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Differential methylation analysis in human whole blood DNA from healthy smokers and non-smokers
To better characterize smoking–associated methylation changes in whole blood, we used Illumina HumanMethylation450 BeadChip to assess DNA samples from current (SM, n=172) and never smokers (NS, n=81).
Provenance — who produced it, who reused it
Linked to 8 papers in the literature. Roles are inferred factual signals (who deposited the data vs who reused it), with counts — never a judgement about any author.
Deposited / produced by
Douglas BellGary PittmanMichelle CampbellDan SuXuting Wang
Reused by
- Diagnostic Utility of Genome-wide DNA Methylation Testing in Gen... 2019 · 205 cites
- Gene domain-specific DNA methylation episignatures highlight dis... 2019 · 128 cites
6 further papers cite this accession but reuse could not be confirmed.
Deep data QC
metadata only · no data-level QC for this typeStandardized, field-standard QC computed by touching the data — every metric states how it was obtained
Data type / assay
methylation
Organism
Homo sapiens
Files available
IDAT, TXT
Metrics (value · how obtained)
supplementary file types
IDAT, TXT
reported
QC cost
4 s compute
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently