Alzheimer’s Disease Genetics: From the Bench to the Clinic
Open accessAbstract
Alzheimer's disease (AD) is a clinically heterogeneous neurodegenerative disease with a strong genetic component. Several genes have been associated with AD risk for nearly 20 years. However, it was not until the recent technological advances that allow for the analysis of millions of polymorphisms in thousands of subjects that we have been able to advance our understanding of the genetic complexity of AD susceptibility. Genome-wide association studies and whole-exome and whole-genome sequencing have revealed more than 20 loci associated with AD risk. These studies have provided insights into the molecular pathways that are altered in AD pathogenesis, which have, in turn, provided insight into novel therapeutic targets.
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PSEN1 mutations lead to faster soluble-to-fibrillar conversion of Aβ42 promoting amyloid deposition in the brain.
“PSEN1 mutations lead to faster soluble-to-fibrillar conversion of A 𝛃 42 promoting amyloid deposition in the brain (303, 566, 580).”
From Blood-Brain Barrier: From Physiology to Disease and Back (2019) · cites this paper as [303]
The “PSEN1 and PSEN2” section says these mutations alter the Aβ42/Aβ40 ratio, and the “APP” section says Aβ42 is more prone to aggregate than Aβ40. The paper does not say PSEN1 mutations speed soluble-to-fibrillar conversion of Aβ42; it discusses accelerated aggregation in connection with APP mutations instead. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredTo date, 228 PSEN1 mutations have been identified causing ADAD.
“To date, 228 PSEN1 mutations have been identified causing ADAD (49, 303, 304, 440, 566, 580).”
From Blood-Brain Barrier: From Physiology to Disease and Back (2019) · cites this paper as [303]
The Linkage Studies section (PSEN1 and PSEN2; page unavailable) discusses disease-causing PSEN1 mutations, supporting the general connection to autosomal dominant Alzheimer’s disease. Neither that section nor the searched passages give a count of 228 PSEN1 mutations, so the specific number is unsupported by our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measuredRare mutations in amyloid precursor protein (APP), presenilin (PSEN) 1 and 2, ADAM10, and ADAM17 trigger Aβ plaque accumulation and are sufficient to induce the full biochemical and morphological signature of AD.
“Rare mutations in amyloid precursor protein (APP), presenilin (PSEN) 1 and 2 (Karch et al., 2014), ADAM10 (Suh et al., 2013), and ADAM17 (Hartl et al., 2018) trigger Aβ plaque accumulation and are sufficient to induce the full biochemical and morphological signature of AD.”
From The Major Risk Factors for Alzheimer’s Disease: Age, Sex, and Genes Modulate the Microglia Response to Aβ Plaques (2019) · cites this paper as Karch et al., 2014
The Linkage Studies section says pathogenic APP, PSEN1 and PSEN2 mutations cause early-onset AD, and the Alzheimer’s Disease section describes a hypothesis in which Aβ plaque deposition initiates later pathological changes. It does not establish that these mutations are sufficient to produce the full biochemical and morphological signature as a demonstrated fact; the Sequencing Studies section also notes that some rare variants are risk factors rather than fully causative. ADAM10 and ADAM17 have separate citations and are not assessed here (page numbers unavailable). (LLM, conf=0.85)
Experimental — accuracy not yet measuredAdditional genetic risk factors for AD hint at a plurality of mechanisms through which AD is developed.
“Besides APOE, additional genetic risk factors for AD, such as those identified by linkage analysis and GWAS in the IGAP study, hint at a plurality of mechanisms through which AD is developed (6, 44, 45).”
From Molecular subtyping of Alzheimer’s disease using RNA sequencing data reveals novel mechanisms and targets (2021) · cites this paper as [45]
Autosomal-dominant AD is caused by mutations in APP and PSEN1 and PSEN2 genes.
“Autosomal-dominant AD (ADAD) is an inherited form of AD caused by mutations in amyloid precursor protein ( APP ) and presenilin-1 and 2 ( PSEN1; PSEN2 ) genes (49, 177, 303, 304, 580).”
From Blood-Brain Barrier: From Physiology to Disease and Back (2019) · cites this paper as [303]
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“All studies were next indexed using high frequency terms, and secondary filtering was based on manually curated keywords relevant to AD pathophysiology (Karch et al., 2014) (Table S3).”
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- Authors
- Karch, C. M., Cruchaga, C., & Goate, A. M.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Goate, Alison M.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 83
- Issue
- 1
- Pages
- 11-26
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC4120741
- OpenAlex
- W2082524462
- Cited by
- 473
- References
- 179
- Citations by year
- 2026: 23 · 2025: 22 · 2024: 23 · 2023: 41 · 2022: 35 · 2021: 51 · 2020: 40 · 2019: 48 · 2018: 40 · 2017: 47 · 2016: 48 · 2015: 44 · 2014: 11
- FWCI
- 5.87
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (RF1AG044546, K01AG046374, R01AG035083, R01AG044546, AG035083, AG044546)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- Alzheimer's disease, genetic susceptibility, genetic susceptibility loci, genome-wide association study, exome sequencing, whole genome sequencing, genetic polymorphism, neurodegeneration, therapeutic target, molecular pathways
- MeSH terms
- Alzheimer Disease, Animals, Humans, Pharmacogenetics, Genetic Variation, Case-Control Studies, Genetic Predisposition to Disease
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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