#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Genes Contributing to Pain Sensitivity in the Normal Population: An Exome Sequencing Study


Sensitivity to pain varies considerably between individuals and is known to be heritable. Increased sensitivity to experimental pain is a risk factor for developing chronic pain, a common and debilitating but poorly understood symptom. To understand mechanisms underlying pain sensitivity and to search for rare gene variants (MAF<5%) influencing pain sensitivity, we explored the genetic variation in individuals' responses to experimental pain. Quantitative sensory testing to heat pain was performed in 2,500 volunteers from TwinsUK (TUK): exome sequencing to a depth of 70× was carried out on DNA from singletons at the high and low ends of the heat pain sensitivity distribution in two separate subsamples. Thus in TUK1, 101 pain-sensitive and 102 pain-insensitive were examined, while in TUK2 there were 114 and 96 individuals respectively. A combination of methods was used to test the association between rare variants and pain sensitivity, and the function of the genes identified was explored using network analysis. Using causal reasoning analysis on the genes with different patterns of SNVs by pain sensitivity status, we observed a significant enrichment of variants in genes of the angiotensin pathway (Bonferroni corrected p = 3.8×10−4). This pathway is already implicated in animal models and human studies of pain, supporting the notion that it may provide fruitful new targets in pain management. The approach of sequencing extreme exome variation in normal individuals has provided important insights into gene networks mediating pain sensitivity in humans and will be applicable to other common complex traits.


Vyšlo v časopise: Genes Contributing to Pain Sensitivity in the Normal Population: An Exome Sequencing Study. PLoS Genet 8(12): e32767. doi:10.1371/journal.pgen.1003095
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pgen.1003095

Souhrn

Sensitivity to pain varies considerably between individuals and is known to be heritable. Increased sensitivity to experimental pain is a risk factor for developing chronic pain, a common and debilitating but poorly understood symptom. To understand mechanisms underlying pain sensitivity and to search for rare gene variants (MAF<5%) influencing pain sensitivity, we explored the genetic variation in individuals' responses to experimental pain. Quantitative sensory testing to heat pain was performed in 2,500 volunteers from TwinsUK (TUK): exome sequencing to a depth of 70× was carried out on DNA from singletons at the high and low ends of the heat pain sensitivity distribution in two separate subsamples. Thus in TUK1, 101 pain-sensitive and 102 pain-insensitive were examined, while in TUK2 there were 114 and 96 individuals respectively. A combination of methods was used to test the association between rare variants and pain sensitivity, and the function of the genes identified was explored using network analysis. Using causal reasoning analysis on the genes with different patterns of SNVs by pain sensitivity status, we observed a significant enrichment of variants in genes of the angiotensin pathway (Bonferroni corrected p = 3.8×10−4). This pathway is already implicated in animal models and human studies of pain, supporting the notion that it may provide fruitful new targets in pain management. The approach of sequencing extreme exome variation in normal individuals has provided important insights into gene networks mediating pain sensitivity in humans and will be applicable to other common complex traits.


Zdroje

1. BreivikH, CollettB, VentafriddaV, CohenR, GallacherD (2006) Survey of chronic pain in Europe: prevalence, impact on daily life, and treatment. Eur J Pain 10: 287–333.

2. KatoK, SullivanPF, EvengardB, PedersenNL (2006) Importance of genetic influences on chronic widespread pain. Arthritis Rheum 54: 1682–1686.

3. NorburyTA, MacGregorAJ, UrwinJ, SpectorTD, McMahonSB (2007) Heritability of responses to painful stimuli in women: a classical twin study. Brain 130: 3041–3049.

4. Schmidt-WilckeT, ClauwDJ (2011) Fibromyalgia: from pathophysiology to therapy. NatRevRheumatol 7: 518–527.

5. MacefieldVG (2009) Developments in autonomic research: a review of the latest literature. ClinAutonRes 19: 193–196.

6. LaCroix-FralishML, AustinJS, ZhengFY, LevitinDJ, MogilJS (2011) Patterns of pain: meta-analysis of microarray studies of pain. Pain 152: 1888–1898.

7. YoungEE, LariviereWR, BelferI (2012) Genetic basis of pain variability: recent advances. J Med Genet 49: 1–9.

8. AasvangEK, GmaehleE, HansenJB, GmaehleB, FormanJL, et al. (2010) Predictive risk factors for persistent postherniotomy pain. Anesthesiology 112: 957–969.

9. WernerMU, DuunP, KehletH (2004) Prediction of postoperative pain by preoperative nociceptive responses to heat stimulation. Anesthesiology 100: 115–119; discussion 115A.

10. Huang daW, ShermanBT, LempickiRA (2009) Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 4: 44–57.

11. ChindelevitchL, LohPR, EnayetallahA, BergerB, ZiemekD (2012) Assessing statistical significance in causal graphs. BMC Bioinformatics 13: 35.

12. Morenilla-PalaoC, Planells-CasesR, Garcia-SanzN, Ferrer-MontielA (2004) Regulated exocytosis contributes to protein kinase C potentiation of vanilloid receptor activity. J Biol Chem 279: 25665–25672.

13. KahleJJ, GulbahceN, ShawCA, LimJ, HillDE, et al. (2011) Comparison of an expanded ataxia interactome with patient medical records reveals a relationship between macular degeneration and ataxia. Hum Mol Genet 20: 510–527.

14. HilairetS, FoordSM, MarshallFH, BouvierM (2001) Protein-protein interaction and not glycosylation determines the binding selectivity of heterodimers between the calcitonin receptor-like receptor and the receptor activity-modifying proteins. J Biol Chem 276: 29575–29581.

15. HallRA, PremontRT, ChowCW, BlitzerJT, PitcherJA, et al. (1998) The beta2-adrenergic receptor interacts with the Na+/H+-exchanger regulatory factor to control Na+/H+ exchange. Nature 392: 626–630.

16. GlynnePA, DarlingKE, PicotJ, EvansTJ (2002) Epithelial inducible nitric-oxide synthase is an apical EBP50-binding protein that directs vectorial nitric oxide output. J Biol Chem 277: 33132–33138.

17. Dall'EraMA, OudesA, MartinDB, LiuAY (2007) HSP27 and HSP70 interact with CD10 in C4-2 prostate cancer cells. Prostate 67: 714–721.

18. HuangP, SteplockD, WeinmanEJ, HallRA, DingZ, et al. (2004) kappa Opioid receptor interacts with Na(+)/H(+)-exchanger regulatory factor-1/Ezrin-radixin-moesin-binding phosphoprotein-50 (NHERF-1/EBP50) to stimulate Na(+)/H(+) exchange independent of G(i)/G(o) proteins. J Biol Chem 279: 25002–25009.

19. GeisserME, CaseyKL, BruckschCB, RibbensCM, AppletonBB, et al. (2003) Perception of noxious and innocuous heat stimulation among healthy women and women with fibromyalgia: association with mood, somatic focus, and catastrophizing. Pain 102: 243–250.

20. GeisserME, GlassJM, RajcevskaLD, ClauwDJ, WilliamsDA, et al. (2008) A psychophysical study of auditory and pressure sensitivity in patients with fibromyalgia and healthy controls. JPain 9: 417–422.

21. SingletonAB (2011) Exome sequencing: a transformative technology. Lancet Neurol 10: 942–946.

22. NgSB, NickersonDA, BamshadMJ, ShendureJ (2010) Massively parallel sequencing and rare disease. Hum Mol Genet 19: R119–124.

23. BamshadMJ, NgSB, BighamAW, TaborHK, EmondMJ, et al. (2011) Exome sequencing as a tool for Mendelian disease gene discovery. Nat Rev Genet 12: 745–755.

24. KlassenT, DavisC, GoldmanA, BurgessD, ChenT, et al. (2011) Exome sequencing of ion channel genes reveals complex profiles confounding personal risk assessment in epilepsy. Cell 145: 1036–1048.

25. de KoningPJ, KummerJA, BovenschenN (2009) Biology of granzyme M: a serine protease with unique features. Crit Rev Immunol 29: 307–315.

26. ChowdhuryD, LiebermanJ (2008) Death by a thousand cuts: granzyme pathways of programmed cell death. Annu Rev Immunol 26: 389–420.

27. TakPP, Spaeny-DekkingL, KraanMC, BreedveldFC, FroelichCJ, et al. (1999) The levels of soluble granzyme A and B are elevated in plasma and synovial fluid of patients with rheumatoid arthritis (RA). Clin Exp Immunol 116: 366–370.

28. YawalkarN, SchmidS, BraathenLR, PichlerWJ (2001) Perforin and granzyme B may contribute to skin inflammation in atopic dermatitis and psoriasis. Br J Dermatol 144: 1133–1139.

29. KochA, ZacharowskiK, BoehmO, StevensM, LipfertP, et al. (2007) Nitric oxide and pro-inflammatory cytokines correlate with pain intensity in chronic pain patients. Inflamm Res 56: 32–37.

30. ChindelevitchL, ZiemekD, EnayetallahA, RandhawaR, SiddersB, et al. (2012) Causal reasoning on biological networks: interpreting transcriptional changes. Bioinformatics 28: 1114–1121.

31. Marques-LopesJ, PintoM, PinhoD, MoratoM, PatinhaD, et al. (2009) Microinjection of angiotensin II in the caudal ventrolateral medulla induces hyperalgesia. Neuroscience 158: 1301–1310.

32. JaggiAS, SinghN (2011) Exploring the potential of telmisartan in chronic constriction injury-induced neuropathic pain in rats. Eur J Pharmacol 667: 215–221.

33. KalraJ, ChaturvediA, KalraS, ChaturvediH, DhasmanaDC (2008) Modulation of pain perception by ramipril and losartan in human volunteers. Indian J Physiol Pharmacol 52: 91–96.

34. GuastiL, ZanottaD, DiolisiA, GarganicoD, SimoniC, et al. (2002) Changes in pain perception during treatment with angiotensin converting enzyme-inhibitors and angiotensin II type 1 receptor blockade. J Hypertens 20: 485–491.

35. HuZW, KerbR, ShiXY, Wei-LaveryT, HoffmanBB (2002) Angiotensin II increases expression of cyclooxygenase-2: implications for the function of vascular smooth muscle cells. J Pharmacol Exp Ther 303: 563–573.

36. EnglandS, BevanS, DochertyRJ (1996) PGE2 modulates the tetrodotoxin-resistant sodium current in neonatal rat dorsal root ganglion neurones via the cyclic AMP-protein kinase A cascade. J Physiol 495(Pt 2): 429–440.

37. SpectorTD, WilliamsFM (2006) The UK Adult Twin Registry (TwinsUK). TwinResHumGenet 9: 899–906.

38. MetzkerML (2010) Sequencing technologies - the next generation. Nat Rev Genet 11: 31–46.

39. LiH, HandsakerB, WysokerA, FennellT, RuanJ, et al. (2009) The Sequence Alignment/Map format and SAMtools. Bioinformatics 25: 2078–2079.

40. DePristoMA, BanksE, PoplinR, GarimellaKV, MaguireJR, et al. (2011) A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet 43: 491–498.

41. ZegginiE, AsimitJL (2011) An evaluation of power to detect low-frequency variant associations using allele-matching tests that account for uncertainty. Pac Symp Biocomput 100–105.

42. HanF, PanW (2010) A data-adaptive sum test for disease association with multiple common or rare variants. Hum Hered 70: 42–54.

43. CohenJC, KissRS, PertsemlidisA, MarcelYL, McPhersonR, et al. (2004) Multiple rare alleles contribute to low plasma levels of HDL cholesterol. Science 305: 869–872.

44. LangoAH, EstradaK, LettreG, BerndtSI, WeedonMN, et al. (2010) Hundreds of variants clustered in genomic loci and biological pathways affect human height. Nature 467: 832–838.

45. PriceAL, KryukovGV, de BakkerPI, PurcellSM, StaplesJ, et al. (2010) Pooled association tests for rare variants in exon-resequencing studies. Am J Hum Genet 86: 832–838.

46. StarkC, BreitkreutzBJ, RegulyT, BoucherL, BreitkreutzA, et al. (2006) BioGRID: a general repository for interaction datasets. Nucleic Acids Res 34: D535–539.

Štítky
Genetika Reprodukčná medicína

Článok vyšiel v časopise

PLOS Genetics


2012 Číslo 12
Najčítanejšie tento týždeň
Najčítanejšie v tomto čísle
Kurzy

Zvýšte si kvalifikáciu online z pohodlia domova

Získaná hemofilie - Povědomí o nemoci a její diagnostika
nový kurz

Eozinofilní granulomatóza s polyangiitidou
Autori: doc. MUDr. Martina Doubková, Ph.D.

Všetky kurzy
Prihlásenie
Zabudnuté heslo

Zadajte e-mailovú adresu, s ktorou ste vytvárali účet. Budú Vám na ňu zasielané informácie k nastaveniu nového hesla.

Prihlásenie

Nemáte účet?  Registrujte sa

#ADS_BOTTOM_SCRIPTS#