Genome‐wide analysis of DNA methylation in relation to socioeconomic status during development and early adulthood

Datos Bibliográficos

ID8319910
AutoresT W Mcdade (0000-0001-5829-648X, Department of Anthropology Northwestern University Evanston Illinois, autor de correspondencia), C P Ryan (0000-0002-0550-7949, Department of Anthropology Northwestern University Evanston Illinois), Meaghan J Jones (0000-0003-1593-997X, Department of Medical Genetics University of British Columbia), Morgan K Hoke (0000-0002-6752-6483, Department of Anthropology University of Pennsylvania Philadelphia Pennsylvania), Judith Borja (USC‐Office of Population Studies Foundation, Inc. University of San Carlos Cebu City Philippines), Judith Rafaelita Borja (University of San Carlos), Gale E Miller (0000-0002-7217-1082, Northwestern University), Gregory E Miller (Institute for Policy Research Northwestern University Evanston Illinois), Christopher W Kuzawa (0000-0002-0649-8677, Department of Anthropology Northwestern University Evanston Illinois), Michael S Kobor (0000-0003-4140-1743, Child and Brain Development Program Canadian Institute for Advanced Research Toronto Ontario Canada)
Año2019
Volumen169
Número1
Páginas3-11
Fecha de publicación2019-05-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaAmerican Journal of Physical Anthropology (JOURNAL)
Identificadores de la revistaISSN: 0002-9483 • E-ISSN: 1096-8644
EditorialWiley (PUBLISHER • GB)
DOI10.1002/ajpa.23800
PMID30771258
OpenAlexW2912194890
IdiomaEN
Citas recibidas13
Referencias citadas79

OBJECTIVES: Socioeconomic status (SES) is a powerful determinant of health, but the underlying biological mechanisms are poorly understood. This study investigates whether levels of DNA methylation at CpG sites across the genome are associated with SES in a cohort of young adults in the Philippines. METHODS: DNA methylation was assayed with the Illumina HumanMethylation450 Bead Chip, in leukocytes from 489 participants in the Cebu Longitudinal Health and Nutrition Survey (mean age = 20.9 years). SES was measured in infancy/childhood and adulthood, and was based on composite measures of income, assets, and education. Genome-wide analysis of variable probes identified CpG sites significantly associated with SES after adjustment for multiple comparisons. Functional enrichment analysis was used to identify biological pathways associated with these sites. RESULTS: A total of 2,546 CpG sites, across 1,537 annotated genes, were differentially methylated in association with SES. In comparison with high SES, low SES was associated with increased methylation at 1,777 sites, and decreased methylation at 769 sites. Functional enrichment analysis identified over-representation of biological pathways related to immune function, skeletal development, and development of the nervous system. CONCLUSIONS: Socioeconomic status predicts DNA methylation at a large number of CpG sites across the genome. The scope of these associations is commensurate with the wide range of biological systems and health outcomes that are shaped by SES, and these findings suggest that DNA methylation may play an important role

Biology · CpG site · DNA methylation · Environmental health · Gene · Gene expression · Genome · Methylation · Population · Socioeconomic status · Epigenetics and DNA Methylation · Genetic Associations and Epidemiology · Genetics · Gut microbiota and health · Medicine