Evidence map›Paper›PMID 35493948›Full record

ArticleFrontiers in aging neuroscience2022

The Impact of Genes and Environment on Brain Ageing in Males Aged 51 to 72 Years.

Nathan A Gillespie, Sean N Hatton, Donald J Hagler, Anders M Dale, Jeremy A Elman, Linda K McEvoy, Lisa T Eyler, Christine Fennema-Notestine, Mark W Logue, Ruth E McKenzie and 10 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. 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
0.9field-weighted citation impact, top 29% 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, 8 citations in OpenAlex.

  1. Article
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  3. The genetic and environmental etiology of novel frequency-driven regional parcellations of abnormal white matter.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025
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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

20 authors at 9 institutions in 3 countries.

Nathan A GillespieVirginia Institute for Psychiatric and Behaviour Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States.
Sean N HattonDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Donald J HaglerDepartment of Radiology, University of California, San Diego, La Jolla, CA, United States.
Anders M DaleDepartment of Neurosciences, University of California, San Diego, La Jolla, CA, United States.
Jeremy A ElmanDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Linda K McEvoyHerbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States.
Lisa T EylerDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Christine Fennema-NotestineDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Mark W LogueNational Center for PTSD, VA Boston Healthcare System, Boston, MA, United States.
Ruth E McKenzieDepartment of Psychology, Boston University, Boston, MA, United States.
Olivia K PuckettDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Xin M TuCenter for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, United States.
Nathan WhitselDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Hong XianDepartment of Epidemiology and Biostatistics, Saint. Louis University, St. Louis, MO, United States.
Chandra A ReynoldsDepartment of Psychology, University of California, Riverside, Riverside, CA, United States.
Matthew S PanizzonDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Michael J LyonsDepartment of Psychological and Brain Sciences, Boston University, Boston, MA, United States.
Michael C NealeVirginia Institute for Psychiatric and Behaviour Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States.
William S KremenDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Carol FranzDepartment of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
University of California, San Diego · USHuman Longevity (United States) · USBoston University · USMerrimack College · USNational Center for PTSD · USQIMR Berghofer Medical Research Institute · AUSaint Louis University · USUniversity of California, Riverside · USVrije Universiteit Amsterdam · NL

Funding

The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
The VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)R01AG076838 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE, Jeremy A Elman · 2022 to 2026
$8.7M
Linking genetic subtypes of Alzheimer's disease to biological and cognitive heterogeneityK01AG063805 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A · 2021 to 2024
$516k
NIA NIH HHS K01 AG063805NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG076838
6 · The paper itself

Abstract

Magnetic resonance imaging data are being used in statistical models to predicted brain ageing (PBA) and as biomarkers for neurodegenerative diseases such as Alzheimer's Disease. Despite their increasing application, the genetic and environmental etiology of global PBA indices is unknown. Likewise, the degree to which genetic influences in PBA are longitudinally stable and how PBA changes over time are also unknown. We analyzed data from 734 men from the Vietnam Era Twin Study of Aging with repeated MRI assessments between the ages 51-72 years. Biometrical genetic analyses "twin models" revealed significant and highly correlated estimates of additive genetic heritability ranging from 59 to 75%. Multivariate longitudinal modeling revealed that covariation between PBA at different timepoints could be explained by a single latent factor with 73% heritability. Our results suggest that genetic influences on PBA are detectable in midlife or earlier, are longitudinally very stable, and are largely explained by common genetic influences.

Indexed as

Alzheimers’s diseasecognitive declinedevelopmentgenelongitudinal predicted brain agingMRIpredicted brain ageingtwin

Identifiers

PMID35493948
PMCPMC9051484
OpenAlexW4223971016

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.