Evidence map›Paper›PMID 41821829›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

Brain patterns linked to neuropsychiatric genetic risk mirror those seen in disease.

Chun-Ju Chou, Elisabetta C Del Re, Hao Wang, Kareem Hamada, Xiaoguang Tian, Olena Iakunchykova, Yunpeng Wang, Mark Fiecas, Chi-Hua Chen

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Chun-Ju ChouDepartment of Radiology, University of California, San Diego, CA, United States.ORCID https://orcid.org/0009-0002-8546-7875
Elisabetta C Del ReDepartment of Psychiatry, Harvard Medical School, Boston, MA, United States.ORCID https://orcid.org/0000-0002-9645-4845
Hao WangDepartment of Radiology, University of California, San Diego, CA, United States.ORCID https://orcid.org/0000-0002-1518-9702
Kareem HamadaDepartment of Psychiatry, Harvard Medical School, Boston, MA, United States.ORCID https://orcid.org/0009-0003-3141-6279
Xiaoguang TianDepartment of Radiology, University of California, San Diego, CA, United States.
Olena IakunchykovaDepartment of Radiology, University of California, San Diego, CA, United States.ORCID https://orcid.org/0000-0002-8972-3621
Yunpeng WangDepartment of Psychology, University of Oslo, Oslo, Norway.
Mark FiecasDivision of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-6472-9410
Chi-Hua ChenDepartment of Radiology, University of California, San Diego, CA, United States.ORCID https://orcid.org/0000-0001-5318-047X

Funding

Genetic heterogeneity and pleiotropy of neuroimaging and psychiatric phenotypesR01MH132783 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Chi-Hua Chen · 2024 to 2026
$1.9M
NIMH NIH HHS R01 MH132783
6 · The paper itself

Abstract

Analyzing brain morphological changes across individuals with varying genetic risk scores may reveal patterns of brain alterations from health to disease. This study investigates gray matter structural alterations in individuals with clinical diagnoses compared with those with genetic risk alone. UK Biobank MRI and genotypes (N = 34,720) were used to derive brain measures and polygenic risk scores, creating genetic risk brain maps for 14 neuropsychiatric disorders. Eight disorders from ENIGMA were used to construct disease brain maps. Brain maps of genetic risk and clinical diagnosis show overall alignment for ADHD, schizophrenia, bipolar disorder, and autism. Other conditions, including Alzheimer's disease, show specific brain regions linked to genetic risk aligning with established patient patterns. Incomplete data for some conditions limit analyses. ADHD and PTSD polygenic burden was associated with smaller global brain sizes, while Parkinson's disease was linked to larger brain volume. Mendelian randomization analyses revealed unidirectional relationships where the brain influences ADHD and Parkinson's disease, while a bidirectional causal association was observed for schizophrenia. Focusing on schizophrenia and bipolar disorder, we found that individuals with high genetic risk combined with smaller brain structures were more likely to have these diagnoses. Overall, the study demonstrates marked similarities in brain changes between clinical diagnoses and genetic risk for several disorders, albeit with mild effect sizes in the latter. These findings underscore the importance of genetic risk in influencing brain anatomy and the progression of neuropsychiatric disorders.

Indexed as

brain morphologyimaging geneticsMendelian randomizationMRIneuropsychiatric disorderspolygenic risk score

Identifiers

PMID41821829
PMCPMC12977089

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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.