HUMAN STUDY COMT and DRD3 haplotype-associated pain intensity and acute care utilization in adult sickle cell disease

Author:

Powell-Roach Keesha L123ORCID,Yao Yingwei2,Wallace Margaret R45,Chamala Srikar6,Cruz-Almeida Yenisel37,Jhun Ellie8,Molokie Robert E910ORCID,Wang Zajie Jim11,Wilkie Diana J2

Affiliation:

1. Department of Health Promotion and Disease Prevention, College of Nursing, The University of Tennessee Health Science Center, Memphis, TN 38163, USA

2. Department of Biobehavioral Nursing Science, College of Nursing, University of Florida, Gainesville, FL 32603, USA

3. Pain Research and Intervention Center of Excellence (PRICE), University of Florida, Gainesville, FL 32610, USA

4. Department of Molecular Genetics and Microbiology, College of Medicine, University of Florida, Gainesville, FL 32610, USA

5. University of Florida Genetics Institute, Gainesville, FL 32608, USA

6. Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA

7. College of Dentistry, University of Florida, Gainesville, FL 32610, USA

8. Clinical Development Team, OneOme, LLC, Minneapolis, MN 55413, USA

9. Department of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, IL 60612, USA

10. Jesse Brown VA Medical Center, Chicago, IL 60612, USA

11. Department of Biopharmaceutical Sciences, College of Pharmacy, University of Illinois, Chicago, IL 60612, USA

Abstract

A previous exploratory analysis of a COMT gene single-nucleotide polymorphism (SNP) and a DRD3 SNP by our group suggested possible contributions to pain-related acute care utilization in people with sickle cell disease (SCD). Our aim was to extend the analysis to gene-spanning haplotypes of COMT SNPs and DRD3 SNPs to investigate possible associations with pain intensity and pain-related acute care utilization in an SCD cohort. Genotyping was conducted, and clinical data were collected, including self-reported pain intensity using PAINReportIt® (average of current pain and least and worst in past 24 hours, average pain intensity [API]) and medical record-extracted, pain-related acute care utilization data of 130 adults with SCD. Haplotype blocks were identified based on linkage disequilibria (COMT = 7 haploblocks; DRD3 = 8 haploblocks). Regression analyses were tested for association between haplotypes and API and utilization, yielding several significant findings. For COMT block 1 (rs2075507, rs4646310, rs737865), the A-G-G haplotype was associated with higher API compared to the reference A-G-A ( p = 0.02), whereas the A-A-A haplotype was associated with higher utilization ( p = 0.02). For DRD3 block 2 (rs9817063, rs2134655, rs963468, and rs3773679), relative to reference T-C-G-C, the T-T-G-C haplotype was associated with higher utilization ( p = 0.01). For DRD3 block 4 (rs167770, rs324029, and rs324023), the A-G-T haplotype was associated with higher API ( p = 0.04) and utilization ( p < 0.001) relative to reference G-A-T, whereas the A-A-T haplotype was associated with higher utilization ( p = 0.01). We found COMT and DRD3 haplotypes associated with pain-related SCD features, suggesting that in future studies more emphasis be placed on cis effects of SNP alleles in evaluating genetic contributions to SCD pain and acute care utilization for pain.

Funder

National Institute on Aging

National Heart, Lung, and Blood Institute

Publisher

SAGE Publications

Subject

General Biochemistry, Genetics and Molecular Biology

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