The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
LIFE-COURSE LONGITUDINAL STUDIES ARE NEEDED TO ADVANCE INTEGRATION OF GENOMICS AND SOCIAL EPIDEMIOLOGY
Abstract
Genome science offers new opportunities for social epidemiology, including opportunities to observe molecular states and processes hypothesized to mediate effects of social-environmental exposures on morbidity, disability, and mortality (1). With these opportunities come several challenges, some new and some old. Among the new challenges are the very large volume of measurements generated by whole-genome assays, difficulties assigning biological meaning to genomic measurements, and new potential confounders, including the leukocyte composition of blood samples from which genomic measurements are made. The recent article by Levine et al. (2) provides an example of how studies may navigate these new challenges in the context of whole-genome gene-expression data. Among the old challenges is one rightfully highlighted in the recent letter by Huang and Kaufman (3), having to do with causal inference. Our commentary suggested that the gene-expression signature studied by Levine et al., the conserved transcriptional response to adversity (CTRA), might inform understanding of biological processes through which social gradients in health come about. The CTRA comprises down-regulation of viral defenses and up-regulation of inflammation—processes that, if chronically activated, would be health damaging (4). As Huang and Kaufman (3) point out, to establish a mediating role for the CTRA in social gradients in health, life-course longitudinal studies are needed that include repeated measur…
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These DNAm measures are acknowledged to be incomplete summaries of biological changes that occur with aging and to have technical limitations.
“Nevertheless, these measures are acknowledged to be incomplete summaries of biological changes that occur with aging and to have technical limitations39,40.”
From Effect of long-term caloric restriction on DNA methylation measures of biological aging in healthy adults from the CALERIE trial (2023) · cites this paper as [40]
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Cole, S. W. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004601 · Cited by 415
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Research works printed but not linked: 6
- Belsky, 2017, Invited commentary: integrating genomics and social epidemiology—analysis of late-life low socioeconomic status and the conserved transcriptional response to adversity, Am J Epidemiol, 186, 510, 10.1093/aje/kwx145 · DOI
- Levine, 2017, Contemporaneous social environment and the architecture of late-life gene expression profiles, Am J Epidemiol, 186, 503, 10.1093/aje/kwx147 · DOI
- Huang, 2018, Getting serious about embodiment: cautions about interpreting novel findings of socioeconomic patterns in biological function, Am J Epidemiol, 187, 1336, 10.1093/aje/kwx389 · DOI
- Belsky, 2013, Is obesity associated with a decline in intelligence quotient during the first half of the life course?, Am J Epidemiol, 178, 1461, 10.1093/aje/kwt135 · DOI
- Karlsson Linnér, 2017, An epigenome-wide association study meta-analysis of educational attainment, Mol Psychiatry, 22, 1680, 10.1038/mp.2017.210 · DOI
- Marzi, 2018, Analysis of DNA methylation in young people: limited evidence for an association between victimization stress and epigenetic variation in blood, Am J Psychiatry, appiajp201717060693
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DNA methylation aging clocks: challenges and recommendations
Bell, C. G., Lowe, R., Adams, P. D., Baccarelli, A. A., Beck, S., Bell, J. T., Christensen, B. C., Gladyshev, V. N., Heijmans, B. T., Horvath, S., et al. (2019) · Genome Biology · doi:10.1186/s13059-019-1824-y · Cited by 1,025
Kwon, D., & Belsky, D. W. (2021) · GeroScience · doi:10.1007/s11357-021-00480-5 · Cited by 410
Self-citationGao, X., Geng, T., Jiang, M., Huang, N., Zheng, Y., Belsky, D. W., & Huang, T. (2023) · Nature Communications · doi:10.1038/s41467-023-38013-7 · Cited by 306
Self-citationWaziry, R., Ryan, C. P., Corcoran, D. L., Huffman, K. M., Kobor, M. S., Kothari, M., Graf, G. H., Kraus, V. B., Kraus, W. E., Lin, D. T. S., et al. (2023) · Nature Aging · doi:10.1038/s43587-022-00357-y · Cited by 217
Self-citationBischoff-Ferrari, H. A., Gängler, S., Wieczorek, M., Belsky, D. W., Ryan, J., Kressig, R. W., Stähelin, H. B., Theiler, R., Dawson-Hughes, B., Rizzoli, R., et al. (2025) · Nature Aging · doi:10.1038/s43587-024-00793-y · Cited by 140
Self-citationDiabetes mellitus correlates with increased biological age as indicated by clinical biomarkers
Bahour, N., Cortez, B., Pan, H., Shah, H., Doria, A., & Aguayo-Mazzucato, C. (2022) · GeroScience · doi:10.1007/s11357-021-00469-0 · Cited by 121
Accelerated biological aging elevates the risk of cardiometabolic multimorbidity and mortality
Jiang, M., Tian, S., Liu, S., Wang, Y., Guo, X., Huang, T., Lin, X., Belsky, D. W., Baccarelli, A. A., & Gao, X. (2024) · Nature Cardiovascular Research · doi:10.1038/s44161-024-00438-8 · Cited by 117
Self-citationBiomarkers for Aging Identified in Cross-sectional Studies Tend to Be Non-causative
Nelson, P. G., Promislow, D. E. L., & Masel, J. (2020) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glz174 · Cited by 65
Whitman, E. T., Elliott, M. L., Knodt, A. R., Abraham, W. C., Anderson, T. J., Cutfield, N. J., Hogan, S., Ireland, D., Melzer, T. R., Ramrakha, S., et al. (2025) · Nature Aging · doi:10.1038/s43587-025-00897-z · Cited by 37
Metadata
- Authors
- Belsky, D. W.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-04-11
- Volume
- 187
- Issue
- 6
- Pages
- 1337-1338
- ISSN
- 0002-9262
- 1476-6256
- Cited by
- 104
- References
- 1
- Language
- en
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Funders
- NIH
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