A meta-analysis on age-associated changes in blood DNA methylation: results from an original analysis pipeline for Infinium 450k data

被引：47

作者：

Bacalini, Maria Giulia ^{[1
,2
,3
]}

Boattini, Alessio ^{[4
]}

Gentilini, Davide ^{[5
]}

Giampieri, Enrico ^{[6
]}

Pirazzini, Chiara ^{[1
,2
,4
]}

Giuliani, Cristina

Fontanesi, Elisa ^{[1
,2
]}

Remondini, Daniel ^{[6
]}

Capri, Miriam ^{[1
,2
]}

Del Rio, Alberto ^{[1
,7
]}

Luiselli, Donata ^{[4
]}

Vitale, Giovanni ^{[5
,8
]}

Mari, Daniela ^{[8
,9
]}

Castellani, Gastone ^{[6
]}

Di Blasio, Anna Maria ^{[5
]}

Salvioli, Stefano ^{[1
,2
]}

Franceschi, Claudio ^{[1
,2
,10
]}

Garagnani, Paolo ^{[1
,2
,11
]}

机构：

[1] Univ Bologna, Dept Expt Diagnost & Specialty Med, I-40138 Bologna, Italy

[2] Univ Bologna, Interdept Ctr L Galvani, I-40126 Bologna, Italy

[3] Personal Genom Srl, I-37134 Verona, Italy

[4] Univ Bologna, Dept Biol Geol & Environm Sci, I-40126 Bologna, Italy

[5] Ist Auxol Italiano IRCCS, Ctr Ric & Tecnol Biomed, I-20095 Cusano Milanino, Italy

[6] Univ Bologna, Dept Phys & Astron, I-40126 Bologna, Italy

[7] CNR, Inst Organ Synth & Photoreact ISOF, I-40126 Bologna, Italy

[8] Univ Milan, Dept Clin Sci & Community Hlth, Milan, Italy

[9] IRCCS Ca Granda Fdn Maggiore Policlin Hosp, Geriatr Unit, Milan, Italy

[10] IRCCS, Inst Neurol Sci, Bologna, Italy

[11] S Orsola Malpighi Polyclin, Appl Biomed Res Ctr, I-40138 Bologna, Italy

来源：

AGING-US | 2015年 / 7卷 / 02期

关键词：

DNA methylation; Infinium HumanMethylation450 BeadChip; Epigenetics; aging; EXPRESSION PROFILES; SEQUENCING DATA; CPG SITES; GENOME; GENE; HYPERMETHYLATION; PROMOTER; ARRAYS; LIVER; MICE;

D O I：

10.18632/aging.100718

中图分类号：

Q2 [细胞生物学];

学科分类号：

071009 ; 090102 ;

摘要：

Aging is characterized by a profound remodeling of the epigenetic architecture in terms of DNA methylation patterns. To date the most effective tool to study genome wide DNA methylation changes is Infinium HumanMethylation450 BeadChip (Infinium 450k). Despite the wealth of tools for Infinium 450k analysis, the identification of the most biologically relevant DNA methylation changes is still challenging. Here we propose an analytical pipeline to select differentially methylated regions (DMRs), tailored on microarray architecture, which is highly effective in highlighting biologically relevant results. The pipeline groups microarray probes on the basis of their localization respect to CpG islands and genic sequences and, depending on probes density, identifies DMRs through a single-probe or a region-centric approach that considers the concomitant variation of multiple adjacent CpG probes. We successfully applied this analytical pipeline on 3 independent Infinium 450k datasets that investigated age-associated changes in blood DNA methylation. We provide a consensus list of genes that systematically vary in DNA methylation levels from 0 to 100 years and that have a potentially relevant role in the aging process.

引用

页码：97 / 109

页数：13

共 40 条

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