{"doi":"10.1002/alz.13509","title":"NIAGADS Alzheimer's GenomicsDB: A resource for exploring Alzheimer's disease genetic and genomic knowledge","abstract":"INTRODUCTION: The National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site Alzheimer's Genomics Database (GenomicsDB) is a public knowledge base of Alzheimer's disease (AD) genetic datasets and genomic annotations. METHODS: GenomicsDB uses a custom systems architecture to adopt and enforce rigorous standards that facilitate harmonization of AD-relevant genome-wide association study summary statistics datasets with functional annotations, including over 230 million annotated variants from the AD Sequencing Project. RESULTS: GenomicsDB generates interactive reports compiled from the harmonized datasets and annotations. These reports contextualize AD-risk associations in a broader functional genomic setting and summarize them in the context of functionally annotated genes and variants. DISCUSSION: Created to make AD-genetics knowledge more accessible to AD researchers, the GenomicsDB is designed to guide users unfamiliar with genetic data in not only exploring but also interpreting this ever-growing volume of data. Scalable and interoperable with other genomics resources using data technology standards, the GenomicsDB can serve as a central hub for research and data analysis on AD and related dementias. HIGHLIGHTS: The National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site (NIAGADS) offers to the public a unique, disease-centric collection of AD-relevant GWAS summary statistics datasets. Interpreting these data is challenging and requires significant bioinformatics expertise to standardize datasets and harmonize them with functional annotations on genome-wide scales. The NIAGADS Alzheimer's GenomicsDB helps overcome these challenges by providing a user-friendly public knowledge base for AD-relevant genetics that shares harmonized, annotated summary statistics datasets from the NIAGADS repository in an interpretable, easily searchable format.","journal":"Alzheimer s & Dementia","year":2023,"id":324109,"datarank":1.0734607408227033,"base_score":3.58351893845611,"endowment":3.58351893845611,"self_citation_contribution":0.5375278407684165,"citation_network_contribution":0.5359329000542867,"self_endowment_contribution":0.5375278407684165,"citer_contribution":0.5359329000542867,"corpus_percentile":81.11704185039065,"corpus_rank":2442,"citation_count":35,"citer_count":22,"citers_with_citation_signal":14,"citers_with_endowment":14,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.9539,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":60359,"name":"Otto Valladares","orcid":"0000-0001-8055-2187","position":1,"is_corresponding":false},{"id":568259,"name":"Pavel P. Kuksa","orcid":"0000-0003-2248-6403","position":2,"is_corresponding":false},{"id":569218,"name":"Prabhakaran Gangadharan","orcid":null,"position":3,"is_corresponding":false},{"id":568260,"name":"Wan‐Ping Lee","orcid":"0000-0002-5305-1181","position":4,"is_corresponding":false},{"id":568261,"name":"Jeffrey Cifello","orcid":"0009-0000-6147-2026","position":5,"is_corresponding":false},{"id":569219,"name":"Živadin Katanić","orcid":null,"position":6,"is_corresponding":false},{"id":568262,"name":"Amanda B Kuzma","orcid":"0000-0002-6064-5420","position":7,"is_corresponding":false},{"id":568263,"name":"Nicholas R. Wheeler","orcid":"0000-0003-2248-8919","position":8,"is_corresponding":false},{"id":261839,"name":"William S. Bush","orcid":"0000-0002-9729-6519","position":9,"is_corresponding":false},{"id":568264,"name":"Yuk Yee Leung","orcid":"0000-0002-3047-5440","position":10,"is_corresponding":false},{"id":27607,"name":"Gerard D. Schellenberg","orcid":"0000-0003-1115-2475","position":11,"is_corresponding":false},{"id":6393,"name":"Christian J. Stoeckert","orcid":"0000-0002-5714-991X","position":12,"is_corresponding":false},{"id":261852,"name":"Li‐San Wang","orcid":"0000-0002-3684-0031","position":13,"is_corresponding":false},{"id":383487,"name":"Emily Greenfest‐Allen","orcid":"0000-0002-7294-8461","position":0,"is_corresponding":true}],"reference_count":55,"raw_metadata":null,"created_at":"2026-07-19T01:08:11.275604Z","pmid":"37881831","pmcid":"PMC10916966","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}