2016
DOI: 10.1038/nbt.3605
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Quantitative comparison of DNA methylation assays for biomarker development and clinical applications

Abstract: DNA methylation patterns are altered in numerous diseases and often correlate with clinically relevant information such as disease subtypes, prognosis and drug response. With suitable assays and after validation in large cohorts, such associations can be exploited for clinical diagnostics and personalized treatment decisions. Here we describe the results of a community-wide benchmarking study comparing the performance of all widely used methods for DNA methylation analysis that are compatible with routine clin… Show more

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Cited by 279 publications
(131 citation statements)
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References 72 publications
(70 reference statements)
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“…Lack of standardization of the methylation analysis, in addition to inclusion of different CpG sites for analyses might also be a contributing factor to why the BLUEPRINT consortium recently recommended absolute quantitative analyses over qMSP/MethyLight [25]. Engaging 18 laboratories across 7 countries, they performed a quantitative comparison of the performance of the most widely used methods for DNA methylation analysis.…”
Section: Editorial Lind and Van Engelandmentioning
confidence: 99%
See 1 more Smart Citation
“…Lack of standardization of the methylation analysis, in addition to inclusion of different CpG sites for analyses might also be a contributing factor to why the BLUEPRINT consortium recently recommended absolute quantitative analyses over qMSP/MethyLight [25]. Engaging 18 laboratories across 7 countries, they performed a quantitative comparison of the performance of the most widely used methods for DNA methylation analysis.…”
Section: Editorial Lind and Van Engelandmentioning
confidence: 99%
“…Engaging 18 laboratories across 7 countries, they performed a quantitative comparison of the performance of the most widely used methods for DNA methylation analysis. Carefully selected, designed and validated qMSP/MethyLight assays were however acknowledged for the ability to detect small amounts of methylated DNA in an excess of unmethylated DNA in a cost-effective manner [25], in spite of the generally lower correlation between these assays compared with the absolute quantitative assays. Among the locus-specific analyses for DNA methylation assessment, qMSP/ MethyLight is commonly used.…”
Section: Editorial Lind and Van Engelandmentioning
confidence: 99%
“…In light of (i) challenges with the experimental setup when using patient material, (ii) costs, and (iii) the extensive computational analysis associated with the exploratory phase of biomarker discovery, genome-wide screens are often performed on relatively small cohorts. Independent of the (statistical) methods used, it is essential to validate (sets of) candidate biomarkers in follow-up studies on large cohorts using targeted epigenetic approaches before potential application in the clinic [85]. …”
Section: Main Textmentioning
confidence: 99%
“…To narrow down and validate candidate biomarkers, more targeted DNA methylation assays are used on the same or a very similar-sized cohort [101]. Subsequently, the remaining candidate biomarkers are further validated on larger cohorts using targeted DNA methylation assays that are compatible with routine clinical use, for example, by amplicon bisulfite sequencing [85]. Using this powerful workflow, tumors for which prognostic biomarkers have been identified include rectal cancer [102], breast cancer [103], hepatocellular carcinoma [104], and chronic lymphocytic leukemia (CLL) [105, 106].…”
Section: Main Textmentioning
confidence: 99%
“…The project partners contributed to the development of new technologies as well as standard operation procedures and data sharing mechanisms that serve as common worldwide standards in epigenomics. Among many important discoveries, the BLUEPRINT researchers elegantly demonstrated the feasibility of epigenetic analysis for clinical diagnostics [33][34][35][36]. The impressive body of knowledge produced by this project is exempli fied, for example, by the major coordinated set of pub lications recently released.…”
Section: Support For Pm Research In Fp7 and Horizon 2020mentioning
confidence: 99%