Dataset Information

Prenatal and early life influences on epigenetic age in children: a study of mother-offspring pairs from two cohort studies.

ABSTRACT: DNA methylation-based biomarkers of aging are highly correlated with actual age. Departures of methylation-estimated age from actual age can be used to define epigenetic measures of child development or age acceleration (AA) in adults. Very little is known about genetic or environmental determinants of these epigenetic measures of aging. We obtained DNA methylation profiles using Infinium HumanMethylation450 BeadChips across five time-points in 1018 mother-child pairs from the Avon Longitudinal Study of Parents and Children. Using the Horvath age estimation method, we calculated epigenetic age for these samples. AA was defined as the residuals from regressing epigenetic age on actual age. AA was tested for associations with cross-sectional clinical variables in children. We identified associations between AA and sex, birth weight, birth by caesarean section and several maternal characteristics in pregnancy, namely smoking, weight, BMI, selenium and cholesterol level. Offspring of non-drinkers had higher AA on average but this difference appeared to resolve during childhood. The associations between sex, birth weight and AA found in ARIES were replicated in an independent cohort (GOYA). In children, epigenetic AA measures are associated with several clinically relevant variables, and early life exposures appear to be associated with changes in AA during adolescence. Further research into epigenetic aging, including the use of causal inference methods, is required to better our understanding of aging.

SUBMITTER: Simpkin AJ

PROVIDER: S-EPMC4690495 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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Prenatal and early life influences on epigenetic age in children: a study of mother-offspring pairs from two cohort studies.

Simpkin Andrew J AJ Hemani Gibran G Suderman Matthew M Gaunt Tom R TR Lyttleton Oliver O Mcardle Wendy L WL Ring Susan M SM Sharp Gemma C GC Tilling Kate K Horvath Steve S Kunze Sonja S Peters Annette A Waldenberger Melanie M Ward-Caviness Cavin C Nohr Ellen A EA Sørensen Thorkild I A TI Relton Caroline L CL Smith George Davey GD

Human molecular genetics 20151105 1

DNA methylation-based biomarkers of aging are highly correlated with actual age. Departures of methylation-estimated age from actual age can be used to define epigenetic measures of child development or age acceleration (AA) in adults. Very little is known about genetic or environmental determinants of these epigenetic measures of aging. We obtained DNA methylation profiles using Infinium HumanMethylation450 BeadChips across five time-points in 1018 mother-child pairs from the Avon Longitudinal ...[more]

PMID: 26546615

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Project description:Rationale: Little is known about effects of paternal tobacco smoke (PTS) on the offspring's asthma and its prenatal epigenetic programming. Objective: To investigate whether PTS exposure was associated with the offspring's asthma and correlated to epigenetic CG methylation of potential tobacco-related immune genes: LMO2, GSTM1 or/and IL-10 genes. Measurements and Main Results: In a birth cohort of 1,629 newborns, we measured exposure rates of PTS (23%) and maternal tobacco smoke (MTS, 0.2%), cord blood DNA methylation, infant respiratory tract infection, childhood DNA methylation, and childhood allergic diseases. Infants with prenatal PTS exposure had a significantly higher risk of asthma by the age of 6 than those without (p = 0.026). The PTS exposure doses at 0, <20, and ≧20 cigarettes per day were significantly associated with the trend of childhood asthma and the increase of LMO2-E148 (p = 0.006), and IL10_P325 (p = 0.008) CG methylation. The combination of higher CG methylation levels of LMO2_E148, IL10_P325, and GSTM1_P266 corresponded to the highest risk of asthma by 43.48%, compared to other combinations (16.67-23.08%) in the 3-way multi-factor dimensionality reduction (MDR) analysis. The LMO2_P794 and GSTM1_P266 CG methylation levels at age 0 were significantly correlated to those at age of 6. Conclusions: Prenatal PTS exposure increases CG methylation contents of immune genes, such as LMO2 and IL-10, which significantly retained from newborn stage to 6 years of age and correlated to development of childhood asthma. Modulation of the LMO2 and IL-10 CG methylation and/or their gene expression may provide a regimen for early prevention of PTS-associated childhood asthma. Descriptor number: 1.10 Asthma Mediators. Scientific Knowledge on the Subject: It has been better known that maternal tobacco smoke (MTS) has an impact on the offspring's asthma via epigenetic modification. Little is known about effects of paternal tobacco smoke (PTS) on the offspring's asthma and its prenatal epigenetic programming. What This Study Adds to the Field: Prenatal tobacco smoke (PTS) can program epigenetic modifications in certain genes, such as LMO2 and IL-10, and that these modifications are correlated to childhood asthma development. The higher the PTS exposure dose the higher the CG methylation levels are found. The combination of higher CG methylation levels of LMO2_E148, IL10_P325 and GSTM1_P266 corresponded to the highest risk of asthma. Measuring the DNA methylation levels of certain genes might help to predict high-risk populations for childhood asthma and provide a potential target to prevent the development of childhood asthma.

Dataset Information

Prenatal and early life influences on epigenetic age in children: a study of mother-offspring pairs from two cohort studies.

Publications

Prenatal and early life influences on epigenetic age in children: a study of mother-offspring pairs from two cohort studies.

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