Genomic insights into stroke recovery: cross-phenotype associations

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 behavioral 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 vs 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 associated (p<5e-5) with multiple phenotypes. To determine how these genetic variants may relate to biological mechanisms of recovery, we conducted gene enrichment analyses. Participants (n=565, 59% male) had mild-moderate initial stroke severity (median acute NIH Stroke Scale score=4). After accounting for the correlation structure among the nine phenotypes, we observed 319 cross-phenotypic single nucleotide polymorphisms (SNPs), 3.45 times the expected number. Five of the cross-phenotypic SNPs were linked to genes relevant to neural development, function, and plasticity, e.g., ERICH1 (rs11778883-C), FOX3 (rs55726768-G), LIFR-AS1 (rs76401391-T), RPS6KA2 (rs113518460-C), and TUBGCP2 (rs147150392-C), as were enrichments in RAB5-EEA1, CTNNA1-CTNNB1, CIN85-SH3GL2, and ELMO1-DOCK2 complexes. Multiple gene enrichments were found, e.g., Stroke Impact Scale-Activities of Daily Living and Patient Health Questionnaire 8 at 3 months were enriched for CREB phosphorylation, which is important for long-term potentiation. We identified cross-phenotypic single nucleotide polymorphisms associated with multiple behavioral domains of stroke recovery. Some of these genes encode, or regulate, druggable proteins. These genetic factors are not well captured by clinical or neuroimaging assessments and so provide a unique window into stroke recovery. These findings, if validated, suggest that some genes may be broadly important to stroke recovery.

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Publication Details

Journal
Brain Communications
Published
2026-08-25
DOI
https://doi.org/10.1093/braincomms/fcag322
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
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article

Genomic insights into stroke recovery: cross-phenotype associations

Fang‐Chi Hsu, Steven C. Cramer, Chad Aldridge, Matthew A. Edwardson et al.
Brain Communications
Stroke Rehabilitation and Recovery
article

Genomic insights into stroke recovery: cross-phenotype associations

Fang‐Chi Hsu, Steven C. Cramer, Chad Aldridge, Matthew A. Edwardson, Arne G. Lindgren, John W. Cole, Livia Parodi, Keith R. Lohse, Bradford Worrall, Keith Keene, Jonathan Rosand, E Alison Holman, Robynne Braun
article en

Abstract

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 behavioral 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 vs 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 associated (p<5e-5) with multiple phenotypes. To determine how these genetic variants may relate to biological mechanisms of recovery, we conducted gene enrichment analyses. Participants (n=565, 59% male) had mild-moderate initial stroke severity (median acute NIH Stroke Scale score=4). After accounting for the correlation structure among the nine phenotypes, we observed 319 cross-phenotypic single nucleotide polymorphisms (SNPs), 3.45 times the expected number. Five of the cross-phenotypic SNPs were linked to genes relevant to neural development, function, and plasticity, e.g., ERICH1 (rs11778883-C), FOX3 (rs55726768-G), LIFR-AS1 (rs76401391-T), RPS6KA2 (rs113518460-C), and TUBGCP2 (rs147150392-C), as were enrichments in RAB5-EEA1, CTNNA1-CTNNB1, CIN85-SH3GL2, and ELMO1-DOCK2 complexes. Multiple gene enrichments were found, e.g., Stroke Impact Scale-Activities of Daily Living and Patient Health Questionnaire 8 at 3 months were enriched for CREB phosphorylation, which is important for long-term potentiation. We identified cross-phenotypic single nucleotide polymorphisms associated with multiple behavioral domains of stroke recovery. Some of these genes encode, or regulate, druggable proteins. These genetic factors are not well captured by clinical or neuroimaging assessments and so provide a unique window into stroke recovery. These findings, if validated, suggest that some genes may be broadly important to stroke recovery.

Brain Communications
University of Maryland, Baltimore (US), California NanoSystems Institute (US), University of California, Los Angeles (US), Georgetown University (US), East Carolina University (US), University of California, Irvine (US), Washington University in St. Louis (US), Skåne University Hospital (SE), Baltimore VA Medical Center (US), Irvine University (US), Center for Genomic Science (IT), Wake Forest University (US), University of Virginia (US)
Openalex Percentile: Top 13%
Stroke Rehabilitation and Recovery
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