Meingold Hiu-Ming Chan, Sarah M Merrill, Chaini Konwar, Michael S Kobor
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引用次数: 0
Abstract
Human social epigenomics research is critical to elucidate the intersection of social and genetic influences underlying racial and ethnic differences in health and development. However, this field faces major challenges in both methodology and interpretation with regard to disentangling confounded social and biological aspects of race and ethnicity. To address these challenges, we discuss how these constructs have been approached in the past and how to move forward in studying DNA methylation (DNAm), one of the best-characterized epigenetic marks in humans, in a responsible and appropriately nuanced manner. We highlight self-reported racial and ethnic identity as the primary measure in this field, and discuss its implications in DNAm research. Racial and ethnic identity reflects the biological embedding of an individual's sociocultural experience and environmental exposures in combination with the underlying genetic architecture of the human population (i.e., genetic ancestry). Our integrative framework demonstrates how to examine DNAm in the context of race and ethnicity, while considering both intrinsic factors-including genetic ancestry-and extrinsic factors-including structural and sociocultural environment and developmental niches-when focusing on early-life experience. We reviewed DNAm research in relation to health disparities given its relevance to race and ethnicity as social constructs. Here, we provide recommendations for the study of DNAm addressing racial and ethnic differences, such as explicitly acknowledging the self-reported nature of racial and ethnic identity, empirically examining the effects of genetic variants and accounting for genetic ancestry, and investigating race-related and culturally regulated environmental exposures and experiences.
Supplementary information: The online version contains supplementary material available at 10.1007/s44155-023-00039-z.
期刊介绍:
Discover Social Science and Health is an interdisciplinary, international journal that publishes papers at the intersection of the social and biomedical sciences. Papers should integrate, in both theory and measures, a social perspective (reflecting anthropology, criminology, economics, epidemiology, policy, sociology, etc) and a concern for health (mental and physical). Health, broadly construed, includes biological and other indicators of overall health, symptoms, diseases, diagnoses, treatments, treatment adherence, and related concerns. Drawing on diverse, sound methodologies, submissions may include reports of new empirical findings (including important null findings) and replications, reviews and perspectives that construe prior research and discuss future research agendas, methodological research (including the evaluation of measures, samples, and modeling strategies), and short or long commentaries on topics of wide interest. All submissions should include statements of significance with respect to health and future research. Discover Social Science and Health is an Open Access journal that supports the pre-registration of studies.
Topics
Papers suitable for Discover Social Science and Health will include both social and biomedical theory and data. Illustrative examples of themes include race/ethnicity, sex/gender, socioeconomic, geographic, and other social disparities in health; migration and health; spatial distribution of risk factors and access to healthcare; health and social relationships; interactional processes in healthcare, treatments, and outcomes; life course patterns of health and treatment regimens; cross-national patterns in health and health policies; characteristics of communities and neighborhoods and health; social networks and treatment adherence; stigma and disease progression; methodological studies including psychometric properties of measures frequently used in health research; and commentary and analysis of key concepts, theories, and methods in studies of social science and biomedicine. The journal welcomes submissions that draw on biomarkers of health, genetically-informed and neuroimaging data, psychophysiological measures, and other forms of data that describe physical and mental health, access to health care, treatment, and related constructs.