Genetic and Environmental Risk for Chronic Pain and the Contribution of Risk Variants for Major Depressive Disorder: A Family-Based Mixed-Model Analysis

Andrew M.
McIntosh and colleagues investigate the genetic and environmental factors associated with chronic pain and and major depressive disorder.

Vyšlo v časopise: Genetic and Environmental Risk for Chronic Pain and the Contribution of Risk Variants for Major Depressive Disorder: A Family-Based Mixed-Model Analysis. PLoS Med 13(8): e32767. doi:10.1371/journal.pmed.1002090
Kategorie: Research Article
prolekare.web.journal.doi_sk: 10.1371/journal.pmed.1002090


Andrew M.
McIntosh and colleagues investigate the genetic and environmental factors associated with chronic pain and and major depressive disorder.


1. Nicholl BI, Mackay D, Cullen B, Martin DJ, Ul-Haq Z, Mair FS, et al. Chronic multisite pain in major depression and bipolar disorder: cross-sectional study of 149,611 participants in UK Biobank. BMC psychiatry. 2014;14:350. doi: 10.1186/s12888-014-0350-4 25490859

2. Global Burden of Disease Study C. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386(9995):743–800. doi: 10.1016/S0140-6736(15)60692-4 26063472; PubMed Central PMCID: PMCPMC4561509.

3. Diatchenko L, Nackley AG, Tchivileva IE, Shabalina SA, Maixner W. Genetic architecture of human pain perception. Trends Genet. 2007;23(12):605–13. doi: 10.1016/j.tig.2007.09.004 18023497.

4. Sullivan PF, Daly MJ, O'Donovan M. Genetic architectures of psychiatric disorders: the emerging picture and its implications. Nature reviews Genetics. 2012;13(8):537–51. doi: 10.1038/nrg3240 22777127

5. Hocking LJ, Generation S, Morris AD, Dominiczak AF, Porteous DJ, Smith BH. Heritability of chronic pain in 2195 extended families. European journal of pain (London, England). 2012;16(7):1053–63. doi: 10.1002/j.1532-2149.2011.00095.x

6. Junqueira DR, Ferreira ML, Refshauge K, Maher CG, Hopper JL, Hancock M, et al. Heritability and lifestyle factors in chronic low back pain: results of the Australian twin low back pain study (The AUTBACK study). European journal of pain (London, England). 2014;18(10):1410–8. doi: 10.1002/ejp.506

7. Williams FM, Spector TD, MacGregor AJ. Pain reporting at different body sites is explained by a single underlying genetic factor. Rheumatology (Oxford). 2010;49(9):1753–5. doi: 10.1093/rheumatology/keq170 20525736; PubMed Central PMCID: PMCPMC2919198.

8. Vehof J, Zavos HM, Lachance G, Hammond CJ, Williams FM. Shared genetic factors underlie chronic pain syndromes. Pain. 2014;155(8):1562–8. doi: 10.1016/j.pain.2014.05.002 24879916.

9. Mogil JS. Pain genetics: past, present and future. Trends in Genetics. 2012;28(6):258–66. doi: 22464640

10. Sullivan PF, Neale MC, Kendler KS. Genetic epidemiology of major depression: review and meta-analysis. The American journal of psychiatry. 2000;157(10):1552–62. 11007705.

11. Polderman TJ, Benyamin B, de Leeuw CA, Sullivan PF, van Bochoven A, Visscher PM, et al. Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nat Genet. 2015;47(7):702–9. doi: 10.1038/ng.3285 25985137.

12. Sullivan PF, Daly MJ, Ripke S, Lewis CM, Lin DY, Wray NR, et al. A mega-analysis of genome-wide association studies for major depressive disorder. Molecular Psychiatry. 2013;18(4):497–511. doi: 10.1038/mp.2012.21 WOS:000316568600016.

13. Lubke GH, Hottenga JJ, Walters R, Laurin C, de Geus EJ, Willemsen G, et al. Estimating the Genetic Variance of Major Depressive Disorder Due to All Single Nucleotide Polymorphisms. Biological Psychiatry. 2012. Epub 2012/04/24. doi: 10.1016/j.biopsych.2012.03.011 22520966; PubMed Central PMCID: PMC3404250.

14. Richardson R, Westley T, Gariépy G, Austin N, Nandi A. Neighborhood socioeconomic conditions and depression: a systematic review and meta-analysis. Soc Psychiatry Psychiatr Epidemiol. 2015. doi: 10.1007/s00127-015-1092-4

15. Morgan CL, Conway P, Currie CJ. The relationship between self-reported severe pain and measures of socio-economic disadvantage. European journal of pain (London, England). 2011;15(10):1107–11. doi: 10.1016/j.ejpain.2011.04.010

16. Goodson NJ, Smith BH, Hocking LJ, McGilchrist MM, Dominiczak AF, Morris A, et al. Cardiovascular risk factors associated with the metabolic syndrome are more prevalent in people reporting chronic pain: results from a cross-sectional general population study. Pain. 2013;154(9):1595–602. doi: 10.1016/j.pain.2013.04.043 23707277.

17. Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380(9836):37–43. doi: 10.1016/S0140-6736(12)60240-2 22579043.

18. Krein SL, Heisler M, Piette JD, Makki F, Kerr EA. The effect of chronic pain on diabetes patients' self-management. Diabetes care. 2005;28(1):65–70. 15616235.

19. Sudore RL, Karter AJ, Huang ES, Moffet HH, Laiteerapong N, Schenker Y, et al. Symptom burden of adults with type 2 diabetes across the disease course: diabetes & aging study. J Gen Intern Med. 2012;27(12):1674–81. doi: 10.1007/s11606-012-2132-3 22854982; PubMed Central PMCID: PMCPMC3509316.

20. Ligthart L, Gerrits MM, Boomsma DI, Penninx BW. Anxiety and depression are associated with migraine and pain in general: an investigation of the interrelationships. J Pain. 2013;14(4):363–70. doi: 10.1016/j.jpain.2012.12.006 23395476.

21. Ligthart L, Visscher CM, van Houtem CM, Geels LM, Vink JM, de Jongh A, et al. Comorbidity among multiple pain symptoms and anxious depression in a Dutch population sample. J Pain. 2014;15(9):945–55. doi: 10.1016/j.jpain.2014.06.007 24981129.

22. Burri A, Ogata S, Vehof J, Williams F. Chronic widespread pain: clinical comorbidities and psychological correlates. Pain. 2015;156(8):1458–64. doi: 10.1097/j.pain.0000000000000182 25851458.

23. Kato K, Sullivan PF, Evengard B, Pedersen NL. A population-based twin study of functional somatic syndromes. Psychol Med. 2009;39(3):497–505. doi: 10.1017/S0033291708003784 18578896; PubMed Central PMCID: PMCPMC3947533.

24. Smith BH, Campbell A, Linksted P, Fitzpatrick B, Jackson C, Kerr SM, et al. Cohort Profile: Generation Scotland: Scottish Family Health Study (GS:SFHS). The study, its participants and their potential for genetic research on health and illness. International journal of epidemiology. 2013;42(3):689–700. doi: 10.1093/ije/dys084 22786799

25. Smith BH, Campbell H, Blackwood D, Connell J, Connor M, Deary IJ, et al. Generation Scotland: the Scottish Family Health Study; a new resource for researching genes and heritability. BMC Med Genet. 2006;7:74. Epub 2006/10/04. 1471-2350-7-74 [pii] doi: 10.1186/1471-2350-7-74 17014726.

26. Hocking LJ, Smith BH, Jones GT, Reid DM, Strachan DP, Macfarlane GJ. Genetic variation in the beta2-adrenergic receptor but not catecholamine-O-methyltransferase predisposes to chronic pain: results from the 1958 British Birth Cohort Study. Pain. 2010;149(1):143–51. doi: 10.1016/j.pain.2010.01.023 20167428.

27. Pain IAftSo. Classification of chronic pain. Descriptions of chronic pain syndromes and definitions of pain terms. Prepared by the International Association for the Study of Pain, Subcommittee on Taxonomy. Pain Suppl. 1986;3:S1–226. 3461421.

28. Purves AM, Penny KI, Munro C, Smith BH, Grimshaw J, Wilson B, et al. Defining chronic pain for epidemiological research. assessing a subjective definition. 1998;10(3):139–47.

29. Von Korff M, Ormel J, Keefe FJ, Dworkin SF. Grading the severity of chronic pain. Pain. 1992;50(2):133–49. 1408309.

30. Smith BH, Penny KI, Purves AM, Munro C, Wilson B, Grimshaw J, et al. The Chronic Pain Grade questionnaire: validation and reliability in postal research. Pain. 1997;71(2):141–7. 9211475.

31. Fernandez-Pujals AM, Adams MJ, Thomson P, McKechanie AG, Blackwood DH, Smith BH, et al. Epidemiology and Heritability of Major Depressive Disorder, Stratified by Age of Onset, Sex, and Illness Course in Generation Scotland: Scottish Family Health Study (GS:SFHS). PLoS ONE. 2015;10(11):e0142197. doi: 10.1371/journal.pone.0142197 26571028; PubMed Central PMCID: PMCPMC4646689.

32. Allen NE, Sudlow C, Peakman T, Collins R, Biobank UK. UK biobank data: come and get it. Sci Transl Med. 2014;6(224):224ed4. doi: 10.1126/scitranslmed.3008601 24553384.

33. Smith DJ, Nicholl BI, Cullen B, Martin D, Ul-Haq Z, Evans J, et al. Prevalence and characteristics of probable major depression and bipolar disorder within UK biobank: cross-sectional study of 172,751 participants. PLoS ONE. 2013;8(11):e75362. doi: 10.1371/journal.pone.0075362 24282498; PubMed Central PMCID: PMCPMC3839907.

34. Hadfield J. D. MCMC methods for multi-response generalized linear mixed models: the MCMCglmm R package. Journal of Statistical Software. 2010; 33(2), 1–22.

35. Gilmour AR, Gogel BJ, Cullis BR, Thompson R. ASReml user guide release 3.0. VSN International Ltd. 2009.

36. Euesden J, Lewis CM, O'Reilly PF. PRSice: Polygenic Risk Score software. Bioinformatics. 2015;31(9):1466–8. doi: 10.1093/bioinformatics/btu848 25550326; PubMed Central PMCID: PMCPMC4410663.

37. Nakagawa S, Schielzeth H. A general and simple method for obtaining R2 from generalized linear mixed-effects models. Methods in Ecology and Evolution. 2013;4(2):133–42. doi: 10.1111/j.2041-210x.2012.00261.x

38. Ligthart L, Hottenga JJ, Lewis CM, Farmer AE, Craig IW, Breen G, et al. Genetic risk score analysis indicates migraine with and without comorbid depression are genetically different disorders. Hum Genet. 2014;133(2):173–86. doi: 10.1007/s00439-013-1370-8 24081561; PubMed Central PMCID: PMCPMC3947136.

39. Hocking LJ, Generation S, Morris AD, Dominiczak AF, Porteous DJ, Smith BH. Heritability of chronic pain in 2195 extended families. European journal of pain. 2012;16(7):1053–63. doi: 10.1002/j.1532-2149.2011.00095.x 22337623.

40. Swanson JM. The UK Biobank and selection bias. Lancet. 2012;380(9837):110. doi: 10.1016/S0140-6736(12)61179-9 22794246.

41. Spiegelhalter DJ, Best NG, Carlin BP, Van Der Linde A. Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 2002;64(4):583–639. doi: 10.1111/1467-9868.00353

Interné lekárstvo

Článok vyšiel v časopise

PLOS Medicine

2016 Číslo 8
Najčítanejšie tento týždeň
Najčítanejšie v tomto čísle

Zvýšte si kvalifikáciu online z pohodlia domova

Eozinofilní granulomatóza s polyangiitidou
nový kurz

Betablokátory a Ca antagonisté z jiného úhlu
Autori: prof. MUDr. Michal Vrablík, Ph.D., MUDr. Petr Janský

Autori: doc. MUDr. Petr Čáp, Ph.D.

Farmakoterapie akutní a chronické bolesti

Získaná hemofilie - Povědomí o nemoci a její diagnostika

Všetky kurzy
Zabudnuté heslo

Nemáte účet?  Registrujte sa

Zabudnuté heslo

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


Nemáte účet?  Registrujte sa