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Record W2021370113 · doi:10.1016/j.jalz.2012.05.1791

P4‐089: Candidate gene study in the endosome‐to‐Golgi retrieval pathway reveals association of retromer genes with Alzheimer's disease

2012· article· en· W2021370113 on OpenAlexaff
Badri N. Vardarajan, Sophia Y. Bruesegem, Michael E. Harbour, Peter St George‐Hyslop, Matthew Seaman, Lindsay A. Farrer

Bibliographic record

VenueAlzheimer s & Dementia · 2012
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRetromerEndosomeBiologyCell biology

Abstract

fetched live from OpenAlex

Recent genetic and cell biological studies have implicated the retromer complex in regulating the localization and processing of amyloid precursor protein (APP), establishing it as a key player in the pathogenesis of Alzheimer's disease (AD). We analyzed the association of AD with 451 SNPs in 15 genes encoding retromer or retromer-associated proteins in a sample of 8,309 AD cases and 7,366 controls. We employed VEGAS, a gene-based significance test, to test association of individual genes. Based on these results, the interaction of Snx3 with the retromer complex was tested using a yeast two-hybrid system (Y2H). We also investigated whether Snx3 and Rab7 act together or independently to regulate retromer association using SNX3 or Rab7A siRNA knockdown HeLa cells stably expressing GFP-Snx3 and GFP-Rab7a. In four of 15 retromer-related genes (KIAA1033, RAB7A, SNX1 and SNX3), 50% or more of the SNPs were significantly associated with AD at P = 0.05. Two SNPs in SNX3 were significant after multiple testing correction (best P = 0.0056 for rs12524840) and two SNPs in RAB7A nearly met gene-based significance (rs9831813, P = 0.0058; rs7631994, P = 0.0059). VEGAS analysis revealed significant association of AD with RAB7A, KIAA1033 and SNX1 at the gene level and suggestive evidence with SNX3 (P = 0.06). Analysis of Snx3 interactions with retromer components and retromer-associated proteins using the Y2H system revealed association only between Snx3 and Vps25. We also demonstrated that GFP-Snx3 co-immunoprecipitates Vps26 and Vps35 proteins. The Rab7A KD in GFP-Snx3 cells caused a reduction in Vps26 staining but there was an increase of Snx3 expression in Rab7A knockdown cells. Snx3 KD in GFP-Rab7A cells resulted in reduced GFP-Rab7A expression along with loss of expression in Vps26. In addition, we observed that elevated expression of Rab7A cannot compensate for loss of Snx3 expression. SNX3 and RAB7A provided the most compelling evidence of association with AD. Consistent with recent reports we confirmed Sxn3 interaction with the retromer. We also demonstrated that Snx3 and Rab7A regulate retromer membrane association through distinct mechanisms. These data implicate additional AD risk genes in the retromer pathway and demonstrate a direct link between the activity of the retromer complex and AD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.306
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2012
Admission routes1
Has abstractyes

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