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The AVPR1A Gene and Its Single Nucleotide Polymorphism rs10877969: A Literature Review of Associations with Health Conditions and Pain.

ABSTRACT: BACKGROUND:Pain is the quintessential symptom for individuals suffering from sickle cell disease (SCD). Although the degree of suffering and the cost of treatment are staggering, SCD continues to be grossly understudied, including a lack of data for pain-related genes and prevalence of polymorphisms in this population. This lack of data adds to the inadequacy of pain therapy in this population. Pain genetics investigators have recently examined allele frequencies of single-nucleotide polymorphisms from candidate genes in people who have SCD. One of the genes identified was the arginine vasopressin receptor 1A gene (AVPR1A) and its associated single-nucleotide polymorphism (SNP) rs10877969. Progress in explaining pain-related polymorphisms associated with SCD can be facilitated by understanding the literature. Aim/Design: The purpose of this literature review was to describe mechanisms of the polymorphic gene AVPR1A and the phenotypic variations associated with its SNPs relative to health conditions and pain. METHODS:Published studies were included if the research addressed AVPR1A and was a full article in a peer-reviewed journal, in the English language, a human or animal study, and published 2009 to present. Abstracts were included if they were in English and provided information not found in a full article. RESULTS:The results of this review revealed that AVPR1A is associated with behavioral phenotypes, which include pair bonding, autism spectrum disorder, musical aptitude, infidelity, altruism, monogamy, mating, substance abuse, and alcohol preference. In addition, there were associations with pain, stress pain by sex, and sickle cell pain. CONCLUSION:Summary of this literature could provide insights into future pain research of this SNP in people with SCD.

SUBMITTER: Roach KL

PROVIDER: S-EPMC6367122 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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The AVPR1A Gene and Its Single Nucleotide Polymorphism rs10877969: A Literature Review of Associations with Health Conditions and Pain.

Roach Keesha L KL Hershberger Patricia E PE Rutherford Julienne N JN Molokie Robert E RE Wang Zaijie Jim ZJ Wilkie Diana J DJ

Pain management nursing : official journal of the American Society of Pain Management Nurses 20180302 4

<h4>Background</h4>Pain is the quintessential symptom for individuals suffering from sickle cell disease (SCD). Although the degree of suffering and the cost of treatment are staggering, SCD continues to be grossly understudied, including a lack of data for pain-related genes and prevalence of polymorphisms in this population. This lack of data adds to the inadequacy of pain therapy in this population. Pain genetics investigators have recently examined allele frequencies of single-nucleotide pol ...[more]

PMID: 29503216

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Project description:BackgroundGenome-wide association studies (GWAS) identify disease-associations for single-nucleotide-polymorphisms (SNPs) from scattered genomic-locations. However, SNPs frequently reside on several different SNP-haplotypes, only some of which may be disease-associated. This circumstance lowers the observed odds-ratio for disease-association.Methodology/principal findingsHere we develop a method to identify the two SNP-haplotypes, which combine to produce each person's SNP-genotype over specified chromosomal segments. Two multiple sclerosis (MS)-associated genetic regions were modeled; DRB1 (a Class II molecule of the major histocompatibility complex) and MMEL1 (an endopeptidase that degrades both neuropeptides and β-amyloid). For each locus, we considered sets of eleven adjacent SNPs, surrounding the putative disease-associated gene and spanning ∼200 kb of DNA. The SNP-information was converted into an ordered-set of eleven-numbers (subject-vectors) based on whether a person had zero, one, or two copies of particular SNP-variant at each sequential SNP-location. SNP-strings were defined as those ordered-combinations of eleven-numbers (0 or 1), representing a haplotype, two of which combined to form the observed subject-vector. Subject-vectors were resolved using probabilistic methods. In both regions, only a small number of SNP-strings were present. We compared our method to the SHAPEIT-2 phasing-algorithm. When the SNP-information spanning 200 kb was used, SHAPEIT-2 was inaccurate. When the SHAPEIT-2 window was increased to 2,000 kb, the concordance between the two methods, in both of these eleven-SNP regions, was over 99%, suggesting that, in these regions, both methods were quite accurate. Nevertheless, correspondence was not uniformly high over the entire DNA-span but, rather, was characterized by alternating peaks and valleys of concordance. Moreover, in the valleys of poor-correspondence, SHAPEIT-2 was also inconsistent with itself, suggesting that the SNP-string method is more accurate across the entire region.Conclusions/significanceAccurate haplotype identification will enhance the detection of genetic-associations. The SNP-string method provides a simple means to accomplish this and can be extended to cover larger genomic regions, thereby improving a GWAS's power, even for those published previously.

Dataset Information

The AVPR1A Gene and Its Single Nucleotide Polymorphism rs10877969: A Literature Review of Associations with Health Conditions and Pain.

Publications

The AVPR1A Gene and Its Single Nucleotide Polymorphism rs10877969: A Literature Review of Associations with Health Conditions and Pain.

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