Association of Prostate Cancer Risk Variants with Gene Expression in Normal and Tumor Tissue
Background: Numerous germline genetic variants are associated with prostate cancer risk, but their biological role is not well understood. One possibility is that these variants influence gene expression in prostate tissue. We therefore examined the association of prostate cancer risk variants with the expression of genes nearby and genome-wide. Methods: We generated mRNA expression data for 20,254 genes with the Affymetrix GeneChip Human Gene 1.0 ST microarray from normal prostate (N=160) and p...
Provenance — who produced it, who reused it
Linked to 18 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.
- Cholesterol uptake and regulation in high-grade and lethal prost... 2017 · 118 cites
- Cholesterol Metabolism and Prostate Cancer Lethality 2016 · 99 cites
- Gene set analysis methods: a systematic comparison 2018 · 98 cites
15 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
No quantitative QC rubric exists for this data type yet, so it is deliberately left unscored — this is an honest "not applicable", not a poor rating.
measured = computed from the data · extrapolated/reported = derived or from the repository · dq-1.0 · provisional — verify independently