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Bayesian epigenome-wide association study/Evidence
Method evidence record

Bayesian epigenome-wide association study

A Bayesian EWAS is a genome-scale association analysis that links epigenetic marks — most commonly CpG-site DNA methylation — to a phenotype or trait of interest, replacing or supplementing the classical frequentist p-value framework with a Bayesian probabilistic model. It yields posterior probabilities of association and credible intervals for each CpG site, allowing formal incorporation of prior biological knowledge and more principled handling of the multiple-testing burden intrinsic to testing hundreds of thousands of sites simultaneously.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Bayesian Epigenome-Wide Association Study
Taxonomic method record · process-pipeline / bioinformatics
  • Richardson, S., Tsai, P. C., Bell, J. T., & Timpson, N. J. (2016). Bayesian approaches to studying associations between epigenetic marks and phenotypes. International Journal of Epidemiology, 45(3), 694–705. · URL
  • Johansson, A., Enroth, S., & Gyllensten, U. (2013). Continuous aging of the human DNA methylome throughout the human lifespan. PLoS ONE, 8(6), e67378. · URL
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketBayesian GWASmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketEpigenome-wide association studymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketGenome-wide association studymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-omics epigenome-wide association studymachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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