Integrative gene expression studies on the path to precision medicine in Alzheimer’s and related disorders
Open accessAbstract
Background: Genetic studies in Alzheimer’s disease and related disorders (ADRD) revealed numerous disease risk loci many of which reside in noncoding regions. To translate these discoveries to precision medicine therapies and biomarkers, integrative multi‐omics studies especially combining gene expression and disease phenotypes are necessary. Method: In this presentation, we will review existing and emerging approaches in the discovery of functional disease risk variants, pathways and key disease molecules in ADRD via integrating multi‐omics and disease phenotypic data using computational systems biology followed by experimental validation. Results: Integrative genome‐wide association studies (GWAS) of ADRD risk, ADRD‐related phenotypes, gene expression and epigenetic factors such as methylation nominate disease variants and pinpoint risk mechanisms. Large scale differential gene and co‐expression network analyses discovered novel disease pathways unique to or shared between different ADRD. Experimental validations of these findings in model systems yielded high confidence molecular perturbations in ADRD. Conclusion: ADRD is characterized by molecular perturbations in myriad pathways including vascular, synaptic, immune, myelination and many others that are revealed through integrative multi‐omics studies in well‐characterized human cohorts and prioritized through experimental model systems. These molecules serve as candidate precision medicine therapeutic targets and biomarkers.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Large-scale studies such as ROS/MAP have used multi-omic data from dorsolateral prefrontal cortex tissue to identify Alzheimer's disease subtypes that exhibit distinct cognitive trajectories.
“Large-scale studies such as ROS/MAP project have utilized multi-omic data from dorsolateral prefrontal cortex tissue to identify AD subtypes that exhibit distinct cognitive trajectories.”
From Artificial intelligence-driven multi-omics approaches in Alzheimer's disease: Progress, challenges, and future directions (2025) · cites this paper as [396]
Alzheimer's disease subtypes identified from ROS/MAP differ in lipid metabolism and synaptic function.
“These subtypes differ in lipid metabolism and synaptic function, highlighting the utility of combining molecular and clinical data to capture disease heterogeneity124,255,396,397.”
From Artificial intelligence-driven multi-omics approaches in Alzheimer's disease: Progress, challenges, and future directions (2025) · cites this paper as [396]
Integration across data modalities can introduce biases, as seen in joint analyses of transcriptomic and epigenomic features, which may complicate interpretation.
“Integration across data modalities can introduce biases, as seen in joint analyses of transcriptomic and epigenomic features, which may complicate interpretation352,396.”
From Artificial intelligence-driven multi-omics approaches in Alzheimer's disease: Progress, challenges, and future directions (2025) · cites this paper as [396]
Cites
Still being checked.
Cited by
Sorted by citations
Ren, F., Wei, J., Chen, Q., Hu, M., Yu, L., Mi, J., Zhou, X., Qin, D., Wu, J., & Wu, A. (2025) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2025.07.030 · Cited by 97 · see citing works
- Authors
- Ertekin‐Taner, N.
- Affiliations
- Mayo Clinic, Jacksonville, FL USA
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2023-12
- Volume
- 19
- Issue
- S12
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- OpenAlex
- W4390195992
- Cited by
- 1
- References
- 0
- Citations by year
- 2025: 1
- FWCI
- 0.18
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Alzheimer s & Dementia (publishedVersion)
- 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 › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- Alzheimer's disease and related dementias, precision medicine
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 ›
Are you an author, or do you see a problem with this page? Request a review