Characterization of functional methylomes by next-generation capture sequencing identifies novel disease-associated variants.

ABSTRACT: Most genome-wide methylation studies (EWAS) of multifactorial disease traits use targeted arrays or enrichment methodologies preferentially covering CpG-dense regions, to characterize sufficiently large samples. To overcome this limitation, we present here a new customizable, cost-effective approach, methylC-capture sequencing (MCC-Seq), for sequencing functional methylomes, while simultaneously providing genetic variation information. To illustrate MCC-Seq, we use whole-genome bisulfite sequencing on adipose tissue (AT) samples and public databases to design AT-specific panels. We establish its efficiency for high-density interrogation of methylome variability by systematic comparisons with other approaches and demonstrate its applicability by identifying novel methylation variation withi

SUBMITTER: Allum F 

PROVIDER: S-EPMC4544751 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature