Evidence map›Paper›PMID 37563770›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Transcriptional risk scores in Alzheimer's disease: From pathology to cognition.

Jung-Min Pyun, Young Ho Park, Jiebiao Wang, David A Bennett, Paula J Bice, Jun Pyo Kim, SangYun Kim, Andrew J Saykin, Kwangsik Nho

Open access · hybridAbstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Transcriptional risk score for chronic kidney disease: relation to Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Integrating polygenic and transcriptional risk scores for detecting Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Transcriptional risk scores in Alzheimer's disease: From pathology to cognition.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    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

9 authors at 6 institutions in 2 countries.

Jung-Min PyunDepartment of Neurology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Yongsan-gu, Seoul, Republic of Korea.
Young Ho ParkDepartment of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea.
Jiebiao WangDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
David A BennettDepartment of Neurological Science, Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
Paula J BiceDepartment of Radiology and Imaging Sciences, and the Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Jun Pyo KimDepartment of Radiology and Imaging Sciences, and the Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana, USA.
SangYun KimDepartment of Neurology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea.
Andrew J SaykinDepartment of Radiology and Imaging Sciences, and the Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Kwangsik NhoDepartment of Radiology and Imaging Sciences, and the Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Indiana University School of MedicineSeoul National University Bundang Hospital · KRIndiana University – Purdue University Indianapolis · USRush University Medical Center · USSoonchunhyang University Hospital Seoul · KRUniversity of Pittsburgh · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI LEURGANS, SUE E. · 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
Peripheral and Central Biomarkers of Alzheimer's Disease in Diverse CohortsU19AG074879 · NIA · MAYO CLINIC JACKSONVILLE · PI Minerva Maria Carrasquillo · 2023 to 2026
$42.0M
Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 1991 to 2020
$37.3M
Rush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7M
Research Education ComponentP30AG072976 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI ANDREW J SAYKIN · 2021 to 2026
$24.1M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease BiobanksU01AG068057 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christos Davatzikos, Heng Huang · 2020 to 2026
$20.7M
Multi-omic network-directed proteoform discovery, dissection and functional validation to prioritize novel AD therapeutic targetsU01AG061356 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2018 to 2022
$13.7M
Pathway discovery, validation and compound identification for Alzheimer's disease - SupplementU01AG046152 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2013 to 2017
$13.6M
KBASE2: Korean Brain Aging Study, Longitudinal Endophenotypes and Systems BiologyU01AG072177 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI LEE, DONG YOUNG, NHO, KWANGSIK TIMOTHY · 2021 to 2025
$11.2M
NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG072975NIA NIH HHS P30 AG072976NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG019771NIA NIH HHS R01 AG057739NIA NIH HHS R01 AG068193NIA NIH HHS R01 AG069901NIA NIH HHS R03 AG063250NIA NIH HHS T32 AG071444NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG046152NIA NIH HHS U01 AG061356NIA NIH HHS U01 AG068057NIA NIH HHS U01 AG072177NIA NIH HHS U19 AG074879NIH HHS P30AG010133NIH HHS P30AG072976NIH HHS R01AG019771NIH HHS R01AG057739NIH HHS R01AG068193NIH HHS R01AG069901NIH HHS R01LM012535NIH HHS R01LM013463NIH HHS R01MH123184NIH HHS R03AG063250NIH HHS R03 OD034501NIH HHS R03OD034501NIH HHS R37MH057881NIH HHS T32AG071444NIH HHS U01AG024904NIH HHS U01AG068057NIH HHS U01AG072177NIH HHS U19AG074879NIMH NIH HHS R01 MH123184NIMH NIH HHS R37 MH057881NLM NIH HHS R01 LM012535NLM NIH HHS R01 LM013463
6 · The paper itself

Abstract

introductionOur previously developed blood-based transcriptional risk scores (TRS) showed associations with diagnosis and neuroimaging biomarkers for Alzheimer's disease (AD). Here, we developed brain-based TRS.

methodsWe integrated AD genome-wide association study summary and expression quantitative trait locus data to prioritize target genes using Mendelian randomization. We calculated TRS using brain transcriptome data of two independent cohorts (N = 878) and performed association analysis of TRS with diagnosis, amyloidopathy, tauopathy, and cognition. We compared AD classification performance of TRS with polygenic risk scores (PRS).

resultsHigher TRS values were significantly associated with AD, amyloidopathy, tauopathy, worse cognition, and faster cognitive decline, which were replicated in an independent cohort. The AD classification performance of PRS was increased with the inclusion of TRS up to 16% with the area under the curve value of 0.850. DISCUSSION: Our results suggest brain-based TRS improves the AD classification of PRS and may be a potential AD biomarker. HIGHLIGHTS: Transcriptional risk score (TRS) is developed using brain RNA-Seq data. Higher TRS values are shown in Alzheimer's disease (AD). TRS improves the AD classification power of PRS up to 16%. TRS is associated with AD pathology presence. TRS is associated with worse cognitive performance and faster cognitive decline.

Indexed as

Alzheimer DiseaseTauopathiesBiomarkersCognitionGenetic Risk ScoreGenome-Wide Association StudyHumansRisk FactorsBiomarkersAlzheimer's diseaseamyloidopathycognitioncognitive declinepolygenic risk scoretauopathytranscriptional risk scoretranscriptome

Identifiers

PMID37563770
PMCPMC10840812
OpenAlexW4385751810

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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.