ArticleTranslational psychiatry2019
Alzheimer's disease polygenic risk score as a predictor of conversion from mild-cognitive impairment.
Article in Translational psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 57 papers, 1 of them a synthesis that pooled it.
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Who cites it
57 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genetic loci of beta-aminoisobutyric acid are associated with aging-related mild cognitive impairment.Translational psychiatry · 2023Pooled it
- Role of Polygenic Risk Scores in Predicting Cognitive Functioning after Mild Traumatic Brain Injury: A TRACK-TBI Study.Journal of neurotrauma · 2026Article
- Article
- Improved polygenic risk prediction for alzheimer's disease and related dementias using deep learning: age and APOE-stratified analysis.Alzheimer's research & therapy · 2026Article
- Alzheimer's disease diagnosis support for brain perfusion SPECT scans in a real-world clinical cohort.Journal of Alzheimer's disease : JAD · 2026Article
- Sex-specific early cognitive changes are linked to global and pathway-specific genetic risk for Alzheimer's disease in at-risk individuals.Biology of sex differences · 2026Article
- Toward precision neuroscience in Alzheimer's disease: the role of multimodal AI.Frontiers in aging neuroscience · 2026Review
- Risk score roulette: A cautionary tale of polygenic risk score reliability.Journal of Alzheimer's disease : JAD · 2025Article
- Genetic testing of common and rare variants in dementia patients from a memory clinic : Dementia-related genetic testing in memory clinic.Alzheimer's research & therapy · 2025Article
- Utility of Polygenic Risk Scores in Families with Exceptional Longevity.medRxiv : the preprint server for health sciences · 2025Article
- Future directions for brain health clinics.BJPsych open · 2025Article
- Improving genetic risk modeling of dementia from real-world data in underrepresented populations.Communications biology · 2024Article
- Neuroticism polygenic risk predicts conversion from mild cognitive impairment to Alzheimer's disease by impairing inferior parietal surface area.Human brain mapping · 2024Article
- Recent advances in polygenic scores: translation, equitability, methods and FAIR tools.Genome medicine · 2024Review
- Review
- Multi-Omic Blood Biomarkers as Dynamic Risk Predictors in Late-Onset Alzheimer's Disease.International journal of molecular sciences · 2024Review
- Clinical use of polygenic risk scores for detection of peripheral artery disease and cardiovascular events.PloS one · 2024Article
- Validation of newly derived polygenic risk scores for dementia in a prospective study of older individuals.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Article
- A longitudinal study of polygenic score and cognitive function decline considering baseline cognitive function, lifestyle behaviors, and diabetes among middle-aged and older US adults.Alzheimer's research & therapy · 2023Article
- Identification of potential genetic Loci and polygenic risk model for Budd-Chiari syndrome in Chinese population.iScience · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
14 authors.
Funding
Abstract
Mild-cognitive impairment (MCI) occurs in up to one-fifth of individuals over the age of 65, with approximately a third of MCI individuals converting to dementia in later life. There is a growing necessity for early identification for those at risk of dementia as pathological processes begin decades before onset of symptoms. A cohort of 122 individuals diagnosed with MCI and followed up for a 36-month period for conversion to late-onset Alzheimer's disease (LOAD) were genotyped on the NeuroChip array along with pathologically confirmed cases of LOAD and cognitively normal controls. Polygenic risk scores (PRS) for each individual were generated using PRSice-2, derived from summary statistics produced from the International Genomics of Alzheimer's Disease Project (IGAP) genome-wide association study. Predictability models for LOAD were developed incorporating the PRS with APOE SNPs (rs7412 and rs429358), age and gender. This model was subsequently applied to the MCI cohort to determine whether it could be used to predict conversion from MCI to LOAD. The PRS model for LOAD using area under the precision-recall curve (AUPRC) calculated a predictability for LOAD of 82.5%. When applied to the MCI cohort predictability for conversion from MCI to LOAD was 61.0%. Increases in average PRS scores across diagnosis group were observed with one-way ANOVA suggesting significant differences in PRS between the groups (p < 0.0001). This analysis suggests that the PRS model for LOAD can be used to identify individuals with MCI at risk of conversion to LOAD.
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