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Evaluating Associations between Average Pain Intensity and Genetic Variation in People with Sickle Cell Disease: An Exploratory Study.
Knisely, Mitchell R; Yang, Qing; Stauffer, Nic; Kenney, Martha; Ashley-Koch, Allison; Myers, John; Walker, Julia K L; Tanabe, Paula J; Shah, Nirmish R.
Afiliación
  • Knisely MR; Duke University School of Nursing, Durham, North Carolina. Electronic address: mitchell.knisely@duke.edu.
  • Yang Q; Duke University School of Nursing, Durham, North Carolina.
  • Stauffer N; Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, North Carolina.
  • Kenney M; Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina.
  • Ashley-Koch A; Departments of Medicine and Biostatistics and Bioinformatics, Duke Molecular Physiology Institute, Durham, North Carolina; Duke University School of Medicine, Durham, North Carolina.
  • Myers J; Duke University School of Nursing, Durham, North Carolina.
  • Walker JKL; Duke University School of Nursing, Durham, North Carolina.
  • Tanabe PJ; Duke University School of Nursing, Durham, North Carolina.
  • Shah NR; Duke University School of Medicine, Durham, North Carolina.
Pain Manag Nurs ; 24(1): 12-18, 2023 02.
Article en En | MEDLINE | ID: mdl-36096903
ABSTRACT

BACKGROUND:

Pain is one of the most common and deleterious symptoms experienced by individuals with sickle cell disease (SCD). There is a paucity of studies identifying potential genetic mechanisms of pain in this population.

AIM:

Examine associations between 11 functional single nucleotide polymorphisms in 9 candidate genes with reports of average pain intensity in individuals with sickle cell disease.

METHOD:

Cross-sectional analyses were performed on data and blood samples collected through the Duke SCD Implementation Consortium Registry. Participants were asked to rate their pain "on the average" using an 11-point numeric rating scale (0 = no pain; 10 = pain as bad as you can imagine). We genotyped 11 single nucleotide polymorphisms in 9 pain-related genes using TaqMan® Genotyping Assays. Associations between each polymorphism and reports of average pain were evaluated.

RESULTS:

The 86 participants (mean age 28.7 years; 64% female) included in this study reported moderate pain on average (Mean = 4, Standard Deviation = 2.4). ICAM1 rs1799969 was the only genetic polymorphism that was significantly associated with pain (p = .01). Individuals with one or more minor alleles had lower average pain (Mean = 1.25, Standard Deviation = 1.50) than individuals without a minor allele (Mean = 4.13, Standard Deviation = 2.25). The effect size for ICAM1 rs1799969 was 1.30, which is considered large. The effect sizes for all other single nucleotide polymorphisms ranged from small to medium (range 0-0.3).

CONCLUSIONS:

Our findings provide preliminary evidence that the minor allele in ICAM1 rs1799969 had protective effects against experiencing more severe pain in sickle cell disease.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Anemia de Células Falciformes Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Pain Manag Nurs Asunto de la revista: ENFERMAGEM / NEUROLOGIA / PSICOFISIOLOGIA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Anemia de Células Falciformes Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Pain Manag Nurs Asunto de la revista: ENFERMAGEM / NEUROLOGIA / PSICOFISIOLOGIA Año: 2023 Tipo del documento: Article
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