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Research
29,780 Alzheimer's and dementia studies in plain English, each scored out of 100.
Find studies
Showing 301–325 of 1,002 studies in Risk genes beyond APOE marked Peer-reviewed(page 13 of 41)· 29,780 in the whole library·How the 0–100 score works
Download bibliography of the first 500 of these studies, in this order: BibTeX (.bib) · RIS (.ris)
From OpenAlex; 15,255 studies have no institution on record and are not counted here.
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.
✓ Peer-reviewedalzhub usefulness score 46 out of 100.·Neurology·2003-10-28
The authors describe a 28-year-old woman with histopathologically confirmed early onset Alzheimer disease characterized by severe frontal lobe involvement associated with a de novo mutation in the presenilin 1 gene (PSEN1). 1 key finding →
Despite tremendous investments in understanding the complex molecular mechanisms underlying Alzheimer disease (AD), recent clinical trials have failed to show efficacy. 4 key findings →
Recent studies have shown that deficient functioning of glutamate transporters (GTs) in Alzheimer disease (AD) might lead to neurodegeneration. 4 key findings →
✓ Peer-reviewedalzhub usefulness score 45 out of 100.·Biochemistry·2002-02-01
Proteolytic processing of the transmembrane domain of the amyloid precursor protein (APP) is a key component of Alzheimer's disease pathogenesis. 4 key findings →
Huperzine A (HupA), a novel alkaloid isolated from the Chinese herb Huperzia serrata, is a potent, highly specific and reversible inhibitor of acetylcholinesterase(AChE). 4 key findings →
Retinas of transgenic mice harboring a mutant presenilin (PS1) and a mutant APP gene were processed for TUNEL and immunohistochemistry with antibodies against APP, amyloid-beta, monocyte chemotactic protein (MCP)-1, and F4/80. 4 key findings →
MicroRNAs (miRNAs) are key regulatory RNAs known to repress mRNA translation through recognition of specific binding sites located mainly in their 3'-untranslated region (UTR). 4 key findings →
✓ Peer-reviewedalzhub usefulness score 45 out of 100.·PLoS biology·2007-03-01
Amyloid precursor protein (APP) facilitates synapse formation in the developing brain, while beta-amyloid (Abeta) accumulation, which is associated with Alzheimer disease, results in synaptic loss and impaired neurotransmission. 4 key findings →
Biochemical and genetic evidence establishes a central role of the amyloid precursor protein (APP) in Alzheimer disease (AD) pathogenesis. 3 key findings →
The appearance of inflammatory markers associated with amyloid plaques indicates a state of chronic inflammation in Alzheimer's disease (AD). 4 key findings →
Doubly transgenic mice expressing both a mutated amyloid precursor protein and a mutated presenilin-1 protein accumulate A(beta) deposits as they age. 4 key findings →
The neural protein FE65 contains two types of protein-protein interaction modules: one WW binding domain and two phosphotyrosine binding domains. 4 key findings →
Mutations in presenilins are responsible for approximately 40% of all early-onset familial Alzheimer disease (FAD) cases in which a genetic cause has been identified. 4 key findings →
Since the discovery of the amyloid precursor protein (APP) in 1987, extensive research has been conducted analyzing the APP-derived beta-amyloid (Abeta) which is found in massive quantities in senile plaques of Alzheimer disease (AD) patients. 4 key findings →
✓ Peer-reviewedalzhub usefulness score 45 out of 100.·FEBS letters·2013-05-16
For 20 years the amyloid cascade hypothesis of Alzheimer disease (AD) has placed the amyloid-β peptide (Aβ), formed from the amyloid precursor protein (APP), centre stage in the process of neurodegeneration. 4 key findings →
A fundamental feature of Alzheimer disease (AD) is the accumulation of beta-amyloid (Abeta), a peptide generated from the amyloid precursor protein (APP). 4 key findings →
✓ Peer-reviewedalzhub usefulness score 45 out of 100.·Anesthesiology·2010-06-01
Recent studies have suggested that children undergoing surgery under anesthesia could be at an increased risk for the development of learning disabilities, but whether anesthetics contribute to this learning disability is unclear. 4 key findings →
In Alzheimer disease, a combination of genetic predisposition and environmental factors may contribute to changes in beta-amyloid precursor protein (APP) expression, beta-amyloid peptide deposition, and neuronal loss. 4 key findings →
✓ Peer-reviewedalzhub usefulness score 45 out of 100.·Brain research·1990-04-01
To investigate the role of proteolysis in amyloid formation, we studied the localization of the proteolytic enzymes, cathepsin D and cathepsin B, in the prefrontal cerebral cortex and hippocampus of human postmortem brains from patients with Alzheimer's disease and from individuals free of neurological disease. 4 key findings →
Copper and zinc play important roles in Alzheimer disease pathology with recent reports describing potential therapeutics based on modulation of metal bioavailability. 4 key findings →
The Alzheimer amyloid precursor protein (APP) undergoes complex processing resulting in the production of a 4-kDa amyloid peptide (A beta) which has been implicated in the pathogenesis of Alzheimer's disease. 4 key findings →
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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 tierup to 10 pts
Journal's citation recordup to 4 pts
Study designup to 12 pts
Strength of evidenceup to 5 pts
Peer-review validationup to 10 pts
How recentup to 5 pts
Sample sizeup to 4 pts
Effect reportedup to 3 pts
Studied in peopleup to 3 pts
Randomised / blindedup to 2 pts
Times citedup to 7 pts
Citations per yearup to 5 pts
Impact for its field and yearup to 6 pts
Cited by studies hereup to 6 pts
Still being citedup to 4 pts
Senior author's track recordup to 4 pts
Institution's track recordup to 3 pts
Multi-centre collaborationup to 3 pts
Indexed in PubMedup to 2 pts
Free to readup 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 29,780 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 29,780 records, built mostly from automated pulls of Europe PMC
(63.8% of the library) and OpenAlex (17.1%),
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.
1,037 records (3.5% of the
library) are not peer-reviewed — 964 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.