Journal article
Surrounding greenness and biological aging based on DNA methylation: A twin and family study in Australia
R Xu, S Li, S Li, EM Wong, MC Southey, JL Hopper, MJ Abramson, Y Guo
Environmental Health Perspectives | US DEPT HEALTH HUMAN SCIENCES PUBLIC HEALTH SCIENCE | Published : 2021
DOI: 10.1289/EHP8793
Abstract
BACKGROUND: High surrounding greenness has many health benefits and might contribute to slower biological aging. However, very few studies have evaluated this from the perspective of epigenetics. OBJECTIVES: We aimed to evaluate the association between surrounding greenness and biological aging based on DNA methylation. METHODS: We derived Horvath’s DNA methylation age (DNAmAge), Hannum’s DNAmAge, PhenoAge, and GrimAge based on DNA methylation measured in peripheral blood samples from 479 Australian women in 130 families. Measures of DNAmAge acceleration (DNAmAgeAC) were derived from the residuals after regressing each DNAmAge metric on chronological age. Greenness was represented by satelli..
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Grants
Awarded by Boehringer Ingelheim
Funding Acknowledgements
R.X. is supported by China Scholarship Council (201806010405) . Shuai Li is supported by an Early Career Fellowship of the Australian National Health and Medical Research Council (NHMRC; APP1109193) . Y.G. is supported by a Career Development Fellowship of the Australian National Health and Medical Research Council (APP1163693) . Shuai Li is supported by an Early Career Research Fellowship of the Victorian Cancer Agency (ECRF 19020) . M.C.S. is a NHMRC Senior Research Fellow (APP1155163) . J.L.H. is a NHMRC Senior Principal Research Fellow. The Australian Mammographic Density Twins and Sisters Study (AMDTSS) was facilitated through access to Twins Research Australia, a national resource supported by a Centre of Research Excellence Grant (1079102) from the NHMRC. The AMDTSS was supported by NHMRC (1050561 and 1079102) , Cancer Australia and National Breast Cancer Foundation (509307) . The raw and processed DNA methylation data set are open accessed or free on Gene Expression Omnibus (accession number GSE100227) . As required by the ethics approval, the authors are not allowed to open other data (e.g., data on covariates) used in this study in order to protect the privacy of participants. If anyone wants to use the data to repeat our analyses or to perform other research, please contact J.L.H. (j.hopper@unimelb. edu.au) , who is happy to engage with external collaborators. This person would have to be added to the ethics approval to access the data. Working with the AMDTSS group as collaborators would likely result in better science given this is family data and the nuances of this, as well as the sampling issues, need to be understood to guard against making false conclusions from a naive use of data without such knowledge.