Advanced search
Publication Cover
Epigenomics Volume 10, 2018 - Issue 9
Submit an article Journal homepage
2,959
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Methylomic Changes in Response to Micronutrient Supplementation and MTHFR Genotype

Aaron J Stevens1 Department of Pathology and Biomedical Science, University of Otago, Christchurch, P.O. Box 4345, Christchurch, New ZealandCorrespondence[email protected]
View further author information
,
Julia J Rucklidge2 Department of Psychology, University of Canterbury, Christchurch, New ZealandView further author information
,
Kathryn A Darling2 Department of Psychology, University of Canterbury, Christchurch, New ZealandView further author information
,
Matthew JF Eggleston3 Department of Psychological Medicine, University of Otago, Christchurch, P.O. Box 4345, Christchurch, New ZealandView further author information
,
John F Pearson1 Department of Pathology and Biomedical Science, University of Otago, Christchurch, P.O. Box 4345, Christchurch, New ZealandView further author information
&
Martin A Kennedy1 Department of Pathology and Biomedical Science, University of Otago, Christchurch, P.O. Box 4345, Christchurch, New ZealandView further author information
Pages 1201-1214 | Received 15 Feb 2018, Accepted 10 May 2018, Published online: 05 Sep 2018

Figures & data

Table 1.  Clinical description of cohort.

Table 2.  Oligonucleotide sequences.

Table 3.  Differentially methylated probes identified by Minfi.

Figure 1.  Hierarchical clustering of β-values.

Hierarchical clustering performed using the top 100 most significant probes (Supplementary Table 3). The change in relative methylation values (β) is represented on the y-axis and individuals from each treatment are represented on the x-axis.

Figure 1.  Hierarchical clustering of β-values. Hierarchical clustering performed using the top 100 most significant probes (Supplementary Table 3). The change in relative methylation values (β) is represented on the y-axis and individuals from each treatment are represented on the x-axis.
Figure 2.  Change in β-values for top most significant differentially methylated probes.

Change in methylation values is represented on the y-axis, in each instance the boxplot on the left represents the control group and the boxplot on the right represents the treatment group. (A) Chr1:204985932; (B) Chr3:183913285; (C) Chr8:25829073; (D) Chr11: 16430764; (E) Chr17: 39120012; (F) Chr10:8092775.

Figure 2.  Change in β-values for top most significant differentially methylated probes. Change in methylation values is represented on the y-axis, in each instance the boxplot on the left represents the control group and the boxplot on the right represents the treatment group. (A) Chr1:204985932; (B) Chr3:183913285; (C) Chr8:25829073; (D) Chr11: 16430764; (E) Chr17: 39120012; (F) Chr10:8092775.

Table 4.  Differentially methylated regions.

Table 5.  Comparison of the MTHFR genotype frequencies observed in our attention-deficit/hyperactivity disorder study sample, with the wider population of similar descent.

Table 6.  Significant differentially methylated regions.

Table 7.  10 most significant probes with respect to A1298C* and C677T genotypes.

Table 8.  KEGG gene pathway analysis of top 100 probes demonstrating differential methylation.

Supplemental material

Supplemental Table 1

Download MS Word (305.8 KB)

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.