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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. Risk factors

Topic: Genetics and APOE

Parkinson disease (PD) was examined in four primary adult-brain GEO cohorts (GSE49036, GSE20141, GSE8397, GSE7621) using a frozen 468-gene redox, metal, xenobiotic, and barrier panel. Inverse-variance random-effects meta-analysis (DerSimonian–Laird) produced 419 analyzable genes, 91 at Benjamini–Hochberg FDR < 0.05, and 56 high-confidence genes (FDR < 0.05, measured in ≥ 3 cohorts, direction-concordant in ≥ 70% of cohorts, and nominally significant in ≥ 2 cohorts). Median I² among high-confidence genes was 16.4%. High-confidence calls included higher abundance of selected iron-handling and stress-response transcripts and lower abundance of selected glutathione- and mitochondrial-related transcripts. These are transcript-abundance findings; they do not themselves prove iron accumulation, glutathione depletion, or complex-I failure. A compiled variant inventory includes PD-relevant published alleles (including CYP2D6 poor-metabolizer and GST/PON1/ABCB1 pesticide-interaction literature). Expression and variant layers are not combined into a clinical score. GVI, DDI, and IDRS remain uncalibrated research formulae and are not used for inference in this paper. No statistical pooling with Alzheimer, ALS, multiple sclerosis, or autism cohorts was performed. This paper is a disease-restricted companion to the methods-and-panel manuscript of this series (1).

Key findings

Study details

How this study scored 16/100
How this study's score is builtJournal tier 2 of 10; Journal's citation record 0 of 4; Study design 12 of 12; Strength of evidence 5 of 5; Peer-review validation 4 of 10; How recent 5 of 5; Sample size 0 of 4; Effect reported 2 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited left out, no data; Citations per year left out, no data; Impact for its field and year left out, no data; Cited by studies here left out, no data; Still being cited left out, no data; Senior author's track record left out, no data; Institution's track record left out, no data; Multi-centre collaboration left out, no data; Indexed in PubMed 1 of 2; Free to read 0 of 2. 31 of the 62 points it could be judged on, which is 50 of 100. Raw total 50 of 100, shown as 16 because this is not a peer-reviewed research article.raw total 50 of 100capped at 16 — hatched points do not count

Preprint — not yet peer-reviewed. It scored 50 on the same rubric, but non-peer-reviewed sources are capped at 16, so it shows as 16. Scored zero for sample size and studied in people because the record does not state it. We have no data on times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 31 of the 62 points we could judge it on, which is 50 out of 100.

ComponentPointsWhy
Journal tier 2 / 10 Tier 4 — not a peer-reviewed journal (Research Square)
Journal's citation record 0 / 4 Not a journal article, so the journal's record does not count
Study design 12 / 12 A meta-analysis pooling many studies
Strength of evidence 5 / 5 Rated “high” in our summary
Peer-review validation 4 / 10 Preprint — not yet peer-reviewed. Hosted on a preprint server.
How recent 5 / 5 2026 — within 1 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 2 / 3 Effect reported as a number, without an interval or test
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 A review of other studies — randomisation is not credited here
Times cited — / 7 No citation count (not found in OpenAlex) — left out of this score
Citations per year — / 5 No citation count or no year — left out of this score
Impact for its field and year — / 6 No field-weighted citation impact (OpenAlex has none yet) — left out of this score
Cited by studies here — / 6 Not yet checked against this library's citation graph — left out of this score
Still being cited — / 4 No yearly citation counts — left out of this score
Senior author's track record — / 4 Senior author's record not available — left out of this score
Institution's track record — / 3 No institution listed in OpenAlex — left out of this score
Multi-centre collaboration — / 3 Institutions not listed — left out of this score
Indexed in PubMed 1 / 2 Not in PubMed, but has a DOI
Free to read 0 / 2 Behind a paywall — scores zero
Points 31 / 62 Scored on 12 of 20 parts. We have no data for the rest, so they are left out: 31 of the 62 points we could judge it on is 50 out of 100.
Total 50 / 100 Capped to 16 because this is not a peer-reviewed article.

What each of these 20 components measures, and what this score is not →

Read the original

Free copy unknown: no free-copy check has an answer for this record yet. That does not mean it is paywalled.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

McCaulley, M. E. (2026). Panel-Gene Transcriptomic Associations and Published-Variant Architecture in Parkinson Disease. Research Square. https://doi.org/10.21203/rs.3.rs-11097203/v1

Vancouver

McCaulley ME. Panel-Gene Transcriptomic Associations and Published-Variant Architecture in Parkinson Disease. Research Square. 2026. doi:10.21203/rs.3.rs-11097203/v1.

BibTeX

@article{mccaulley2026-6c0ff237,
  author  = {McCaulley, M. E.},
  title   = {{Panel-Gene Transcriptomic Associations and Published-Variant Architecture in Parkinson Disease}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-11097203/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-11097203/v1}
}

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