Evidence map›Paper›PMID 42889516›Full record

ArticleBrain communications2026

COVID-19 pleiotropy with brain imaging-derived phenotypes highlights novel insights into the biology shared between immune function and brain variation.

Qianyu Chen, Jun He, Brenda Cabrera-Mendoza, Ziang Xu, Dan Qiu, Renato Polimanti

Abstract read
In one paragraph

Article in Brain communications, 2026. 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
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0citing papers in PubMed
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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

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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

6 authors.

Qianyu ChenDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA.
Jun HeDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA.
Brenda Cabrera-MendozaDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA.
Ziang XuDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA.ORCID https://orcid.org/0009-0009-0877-5488
Dan QiuDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA.
Renato PolimantiDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06510, USA.ORCID https://orcid.org/0000-0003-0745-6046

Funding

Leveraging genomic data to dissect the association of internalizing disorders with the risk, onset, and vulnerability of COVID-19RF1MH132337 · NIMH · YALE UNIVERSITY · PI POLIMANTI, RENATO · 2022 to 2022
$3.7M
NIMH NIH HHS RF1 MH132337
6 · The paper itself

Abstract

This study investigated the pleiotropy and the underlying biology linking COVID-19 outcomes to brain variation, leveraging genome-wide data from the COVID-19 Host Genetics Initiative and multimodal brain-wide magnetic resonance imaging from the UK Biobank. In our analyses, COVID-19 outcomes showed evidence of polygenic overlap with respect to 11 imaging-derived phenotypes (IDPs) related to brain structure (e.g. parahippocampal and entorhinal cortical thickness) and connectivity (e.g. Broca's area and dorsolateral prefrontal cortex). Among these, the genetic liability to COVID-19 hospitalization and SARS-CoV-2 infection was inversely related to the area of pars opercularis. We also identified local genetic correlations between COVID-19 outcomes and brain IDPs within five loci mapping genes involved in inflammatory response, immune regulation, brain development, and neuropsychiatric disorders (e.g.

Indexed as

geneticsgenome-wide association studiesimmune systemmagnetic resonance imagingneurobiology

Identifiers

PMID42889516
PMCPMC13669621

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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.