The methodology is fairly novel, but the conclusions are a bit vague and it would have been best to apply Guthrie card analysis for a specific disease. It would be really neat if they analysed material from discordant twins for a complex disease i.e; juvenile diabetes. As the cost of sequencing decreases, and analysis pipelines become more streamlined, methods like arrays and MeDIP-Seq will become less attractive and will be overtaken by whole genome (oxo) bisulfite sequencing for identification of methylcytosine and hydroxymethylcytosine sites.
Genome Res. 2012 Nov;22(11):2138-45. doi: 10.1101/gr.134304.111. Epub 2012 Aug 23.
Guthrie card methylomics identifies temporally stable epialleles that are present at birth in humans.
Beyan H, Down TA, Ramagopalan SV, Uvebrant K, Nilsson A, Holland ML, Gemma C, Giovannoni G, Boehm BO, Ebers GC, Lernmark A, Cilio CM, Leslie RD,Rakyan VK.
The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, United Kingdom;
A major concern in common disease epigenomics is distinguishing causal from consequential epigenetic variation. One means of addressing this issue is to identify the temporal origins of epigenetic variants via longitudinal analyses. However, prospective birth-cohort studies are expensive and time consuming. Here, we report DNA methylomics of archived Guthrie cards for the retrospective longitudinal analyses of in-utero-derived DNA methylation variation. We first validate two methodologies for generating comprehensive DNA methylomes from Guthrie cards. Then, using an integrated epigenomic/genomic analysis of Guthrie cards and follow-up samplings, we identify interindividual DNA methylation variation that is present both at birth and 3 yr later. These findings suggest that disease-relevant epigenetic variation could be detected at birth, i.e., before overt clinical disease. Guthrie card methylomics offers a potentially powerful and cost-effective strategy for studying the dynamics of interindividual epigenomic variation in a range of common human diseases.