Gestational age Predicted By Dna Methylation: Potential Clinical and Research Utility

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

EpigenomicsVol. 9, No. 2 EditorialGestational age predicted by DNA methylation: potential clinical and research utilityAnna K Knight, Karen N Conneely & Alicia K SmithAnna K Knight Genetics & Molecular Biology Program, Emory University, Atlanta, GA, USA, Karen N Conneely Genetics & Molecular Biology Program, Emory University, Atlanta, GA, USA Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA & Alicia K Smith*Author for correspondence: E-mail Address: alicia.smith@emory.edu Genetics & Molecular Biology Program, Emory University, Atlanta, GA, USA Department of Gynecology & Obstetrics, Emory University School of Medicine, Atlanta, GA, USA Department of Psychiatry & Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USAPublished Online:23 Jan 2017https://doi.org/10.2217/epi-2016-0157AboutSectionsView ArticleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinkedInReddit View articleKeywords: biomarkerblood spotdevelopmental ageDNA methylationepigenetic clockgestational ageumbilical cord bloodReferences1 Lynch CD, Zhang J. The research implications of the selection of a gestational age estimation method. Paediatr. Perinat. Epidemiol. 21(Suppl. 2), 86–96 (2007).Crossref, Medline, Google Scholar2 Mongelli M, Wilcox M, Gardosi J. Estimating the date of confinement: ultrasonographic biometry versus certain menstrual dates. Am. J. Obstet. Gynecol. 174(1 Pt 1), 278–281 (1996).Crossref, Medline, CAS, Google Scholar3 Horvath S. DNA methylation age of human tissues and cell types. Genome Biol. 14(10), R115 (2013).Crossref, Medline, Google Scholar4 Hannum G, Guinney J, Zhao L et al. Genome-wide methylation profiles reveal quantitative views of human aging rates. Mol. Cell 49(2), 359–367 (2013).Crossref, Medline, CAS, Google Scholar5 Weidner CI, Lin Q, Koch CM et al. Aging of blood can be tracked by DNA methylation changes at just three CpG sites. Genome Biol. 15(2), R24 (2014).Crossref, Medline, Google Scholar6 Marioni RE, Shah S, Mcrae AF et al. DNA methylation age of blood predicts all-cause mortality in later life. Genome Biol. 16, 25 (2015).Crossref, Medline, Google Scholar7 Horvath S, Garagnani P, Bacalini MG et al. Accelerated epigenetic aging in Down syndrome. Aging Cell 14(3), 491–495 (2015).Crossref, Medline, CAS, Google Scholar8 Horvath S, Levine AJ. HIV-1 infection accelerates age according to the epigenetic clock. J. Infect. Dis. 212(10), 1563–1573 (2015).Crossref, Medline, Google Scholar9 Levine ME, Lu AT, Bennett DA, Horvath S. Epigenetic age of the pre-frontal cortex is associated with neuritic plaques, amyloid load, and Alzheimer's disease related cognitive functioning. Aging 7(12), 1198–1211 (2015).Crossref, Medline, CAS, Google Scholar10 Levine ME, Hosgood HD, Chen B, Absher D, Assimes T, Horvath S. DNA methylation age of blood predicts future onset of lung cancer in the women's health initiative. Aging 7(9), 690 (2015).Crossref, Medline, CAS, Google Scholar11 Bohlin J, Håberg S, Magnus P et al. Prediction of gestational age based on genome-wide differentially methylated regions. Genome Biol. 17(1), 207 (2016).Crossref, Medline, CAS, Google Scholar12 Knight AK, Craig JM, Theda C et al. An epigenetic clock for gestational age at birth based on blood methylation data. Genome Biol. 17(1), 206 (2016).Crossref, Medline, Google Scholar13 Donovan EF, Tyson JE, Ehrenkranz RA et al. Inaccuracy of Ballard scores before 28 weeks' gestation. National Institute of Child Health and Human Development Neonatal Research Network. J. Pediatr. 135(2 Pt 1), 147–152 (1999).Crossref, Medline, CAS, Google Scholar14 Ballard JL, Khoury JC, Wedig K, Wang L, Eilers-Walsman BL, Lipp R. New Ballard Score, expanded to include extremely premature infants. J. Pediatr. 119(3), 417–423 (1991).Crossref, Medline, CAS, Google Scholar15 Yi SH, Xu LC, Mei K, Yang RZ, Huang DX. Isolation and identification of age-related DNA methylation markers for forensic age-prediction. Forensic Sci. Int. Genet. 11, 117–125 (2014).Crossref, Medline, CAS, Google Scholar16 Wadhwa PD, Buss C, Entringer S, Swanson JM. Developmental origins of health and disease: brief history of the approach and current focus on epigenetic mechanisms. Semin. Reprod. Med. 27(5), 358–368 (2009).Crossref, Medline, CAS, Google Scholar17 Howson CP, Kinney MV, McDougal L, Lawn JE, Born Too Soon Preterm Birth Action Group. Born too soon: preterm birth matters. Reproductive Health 10(Suppl. 1), S1 (2012).Google Scholar18 Natile M, Ventura ML, Colombo M et al. Short-term respiratory outcomes in late preterm infants. Ital. J. Pediatr. 40, 52 (2014).Crossref, Medline, Google Scholar19 Doyle LW, Ehrenkranz RA, Halliday HL. Early (< 8 days) postnatal corticosteroids for preventing chronic lung disease in preterm infants. Cochrane Database Syst. Rev. (5), CD001146 (2014).Medline, Google Scholar20 Shahzad T, Radajewski S, Chao CM, Bellusci S, Ehrhardt H. Pathogenesis of bronchopulmonary dysplasia: when inflammation meets organ development. Mol. Cell Pediatr. 3(1), 23 (2016).Crossref, Medline, Google ScholarFiguresReferencesRelatedDetailsCited ByNucleated red blood cells explain most of the association between DNA methylation and gestational age27 February 2023 | Communications Biology, Vol. 6, No. 1An EPIC predictor of gestational age and its application to newborns conceived by assisted reproductive technologies19 April 2021 | Clinical Epigenetics, Vol. 13, No. 1Maternal psychosocial risk factors and child gestational epigenetic age in a South African birth cohort study2 July 2021 | Translational Psychiatry, Vol. 11, No. 1Maternal cardiometabolic factors and genetic ancestry influence epigenetic aging of the placenta17 January 2020 | Journal of Developmental Origins of Health and Disease, Vol. 12, No. 1Accelerating research on biological aging and mental health: Current challenges and future directionsPsychoneuroendocrinology, Vol. 106DNA Methylation Signatures as Biomarkers of Prior Environmental Exposures1 February 2019 | Current Epidemiology Reports, Vol. 6, No. 1DNA Methylation–Based Measures of Biological Aging Vol. 9, No. 2 Follow us on social media for the latest updates Metrics Downloaded 126 times History Published online 23 January 2017 Published in print February 2017 Information© Future Medicine LtdKeywordsbiomarkerblood spotdevelopmental ageDNA methylationepigenetic clockgestational ageumbilical cord bloodFinancial & competing interests disclosureThis research was supported by grants from the National Institutes of Minority and Health Disparities (R01MD009064) and the National Institute of Mental Health (RC1MH088609). Salary support for AK Knight was provided, in part, by the National Institute of General Medical Sciences (T32GM008490). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.No writing assistance was utilized in the production of this manuscript.PDF download