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dc.contributor.advisorBoardman, James
dc.contributor.advisorBastin, Mark
dc.contributor.advisorCox, Simon
dc.contributor.authorWheater, Emily Nicola Wynne
dc.date.accessioned2022-01-12T11:03:38Z
dc.date.available2022-01-12T11:03:38Z
dc.date.issued2021-12-07
dc.identifier.urihttps://hdl.handle.net/1842/38401
dc.identifier.urihttp://dx.doi.org/10.7488/era/1666
dc.description.abstractEarly life environmental stress, indexed by perinatal factors such as birth weight and gestational age, is associated with differences in brain structure and connectivity in early life, as well as being associated with a range of neurodevelopmental, psychiatric and cognitive outcomes, from childhood and into adulthood. While studies have investigated how these early life factor influence brain structure in early life, few have investigated this in older age. The molecular underpinnings of these relationships are not well understood. DNA methylation is an epigenetic mechanism that regulates gene expression; it is developmentally dynamic and responsive to environmental factors, making it a promising candidate for providing mechanistic insight into how early life stressors exert their effects. The aims of this thesis are as follows: to better characterise the associations between birth weight and brain structure and connectivity in later-life; to evaluate the evidence that DNAm is implicated in brain structure and function; to investigate the impact of gestational age at birth on the neonatal methylome and its association with brain connectivity. In the first study, I investigated the associations between variation in normal birth weight and measures of brain structure and connectivity in participants aged 73 years from the Lothian Birth Cohort 1936. Larger birth weight was associated with larger brain volume, and with regional cortical surface area, but not with white matter microstructure. This relationship between birth weight and brain size did not appear to be related to the degree of atrophy that had taken place. Early life growth is likely to be associated with brain tissue reserve, in evidence in later life. In the second study, I conducted a systematic review to evaluate the evidence linking DNA methylation to brain structure and function across the life-course. Sixty studies, encompassing both health and disease contexts, were identified. Together, these studies indicated that differential DNAm is associated with brain structure and function for 8 categories of disease across the life course, although uncertainties remain. Modest consistency between DNAm and neuroimaging features precluded the possibility of quantitative synthesis. I identified potential sources of bias in existing literature, enabling the development of guidelines that could reduce methodological heterogeneity in imaging-DNAm studies. Finally, I identified a DNAm signature of gestational age in neonatal saliva samples and tested its association with brain white matter microstructure. Participants were neonates, born preterm or term, recruited to the Theirworld Edinburgh Birth Cohort. There was widespread differential methylation associated with gestational age at birth, at term equivalent age. Several genes were identified that have previously been implicated in association with gestational age in cord blood, and with disorders known to contribute to the aetiology of preterm birth, such as pre-eclampsia. An epigenome-wide variable of the DNAm signature was associated with white matter microstructure, suggesting that DNAm contributes to white matter dysconnectivity in the neonatal period. This thesis provides evidence that early life exerts an effect on brain structure into later life, that DNAm and MRI neuroimaging are associated across the life-course and in a range of health and disease contexts, and that DNAm is profoundly altered in association with variation in gestational age and that this may contribute to white matter connectivity in the neonatal period.en
dc.contributor.sponsorWellcome Trusten
dc.language.isoenen
dc.publisherThe University of Edinburghen
dc.relation.hasversionCaitlin Davies, Olivia K L Hamilton, Monique Hooley, Tuula E Ritakari, Anna J Stevenson, Emily N W Wheater, Translational neuroscience: the state of the nation (a PhD student perspective), Brain Communications, Volume 2, Issue 1, 2020, fcaa038, https://doi.org/10.1093/braincomms/fcaa038en
dc.relation.hasversionWheater, E., Mair, G., Sudlow, C. et al. A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records. BMC Med Inform Decis Mak 19, 184 (2019). https://doi.org/10.1186/s12911-019-0908-7en
dc.relation.hasversionBlesa M, Galdi P, Sullivan G, Wheater EN, Stoye DQ, Lamb GJ, Quigley AJ, Thrippleton MJ, Bastin ME and Boardman JP (2020) Peak Width of Skeletonized Water Diffusion MRI in the Neonatal Brain. Front. Neurol. 11:235. doi: 10.3389/fneur.2020.00235en
dc.relation.hasversionEmily N.W. Wheater, D.Q. Stoye, S.R. Cox, J.M. Wardlaw, A.J. Drake, M.E. Bastin, J.P. Boardman (2020) DNA methylation and brain structure and function across the life course: a systematic review Neurosci. Biobehav. Rev., 113, pp. 133-156, 10.1016/j.neubiorev.2020.03.007en
dc.relation.hasversionEmily N.W. Wheater, Susan D. Shenkin, Susana Muñoz Maniega, Maria Valdés Hernández, Joanna M. Wardlaw, Ian J. Deary, Mark E. Bastin, James P. Boardman, Simon R. Cox. Birth weight is associated with brain tissue volumes seven decades later, but not with age-associated changes to brain structure bioRxiv 2020.08.27.270033; doi: 10.1101/2020.08.27.270033 Revisions have been submitted to NeuroImage: Clinicalen
dc.subjectbirth weighten
dc.subjectDNA methylationen
dc.subjectbrain structureen
dc.subjectneonatal salivaen
dc.subjectearly life stressoren
dc.titleInvestigation into DNAm and brain structural and connectomic covariance: a life course approachen
dc.typeThesis or Dissertationen
dc.type.qualificationlevelDoctoralen
dc.type.qualificationnamePhD Doctor of Philosophyen


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