Literature DB >> 28703682

A MBD-seq protocol for large-scale methylome-wide studies with (very) low amounts of DNA.

Karolina A Aberg1, Robin F Chan1, Andrey A Shabalin1, Min Zhao1, Gustavo Turecki2, Nicklas Heine Staunstrup3,4,5,6, Anna Starnawska3,5,6, Ole Mors4,7,5, Lin Y Xie1, Edwin Jcg van den Oord1.   

Abstract

We recently showed that, after optimization, our methyl-CpG binding domain sequencing (MBD-seq) application approximates the methylome-wide coverage obtained with whole-genome bisulfite sequencing (WGB-seq), but at a cost that enables adequately powered large-scale association studies. A prior drawback of MBD-seq is the relatively large amount of genomic DNA (ideally >1 µg) required to obtain high-quality data. Biomaterials are typically expensive to collect, provide a finite amount of DNA, and may simply not yield sufficient starting material. The ability to use low amounts of DNA will increase the breadth and number of studies that can be conducted. Therefore, we further optimized the enrichment step. With this low starting material protocol, MBD-seq performed equally well, or better, than the protocol requiring ample starting material (>1 µg). Using only 15 ng of DNA as input, there is minimal loss in data quality, achieving 93% of the coverage of WGB-seq (with standard amounts of input DNA) at similar false/positive rates. Furthermore, across a large number of genomic features, the MBD-seq methylation profiles closely tracked those observed for WGB-seq with even slightly larger effect sizes. This suggests that MBD-seq provides similar information about the methylome and classifies methylation status somewhat more accurately. Performance decreases with <15 ng DNA as starting material but, even with as little as 5 ng, MBD-seq still achieves 90% of the coverage of WGB-seq with comparable genome-wide methylation profiles. Thus, the proposed protocol is an attractive option for adequately powered and cost-effective methylome-wide investigations using (very) low amounts of DNA.

Entities:  

Keywords:  Blood spots; lab-technical optimization; low-input DNA; methyl-CpG binding domain sequencing; methylome-wide association study; methylome-wide coverage; whole-genome bisulfite sequencing

Mesh:

Substances:

Year:  2017        PMID: 28703682      PMCID: PMC5739096          DOI: 10.1080/15592294.2017.1335849

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  20 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-01       Impact factor: 11.205

2.  Whole-genome DNA methylation profiling using MethylCap-seq.

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Review 7.  The methylome: approaches for global DNA methylation profiling.

Authors:  Stephan Beck; Vardhman K Rakyan
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8.  Comparison of sequencing-based methods to profile DNA methylation and identification of monoallelic epigenetic modifications.

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Journal:  Nat Biotechnol       Date:  2010-09-19       Impact factor: 54.908

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Authors:  David Serre; Byron H Lee; Angela H Ting
Journal:  Nucleic Acids Res       Date:  2009-11-11       Impact factor: 16.971

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5.  Dual methylation and hydroxymethylation study of alcohol use disorder.

Authors:  Shaunna L Clark; Robin F Chan; Min Zhao; Lin Y Xie; William E Copeland; Brenda W J H Penninx; Karolina A Aberg; Edwin J C G van den Oord
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6.  A methylation study of long-term depression risk.

Authors:  Shaunna L Clark; Mohammad W Hattab; Robin F Chan; Andrey A Shabalin; Laura K M Han; Min Zhao; Johannes H Smit; Rick Jansen; Yuri Milaneschi; Lin Ying Xie; Gerard van Grootheest; Brenda W J H Penninx; Karolina A Aberg; Edwin J C G van den Oord
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7.  Convergence of evidence from a methylome-wide CpG-SNP association study and GWAS of major depressive disorder.

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9.  Cell-free DNA methylome profiling by MBD-seq with ultra-low input.

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10.  Methylome-wide association findings for major depressive disorder overlap in blood and brain and replicate in independent brain samples.

Authors:  Karolina A Aberg; Brian Dean; Andrey A Shabalin; Robin F Chan; Laura K M Han; Min Zhao; Gerard van Grootheest; Lin Y Xie; Yuri Milaneschi; Shaunna L Clark; Gustavo Turecki; Brenda W J H Penninx; Edwin J C G van den Oord
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