Evidence map›Paper›PMID 39229494›Full record

ArticleBrain communications2024

Alzheimer's disease genetic risk and changes in brain atrophy and white matter hyperintensities in cognitively unimpaired adults.

Anja Soldan, Jiangxia Wang, Corinne Pettigrew, Christos Davatzikos, Guray Erus, Timothy J Hohman, Logan Dumitrescu, Murat Bilgel, Susan M Resnick, Leonardo A Rivera-Rivera and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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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

18 authors.

Anja SoldanDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.ORCID https://orcid.org/0000-0002-6193-0418
Jiangxia WangDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Corinne PettigrewDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Christos DavatzikosCentre for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID https://orcid.org/0000-0002-1025-8561
Guray ErusCentre for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Timothy J HohmanDepartment of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA.ORCID https://orcid.org/0000-0002-3377-7014
Logan DumitrescuDepartment of Neurology, Vanderbilt University Medical Center, Nashville, TN 37212, USA.ORCID https://orcid.org/0000-0002-9782-9944
Murat BilgelLaboratory of Behavioral Neuroscience, National Institute on Aging Intramural Research Program, Baltimore, MD 21224, USA.ORCID https://orcid.org/0000-0001-5042-7422
Susan M ResnickLaboratory of Behavioral Neuroscience, National Institute on Aging Intramural Research Program, Baltimore, MD 21224, USA.
Leonardo A Rivera-RiveraWisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA.ORCID https://orcid.org/0000-0001-5629-8721
Rebecca LanghoughWisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA.
Sterling C JohnsonWisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI 53726, USA.
Tammie BenzingerKnight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA.
John C MorrisKnight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63110, USA.
Simon M LawsCentre for Precision Health, Edith Cowan University, Joondalup, WA 6027, Australia.ORCID https://orcid.org/0000-0002-4355-7082
Jurgen FrippAustralian E-Health Research Centre, CSIRO Health & Biosecurity, Herston, QLD 4029, Australia.ORCID https://orcid.org/0000-0001-9705-0079
Colin L MastersThe Florey Institute, University of Melbourne, Parkville, VIC 3052, Australia.
Marilyn S AlbertDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI Abhay Moghekar · 2014 to 2026
$51.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
The Longitudinal Course of Neural Function and Amyloid in People At Risk for ADR01AG021155 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sterling C Johnson · 2004 to 2026
$27.0M
Wisconsin Registry for Alzheimer's PreventionRF1AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI JOHNSON, STERLING C · 2018 to 2018
$18.8M
Biomarkers of Cognitive Decline among Normal Individuals: The BIOCARD cohortU01AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 2009 to 2013
$11.2M
Preclinical AD ConsortiumRF1AG059869 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 2018 to 2018
$7.7M
NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066507NIA NIH HHS R01 AG021155NIA NIH HHS R01 AG027161NIA NIH HHS RF1 AG027161NIA NIH HHS RF1 AG059869NIA NIH HHS U01 AG033655NIA NIH HHS U19 AG033655
6 · The paper itself

Abstract

Reduced brain volumes and more prominent white matter hyperintensities on MRI scans are commonly observed among older adults without cognitive impairment. However, it remains unclear whether rates of change in these measures among cognitively normal adults differ as a function of genetic risk for late-onset Alzheimer's disease, including

Indexed as

Alzheimer’s disease (AD)APOEmagnetic resonance imaging (MRI)polygenic risk score (PRS)white matter hyperintensities

Identifiers

PMID39229494
PMCPMC11369827

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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.