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      Birthweight DNA methylation signatures in infant saliva

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          Abstract

          Background

          Low birthweight has been repeatedly associated with long-term adverse health outcomes and many non-communicable diseases. Our aim was to look-up cord blood birthweight-associated CpG sites identified by the PACE Consortium in infant saliva, and to explore saliva-specific DNA methylation signatures of birthweight.

          Methods

          DNA methylation was assessed using Infinium HumanMethylation450K array in 135 saliva samples collected from children of the NINFEA birth cohort at an average age of 10.8 (range 7–17) months. The association analyses between birthweight and DNA methylation variations were carried out using robust linear regression models both in the exploratory EWAS analyses and in the look-up of the PACE findings in infant saliva.

          Results

          None of the cord blood birthweight-associated CpGs identified by the PACE Consortium was associated with birthweight when analysed in infant saliva. In saliva EWAS analyses, considering a false discovery rate p-values < 0.05, birthweight as continuous variable was associated with DNA methylation in 44 CpG sites; being born small for gestational age (SGA, lower 10 th percentile of birthweight for gestational age according to WHO reference charts) was associated with DNA methylation in 44 CpGs, with only one overlapping CpG between the two analyses. Despite no overlap with PACE results at the CpG level, two of the top saliva birthweight CpGs mapped at genes associated with birthweight with the same direction of the effect also in the PACE Consortium ( MACROD1 and RPTOR).

          Conclusion

          Our study provides an indication of the birthweight and SGA epigenetic salivary signatures in children around 10 months of age. DNA methylation signatures in cord blood may not be comparable with saliva DNA methylation signatures at about 10 months of age, suggesting that the birthweight epigenetic marks are likely time and tissue specific.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13148-021-01053-1.

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          Most cited references69

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          Genetic studies of body mass index yield new insights for obesity biology.

          Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P  20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
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            Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry

            Abstract More than one in three adults worldwide is either overweight or obese. Epidemiological studies indicate that the location and distribution of excess fat, rather than general adiposity, are more informative for predicting risk of obesity sequelae, including cardiometabolic disease and cancer. We performed a genome-wide association study meta-analysis of body fat distribution, measured by waist-to-hip ratio (WHR) adjusted for body mass index (WHRadjBMI), and identified 463 signals in 346 loci. Heritability and variant effects were generally stronger in women than men, and we found approximately one-third of all signals to be sexually dimorphic. The 5% of individuals carrying the most WHRadjBMI-increasing alleles were 1.62 times more likely than the bottom 5% to have a WHR above the thresholds used for metabolic syndrome. These data, made publicly available, will inform the biology of body fat distribution and its relationship with disease.
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              Effect of in utero and early-life conditions on adult health and disease.

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                Author and article information

                Contributors
                chiara.moccia@unito.it
                Journal
                Clin Epigenetics
                Clin Epigenetics
                Clinical Epigenetics
                BioMed Central (London )
                1868-7075
                1868-7083
                19 March 2021
                19 March 2021
                2021
                : 13
                : 57
                Affiliations
                [1 ]GRID grid.7605.4, ISNI 0000 0001 2336 6580, Cancer Epidemiology Unit, Department of Medical Sciences, , University of Turin and CPO Piemonte, ; Via Santena 7, 10126 Turin, Italy
                [2 ]GRID grid.411477.0, ISNI 0000 0004 1759 0844, Unit of Epidemiology, , ‘Anna Meyer’ Children’s University Hospital, ; Florence, Italy
                [3 ]GRID grid.428948.b, ISNI 0000 0004 1784 6598, Italian Institute for Genomic Medicine (IIGM), ; Candiolo, Italy
                [4 ]GRID grid.7445.2, ISNI 0000 0001 2113 8111, MRC-PHE Centre for Environment and Health, School of Public Health, , Imperial College, ; London, UK
                Author information
                http://orcid.org/0000-0002-7970-8727
                Article
                1053
                10.1186/s13148-021-01053-1
                7980592
                33741061
                f09f6c86-2614-4894-ab48-a799fec94c25
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 23 November 2020
                : 9 March 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100007388, Compagnia di San Paolo;
                Funded by: FundRef http://dx.doi.org/10.13039/501100007601, Horizon 2020;
                Funded by: Italian Ministry for Education, University and Research
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Genetics
                saliva dna methylation,birthweight,infants,birth cohort
                Genetics
                saliva dna methylation, birthweight, infants, birth cohort

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