Evidence map›Paper›PMID 37813584›Full record

ArticleNeurology2023

Single Nucleotide Polymorphisms Associated With Motor Recovery in Patients With Nondisabling Stroke: GWAS Study.

Chad M Aldridge, Robynne Braun, Keith L Keene, Fang-Chi Hsu, Bradford B Worrall

Erratum issuedOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Leveraging Mendelian randomization to inform drug discovery and development for ischemic stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Chad M AldridgeFrom the Department of Neurology (C.M.A., B.B.W.) and Center for Public Health Genomics (K.L.K., B.B.W.), University of Virginia, Charlottesville; Department of Neurology (R.B.), University of Maryland, Baltimore; Department of Biology (K.L.K.) and Center for Health Disparities, Brody School of Medicine (K.L.K.), East Carolina University, Greenville, NC; and Department of Biostatistics and Data Science (F.-C.H.), Wake Forest University School of Medicine, Winston-Salem, NC. cma7n@uvahealth.org.ORCID 0000-0003-0539-9762
Robynne BraunFrom the Department of Neurology (C.M.A., B.B.W.) and Center for Public Health Genomics (K.L.K., B.B.W.), University of Virginia, Charlottesville; Department of Neurology (R.B.), University of Maryland, Baltimore; Department of Biology (K.L.K.) and Center for Health Disparities, Brody School of Medicine (K.L.K.), East Carolina University, Greenville, NC; and Department of Biostatistics and Data Science (F.-C.H.), Wake Forest University School of Medicine, Winston-Salem, NC.ORCID 0000-0003-4243-9591
Keith L KeeneFrom the Department of Neurology (C.M.A., B.B.W.) and Center for Public Health Genomics (K.L.K., B.B.W.), University of Virginia, Charlottesville; Department of Neurology (R.B.), University of Maryland, Baltimore; Department of Biology (K.L.K.) and Center for Health Disparities, Brody School of Medicine (K.L.K.), East Carolina University, Greenville, NC; and Department of Biostatistics and Data Science (F.-C.H.), Wake Forest University School of Medicine, Winston-Salem, NC.
Fang-Chi HsuFrom the Department of Neurology (C.M.A., B.B.W.) and Center for Public Health Genomics (K.L.K., B.B.W.), University of Virginia, Charlottesville; Department of Neurology (R.B.), University of Maryland, Baltimore; Department of Biology (K.L.K.) and Center for Health Disparities, Brody School of Medicine (K.L.K.), East Carolina University, Greenville, NC; and Department of Biostatistics and Data Science (F.-C.H.), Wake Forest University School of Medicine, Winston-Salem, NC.
Bradford B WorrallFrom the Department of Neurology (C.M.A., B.B.W.) and Center for Public Health Genomics (K.L.K., B.B.W.), University of Virginia, Charlottesville; Department of Neurology (R.B.), University of Maryland, Baltimore; Department of Biology (K.L.K.) and Center for Health Disparities, Brody School of Medicine (K.L.K.), East Carolina University, Greenville, NC; and Department of Biostatistics and Data Science (F.-C.H.), Wake Forest University School of Medicine, Winston-Salem, NC.ORCID 0000-0001-9386-4091
University of Maryland, Baltimore · US

Funding

Healthy Aging In Neighborhoods of Diversity Across the Life Span (HANDLS)ZIAAG000513 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2009 to 2025
$70.9M
Targeting the p53 pathway for reversal of oral premalignancyP50CA097007 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LEE, HO-YOUNG · 2002 to 2012
$26.1M
UT M.D. Anderson Cancer Center SPORE in MelanomaP50CA093459 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GRIMM, ELIZABETH A · 2004 to 2014
$23.7M
Vitamin Intervention for Stroke Prevention (VISP)R01NS034447 · NINDS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI TOOLE, JAMES F · 1996 to 2006
$18.0M
Healthy Aging Neighborhoods of Diversity Across LifespanZ01AG000513 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2001 to 2008
$6.8M
Molecular Epidemiology of Head and Neck CancerR01ES011740 · NIEHS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WEI, QINGYI · 2001 to 2012
$6.3M
Randomized Clinical Trials - Whole Genome Studies Coordinating CenterU01HG005157 · NHGRI · UNIVERSITY OF WASHINGTON · PI HEAGERTY, PATRICK J, WEIR, BRUCE S. · 2009 to 2011
$2.4M
Pharmacogenomic studies in VISP: results & implications for clinical trial designU01HG005160 · NHGRI · UNIVERSITY OF VIRGINIA · PI SALE, MICHELE M, WORRALL, BRADFORD B · 2009 to 2011
$1.9M
Genetic Predictors for DNA Repair Phenotype in CMMR01CA100264 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WEI, QINGYI · 2004 to 2008
$1.5M
Statistical Methods for Gene Environment Interactions In Lung CancerR01CA133996 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I. · 2007 to 2009
$790k
Intramural NIH HHS Z01 AG000513Intramural NIH HHS ZIA AG000513NCI NIH HHS P50 CA093459NCI NIH HHS P50 CA097007NCI NIH HHS R01 CA100264NCI NIH HHS R01 CA133996NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG005157NHGRI NIH HHS U01 HG005160NIEHS NIH HHS R01 ES011740NINDS NIH HHS R01 NS034447
6 · The paper itself

Abstract

BACKGROUND AND

objectivesDespite notable advances in genetic understanding of stroke recovery, most studies focus only on candidate genes. To date, only 2 genome-wide association studies (GWAS) have focused on stroke outcomes, but they were limited to the modified Rankin Scale (mRS). The mRS maps poorly to biological processes. Therefore, we performed a GWAS to discover single nucleotide polymorphisms (SNPs) associated with motor recovery poststroke.

methodsWe used the Vitamin Intervention for Stroke Prevention (VISP) data set of 2,100 genotyped participants with nondisabling stroke. We included only participants who had motor impairment at randomization. Participants with a recurrent stroke during the trial were excluded. Genotyped data underwent strict quality control and imputation. The GWAS used logistic regression models with generalized estimating equations to leverage the repeated NIH Stroke Scale motor score measurements spanning 6 time points over 24 months. The primary outcome was a decrease in the motor drift score of ≥1 vs <1 at each time point. Our model estimated the odds ratio (OR) of motor improvement for each SNP after adjusting for age, sex, race, days from stroke to visit, initial motor score, VISP treatment arm, and principal components.

resultsA total of 488 (64%) participants with a mean (SD) age of 66 ± 11 years were included in the GWAS. Although no associations reached genome-wide significance ( DISCUSSION: We identified novel suggestive genetic associations with the first-ever motor-specific poststroke recovery GWAS. The results seem to describe a distinct stroke recovery phenotype compared with prior genetic stroke outcome studies that use outcome measures, such as the mRS. Replication and further mechanistic investigation are warranted. In addition, this study demonstrated a proof-of-principle approach to optimize statistical efficiency with longitudinal data sets for genetic discovery.

Indexed as

Polymorphism, Single NucleotideStrokeAgedGenome-Wide Association StudyGenotypeHumansMiddle AgedPhenotype

Identifiers

PMID37813584
PMCPMC10663021
OpenAlexW4387446490

What OpenQuestion holds

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Registered trials

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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.