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1 records shown · first 60Transcript-Level In Silico Analysis of Alzheimer's Disease-Related Gene Biomarkers and Their Evaluation with Bioactive Flavonoids to Explore Therapeutic Interactions.
PMID 37929088 | PMCID PMC10621018 | DOI 10.1021/acsomega.3c05769 · ACS omega · 2023 · 5 validated mentions
Evidence preview
| Type | Entity | Source evidence | Confidence | Extractor |
|---|---|---|---|---|
| variant | rs182024939 | “With downstream functional effect predictions, a single variation (rs182024939: K > N) of the MAPT gene with nine transcript SNPs was identified as the most pathogenic variation from the large dataset of mutations.” | 0.90 | hgvs_regex_v1 |
| gene | APP | “According to the NIA-AA (National Institute on Aging-Alzheimer's Association) framework, we selected three AD biomarker genes (APP, NEFL, and MAPT).” | 0.98 | hgnc_dict_v1 |
| gene | NEFL | “According to the NIA-AA (National Institute on Aging-Alzheimer's Association) framework, we selected three AD biomarker genes (APP, NEFL, and MAPT).” | 0.98 | hgnc_dict_v1 |
| gene | MAPT | “According to the NIA-AA (National Institute on Aging-Alzheimer's Association) framework, we selected three AD biomarker genes (APP, NEFL, and MAPT).” | 0.98 | hgnc_dict_v1 |