Evidence map›Paper›PMID 24904231›Full record

ArticleInternational journal of medical sciences2014

A novel catechol-O-methyltransferase variant associated with human disc degeneration.

Helen E Gruber, Wei Sha, Cory R Brouwer, Nury Steuerwald, Gretchen L Hoelscher, Edward N Hanley

Open access · goldAbstract read
In one paragraph

Article in International journal of medical sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. The Role of Genetic Polymorphisms in Chronic Pain Patients.International journal of molecular sciences · 2018
    Review
  9. 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

6 authors at 2 institutions in 1 country.

Helen E Gruber1. Department of Orthopaedic Surgery, Carolinas Medical Center, Charlotte, N.C.;
Wei Sha2. Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, N.C.; ; 3. Bioinformatics Services Division, North Carolina Research Campus, Kannapolis, N.C.;
Cory R Brouwer2. Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, N.C.; ; 3. Bioinformatics Services Division, North Carolina Research Campus, Kannapolis, N.C.;
Nury Steuerwald4. Molecular Core and Microarray Labs, Cannon Research Center, Carolinas Medical Center, Charlotte, N.C.
Gretchen L Hoelscher1. Department of Orthopaedic Surgery, Carolinas Medical Center, Charlotte, N.C.;
Edward N Hanley1. Department of Orthopaedic Surgery, Carolinas Medical Center, Charlotte, N.C.;
Carolinas Medical Center · USUniversity of North Carolina at Charlotte · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisc degeneration and its associated low back pain are a major health care concern causing disability with a prominent role in this country's medical, social and economic structure. Low back pain is devastating and influences the quality of life for millions. Low back pain lifetime prevalence approximates 80% with an estimated direct cost burden of $86 billion per year. Back pain patients incur higher costs, greater health care utilization, and greater work loss than patients without back pain.

methodsResearch was performed following approval of our Institutional Review Board. DNA was isolated, processed and amplified using routine techniques. Amplified DNA was hybridized to Affymetrix Genome-Wide Human SNP Arrays. Quality control and genotyping analysis were performed using Affymetrix Genotyping Console. The Birdseed v2 algorithm was used for genotyping analysis. 2589 SNPs were selected a priori to enter statistical analysis using lotistic regression in SAS.

resultsOur objective was to search for novel single nucleotide polymorphisms (SNPs) associated with disc degeneration. Four SNPs were found to have a significant relationship to disc degeneration; three are novel. Rs165656, a new SNP found to be associated with disc degeneration, was in catechol-O-methyltransferase (COMT), a gene with well-recognized pain involvement, especially in female subjects (p=0.01). Analysis confirmed the previously association between COMT SNP rs4633 and disc degeneration. We also report two novel disc degeneration-related SNPs (rs2095019 and rs470859) located in intergenic regions upstream to thrombospondin 2.

conclusionsFindings contribute to the challenging field of disc degeneration and pain, and are important in light of the high clinical relevance of low back pain and the need for improved understanding of its fundamental basis.

Indexed as

AdultCatechol O-MethyltransferaseFemaleGenetic Association StudiesHumansIntervertebral Disc DegenerationLow Back PainMaleMiddle AgedPainPolymorphism, Single NucleotideSex CharacteristicsCatechol O-Methyltransferasecatechol-O-methyltransferase (COMT)low back pain.SNP

Identifiers

PMID24904231
PMCPMC4045795
OpenAlexW2054009330

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.