Evidence map›Paper›PMID 39448598›Full record

ArticleTranslational psychiatry2024

Genomic structural equation modeling reveals latent phenotypes in the human cortex with distinct genetic architecture.

Rajendra A Morey, Yuanchao Zheng, Henry Bayly, Delin Sun, Melanie E Garrett, Marianna Gasperi, Adam X Maihofer, C Lexi Baird, Katrina L Grasby, Ashley A Huggins and 9 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Rajendra A MoreyBrain Imaging and Analysis Center, Duke University, Durham, NC, 27710, USA.ORCID 0000-0002-6517-6969
Yuanchao ZhengNational Center for PTSD, VA Boston Healthcare System, Boston, MA, 02130, USA.ORCID 0000-0001-7571-3054
Henry BaylyNational Center for PTSD, VA Boston Healthcare System, Boston, MA, 02130, USA.
Delin SunBrain Imaging and Analysis Center, Duke University, Durham, NC, 27710, USA.ORCID 0000-0003-3283-423X
Melanie E GarrettVISN 6 MIRECC, VA Health Care System, Croasdaile Drive, Durham, NC, 27705, USA.
Marianna GasperiVA Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, 92161, USA.ORCID 0000-0003-4112-5232
Adam X MaihoferResearch Service VA, San Diego Healthcare System, San Diego, CA, 92161, USA.
C Lexi BairdBrain Imaging and Analysis Center, Duke University, Durham, NC, 27710, USA.
Katrina L GrasbyPsychiatric Genetics, QIMR, Berghofer Medical Research Institute, 4006, Brisbane, QLD, Australia.ORCID 0000-0001-8539-0228
Ashley A HugginsBrain Imaging and Analysis Center, Duke University, Durham, NC, 27710, USA.ORCID 0000-0001-7936-2116
Courtney C HaswellBrain Imaging and Analysis Center, Duke University, Durham, NC, 27710, USA.
Paul M ThompsonImaging Genetics Center, Stevens Neuroimaging & Informatics Institute Keck School of Medicine University of Southern California, Los Angeles, CA, 90033, USA.
Sarah MedlandQueensland Institute for Medical Research, Berghofer Medical Research Institute, 4006, Brisbane, QLD, Australia.ORCID 0000-0003-1382-380X
Daniel E GustavsonInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, 80303, USA.ORCID 0000-0002-1470-4928
Matthew S PanizzonStein Institute for Research on Aging, University of California San Diego, La Jolla, CA, 92093, USA.
William S KremenStein Institute for Research on Aging, University of California San Diego, La Jolla, CA, 92093, USA.
Caroline M NievergeltVA Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, CA, 92161, USA.
Allison E Ashley-KochVISN 6 MIRECC, VA Health Care System, Croasdaile Drive, Durham, NC, 27705, USA.ORCID 0000-0001-5409-9155
Mark W LogueNational Center for PTSD, VA Boston Healthcare System, Boston, MA, 02130, USA. loguem@bu.edu.

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
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2012 to 2022
$14.1M
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
Psychiatric Genomics Consortium for PTSDR01MH106595 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KARESTAN C KOENEN, Caroline M Nievergelt · 2016 to 2026
$8.4M
Trauma and Genomics Modulate Brain Structure across Common Psychiatric DisordersR01MH111671 · NIMH · DUKE UNIVERSITY · PI MARK W LOGUE, RAJENDRA A MOREY · 2017 to 2026
$4.4M
ENIGMA-SD: Understanding Sex Differences in Global Mental Health through ENIGMAR01MH116147 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2018 to 2021
$2.5M
Neurobiologically-Based Subtyping of Multi-Cohort Samples with MDD and PTSD SymptomsR01MH129832 · NIMH · DUKE UNIVERSITY · PI MOREY, RAJENDRA A, SCHMAAL, LIANNE · 2022 to 2025
$2.3M
Chronic pain conditions and internalizing psychopathology, a genetic epidemiology investigation.IK2CX002107 · VA · VA SAN DIEGO HEALTHCARE SYSTEM · PI Marianna Gasperi · 2021 to 2026
–
CSRD VA IK2 CX002107NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG076838NIBIB NIH HHS P41 EB015922NIMH NIH HHS R01 MH106595NIMH NIH HHS R01 MH111671NIMH NIH HHS R01 MH116147NIMH NIH HHS R01 MH129832U.S. Department of Health & Human Services | NIH | Center for Scientific Review (NIH Center for Scientific Review) RO1 MH129832U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) MH116147U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) RO1 MH106595U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) RO1 MH111671
6 · The paper itself

Abstract

Genetic contributions to human cortical structure manifest pervasive pleiotropy. This pleiotropy may be harnessed to identify unique genetically-informed parcellations of the cortex that are neurobiologically distinct from functional, cytoarchitectural, or other cortical parcellation schemes. We investigated genetic pleiotropy by applying genomic structural equation modeling (SEM) to map the genetic architecture of cortical surface area (SA) and cortical thickness (CT) for 34 brain regions recently reported in the ENIGMA cortical GWAS. Genomic SEM uses the empirical genetic covariance estimated from GWAS summary statistics with LD score regression (LDSC) to discover factors underlying genetic covariance, which we are denoting genetically informed brain networks (GIBNs). Genomic SEM can fit a multivariate GWAS from summary statistics for each of the GIBNs, which can subsequently be used for LD score regression (LDSC). We found the best-fitting model of cortical SA identified 6 GIBNs and CT identified 4 GIBNs, although sensitivity analyses indicated that other structures were plausible. The multivariate GWASs of the GIBNs identified 74 genome-wide significant (GWS) loci (p < 5 × 10

Indexed as

Cerebral CortexGenome-Wide Association StudyLatent Class AnalysisPhenotypeBipolar DisorderFemaleGenetic PleiotropyHumansMagnetic Resonance ImagingMajor Depressive DisorderMalePolymorphism, Single Nucleotide

Identifiers

PMID39448598
PMCPMC11502831

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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.