Skip directly to search Skip directly to A to Z list Skip directly to navigation Skip directly to page options Skip directly to site content

Search PHGKB:

Last Posted: Aug 04, 2022
spot light Highlights

Analysis of Epigenetic Age Acceleration and Healthy Longevity Among Older US Women
P Jain et al, JAMA Network Open, July 27, 2022

This cohort study was a secondary analysis of 3 Women’s Health Initiative ancillary studies among 1813 women eligible to survive to age 90 years by end of study period. The study found that increased epigenetic age acceleration as measured by 4 epigenetic clocks was associated with lower odds of survival to age 90 years with intact mobility; results were similar when including intact cognitive functioning. Meaning These findings suggest that epigenetic age acceleration may be a useful biomarker to estimate functional and cognitive aging among older women.

Fulfilling the Promise of Epigenetics Requires More Studies in Diverse Populations
E Drzymalla et al, CDC Blog Post, July 18, 2022 Brand

While much has been said about the importance of diversity in genomics research, we are only beginning to realize the importance of diversity in epigenetics. More epigenetic research needs to be undertaken in diverse populations with different genetic and environmental factors. This will go a long way towards fulfilling the promise of epigenetics as a tool for health equity science.

Diversity in EWAS: current state, challenges, and solutions
CE Breeze et al, Genome Medicine, July 6, 2022

Here, we report a lack of diversity in epigenome-wide association studies (EWAS) and DNA methylation (DNAm) data, discuss current challenges, and propose solutions for EWAS and DNAm research in diverse populations. The strategies we propose include fostering community involvement, new data generation, and cost-effective approaches such as locus-specific analysis and ancestry variable region analysis.

Linking genetic variants to kidney disease via the epigenome
Nature Genetics, June 23, 2022

The largest GWAS for kidney function so far provided the starting point for integrated multi-stage annotation of genetic loci. Whole kidney and single-cell epigenomic information is crucial for translating GWAS information to the identification of causal genes and pathogenetic (and potentially targetable) cellular and molecular mechanisms of kidney disease.

Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.