Evidence map›Paper›PMID 42695012›Full record

ArticleBrain communications2026

Genomic insights into stroke recovery: cross-phenotype associations.

Chad Aldridge, Robynne Braun, Livia Parodi, Keith Lohse, Matthew A Edwardson, John W Cole, Arne G Lindgren, Fang-Chi Hsu, Keith Keene, Bradford Worrall and 3 more

Abstract read
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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
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

13 authors.

Chad AldridgeDepartment of Neurology, University of Virginia, Charlottesville, VA 22908, USA.ORCID https://orcid.org/0000-0003-0539-9762
Robynne BraunDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Livia ParodiDepartment of Neurology, Center for Genomic Medicine, McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA.
Keith LohseProgram in Physical Therapy, Department of Neurology, Washington University, St. Louis, MO 63108, USA.ORCID https://orcid.org/0000-0002-7643-3887
Matthew A EdwardsonDepartment of Neurology and Rehabilitation Medicine, Georgetown University, Washington, DC 20007, USA.
John W ColeDepartment of Neurology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
Arne G LindgrenDepartment of Neurology, Skåne University Hospital, Lund 29189, Sweden.
Fang-Chi HsuDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC 27101, USA.
Keith KeeneDepartment of Biology, East Carolina University, Greenville, NC 27858, USA.
Bradford WorrallDepartment of Neurology, University of Virginia, Charlottesville, VA 22908, USA.
Jonathan RosandDepartment of Neurology, Center for Genomic Medicine, McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA.
E Alison HolmanSue & Bill Gross School of Nursing and Department of Psychological Science, University of California, Irvine, Irvine, CA 92697, USA.
Steven C CramerDepartment of Neurology, University of California, Los Angeles, CA 90095-1769, USA.

Funding

CNV And Stroke (CaNVAS)R01NS114045 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI COLE, JOHN W. · 2020 to 2024
$2.6M
Genetic variation, stress, and functional outcomes after stroke rehabilitationR01NR015591 · NINR · UNIVERSITY OF CALIFORNIA-IRVINE · PI CRAMER, STEVEN C., HOLMAN, ELLEN ALISON · 2015 to 2020
$2.6M
BLRD VA I01 BX004672NINDS NIH HHS R01 NS114045NINR NIH HHS R01 NR015591
6 · The paper itself

Abstract

Stroke is a major cause of long-term disability with variable recovery. While clinical factors such as initial severity play a role, genetic factors are increasingly recognized as important contributors to stroke recovery. Genotype studies are generally focused on a single post-stroke behavioural domain, but some genes might relate to broad mechanisms of plasticity. This study therefore aimed to identify cross-phenotypic genetic variants associated across two or more stroke recovery domains. DNA from Stroke, Stress, Rehabilitation, and Genetics study participants was genotyped, resulting in 9 814 610 variants. In order to examine cross-phenotypic results, we first conducted genome-wide association studies on the six recovery domains: motor (grip force), cognition (Telephone Montreal Cognitive Assessment), depression (Patient Health Questionnaire-8), stress (Primary Care Post-Traumatic Stress Disorder Screen), functional status (Stroke Impact Scale-Activities of Daily Living), and disability (modified Rankin Scale 0-2 versus 3-6), some of which were tested longitudinally, yielding nine phenotypes. Models were adjusted for age, sex, initial severity (NIH Stroke Scale score), and ancestry. Cross-phenotype associations were identified by evaluating single nucleotide polymorphisms (SNPs) associated (

Indexed as

genomicsGWASneuroplasticityrecoverystroke

Identifiers

PMID42695012
PMCPMC13540738

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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.