Epigenome-wide association study of global cortical volumes in generation Scotland: Scottish family health study.

Epigenome-wide association study of global cortical volumes in generation Scotland: Scottish family health study.
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DOI:
10.1080/15592294.2021.1997404
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发表时间:
2022-10
期刊:
影响因子:
3.7
通讯作者:
Whalley, Heather
Whalley, Heather
中科院分区:
生物学3区
文献类型:
--
作者:
Barbu, Miruna Carmen;Harris, Mat;Shen, Xueyi;Aleks, Stolicyn;Green, Claire;Amador, Carmen;Walker, Rosie;Morris, Stewart;Adams, Mark;Sandu, Anca;McNeil, Christopher;Waiter, Gordon;Evans, Kathryn;Campbell, Archie;Wardlaw, Joanna;Steele, Douglas;Murray, Alison;Porteous, David;McIntosh, Andrew;Whalley, Heather

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A complex interplay of genetic and environmental risk factors influence global brain structural alterations associated with brain health and disease. Epigenome-wide association studies (EWAS) of global brain imaging phenotypes have the potential to reveal the mechanisms of brain health and disease and can lead to better predictive analytics through the development of risk scores. We perform an EWAS of global brain volumes in Generation Scotland using peripherally measured whole blood DNA methylation (DNAm) from two assessments, (i) at baseline recruitment, ~6 years prior to MRI assessment (N = 672) and (ii) concurrent with MRI assessment (N=565). Four CpGs at baseline were associated with global cerebral white matter, total grey matter, and whole-brain volume (Bonferroni p≤7.41×10−8, βrange = −1.46x10−6 to 9.59 × 10−7). These CpGs were annotated to genes implicated in brain-related traits, including psychiatric disorders, development, and ageing. We did not find significant associations in the meta-analysis of the EWAS of the two sets concurrent with imaging at the corrected level. These findings reveal global brain structural changes associated with DNAm measured ~6 years previously, indicating a potential role of early DNAm modifications in brain structure. Although concurrent DNAm was not associated with global brain structure, the nominally significant findings identified here present a rationale for future investigation of associations between DNA methylation and structural brain phenotypes in larger population-based samples.
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