Methylomic profiling of human brain tissue supports a neurodevelopmental origin for schizophrenia.
Background: Schizophrenia is a severe neuropsychiatric disorder that is hypothesized to result from disturbances in early brain development, and there is mounting evidence to support a role for developmentally-regulated epigenetic variation in the molecular etiology of the disorder. Here, we describe a systematic study of schizophrenia-associated methylomic variation in the adult brain and its relationship to changes in DNA methylation across human fetal brain development. Results: We profile me...
Provenance — who produced it, who reused it
Linked to 12 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.
- An epigenetic clock analysis of race/ethnicity, sex, and coronar... 2016 · 788 cites
- Methylation QTLs in the developing brain and their enrichment in... 2015 · 385 cites
- The cerebellum ages slowly according to the epigenetic clock 2015 · 198 cites
- Systematic underestimation of the epigenetic clock and age accel... 2019 · 148 cites
- Genetic architecture of epigenetic and neuronal ageing rates in... 2017 · 134 cites
- DNA Methylation Landscapes of Human Fetal Development 2015 · 110 cites
- Mapping chromatin accessibility and active regulatory elements r... 2021 · 74 cites
4 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