Evidence map›Paper›PMID 36511390›Full record

ArticleAnnals of neurology2023

Alzheimer's Disease Genetic Risk, Cognition, and Brain Aging in Midlife.

Willa D Brenowitz, Myriam Fornage, Lenore J Launer, Mohamad Habes, Christos Davatzikos, Kristine Yaffe

Abstract read
In one paragraph

Article in Annals of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Observational
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

6 authors.

Willa D BrenowitzDepartments of Psychiatry and Behavioral Sciences, Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0002-0902-6720
Myriam FornageThe University of Texas, Health Science Center at Houston, Houston, Texas, USA.
Lenore J LaunerLaboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland, USA.
Mohamad HabesNeuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
Christos DavatzikosDepartment of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Kristine YaffeDepartments of Psychiatry and Behavioral Sciences, Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.

Funding

MVP Data Integration into the ADSP Phenotype Harmonization ConsortiumU24AG074855 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CUCCARO, MICHAEL L, HOHMAN, TIMOTHY J · 2021 to 2025
$37.5M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Neela K Patel · 2021 to 2026
$24.0M
PRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9M
Cognitively Healthy Nonagenarians in the Cross Cohort Collaboration (CCC)RF1AG059421 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SESHADRI, SUDHA · 2018 to 2018
$6.1M
Population Based Research for Alzheimer's Innovation (POP BRAIN)R35AG071916 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAFFE, KRISTINE · 2021 to 2024
$3.8M
Lifecourse CVD Risk and Midlife Cognitive Trajectories and Brain Aging: Implications for Alzheimer's and Dementia PreventionR01AG063887 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI YAFFE, KRISTINE · 2019 to 2022
$3.0M
Multiethnic machine learning brain signatures of ADRDR01AG080821 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HABES, MOHAMAD · 2022 to 2025
$2.9M
Biomedical Image Computing and Informatics ClusterS10OD023495 · OD · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2017
$1.9M
ADSP Follow-up in Multi-Ethnic Cohorts via Endophenotypes, Omics & Model SystemsU01AG052409 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FORNAGE, MYRIAM, SESHADRI, SUDHA · 2016 to 2020
$1.6M
Sensory Impairments, Cognitive Decline, and Dementia: What Explains the Association?K01AG062722 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRENOWITZ, WILLA DOMINO · 2019 to 2023
$652k
NHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007INIA NIH HHS K01 AG062722NIA NIH HHS P30 AG066546NIA NIH HHS R01 AG063887NIA NIH HHS R01 AG080821NIA NIH HHS R35 AG071916NIA NIH HHS RF1 AG059421NIA NIH HHS U01 AG052409NIA NIH HHS U24 AG074855NIH HHS S10 OD023495NINDS NIH HHS R01 NS017950
6 · The paper itself

Abstract

We examined associations of an Alzheimer's disease (AD) Genetic Risk Score (AD-GRS) and midlife cognitive and neuroimaging outcomes in 1,252 middle-aged participants (311 with brain MRI). A higher AD-GRS based on 25 previously identified loci (excluding apolipoprotein E [APOE]) was associated with worse Montreal Cognitive Assessment (-0.14 standard deviation [SD] [95% confidence interval {CI}: -0.26, -0.02]), older machine learning predicted brain age (2.35 years[95%CI: 0.01, 4.69]), and white matter hyperintensity volume (0.35 SD [95% CI: 0.00, 0.71]), but not with a composite cognitive outcome, total brain, or hippocampal volume. APOE ε4 allele was not associated with any outcomes. AD risk genes beyond APOE may contribute to subclinical differences in cognition and brain health in midlife. ANN NEUROL 2023;93:629-634.

Indexed as

Alzheimer DiseaseAgingApolipoprotein E4Apolipoproteins EBrainChild, PreschoolCognitionHumansMiddle AgedApolipoprotein E4Apolipoproteins E

Identifiers

PMID36511390
PMCPMC9974745

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.