ArticlePharmacogenomics2015
Prevalence of pain-related single nucleotide polymorphisms in patients of African origin with sickle cell disease.
Article in Pharmacogenomics, 2015. 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 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Pharmacogenomics of Drugs Used in β-Thalassemia and Sickle-Cell Disease: From Basic Research to Clinical Applications.International journal of molecular sciences · 2024Review
- An alcohol dehydrogenase 7 gene polymorphism associates with both acute and chronic pain in sickle cell disease.Pharmacogenomics · 2023Article
- Single nucleotide polymorphisms and sickle cell disease-related pain: a systematic review.Frontiers in pain research (Lausanne, Switzerland) · 2023Review
- Article
- Genetic variants of GCH1 associate with chronic and acute crisis pain in African Americans with sickle cell disease.Experimental hematology · 2018Article
- The AVPR1A Gene and Its Single Nucleotide Polymorphism rs10877969: A Literature Review of Associations with Health Conditions and Pain.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2018Review
- Development of an AmpliSeqFrontiers in pharmacology · 2018Article
- Clinical and genetic factors are associated with pain and hospitalisation rates in sickle cell anaemia in Cameroon.British journal of haematology · 2018Article
- Pharmacogenomics of sickle cell disease: steps toward personalized medicine.Pharmacogenomics and personalized medicine · 2017Review
- Next-generation sequencing of the human TRPV1 gene and the regulating co-players LTB4R and LTB4R2 based on a custom AmpliSeq™ panel.PloS one · 2017Article
- An Expert Review of Pharmacogenomics of Sickle Cell Disease Therapeutics: Not Yet Ready for Global Precision Medicine.Omics : a journal of integrative biology · 2016Review
Corrections and comments
- Erratum issuedErratum.2016 · Kyle, Mack A [corrected to Mack, A Kyle]
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundProspective pain genetics research is hindered by a lack of data on the prevalence of polymorphisms in pain-relevant genes for patients with sickle cell disease (SCD). For African-Americans in general, limited information is available in public databases.
methodsWe prioritized and examined the genotype and allele frequencies of 115 SNPs from 49 candidate pain genes in 199 adult African-Americans and pediatric patients of African origin with SCD. Analyses were performed and compared with available data from public databases.
resultsGenotype and allele frequencies of a number of SNPs were found to be different between our cohort and those from the databases and between adult and pediatric subjects.
conclusionAs pain therapy is inadequate in a significant percentage of patients with SCD, candidate pain genetic studies may aid in designing precision pain medicine. We provide prevalence data as a reference for prospective genetic studies in this population.
Indexed as
Identifiers
What OpenQuestion holds
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.