Polygenic loading for major depression is associated with specific medical comorbidity

Translational Psychiatry

Volumn 7, Issue 9, 2017, Pages

  McCoy, T H ^a   Castro, V M ^a,b   Snapper, L ^a   Hart, K ^a   Januzzi, J L ^a   Huffman, J C ^a   Perlis, R H ^a  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b PARTNERS HEALTHCARE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ANXIETY DISORDER; ARTICLE; BIOBANK; COMORBIDITY; ELECTRONIC HEALTH RECORD; FEMALE; FOLLOW UP; GENE LOCUS; GENETIC ASSOCIATION; GENETIC RISK; GENOTYPE; HEART FAILURE; HEART MUSCLE ISCHEMIA; HUMAN; MAJOR DEPRESSION; MALE; MOOD DISORDER; AGED; EUROPE; GENETIC PREDISPOSITION; GENETICS; MIDDLE AGED; MULTIFACTORIAL INHERITANCE; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; ANXIETY DISORDERS; DEPRESSIVE DISORDER, MAJOR; EUROPE; FEMALE; GENETIC PREDISPOSITION TO DISEASE; HEART FAILURE; HUMANS; MALE; MIDDLE AGED; MOOD DISORDERS; MULTIFACTORIAL INHERITANCE; MYOCARDIAL ISCHEMIA;

EID: 85041110378     PISSN: None     EISSN: 21583188     Source Type: Journal    
DOI: 10.1038/tp.2017.201     Document Type: Article

References (47)

1. Whooley MA, de Jonge P, Vittinghoff E, Otte C, Moos R, Carney RM et al. Depressive symptoms, health behaviors, and risk of cardiovascular events in patients with coronary heart disease. JAMA 2008; 300: 2379-2388.
2. Whooley MA. Depression and cardiovascular disease: healing the broken-hearted. JAMA 2006; 295: 2874-2881.
3. Ducat L, Philipson LH, Anderson BJ. The mental health comorbidities of diabetes. JAMA 2014; 312: 691-692.
4. Golden SH, Lazo M, Carnethon M, Bertoni AG, Schreiner PJ, Diez Roux AV et al. Examining a bidirectional association between depressive symptoms and diabetes. JAMA 2008; 299: 2751-2759.
5. Cohen BE, Martires KJ, Ho RS. Psoriasis and the risk of depression in the US population: National Health and Nutrition Examination Survey 2009-2012. JAMA Dermatol 2016; 152: 73-79.
6. Girardi P, Pompili M, Innamorati M, Mancini M, Serafini G, Mazzarini L et al. Duloxetine in acute major depression: review of comparisons to placebo and standard antidepressants using dissimilar methods. Hum Psychopharmacol 2009; 24: 177-190.
7. Blume J, Douglas SD, Evans DL. Immune suppression and immune activation in depression. Brain Behav Immun 2011; 25: 221-229.
8. Penninx BW. Depression and cardiovascular disease: epidemiological evidence on their linking mechanisms. Neurosci Biobehav Rev 2017; 74(Part B): 277-286.
9. Tang P-L, Wang H-H, Chou F-H. A systematic review and meta-analysis of demoralization and depression in patients with cancer. Psychosomatics 2015; 56: 634-643.
10. Cheng J, Zhang J, Lu C, Wang L. Using optogenetics to translate the "inflammatory dialogue" between heart and brain in the context of stress. Neurosci Bull 2012; 28: 435-448.
11. van Hecke O, Hocking LJ, Torrance N, Campbell A, Padmanabhan S, Porteous DJ et al. Chronic pain, depression and cardiovascular disease linked through a shared genetic predisposition: Analysis of a family-based cohort and twin study. PLoS One 2017; 12: e0170653.
12. Scherrer JF, Xian H, Bucholz KK, Eisen SA, Lyons MJ, Goldberg J et al. A twin study of depression symptoms, hypertension, and heart disease in middle-aged men. Psychosom Med 2003; 65: 548-557.
13. Kendler KS, Gardner CO, Fiske A, Gatz M. Major depression and coronary artery disease in the swedish twin registry: Phenotypic, genetic, and environmental sources of comorbidity. Arch Gen Psychiatry 2009; 66: 857-863.
14. Smith IG, Parker G, Rourke P, Cvejic E, Vollmer-Conna U. Acute coronary syndrome and depression: A review of shared pathophysiological pathways. Aust N Z J Psychiatry 2015; 49: 994-1005.
15. Hyde CL, Nagle MW, Tian C, Chen X, Paciga SA, Wendland JR et al. Identification of 15 genetic loci associated with risk of major depression in individuals of European descent. Nat Genet 2016; 48: 1031-1036.
16. Antony A, Tang YS, Khan RA, Biju MP, Xiao X, Li QJ et al. Translational upregulation of folate receptors is mediated by homocysteine via RNA-heterogeneous nuclear ribonucleoprotein E1 interactions. J Clin Invest 2004; 113: 285-301.
17. Blei DM, Ng AY, Jordan MI. Latent dirichlet allocation. J Machine Learn Res 2003; 3: 993-1022.
18. Blei DM. Surveying a suite of algorithms that offer a solution to managing large document archives. Commun ACM 2012; 55: 77-84.
19. Denny JC, Ritchie MD, Basford MA, Pulley JM, Bastarache L, Brown-Gentry K et al. PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations. Bioinformatics 2010; 26: 1205-1210.
20. Arun R, Suresh V, Veni Madhavan C, Narasimha Murthy M. On finding the natural number of topics with latent dirichlet allocation: Some observations. In: Advance in Knowledge Discovery and Data Mining, Hyderabad, India, 2010, pp 391-402.
21. Cao J, Xia T, Li J, Zhang Y, Tang S. A density-based method for adaptive LDA model selection. Neurocomputing 2009; 72: 1775-1781.
22. Deveaud R, SanJuan E, Bellot P. Accurate and effective latent concept modeling for ad hoc information retrieval. Document numérique 2014; 17: 61-84.
23. Griffiths TL, Steyvers M. Finding scientific topics. Proc Natl Acad Sci USA 2004; 101 (suppl 1): 5228-5235.
24. Rehurek R, Sojka P. Software framework for topic modelling with large corpora. In: Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks. Citeseer: Valletta, Malta, 2010, pp 45-50.
25. Hoffman M, Blei D, Bach F. Online learning for latent dirichlet allocation. In: Advances in Neural Information Processing Systems, 2010, pp 856-864.
26. Henn BM, Hon L, Macpherson JM, Eriksson N, Saxonov S, Pe'er I et al. Cryptic distant relatives are common in both isolated and cosmopolitan genetic samples. PLoS ONE 2012; 7: e34267.
27. Fuchsberger C, Abecasis GR, Hinds DA. Minimac2: faster genotype imputation. Bioinformatics 2015; 31: 782-784.
28. Fuchsberger C, Forer L, Schoenherr S, Das S, Abecasis G. Michigan Imputation Server. Available at https://imputationserver.sph.umich.edu/index.html#!pages/home (accessed on 21 December 2016).
29. Minimac3. Center for statistical genetics. Available at http://genome.sph.umich.edu/wiki/Minimac3 (accessed on 21 Deecember 2016).
30. Delaneau O, Marchini J, Zagury J-F. A linear complexity phasing method for thousands of genomes. Nature methods 2012; 9: 179-181.
31. Chang CC, Chow CC, Tellier LC, Vattikuti S, Purcell SM, Lee JJ. Secondgeneration PLINK: rising to the challenge of larger and richer datasets. Giga- Science 2015; 4: 7.
32. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007; 81: 559-575.
33. Sankoh AJ, Huque MF, Dubey SD. Some comments on frequently used multiple endpoint adjustment methods in clinical trials. Stat Med 1997; 16: 2529-2542.
34. Perneger TV. What's wrong with Bonferroni adjustments. BMJ 1998; 316: 1236-1238.
35. Angermann CE, Gelbrich G, Störk S, Gunold H, Edelmann F, Wachter R et al. Effect of escitalopram on All-cause mortality and hospitalization in patients with heart failure and depression: The MOOD-HF randomized clinical trial. JAMA 2016; 315: 2683.
36. Angermann C, Deckert J, Ertl G. Escitalopram and outcomes among patients with depression and heart failure-reply. JAMA 2016; 316: 1494.
37. Ströhle A, Rieckmann N. Escitalopram and outcomes among patients with depression and heart failure. JAMA 2016; 316: 1494.
38. Carney RM, Rich MW, Freedland KE, Saini J, Simeone C, Clark K. Major depressive disorder predicts cardiac events in patients with coronary artery disease. Psychosom Med 1988; 50: 627-633.
39. Van Melle JP, De Jonge P, Spijkerman TA, Tijssen JG, Ormel J, Van Veldhuisen DJ et al. Prognostic association of depression following myocardial infarction with mortality and cardiovascular events: a meta-analysis. Psychosom Med 2004; 66: 814-822.
40. Lespérance F, Frasure-Smith N, Talajic M. Major depression before and after myocardial infarction: its nature and consequences. Psychosom Med 1996; 58: 99-110.
41. Rumsfeld JS, Jones PG, Whooley MA, Sullivan MD, Pitt B, Weintraub WS et al. Depression predicts mortality and hospitalization in patients with myocardial infarction complicated by heart failure. Am Heart J 2005; 150: 961-967.
42. Williams M. Platelets and depression in cardiovascular disease: a brief review of the current literature. World J Psychiatr 2012; 2: 114-123.
43. Can MM, Guler G, Guler E, Ozveren O, Turan B, DiNicolantinio JJ et al. Enhanced platelet reactivity in pediatric depression: an observational study. Blood Coagul Fibrinolysis 2015; 26: 731-735.
44. Rozanski A, Blumenthal JA, Kaplan J. Impact of psychological factors on the pathogenesis of cardiovascular disease and implications for therapy. Circulation 1999; 99: 2192-2217.
45. Hemingway H, Marmot M. Evidence based cardiology-Psychosocial factors in the aetiology and prognosis of coronary heart disease: systematic review of prospective cohort studies. Bmj 1999; 318: 1460-1467.
46. Lett HS, Blumenthal JA, Babyak MA, Catellier DJ, Carney RM, Berkman LF et al. Dimensions of social support and depression in patients at increased psychosocial risk recovering from myocardial infarction. Int J Behav Med 2009; 16: 248-258.
47. LDAvis: A method for visualizing and interpreting topics. Workshop on Interactive Language Learning, Visualizaiton, and Interfaces, Association for Computational Linguistics, Baltimore, Maryland, USA, 2014.