Evidence map›Paper›PMID 39079071›Full record

Observational studyNeurology2024

Genetic Associations With an Amyotrophic Lateral Sclerosis Reversal Phenotype.

Jesse I Crayle, Evadnie Rampersaud, Jason R Myers, Joanne Wuu, J Paul Taylor, Gang Wu, Michael Benatar, Richard S Bedlack

Registry-linked trialAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03464903 (ALS Reversals), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT03464903 completednot on this map

ALS Reversals: Genetic Analyses (St.A.R. Protocol 2) RDCRN CReATe Protocol #8007

Typeobservational_patient_registrySponsorDuke UniversityRan2018 to 2023Enrolled26ConditionsAmyotrophic Lateral Sclerosis, Progressive Muscular Atrophy
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Review
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

8 authors.

Jesse I CrayleFrom the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN.ORCID 0000-0001-5019-338X
Evadnie RampersaudFrom the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN.ORCID 0000-0001-5195-5366
Jason R MyersFrom the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN.
Joanne WuuFrom the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN.ORCID 0009-0005-9643-9855
J Paul TaylorFrom the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN.
Gang WuFrom the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN.ORCID 0000-0002-1678-5864
Michael BenatarFrom the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN.ORCID 0000-0003-4241-5135
Richard S BedlackFrom the Department of Neurology (J.I.C., R.S.B.), Duke University School of Medicine, Durham, NC; Department of Neurology (J.I.C.), Washington University in Saint Louis, MO; Center for Applied Bioinformatics (E.R., J.R.M., G.W.), St. Jude Children's Research Hospital, Memphis, TN; Department of Neurology (J.W., M.B.), University of Miami Miller School of Medicine, FL; and Department of Cell and Molecular Biology (J.P.T.), St. Jude Children's Research Hospital, Memphis, TN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe term "ALS Reversal" describes patients who initially meet diagnostic criteria for amyotrophic lateral sclerosis (ALS) or had clinical features most consistent with progressive muscular atrophy (PMA) but subsequently demonstrated substantial and sustained clinical improvement. The objective of this genome-wide association study (GWAS) was to identify correlates of this unusual clinical phenotype.

methodsParticipants were recruited from a previously created database of individuals with the ALS Reversal phenotype. Whole-genome sequencing (WGS) data were compared with ethnicity-matched patients with typically progressive ALS enrolled through the CReATe Consortium's Phenotype-Genotype-Biomarker (PGB) study. These results were replicated using an independent ethnically matched WGS data set from Target ALS. Significant results were further explored with available databases of genetic regulatory markers and expression quantitative trait loci (eQTL) analysis.

resultsWGS from 22 participants with documented ALS Reversals was compared with the PGB primary cohort (n = 103) and the Target ALS validation cohort (n = 140). Two genetic loci met predefined criteria for statistical significance (two-sided permutation DISCUSSION: We found a significant association between the Reversal phenotype and an TRIAL REGISTRATION INFORMATION: This study was registered with ClinicalTrials.gov (NCT03464903) on March 14, 2018. The first participant was enrolled on June 22, 2018.

Indexed as

Amyotrophic Lateral SclerosisGenome-Wide Association StudyPhenotypeAgedCohort StudiesFemaleHumansMaleMiddle AgedPolymorphism, Single NucleotideQuantitative Trait LociWhole Genome Sequencing

Identifiers

PMID39079071
PMCPMC11286288

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Registered trials

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.