Integration of Structural Variant Data into the NIAGADS Alzheimer's Genomics Database: Enhancing Understanding of Alzheimer's Disease Mechanisms

Identification and analysis of SVs in AD is essential for gaining a more comprehensive understanding of the genetic underpinnings of this complex disease. By making these data accessible and placing them in the broader genomic context, inclusion of the ADSP Structural Variant study results in the GenomicsDB creates a unique and valuable resource for AD-researchers.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70855_103672
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00
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article

Integration of Structural Variant Data into the NIAGADS Alzheimer's Genomics Database: Enhancing Understanding of Alzheimer's Disease Mechanisms

Živadin Katanić, Otto Valladares, Po‐Liang Cheng, Sam Tate et al.
Alzheimer s & Dementia
Genomics and Rare Diseases
article

Integration of Structural Variant Data into the NIAGADS Alzheimer's Genomics Database: Enhancing Understanding of Alzheimer's Disease Mechanisms

Živadin Katanić, Otto Valladares, Po‐Liang Cheng, Sam Tate, Li‐San Wang, Emily Greenfest‐Allen, Wan‐Ping Lee, Hui Wang
article en

Abstract

Identification and analysis of SVs in AD is essential for gaining a more comprehensive understanding of the genetic underpinnings of this complex disease. By making these data accessible and placing them in the broader genomic context, inclusion of the ADSP Structural Variant study results in the GenomicsDB creates a unique and valuable resource for AD-researchers.

Alzheimer s & DementiaVol. 21(S1)
University of Pennsylvania (US)
Openalex Percentile: Top 25%
Genomics and Rare Diseases
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