Evidence map›Paper›PMID 38650747›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)

Genetic and multi-omic risk assessment of Alzheimer's disease implicates core associated biological domains.

Gregory A Cary, Jesse C Wiley, Jake Gockley, Stephen Keegan, Sai Sruthi Amirtha Ganesh, Laura Heath, Robert R Butler, Lara M Mangravite, Benjamin A Logsdon, Frank M Longo and 3 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Effects of the SGLT2 inhibitor dapagliflozin in early Alzheimer's disease: A randomized controlled trial.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Trial
  3. Article
  4. Article
  5. Article
  6. Kat5 cKO mouse replicates biological domain signatures associated with Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  7. Article
  8. Mapping cross-domain drivers of Alzheimer's disease risk through integrated network analysis.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  9. Alzheimer's disease biological domain sub-stratification enhances the precision of functional analyses.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  10. Article
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  19. Trem2bioRxiv : the preprint server for biology · 2025
    Article
  20. Local genetic correlation analysis of Alzheimer's disease and stroke implicatesmedRxiv : the preprint server for health sciences · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Gregory A CaryThe Jackson Laboratory Bar Harbor Maine USA.
Jesse C WileySage Bionetworks Seattle Washington USA.
Jake GockleySage Bionetworks Seattle Washington USA.
Stephen KeeganThe Jackson Laboratory Bar Harbor Maine USA.
Sai Sruthi Amirtha GaneshSage Bionetworks Seattle Washington USA.
Laura HeathSage Bionetworks Seattle Washington USA.
Robert R ButlerStanford University School of Medicine Stanford California USA.
Lara M MangraviteSage Bionetworks Seattle Washington USA.
Benjamin A LogsdonSage Bionetworks Seattle Washington USA.
Frank M LongoStanford University School of Medicine Stanford California USA.
Allan LeveyEmory University Atlanta Georgia USA.
Anna K GreenwoodSage Bionetworks Seattle Washington USA.
Gregory W CarterThe Jackson Laboratory Bar Harbor Maine USA.
Sage Bionetworks · USJackson Laboratory · USStanford University · USEmory University · US

Funding

Vascular Structure and Function in Cognitive AgingP01AG003949 · NIA · YESHIVA UNIVERSITY · PI Richard B. LIPTON · 1985 to 2026
$73.9M
TREAT AD Structural Biology CoreU54AG065187 · NIA · EMORY UNIVERSITY · PI ALLAN I LEVEY · 2019 to 2026
$69.7M
SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
THE NIA GENETICS OF ALZHEIMER'S DISEASE DATA STORAGE SITEU24AG041689 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LI-SAN WANG · 2012 to 2026
$42.3M
THE PGRN/TDP-43 AXIS IN ALZHEIMER?S DISEASE AND NEURODEGENERATIONP50AG016574 · NIA · MAYO CLINIC ROCHESTER · PI PETERSEN, RONALD C · 1999 to 2018
$36.9M
Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's DiseaseU01AG046170 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WANG, MINGHUI, ZHANG, BIN · 2013 to 2022
$26.0M
Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI ALIREZA ATRI · 2021 to 2026
$24.9M
Risk Factors for Incident Alzheimer's Disease in a Biracial CommunityR01AG011101 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI EVANS, DENIS A · 1993 to 2010
$24.7M
Integrating the exposome and methylome to inform brain molecular changes in ADRD across established diverse cohorts.U01AG046139 · NIA · UNIVERSITY OF FLORIDA · PI ERTEKIN-TANER, NILUFER, FUNK, CORY · 2013 to 2022
$24.6M
NCRR NIH HHS KL2 RR024151NIA NIH HHS K08 AG034290NIA NIH HHS K25 AG041906NIA NIH HHS P01 AG003949NIA NIH HHS P01 AG017216NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG072980NIA NIH HHS P50 AG016574NIA NIH HHS P50 AG025711NIA NIH HHS R01 AG011101NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG018023NIA NIH HHS R01 AG030146NIA NIH HHS R01 AG032990NIA NIH HHS R01 AG036042NIA NIH HHS R01 AG036836NIA NIH HHS R01 AG042210NIA NIH HHS R01 AG043617NIA NIH HHS R01 AG057907NIA NIH HHS RC2 AG036547NIA NIH HHS RF1 AG054014NIA NIH HHS RF1 AG057440NIA NIH HHS U01 AG006786NIA NIH HHS U01 AG046139NIA NIH HHS U01 AG046152NIA NIH HHS U01 AG046170NIA NIH HHS U24 AG041689NIA NIH HHS U24 AG061340NIA NIH HHS U54 AG065187NIDA NIH HHS HHSN271201300031CNIEHS NIH HHS U01 ES017155NINDS NIH HHS R01 NS080820NINDS NIH HHS U24 NS072026
6 · The paper itself

Abstract

introductionAlzheimer's disease (AD) is the predominant dementia globally, with heterogeneous presentation and penetrance of clinical symptoms, variable presence of mixed pathologies, potential disease subtypes, and numerous associated endophenotypes. Beyond the difficulty of designing treatments that address the core pathological characteristics of the disease, therapeutic development is challenged by the uncertainty of which endophenotypic areas and specific targets implicated by those endophenotypes to prioritize for further translational research. However, publicly funded consortia driving large-scale open science efforts have produced multiple omic analyses that address both disease risk relevance and biological process involvement of genes across the genome.

methodsHere we report the development of an informatic pipeline that draws from genetic association studies, predicted variant impact, and linkage with dementia associated phenotypes to create a genetic risk score. This is paired with a multi-omic risk score utilizing extensive sets of both transcriptomic and proteomic studies to identify system-level changes in expression associated with AD. These two elements combined constitute our target risk score that ranks AD risk genome-wide. The ranked genes are organized into endophenotypic space through the development of 19 biological domains associated with AD in the described genetics and genomics studies and accompanying literature. The biological domains are constructed from exhaustive Gene Ontology (GO) term compilations, allowing automated assignment of genes into objectively defined disease-associated biology. This rank-and-organize approach, performed genome-wide, allows the characterization of aggregations of AD risk across biological domains.

resultsThe top AD-risk-associated biological domains are Synapse, Immune Response, Lipid Metabolism, Mitochondrial Metabolism, Structural Stabilization, and Proteostasis, with slightly lower levels of risk enrichment present within the other 13 biological domains. DISCUSSION: This provides an objective methodology to localize risk within specific biological endophenotypes and drill down into the most significantly associated sets of GO terms and annotated genes for potential therapeutic targets.

Indexed as

Alzheimer's diseasebiological domainendophenotypegeneticsproteomicstranscriptomics

Identifiers

PMID38650747
PMCPMC11033838
OpenAlexW4395003777

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.