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Find studies

Showing 1–25 of 29 studies in Risk genes beyond APOE published 2011 (page 1 of 2) · 27,380 in the whole library · How the 0–100 score works

Browse by subject, author or institution

Each number is how many studies that link shows, with your other filters kept.

What “Risk genes beyond APOE” covers

Risk genes beyond APOE — Genome-wide studies and individual genes other than APOE that shift Alzheimer's risk.

A note on reading research. One study is rarely the final word.

We try to note the size of a study, whether it was in humans or animals, and how early-stage the finding is. If a summary here doesn't make that clear, treat it with extra caution and check the original source.

Meta-analysis of the association between variants in SORL1 and Alzheimer disease

✓ Peer-reviewed alzhub usefulness score 66 out of 100. Archives of neurology 2011-01-01

Comprehensive and unbiased meta-analysis of all published and unpublished data from case-control studies for the SORL1 single-nucleotide polymorphisms (SNPs) that had been repeatedly assessed across studies. 4 key findings →

Design: meta-analysis Participants: 12,464 Evidence: high

The authors sought to identify new susceptibility loci for Alzheimer's disease through a staged association study and by testing suggestive loci reported by the Alzheimer's Disease Genetic Consortium in a companion paper. 2 key findings →

Evidence: low

Aberrant microglial activation has been proposed to contribute to the cognitive decline in Alzheimer disease (AD), but the underlying molecular mechanisms remain enigmatic. 4 key findings →

Evidence: low

APP and APLP2 are essential at PNS and CNS synapses for transmission, spatial learning and LTP

✓ Peer-reviewed alzhub usefulness score 48 out of 100. The EMBO journal 2011-04-26

Despite its key role in Alzheimer pathogenesis, the physiological function(s) of the amyloid precursor protein (APP) and its proteolytic fragments are still poorly understood. 4 key findings →

Evidence: low

There is increasing evidence that the consumption of flavonoid-rich foods can beneficially influence normal cognitive function. 4 key findings →

Evidence: low

Alzheimer disease is characterized by accumulation of the β-amyloid peptide (Aβ) generated by β- and γ-secretase processing of the amyloid precursor protein (APP). 4 key findings →

Evidence: low

Neurotrophins, activating the PI3K/Akt signaling pathway, control neuronal survival and plasticity. 4 key findings →

Evidence: low

It has long been assumed that β-amyloid (Aβ) had to assemble into fibrillar amyloid plaques to exert its neurotoxic effects in Alzheimer disease. 4 key findings →

Evidence: low

Apolipoprotein (apo) E4 is the major genetic risk factor for Alzheimer disease (AD) and likely contributes to neuropathology through various pathways. 4 key findings →

Evidence: low

Multi-faced neuroprotective effects of Ginsenoside Rg1 in an Alzheimer mouse model

✓ Peer-reviewed alzhub usefulness score 44 out of 100. Biochimica et biophysica acta 2011-10-12

There has been no extensive characterization of the effects of Ginsenoside Rg1, a pharmacological active component purified from the nature product ginseng, in an Alzheimer's disease mouse model. 4 key findings →

Evidence: low

The role of miR-124 on the expression of β-site APP cleaving enzyme 1 (BACE1), an important cleavager of amyloid precursor protein that plays a pivotal role in the β-amyloid production, was studied in this paper using cellular models for Alzheimer' disease (AD) of cultured PC12 cell lines and primary cultured hippocampal neurons. 4 key findings →

Evidence: low

The amyloid-beta (Aβ) peptide is the derivative of amyloid precursor protein (APP) generated through sequential proteolytic processing by β- and γ-secretases. 4 key findings →

Evidence: low

Retinal amyloid peptides and complement factor H in transgenic models of Alzheimer's disease

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Neuroreport 2011-08-01

Murine transgenic models of Alzheimer's disease (Tg-AD) have been useful to analyze the contribution of β-amyloid precursor protein (βAPP), Aβ42 peptide deposition, and the proinflammatory mechanisms that characterize Alzheimer-type neuropathology. 4 key findings →

Evidence: low

Functions of the APP gene family in the nervous system: insights from mouse models

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Experimental brain research 2011-09-20

The amyloid precursor protein (APP) plays a key role in the pathogenesis of Alzheimer's disease (AD), as proteolytical cleavage of APP gives rise to the β-amyloid peptide which is deposited in the brains of Alzheimer patients. 3 key findings →

Evidence: low

β-Amyloid (Aβ), a peptide generated from the amyloid precursor protein, is widely believed to underlie the pathophysiology of Alzheimer disease (AD). 4 key findings →

Evidence: low

Amyloid precursor protein processing and Alzheimer's disease

✓ Peer-reviewed alzhub usefulness score 36 out of 100. Annual review of neuroscience 2011-01-01

Alzheimer's disease (AD), the leading cause of dementia worldwide, is characterized by the accumulation of the β-amyloid peptide (Aβ) within the brain along with hyperphosphorylated and cleaved forms of the microtubule-associated protein tau. 1 key finding →

Evidence: low

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Where “Free full text” comes from

Free full text links and the Full text may need a subscription label come from Unpaywall, Europe PMC and OpenAlex records of free copies, checked 10 Oct 2026. A study with neither is unknown, not paywalled. Show only studies that are free to read

How the 0–100 score works — and why some entries are capped

This is alzhub's own score. It is not an official metric, not an impact factor, and no journal, publisher or ranking body endorses it. We built it so that a reader who is not a scientist can tell a landmark trial from a conference abstract without having to already know the difference. Every point comes from one of 20 components, all of them printed on the study itself, so you can disagree with our arithmetic rather than having to trust the total.

  • Journal tier up to 10 pts
  • Journal's citation record up to 4 pts
  • Study design up to 12 pts
  • Strength of evidence up to 5 pts
  • Peer-review validation up to 10 pts
  • How recent up to 5 pts
  • Sample size up to 4 pts
  • Effect reported up to 3 pts
  • Studied in people up to 3 pts
  • Randomised / blinded up to 2 pts
  • Times cited up to 7 pts
  • Citations per year up to 5 pts
  • Impact for its field and year up to 6 pts
  • Cited by studies here up to 6 pts
  • Still being cited up to 4 pts
  • Senior author's track record up to 4 pts
  • Institution's track record up to 3 pts
  • Multi-centre collaboration up to 3 pts
  • Indexed in PubMed up to 2 pts
  • Free to read up to 2 pts

Journals are placed in ordered tiers, never given a numeric impact factor — we could not verify current impact factors from a source we control, and an invented one would be worse than none. Tier 1 is the top-tier general journals (NEJM, The Lancet, JAMA, Nature, Science, Nature Medicine); tier 2 is the leading specialty journals; tier 3 is every other peer-reviewed journal. A separate part scores how much the journal's own papers are cited, which tells the tier-3 journals apart.

Two rules we don't bend. First, we never fill in a missing value: if a record does not state a sample size or a design, that component scores zero, and if we simply have no data for a part, such as a citation count, that part is left out and the study is scored on the parts we could check. The study card says which. Second, anything that is not a peer-reviewed article is capped at 16/100 and carries a warning chip — so a conference abstract or a company press release can never outrank a peer-reviewed paper, no matter how good it looks.

We rank a rigorous null result — a good trial showing that something does not work — above an early positive finding. Someone deciding whether to buy a supplement is served by that, and the rigour is already counted by the design and journal components.

The score is computed from the published data alone and is reproducible: the same file always yields the same numbers.

See the whole rubric drawn out → — four charts covering all 27,380 studies: how the scores are spread and where the cap bites, which of the 20 components the library is strong and weak on, which subjects rest on stronger evidence, and what kinds of study each subject is actually built from.

What this library is — and isn't

This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 27,380 records, built mostly from automated pulls of Europe PMC (60.6% of the library) and OpenAlex (18.6%), plus smaller pulls from PubMed, Crossref and medRxiv. If a study, a drug, or a finding isn't here, that is not evidence it doesn't exist in the literature — it may simply not have been pulled in yet.

1,032 records (3.8% of the library) are not peer-reviewed — 962 of those are preprints posted before any journal review, and the rest are conference abstracts, regulatory notices and reports. Every study card on this page states its status plainly, and the score above is capped for anything that isn't a peer-reviewed article.

See the full, machine-readable breakdown of this library's coverage →

Newest studies, as a dated timeline →    Atom feed