantly associated with ethnicity in the newborn cohort. The five most significant sites predicted ancestry with a receiver operator characteristic area under the curve of 0.97. Examination of the top 50 sites in the AA adult cohort showed that methylation status at 11 of those sites was also associated with percentage European ancestry. We conclude that the Levine PhenoAge Index is influenced by cryptic ethnic-specific genetic influences. This influence may extend to similarly constructed EA indices and bias cross-race comparisons. View Full-Text
Keywords: epigenetics; DNA methylation; epigenetic aging; healthcare disparities epigenetics; DNA methylation; epigenetic aging; healthcare disparities
Show Figures

Figure 1

MDPI and ACS Style

Philibert, R.; Beach, S.R.H.; Lei, M.-K.; Gibbons, F.X.; Gerrard, M.; Simons, R.L.; Dogan, M.V. Array-Based Epigenetic Aging Indices May Be Racially Biased. Genes 2020, 11, 685. https://doi.org/10.3390/genes11060685

AMA Style

Philibert R, Beach SRH, Lei M-K, Gibbons FX, Gerrard M, Simons RL, Dogan MV. Array-Based Epigenetic Aging Indices May Be Racially Biased. Genes. 2020; 11(6):685. https://doi.org/10.3390/genes11060685

Chicago/Turabian Style

Philibert, Robert, Steven R.H. Beach, Man-Kit Lei, Frederick X. Gibbons, Meg Gerrard, Ronald L. Simons, and Meeshanthini V. Dogan. 2020. "Array-Based Epigenetic Aging Indices May Be Racially Biased" Genes 11, no. 6: 685. https://doi.org/10.3390/genes11060685

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop