Evidence map›Paper›PMID 39148448›Full record

ArticleAmerican journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics2025

The genetic and environmental etiology of novel frequency-driven regional parcellations of abnormal white matter.

Shu-Ju Lin, Nathan A Gillespie, Randy Notestine, Anthony C Gamst, Anna M Chen, Linda K McEvoy, Matthew S Panizzon, Jeremy A Elman, Stephen J Glatt, Donald J Hagler and 4 more

Abstract readTwin Study
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

14 authors.

Shu-Ju LinDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
Nathan A GillespieVirginia Institute for Psychiatric and Behavior Genetics, Richmond, Virginia, USA.ORCID 0000-0001-8655-2823
Randy NotestineComputational and Applied Statistics Laboratory (CASL) at the San Diego Supercomputer Center (SDSC), La Jolla, California, USA.
Anthony C GamstComputational and Applied Statistics Laboratory (CASL) at the San Diego Supercomputer Center (SDSC), La Jolla, California, USA.
Anna M ChenDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
Linda K McEvoyDepartment of Radiology, University of California, San Diego, La Jolla, California, USA.
Matthew S PanizzonDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
Jeremy A ElmanDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
Stephen J GlattPsychiatric Genetic Epidemiology & Neurobiology Laboratory (PsychGENe Lab), Departments of Psychiatry and Behavioral Sciences, Neuroscience and Physiology, and Public Health and Preventive Medicine, SUNY Upstate Medical University, Syracuse, New York, USA.
Donald J HaglerDepartment of Radiology, University of California, San Diego, La Jolla, California, USA.
Michael C NealeVirginia Institute for Psychiatric and Behavior Genetics, Richmond, Virginia, USA.ORCID 0000-0003-4887-659X
Carol E FranzDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
William S KremenDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.
Christine Fennema-NotestineDepartment of Psychiatry, University of California, San Diego, La Jolla, California, USA.ORCID 0000-0002-6527-6361

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
Urban Air Pollution and Pathological Brain Aging: A Nationwide Twin Study in MenP01AG055367 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, JIU-CHIUAN · 2018 to 2022
$11.5M
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
Genetic Predictors, Transcriptomic Biomarkers, & Neurobiological Signatures of Resilience to Alzheimer's DiseaseR01AG064955 · NIA · UPSTATE MEDICAL UNIVERSITY · PI FENNEMA-NOTESTINE, CHRISTINE, GLATT, STEPHEN J · 2019 to 2023
$3.8M
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 P01 AG055367NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG064955NIA NIH HHS R01 AG076838NIH HHS K01 AG063805NIH HHS P01 AG055367NIH HHS R01 AG022381NIH HHS R01 AG050595NIH HHS R01AG064955NIH HHS R01 AG076838
6 · The paper itself

Abstract

The prevalence of white matter disease increases with age and is associated with cerebrovascular disease, cognitive decline, and risk for dementia. MRI measures of abnormal signal in the white matter (AWM) provide estimates of damage, however, regional patterns of AWM may be differentially influenced by genetic or environmental factors. With our data-driven regional parcellation approach, we created a probability distribution atlas using Vietnam Era Twin Study of Aging (VETSA) data (n = 475, mean age 67.6 years) and applied a watershed algorithm to define separate regional parcellations. We report biometrical twin modeling for five anatomically distinct regions: (1) Posterior, (2) Superior frontal and parietal, (3) Anterior and inferior frontal with deep areas, (4) Occipital, and (5) Anterior periventricular. We tested competing multivariate hypotheses to identify unique influences and to explain sources of covariance among the parcellations. Family aggregation could be entirely explained by additive genetic influences, with additive genetic variance (heritability) ranging from 0.69 to 0.79. Most genetic correlations between parcellations ranged from moderate to high (r

Indexed as

Gene-Environment InteractionMagnetic Resonance ImagingWhite MatterAgedBrainFemaleHumansMaleMiddle Agedgenetic influencesmagnetic resonance imaging (MRI)neuroimagingregional parcellationwhite matter diseasewhite matter hyperintensities

Identifiers

PMID39148448
PMCPMC11684400

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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.