Gene Expression Profiles in BA46 of Subjects with Schizophrenia and Matched Controls
Results from clinical and imaging studies provide evidence for changes in schizophrenia with disease progression, however, the underlying molecular differences that may occur at different stages of illness have not been investigated. To test the hypothesis that the molecular basis for schizophrenia changes from early to chronic illness, we profiled genome-wide expression patterns in prefrontal cortex of schizophrenic subjects at different stages of illness, along with their age- and sex-matched...
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.
- Shared molecular neuropathology across major psychiatric disorde... 2018 · 1,155 cites
- Two gene co-expression modules differentiate psychotics and cont... 2012 · 166 cites
- SZDB: A Database for Schizophrenia Genetic Research 2016 · 124 cites
- Genome-wide expression profiling of schizophrenia using a large... 2012 · 95 cites
- Weighted Frequent Gene Co-expression Network Mining to Identify... 2012 · 86 cites
- Implications of Newly Identified Brain eQTL Genes and Their Inte... 2018 · 80 cites
- EW_dmGWAS: edge-weighted dense module search for genome-wide ass... 2015 · 75 cites
11 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