ArticleEpigenetics2017
A MBD-seq protocol for large-scale methylome-wide studies with (very) low amounts of DNA.
Article in Epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
31 citing papers in PubMed.
- Circulating cell-free methylated DNA immunoprecipitation sequencing (cfMeDIP-seq) in oncology: from technological advances to clinical applications.NPJ precision oncology · 2026Review
- Review
- Insights from a methylome-wide association study of antidepressant exposure.Nature communications · 2025Article
- DNA methylation in esophageal cancer: technological advances and early detection clinical applications.Frontiers in oncology · 2025Review
- The Impact of Childhood Mental Health and Substance Use on Methylation Aging Into Adulthood.Journal of the American Academy of Child and Adolescent Psychiatry · 2024Article
- DNA methyltransferase 1 (DNMT1) promotes cyst growth and epigenetic age acceleration in autosomal dominant polycystic kidney disease.Kidney international · 2024Article
- Investigating neonatal health risk variables through cell-type specific methylome-wide association studies.Clinical epigenetics · 2024Article
- Cell-type specific methylation changes in the newborn child associated to obstetric pain relief.PloS one · 2024Article
- Genes implicated by a methylome-wide schizophrenia study in neonatal blood show differential expression in adult brain samples.Molecular psychiatry · 2023Article
- Early adversities accelerate epigenetic aging into adulthood: a 10-year, within-subject analysis.Journal of child psychology and psychiatry, and allied disciplines · 2022Article
- Circulating Cell-Free DNA-Based Methylation Pattern in Saliva for Early Diagnosis of Head and Neck Cancer.Cancers · 2022Review
- DNA methylation signatures of childhood trauma predict psychiatric disorders and other adverse outcomes 17 years after exposure.Molecular psychiatry · 2022Article
- SEEMLIS: a flexible semi-automated method for enrichment of methylated DNA from low-input samples.Clinical epigenetics · 2022Article
- Cell-free DNA methylome profiling by MBD-seq with ultra-low input.Epigenetics · 2022Article
- Dual methylation and hydroxymethylation study of alcohol use disorder.Addiction biology · 2022Article
- DNA methylation of the KLK8 gene in depression symptomatology.Clinical epigenetics · 2021Article
- A targeted solution for estimating the cell-type composition of bulk samples.BMC bioinformatics · 2021Article
- The Detection of Cancer Epigenetic Traces in Cell-Free DNA.Frontiers in oncology · 2021Review
- Cell-Free DNA-Methylation-Based Methods and Applications in Oncology.Biomolecules · 2020Review
- The story of the lost twins: decoding the genetic identities of the Kumhar and Kurcha populations from the Indian subcontinent.BMC genetics · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
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.
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Registered trials
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