GeMes, clusters of DNA methylation under genetic control, can inform genetic and epigenetic analysis of disease.
Am J Hum Genet
; 94(4): 485-95, 2014 Apr 03.
Article
em En
| MEDLINE
| ID: mdl-24656863
ABSTRACT
Epigenetic marks such as DNA methylation have generated great interest in the study of human disease. However, studies of DNA methylation have not established population-epigenetics principles to guide design, efficient statistics, or interpretation. Here, we show that the clustering of correlated DNA methylation at CpGs was similar to that of linkage-disequilibrium (LD) correlation in genetic SNP variation but for much shorter distances. Some clustering of methylated CpGs appeared to be genetically driven. Further, a set of correlated methylated CpGs related to a single SNP-based LD block was not always physically contiguous-segments of uncorrelated methylation as long as 300 kb could be interspersed in the cluster. Thus, we denoted these sets of correlated CpGs as GeMes, defined as potentially noncontiguous methylation clusters under the control of one or more methylation quantitative trait loci. This type of correlated methylation structure has implications for both biological functions of DNA methylation and for the design, analysis, and interpretation of epigenome-wide association studies.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Metilação de DNA
/
Predisposição Genética para Doença
/
Epigênese Genética
Limite:
Humans
Idioma:
En
Ano de publicação:
2014
Tipo de documento:
Article