Skip to main content
Log in

Gene and Protein Domain-Specific Patterns of Genetic Variability Within the G-Protein Coupled Receptor Superfamily

  • Original Research Article
  • Published:
American Journal of Pharmacogenomics

Abstract

Introduction: Guanine nucleotide binding proteins (G-proteins) represent the targets for >50% of all therapeutics. There is substantial interindividual variation in response to agonists and antagonists directed to these receptors, which may, in part, be due to genetic polymorphisms. As a class, the sequence variability of G-protein-coupled eceptor (GPCR) genes has not been characterized.

Study design: This variability was investigated by sequencing promoter, 5′- and 3′-UTR, coding blocks, and intron-exon boundaries, of 64 GPCR genes in an ethnically diverse group of 82 individuals.

Results: Of the 675 single-nucleotide variations found, 61% occurred in ≥1% of the population sample and the nature of these 412 single nucleotide polymorphisms (SNPs) was assessed. 5′-UTR (p = 0.002) and coding (p = 0.006) SNPs were observed more often in GPCR genes, compared with 309 non-GPCR genes similarly interrogated. The prevalence of non-synonymous coding SNPs was unexpectedly high, with 65% of GPCR genes having at least one. Intron-containing genes had half as many non-synonymous coding SNPs compared with intronless genes (p = 0.0009), suggesting that when introns are not available coding regions provide sites for variation. A distinct relationship between the prevalence of non-synonymous SNPs and receptor structural domains was evident (p = 0.0006 by ANOVA), with variability being most prominent in the transmembrane spanning domains (38%) and the intracellular loops (24%). Phosphoregulatory domains, particularly the carboxy terminus, often the site for agonist-promoted phosphorylation by G-protein coupled receptor kinases, were the least polymorphic (8%).

Conclusions: There is substantial genetic variability in potentially pharmacologically relevant coding and noncoding regions of GPCRs. Such variability should be considered in the development of new agents, or optimization of existing agents, targeted to these receptors.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Table I
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Table II
Fig. 7

Similar content being viewed by others

Notes

  1. 1For the current study, GPCR genes were removed from this latter data set, thus the set used for comparison has 309 genes.

References

  1. Rana BK, Shiina T, Insel PA. Genetic variations and polymorphisms of G protein-coupled receptors: functional and therapeutic implications. Annu Rev Pharmacol Toxicol 2001; 41: 593–624

    Article  PubMed  CAS  Google Scholar 

  2. Muller G. Towards 3D structures of G protein-coupled receptors: a multidisciplinary approach. Curr Med Chem 2000; 7: 861–88

    Article  PubMed  CAS  Google Scholar 

  3. Gershengorn MC, Osman R. Minireview: insights into G protein-coupled receptor function using molecular models. Endocrinology 2001; 142: 2–10

    Article  PubMed  CAS  Google Scholar 

  4. Drazen JM, Silverman EK, Lee TH. Heterogeneity of therapeutic responses in asthma. Br Med Bull 2000; 56: 1054–70

    Article  PubMed  CAS  Google Scholar 

  5. Israel E, Drazen JM, Liggett SB, et al. The effect of polymorphisms of the β2-adrenergic receptor on the response to regular use of albuterol in asthma. Am J Respir Crit Care Med 2000; 162: 75–80

    PubMed  CAS  Google Scholar 

  6. Drysdale CM, McGraw DW, Stack CB, et al. Complex promoter and coding region β 2-adrenergic receptor haplotypes alter receptor expression and predict in vivo responsiveness. Proc Natl Acad Sci U S A 2000; 97: 10483–8

    Article  PubMed  CAS  Google Scholar 

  7. Grant JA, Danielson L, Rihoux J-P, et al. A double-blind, single-dose, crossover comparison of cetirizine, ebastine, epinastine, fexofenadine, terfenadine, and loratadine versus placebo. Allergy 1999; 54: 700–7

    Article  PubMed  CAS  Google Scholar 

  8. van Campen LC, Visser FC, Visser CA. Ejection fraction improvement by beta-blocker treatment in patients with heart failure: an analysis of studies published in the literature. J Cardiovasc Pharmacol 1998; 32Suppl. 1: S31–5

    PubMed  Google Scholar 

  9. Dickerson JE, Hingorani AD, Ashby MJ, et al. Optimisation of antihypertensive treatment by crossover rotation of four major classes. Lancet 1999; 353: 2008–13

    Article  PubMed  CAS  Google Scholar 

  10. Cravchik A, Sibley DR, Gejman PV. Analysis of neuroleptic binding affinities and potencies for the different human D2 dopamine receptor missense variants. Pharmacogenetics 1999; 9: 17–23

    Article  PubMed  CAS  Google Scholar 

  11. Kiel S, Bruss M, Bonisch H, et al. Pharmacological properties of the naturally occurring Phe-124-Cys variant of the human 5-HT1B receptor: changes in ligand binding, G-protein coupling and second messenger formation. Pharmacogenetics 2000; 10: 655–66

    Article  PubMed  CAS  Google Scholar 

  12. Bray MS, Krushkal J, Li L, et al. Positional genomic analysis identifies the β2-adrenergic receptor gene as a susceptibility locus for human hypertension. Circulation 2000; 101: 2877–82

    Article  PubMed  CAS  Google Scholar 

  13. Liggett SB, Wagoner LE, Craft LL, et al. The Ile164 β2-adrenergic receptor polymorphism adversely affects the outcome of congestive heart failure. J Clin Invest 1998; 102: 1534–9

    Article  PubMed  CAS  Google Scholar 

  14. Wagoner LE, Craft LL, Singh B, et al. Polymorphisms of the β 2-adrenergic receptor determine exercise capacity in patients with heart failure. Circ Res 2000; 86: 834–40

    Article  PubMed  CAS  Google Scholar 

  15. Small KM, Seman CA, Castator A, et al. False positive non-synonymous polymorphisms of G-protein coupled receptor genes. FEBS Lett 2002; 516: 253–6

    Article  PubMed  CAS  Google Scholar 

  16. Stephens JC, Schneider JA, Tanguay DA, et al. Haplotype variation and linkage disequilibrium in 313 human genes. Science 2001; 293: 489–93

    Article  PubMed  CAS  Google Scholar 

  17. Grantham R. Amino acid difference formula to help explain protein evolution. Science 1974; 185: 862–4

    Article  PubMed  CAS  Google Scholar 

  18. Palczewski K, Kumasaka T, Hori T, et al. Crystal structure of rhodopsin: a G protein-coupled receptor. Science 2000; 289: 739–45

    Article  PubMed  CAS  Google Scholar 

  19. Rothman KJ, Greenland S, editors. Modern epidemiology. Philadelphia (PA): Lippincott-Raven, 1998

    Google Scholar 

  20. Ludbrook J. Multiple comparison procedures updated. Clin Exp Pharmacol Physiol 1998; 25: 1032–7

    Article  PubMed  CAS  Google Scholar 

  21. Lee NH, Earle-Hughes J, Fraser CM. Agonist-mediated destabilization of m1 muscarinic acetylcholine receptor mRNA: elements involved in mRNA stability are localized in the 3′-untranslated region. J Biol Chem 1994; 269: 4291–8

    PubMed  CAS  Google Scholar 

  22. Lu ZL, Saldanha JW, Hulme EC. Seven-transmembrane receptors: crystals clarify. Trends Pharmacol Sci 2002; 23: 140–6

    Article  PubMed  CAS  Google Scholar 

  23. Hausdorff WP, Bouvier M, O’Dowd BF, et al. Phosphorylation sites on two domains of the β2-adrenergic receptor are involved in distinct pathways of receptor desensitization. J Biol Chem 1989; 264: 12657–65

    PubMed  CAS  Google Scholar 

  24. Eason MG, Moreira SP, Liggett SB. Four consecutive serines in the third intracellular loop are the sites for βARK-mediated phosphorylation and desensitization of the α2A-adrenergic receptor. J Biol Chem 1995; 270: 4681–8

    Article  PubMed  CAS  Google Scholar 

  25. Liang M, Eason MG, Theiss CT, et al. Phosphorylation of Ser360 in the third intracellular loop of the α2A-adrenoceptor during protein kinase C-mediated desensitization. Eur J Pharmacol 2002; 437: 41–6

    Article  PubMed  CAS  Google Scholar 

  26. Haga K, Kameyama K, Haga T, et al. Phosphorylation of human m1 muscarinic acetylcholine receptors by G protein-coupled receptor kinase 2 and protein kinase C. J Biol Chem 1996; 271: 2776–82

    Article  PubMed  CAS  Google Scholar 

  27. Gilchrist A, Li A, Hamm HE. Design and use of C-terminal minigene vectors for studying role of heterotrimeric G proteins. Methods Enzymol 2002; 344: 58–69

    Article  PubMed  CAS  Google Scholar 

  28. Mundell SJ, Benovic JL, Kelly E. A dominant negative mutant of the G protein-coupled receptor kinase 2 selectively attenuates adenosine A2 receptor desensitization. Mol Pharmacol 1997; 51: 991–8

    PubMed  CAS  Google Scholar 

  29. Judson R, Stephens JC, Windemuth A. The predictive power of haplotypes in clinical response. Pharmacogenomics 2000; 1: 1–12

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Stephen B. Liggett.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Small, K.M., Tanguay, D.A., Nandabalan, K. et al. Gene and Protein Domain-Specific Patterns of Genetic Variability Within the G-Protein Coupled Receptor Superfamily. Am J Pharmacogenomics 3, 65–71 (2003). https://doi.org/10.2165/00129785-200303010-00008

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.2165/00129785-200303010-00008

Keywords

Navigation