Update on Geneqol Activities

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Update on Geneqol Activities

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Supplementary Information 2: References to Tables 1-7

REFERENCES

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8. Sloan JA, Shi Q, Lee A, et al.: Relationship between genetic markers and quality of life (QOL) in stage III colon cancer (CC) patients (pts) prior to adjuvant treatment. J Clin Oncol 30:3617, 2012 patient sample; candidate gene study

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15. Kerr JR, Burke B, Petty R, et al.: Seven genomic subtypes of chronic fatigue syndrome/myalgic encephalomyelitis: a detailed analysis of gene networks and clinical phenotypes. J Clin Pathol 61:730-739, 2008 patient sample + healthy individuals; candidate gene study

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17. Rausch SM, Clark MM, Patten C, et al.: Relationship between cytokine gene single nucleotide polymorphisms and symptom burden and quality of life in lung cancer survivors. Cancer 116:4103-4113, 2010 patient sample; candidate gene study

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20. Aouizerat BE, Dodd M, Lee K, et al.: Preliminary evidence of a genetic association between tumor necrosis factor alpha and the severity of sleep disturbance and morning fatigue. Biol Res Nurs 11:27-41, 2009 patient sample + healthy individuals; candidate gene study

21. Aspler AL, Bolshin C, Vernon SD, et al.: Evidence of inflammatory immune signaling in chronic fatigue syndrome: A pilot study of gene expression in peripheral blood. Behav Brain Funct 4:44, 2008 population-based; candidate gene study

22. Wang XS, Williams LA, Krishnan S, et al.: Serum sTNF-R1, IL-6, and the development of fatigue in patients with gastrointestinal cancer undergoing chemoradiation therapy. Brain Behav Immun 26:699-705, 2012 patient sample

23. Saligan LN, Kim HS: A systematic review of the association between immunogenomic markers and cancer-related fatigue. Brain Behav Immun 26:830-848, 2012 review

24. Bower JE, Ganz PA, Irwin MR, et al.: Cytokine genetic variations and fatigue among patients with breast cancer. J Clin Oncol 31:1656-1661, 2013 population-based; candidate gene study

25. Schubert C, Hong S, Natarajan L, et al.: The association between fatigue and inflammatory marker levels in cancer patients: a quantitative review. Brain Behav Immun 21:413-427, 2007 review

26. Piraino B, Vollmer-Conna U, Lloyd AR: Genetic associations of fatigue and other symptom domains of the acute sickness response to infection. Brain Behav Immun 26:552-558, 2012 patient sample; candidate gene study

27. Schoormans D, Radonic T, de WP, et al.: Mental quality of life is related to a cytokine genetic pathway. PLoS One 7:e45126, 2012 3 patient sample; genome-wide gene expression study (skin biopsies and peripheral blood)

28. Rich TA: Symptom clusters in cancer patients and their relation to EGFR ligand modulation of the circadian axis. J Support Oncol 5:167-174, 2007 review

29. Bower JE, Ganz PA, Aziz N: Altered cortisol response to psychologic stress in breast cancer survivors with persistent fatigue. Psychosom Med 67:277-280, 2005 patient sample; biomolecular marker (saliva)

30. Posener JA, Schildkraut JJ, Samson JA, et al.: Diurnal variation of plasma cortisol and homovanillic acid in healthy subjects. Psychoneuroendocrinology 21:33-38, 1996 healthy individuals; biomolecular marker

31. Thornton LM, Andersen BL, Blakely WP: The pain, depression, and fatigue symptom cluster in advanced breast cancer: covariation with the hypothalamic-pituitary-adrenal axis and the sympathetic nervous system. Health Psychol 29:333-337, 2010 patient sample; biomolecular marker

32. von Schantz M: Phenotypic effects of genetic variability in human clock genes on circadian and sleep parameters. J Genet 87:513-519, 2008 review

33. Piggins HD: Human clock genes. Ann Med 34:394-400, 2002 review

34. Viola AU, Archer SN, James LM, et al.: PER3 polymorphism predicts sleep structure and waking performance. Curr Biol 17:613-618, 2007 healthy individuals; candidate gene study

35. Antypa N, Mandelli L, Nearchou FA, et al.: The 3111T/C polymorphism interacts with stressful life events to influence patterns of sleep in females. Chronobiol Int 29:891-897, 2012 patient sample; candidate gene study (mouthwash sample)

36. Utge SJ, Soronen P, Loukola A, et al.: Systematic analysis of circadian genes in a population- based sample reveals association of TIMELESS with depression and sleep disturbance. PLoS One 5:e9259, 2010 population-based; candidate gene study; replication with independent sample

37. Ryan JL, Carroll JK, Ryan EP, et al.: Mechanisms of cancer-related fatigue. Oncologist 12 Suppl 1:22-34, 2007 review

38. Agteresch HJ, Dagnelie PC, van der Gaast A, et al.: Randomized clinical trial of adenosine 5'- triphosphate in patients with advanced non-small-cell lung cancer. J Natl Cancer Inst 92:321- 328, 2000 patient sample; RCT; infusion of ATP

39. Seruga B, Zhang H, Bernstein LJ, et al.: Cytokines and their relationship to the symptoms and outcome of cancer. Nat Rev Cancer 8:887-899, 2008 review

40. Shi Q, Cleeland CS, Klepstad P, et al.: Biological pathways and genetic variables involved in pain. Qual Life Res 19:1407-1417, 2010 review

41. Fernandez-de-Las-Penas C, Fernandez-Lao C, Cantarero-Villanueva I, et al.: Catechol-O- methyltransferase genotype (Val158met) modulates cancer-related fatigue and pain sensitivity in breast cancer survivors. Breast Cancer Res Treat 133:405-412, 2012 patient sample; candidate gene study (saliva) 4

42. Jensen KB, Lonsdorf TB, Schalling M, et al.: Increased sensitivity to thermal pain following a single opiate dose is influenced by the COMT val(158)met polymorphism. PLoS One 4:e6016, 2009 healthy individuals; candidate gene study

43. Diatchenko L, Slade GD, Nackley AG, et al.: Genetic basis for individual variations in pain perception and the development of a chronic pain condition. Hum Mol Genet 14:135-143, 2005 healthy individuals; candidate gene study

44. Hagen K, Pettersen E, Stovner LJ, et al.: The association between headache and Val158Met polymorphism in the catechol-O-methyltransferase gene: the HUNT Study. J Headache Pain 7:70-74, 2006 population-based; candidate gene study

45. Vargas-Alarcon G, Fragoso JM, Cruz-Robles D, et al.: Catechol-O-methyltransferase gene haplotypes in Mexican and Spanish patients with fibromyalgia. Arthritis Res Ther 9:R110, 2007 patient sample + matched healthy individuals; candidate gene study

46. Meloto CB, Serrano PO, Ribeiro-DaSilva MC, et al.: Genomics and the new perspectives for temporomandibular disorders. Arch Oral Biol 56:1181-1191, 2011 review

47. Fijal B, Perlis RH, Heinloth AN, et al.: The association of single nucleotide polymorphisms in the catechol-O-methyltransferase gene and pain scores in female patients with major depressive disorder. J Pain 11:910-5, 915, 2010 patient sample; candidate gene study

48. van Meurs JB, Uitterlinden AG, Stolk L, et al.: A functional polymorphism in the catechol-O- methyltransferase gene is associated with osteoarthritis-related pain. Arthritis Rheum 60:628- 629, 2009 population-based; candidate gene study

49. Holliday KL, Nicholl BI, Macfarlane GJ, et al.: Genetic variation in the hypothalamic-pituitary- adrenal stress axis influences susceptibility to musculoskeletal pain: results from the EPIFUND study. Ann Rheum Dis 69:556-560, 2010 population-based; candidate gene (buccal swab)

50. Finan PH, Zautra AJ, Davis MC, et al.: Genetic influences on the dynamics of pain and affect in fibromyalgia. Health Psychol 29:134-142, 2010 patient sample, candidate gene study (buccal swab)

51. Herken H, Erdal E, Mutlu N, et al.: Possible association of temporomandibular joint pain and dysfunction with a polymorphism in the serotonin transporter gene. Am J Orthod Dentofacial Orthop 120:308-313, 2001 patient sample + healthy individuals; candidate gene study

52. Kim H, Lee H, Rowan J, et al.: Genetic polymorphisms in monoamine neurotransmitter systems show only weak association with acute post-surgical pain in humans. Mol Pain 2:24, 2006 patient sample; candidate gene study

53. Ruano G, Thompson PD, Windemuth A, et al.: Physiogenomic association of statin-related myalgia to serotonin receptors. Muscle Nerve 36:329-335, 2007 patient sample; candidate gene study

54. Lindstedt F, Lonsdorf TB, Schalling M, et al.: Perception of thermal pain and the thermal grill illusion is associated with polymorphisms in the serotonin transporter gene. PLoS One 6:e17752, 2011 5 healthy individuals; candidate gene study (whole blood or saliva)

55. Ortega-Hernandez OD, Cuccia M, Bozzini S, et al.: Autoantibodies, polymorphisms in the serotonin pathway, and human leukocyte antigen class II alleles in chronic fatigue syndrome: are they associated with age at onset and specific symptoms? Ann N Y Acad Sci 1173:589- 599, 2009 patient sample; candidate gene study

56. Lindstedt F, Karshikoff B, Schalling M, et al.: Serotonin-1A receptor polymorphism (rs6295) associated with thermal pain perception. PLoS One 7:e43221, 2012 healthy individuals; candidate gene study

57. Combadiere C, Godin O, Vidal C, et al.: Common CX3CR1 alleles are associated with a reduced risk of headaches. Headache 48:1061-1066, 2008 population-based; candidate gene study

58. Shabalina SA, Zaykin DV, Gris P, et al.: Expansion of the human mu-opioid receptor gene architecture: novel functional variants. Hum Mol Genet 18:1037-1051, 2009 healthy individuals; candidate gene study

59. Dabby R, Sadeh M, Gilad R, et al.: Chronic non-paroxysmal neuropathic pain - Novel phenotype of mutation in the sodium channel SCN9A gene. J Neurol Sci 301:90-92, 2011 patient sample; candidate gene study

60. Reimann F, Cox JJ, Belfer I, et al.: Pain perception is altered by a nucleotide polymorphism in SCN9A. Proc Natl Acad Sci U S A 107:5148-5153, 2010 patient sample; candidate gene study; replication with external cohort

61. Guo TM, Liu M, Zhang YG, et al.: Association between Caspase-9 promoter region polymorphisms and discogenic low back pain. Connect Tissue Res 52:133-138, 2011 patient sample + matched healthy individuals; candidate gene study

62. Loggia ML, Bushnell MC, Tetreault M, et al.: Carriers of recessive WNK1/HSN2 mutations for hereditary sensory and autonomic neuropathy type 2 (HSAN2) are more sensitive to thermal stimuli. J Neurosci 29:2162-2166, 2009 patient sample + healthy individuals; candidate gene study

63. Ingle JN, Schaid DJ, Goss PE, et al.: Genome-wide associations and functional genomic studies of musculoskeletal adverse events in women receiving aromatase inhibitors. J Clin Oncol 28:4674-4682, 2010 patient sample; GWAS

64. Lettre G, Sankaran VG, Bezerra MA, et al.: DNA polymorphisms at the BCL11A, HBS1L-MYB, and beta-globin loci associate with fetal hemoglobin levels and pain crises in sickle cell disease. Proc Natl Acad Sci U S A 105:11869-11874, 2008 patient sample; candidate gene study; replication with external cohort

65. Glueck CJ, McMahon RE, Bouquot JE, et al.: T-786C polymorphism of the endothelial nitric oxide synthase gene and neuralgia-inducing cavitational osteonecrosis of the jaws. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 109:548-553, 2010 patient sample + matched healthy individuals; candidate gene study

66. Presciuttini S, Curcio M, Chillemi R, et al.: Promoter polymorphisms of the NOS3 gene are associated with hypnotizability-dependent vascular response to nociceptive stimulation. Neurosci Lett 467:252-255, 2009 healthy individuals; candidate gene study

67. Doehring A, Antoniades C, Channon KM, et al.: Clinical genetics of functionally mild non- coding GTP cyclohydrolase 1 (GCH1) polymorphisms modulating pain and cardiovascular risk. Mutat Res 659:195-201, 2008 6 review

68. Peters MJ, Broer L, Willemen HL, et al.: Genome-wide association study meta-analysis of chronic widespread pain: evidence for involvement of the 5p15.2 region. Ann Rheum Dis 72:427-436, 2013 population-based; GWAS; meta-analyses; replication with external cohorts

69. Rakvag TT, Klepstad P, Baar C, et al.: The Val158Met polymorphism of the human catechol- O-methyltransferase (COMT) gene may influence morphine requirements in cancer pain patients. Pain 116:73-78, 2005 patient sample; candidate gene study

70. Rakvag TT, Ross JR, Sato H, et al.: Genetic variation in the catechol-O-methyltransferase (COMT) gene and morphine requirements in cancer patients with pain. Mol Pain 4:64, 2008 patient sample; candidate gene study

71. Ross JR, Riley J, Taegetmeyer AB, et al.: Genetic variation and response to morphine in cancer patients: catechol-O-methyltransferase and multidrug resistance-1 gene polymorphisms are associated with central side effects. Cancer 112:1390-1403, 2008 patient sample; candidate gene study

72. Nishizawa D, Fukuda K, Kasai S, et al.: Genome-wide association study identifies a potent locus associated with human opioid sensitivity. Mol Psychiatry, 2012 healthy individuals; GWAS; replication analyses with external cohorts

73. Kosek E, Jensen KB, Lonsdorf TB, et al.: Genetic variation in the serotonin transporter gene (5-HTTLPR, rs25531) influences the analgesic response to the short acting opioid Remifentanil in humans. Mol Pain 5:37, 2009 healthy individuals; candidate gene study

74. Reyes-Gibby CC, El OB, Spitz MR, et al.: The influence of tumor necrosis factor-alpha -308 G/A and IL-6 -174 G/C on pain and analgesia response in lung cancer patients receiving supportive care. Cancer Epidemiol Biomarkers Prev 17:3262-3267, 2008 patient sample; candidate gene study

75. Bessler H, Shavit Y, Mayburd E, et al.: Postoperative pain, morphine consumption, and genetic polymorphism of IL-1beta and IL-1 receptor antagonist. Neurosci Lett 404:154-158, 2006 patient sample; candidate gene study

76. Chou WY, Wang CH, Liu PH, et al.: Human opioid receptor A118G polymorphism affects intravenous patient-controlled analgesia morphine consumption after total abdominal hysterectomy. Anesthesiology 105:334-337, 2006 patient sample; candidate gene study

77. Klepstad P, Rakvag TT, Kaasa S, et al.: The 118 A > G polymorphism in the human mu-opioid receptor gene may increase morphine requirements in patients with pain caused by malignant disease. Acta Anaesthesiol Scand 48:1232-1239, 2004 patient sample; candidate gene study

78. Landau R, Kern C, Columb MO, et al.: Genetic variability of the mu-opioid receptor influences intrathecal fentanyl analgesia requirements in laboring women. Pain 139:5-14, 2008 patient sample; candidate gene study

79. Sia AT, Lim Y, Lim EC, et al.: A118G single nucleotide polymorphism of human mu-opioid receptor gene influences pain perception and patient-controlled intravenous morphine consumption after intrathecal morphine for postcesarean analgesia. Anesthesiology 109:520- 526, 2008 patient sample; candidate gene study 7

80. Oertel BG, Kettner M, Scholich K, et al.: A common human micro-opioid receptor genetic variant diminishes the receptor signaling efficacy in brain regions processing the sensory information of pain. J Biol Chem 284:6530-6535, 2009 healthy individuals (autopsy); candidate gene study

81. Zhang W, Chang YZ, Kan QC, et al.: CYP3A4*1G genetic polymorphism influences CYP3A activity and response to fentanyl in Chinese gynecologic patients. Eur J Clin Pharmacol 66:61- 66, 2010 patient sample; candidate gene study

82. Galvan A, Skorpen F, Klepstad P, et al.: Multiple loci modulate opioid therapy response for cancer pain. Clin Cancer Res 17:4581-4587, 2011 clinical sample; GWAS

83. Campa D, Gioia A, Tomei A, et al.: Association of ABCB1/MDR1 and OPRM1 gene polymorphisms with morphine pain relief. Clin Pharmacol Ther 83:559-566, 2008 patient sample; candidate gene study

84. Coller JK, Barratt DT, Dahlen K, et al.: ABCB1 genetic variability and methadone dosage requirements in opioid-dependent individuals. Clin Pharmacol Ther 80:682-690, 2006 patient sample; candidate gene study

85. Crettol S, Deglon JJ, Besson J, et al.: ABCB1 and cytochrome P450 genotypes and phenotypes: influence on methadone plasma levels and response to treatment. Clin Pharmacol Ther 80:668-681, 2006 patient sample; candidate gene study

86. Klepstad P, Dale O, Skorpen F, et al.: Genetic variability and clinical efficacy of morphine. Acta Anaesthesiol Scand 49:902-908, 2005 review

87. Park HJ, Shinn HK, Ryu SH, et al.: Genetic polymorphisms in the ABCB1 gene and the effects of fentanyl in Koreans. Clin Pharmacol Ther 81:539-546, 2007 patient sample; candidate gene study

88. Cai W, Chen B, Tao X, et al.: Correlation of genetic polymorphism of cytochrome P4502D6 with dextromethorphan oxidative metabolism in Chinese. Zhonghua Yi Xue Yi Chuan Xue Za Zhi 17:181-184, 2000 healthy individuals; candidate gene study

89. Darbari DS, van Schaik RH, Capparelli EV, et al.: UGT2B7 promoter variant -840G>A contributes to the variability in hepatic clearance of morphine in patients with sickle cell disease. Am J Hematol 83:200-202, 2008 patient sample; candidate gene study

90. Ferrari A, Coccia CP, Bertolini A, et al.: Methadone--metabolism, pharmacokinetics and interactions. Pharmacol Res 50:551-559, 2004 review

91. Paar WD, Poche S, Gerloff J, et al.: Polymorphic CYP2D6 mediates O-demethylation of the opioid analgesic tramadol. Eur J Clin Pharmacol 53:235-239, 1997 healthy individuals; biomolecular marker (urine)

92. Pedersen RS, Damkier P, Brosen K: Tramadol as a new probe for cytochrome P450 2D6 phenotyping: a population study. Clin Pharmacol Ther 77:458-467, 2005 healthy individuals; candidate gene study

93. Pilotto A, Seripa D, Franceschi M, et al.: Genetic susceptibility to nonsteroidal anti- inflammatory drug-related gastroduodenal bleeding: role of cytochrome P450 2C9 polymorphisms. Gastroenterology 133:465-471, 2007 8 patient sample; candidate gene study

94. Shiran MR, Lennard MS, Iqbal MZ, et al.: Contribution of the activities of CYP3A, CYP2D6, CYP1A2 and other potential covariates to the disposition of methadone in patients undergoing methadone maintenance treatment. Br J Clin Pharmacol 67:29-37, 2009 patient sample; biomolecular marker (saliva and plasma)

95. Stamer UM, Musshoff F, Kobilay M, et al.: Concentrations of tramadol and O- desmethyltramadol enantiomers in different CYP2D6 genotypes. Clin Pharmacol Ther 82:41- 47, 2007 patient sample; candidate gene study

96. Takashima T, Murase S, Iwasaki K, et al.: Evaluation of dextromethorphan metabolism using hepatocytes from CYP2D6 poor and extensive metabolizers. Drug Metab Pharmacokinet 20:177-182, 2005 in vitro human hepatocytes; candidate gene study

97. Wang G, Zhang H, He F, et al.: Effect of the CYP2D6*10 C188T polymorphism on postoperative tramadol analgesia in a Chinese population. Eur J Clin Pharmacol 62:927-931, 2006 patient sample; candidate gene study

98. Zhou SF: Polymorphism of human cytochrome P450 2D6 and its clinical significance: Part I. Clin Pharmacokinet 48:689-723, 2009 review

99. Reyes-Gibby CC, Spitz M, Wu X, et al.: Cytokine genes and pain severity in lung cancer: exploring the influence of TNF-alpha-308 G/A IL6-174G/C and IL8-251T/A. Cancer Epidemiol Biomarkers Prev 16:2745-2751, 2007 patient sample; candidate gene study

100. Guimaraes AL, Correia-Silva JF, Sa AR, et al.: Investigation of functional gene polymorphisms IL-1beta, IL-6, IL-10 and TNF-alpha in individuals with recurrent aphthous stomatitis. Arch Oral Biol 52:268-272, 2007 patient sample + healthy individuals; candidate gene study (buccal swab)

101. Oen K, Malleson PN, Cabral DA, et al.: Cytokine genotypes correlate with pain and radiologically defined joint damage in patients with juvenile rheumatoid arthritis. Rheumatology (Oxford) 44:1115-1121, 2005 patient sample; candidate gene study

102. Solovieva S, Leino-Arjas P, Saarela J, et al.: Possible association of interleukin 1 gene locus polymorphisms with low back pain. Pain 109:8-19, 2004 population-based; candidate gene study

103. Olsen MB, Jacobsen LM, Schistad EI, et al.: Pain intensity the first year after lumbar disc herniation is associated with the A118G polymorphism in the opioid receptor mu 1 gene: evidence of a sex and genotype interaction. J Neurosci 32:9831-9834, 2012 patient sample; candidate gene study

104. Swaab DF: Pain and addiction, in Aminoff MJ, Boller F, Swaab DF (eds): Handbook of Clinical Neurology, Vol. 80 (3rd Series Vol. 2), The Human Hypothalamus: Basic and Clinical Aspects, Part II. Amsterdam, Elsevier, 2004, pp 373-386 review

105. Sprangers MA, Bartels M, Veenhoven R, et al.: Which patient will feel down, which will be happy? The need to study the genetic disposition of emotional states. Qual Life Res 19:1429- 1437, 2010 review 9

106. Holmes AJ, Lee PH, Hollinshead MO, et al.: Individual differences in amygdala-medial prefrontal anatomy link negative affect, impaired social functioning, and polygenic depression risk. J Neurosci 32:18087-18100, 2012 healthy individuals; GWAS; saliva sample; MRI

107. Bochdanovits Z, Verhage M, Smit AB, et al.: Joint reanalysis of 29 correlated SNPs supports the role of PCLO/Piccolo as a causal risk factor for major depressive disorder. Mol Psychiatry 14:650-652, 2009 letter to Editor

108. Sullivan PF, de Geus EJ, Willemsen G, et al.: Genome-wide association for major depressive disorder: a possible role for the presynaptic protein piccolo. Mol Psychiatry 14:359-375, 2009 patient sample + healthy individuals; GWAS; replication with external cohort

109. Lopez-Leon S, Janssens AC, Gonzalez-Zuloeta Ladd AM, et al.: Meta-analyses of genetic studies on major depressive disorder. Mol Psychiatry 13:772-785, 2008 meta-analyses

110. Adkins DE, Daw JK, McClay JL, et al.: The influence of five monoamine genes on trajectories of depressive symptoms across adolescence and young adulthood. Dev Psychopathol 24:267-285, 2012 review

111. Kao CF, Fang YS, Zhao Z, et al.: Prioritization and evaluation of depression candidate genes by combining multidimensional data resources. PLoS One 6:e18696, 2011 review

112. Jia P, Kao CF, Kuo PH, et al.: A comprehensive network and pathway analysis of candidate genes in major depressive disorder. BMC Syst Biol 5 Suppl 3:S12, 2011 review

113. Wood JG, Joyce PR, Miller AL, et al.: A polymorphism in the dopamine beta-hydroxylase gene is associated with "paranoid ideation" in patients with major depression. Biol Psychiatry 51:365-369, 2002 patient sample; candidate gene study

114. Cubells JF, Zabetian CP: Human genetics of plasma dopamine beta-hydroxylase activity: applications to research in psychiatry and neurology. Psychopharmacology (Berl) 174:463- 476, 2004 review

115. Christiansen L, Tan Q, Iachina M, et al.: Candidate gene polymorphisms in the serotonergic pathway: influence on depression symptomatology in an elderly population. Biol Psychiatry 61:223-230, 2007 population-based; candidate gene study

116. Juhasz G, Dunham JS, McKie S, et al.: The CREB1-BDNF-NTRK2 pathway in depression: multiple gene-cognition-environment interactions. Biol Psychiatry 69:762-771, 2011 population-based; candidate gene study (buccal)

117. Dunlop BW, Nemeroff CB: The role of dopamine in the pathophysiology of depression. Arch Gen Psychiatry 64:327-337, 2007 review

118. Opmeer EM, Kortekaas R, Aleman A: Depression and the role of genes involved in dopamine metabolism and signalling. Prog Neurobiol 92:112-133, 2010 review 10

119. Lawford BR, Young R, Noble EP, et al.: The D2 dopamine receptor (DRD2) gene is associated with co-morbid depression, anxiety and social dysfunction in untreated veterans with post-traumatic stress disorder. Eur Psychiatry 21:180-185, 2006 patient sample; candidate gene study

120. Ruhe HG, Mason NS, Schene AH: Mood is indirectly related to serotonin, norepinephrine and dopamine levels in humans: a meta-analysis of monoamine depletion studies. Mol Psychiatry 12:331-359, 2007 meta-analyses

121. Galecki P, Galecka E, Maes M, et al.: The expression of genes encoding for COX-2, MPO, iNOS, and sPLA2-IIA in patients with recurrent depressive disorder. J Affect Disord 138:360- 366, 2012 patient sample; candidate gene study

122. Luciano M, Lopez LM, de Moor MH, et al.: Longevity candidate genes and their association with personality traits in the elderly. Am J Med Genet B Neuropsychiatr Genet 159B:192-200, 2012 population-based; candidtae gene study; replication with external cohorts

123. Shyn SI, Shi J, Kraft JB, et al.: Novel loci for major depression identified by genome-wide association study of Sequenced Treatment Alternatives to Relieve Depression and meta- analysis of three studies. Mol Psychiatry 16:202-215, 2011 patient sample + healthy individuals; GWAS

124. Strohmaier J, Amelang M, Hothorn LA, et al.: The psychiatric vulnerability gene CACNA1C and its sex-specific relationship with personality traits, resilience factors and depressive symptoms in the general population. Mol Psychiatry 18:607-613, 2013 population-based; candidate gene study; mouth wash

125. Pezawas L, Meyer-Lindenberg A, Drabant EM, et al.: 5-HTTLPR polymorphism impacts human cingulate-amygdala interactions: a genetic susceptibility mechanism for depression. Nat Neurosci 8:828-834, 2005 patient sample + healthy individuals; candidate gene study

126. Belmaker RH, Agam G: Major depressive disorder. N Engl J Med 358:55-68, 2008 review

127. Grabe HJ, Schwahn C, Mahler J, et al.: Moderation of adult depression by the serotonin transporter promoter variant (5-HTTLPR), childhood abuse and adult traumatic events in a general population sample. Am J Med Genet B Neuropsychiatr Genet 159B:298-309, 2012 population-based; candidate gene study

128. Munafo MR, Brown SM, Hariri AR: Serotonin transporter (5-HTTLPR) genotype and amygdala activation: a meta-analysis. Biol Psychiatry 63:852-857, 2008 meta-analyses

129. Muglia P, Tozzi F, Galwey NW, et al.: Genome-wide association study of recurrent major depressive disorder in two European case-control cohorts. Mol Psychiatry 15:589-601, 2010 patient sample + healthy individuals; GWAS

130. Tsai SJ, Yeh HL, Hong CJ, et al.: Association of CHRNA4 polymorphism with depression and loneliness in elderly males. Genes Brain Behav 11:230-234, 2012 healthy individuals; candidate gene study

131. Zhang K, Yang C, Xu Y, et al.: Genetic association of the interaction between the BDNF and GSK3B genes and major depressive disorder in a Chinese population. J Neural Transm 117:393-401, 2010 patient sample + healthy individuals; candidate gene study 11

132. Kunugi H, Hashimoto R, Yoshida M, et al.: A missense polymorphism (S205L) of the low- affinity neurotrophin receptor p75NTR gene is associated with depressive disorder and attempted suicide. Am J Med Genet B Neuropsychiatr Genet 129B:44-46, 2004 patient sample + healthy individuals; candidate gene study

133. Wong ML, Dong C, Maestre-Mesa J, et al.: Polymorphisms in inflammation-related genes are associated with susceptibility to major depression and antidepressant response. Mol Psychiatry 13:800-812, 2008 patient sample + healthy individuals; candidate gene study

134. Sureshkumar R, Bharath S, Jain S, et al.: ApoE4 and late onset depression in Indian population. J Affect Disord 136:244-248, 2012 patient sample + healthy individuals; candidate gene study

135. Julian LJ, Vella L, Frankel D, et al.: ApoE alleles, depression and positive affect in multiple sclerosis. Mult Scler 15:311-315, 2009 patient sample; candidate gene study

136. Simon NM, McNamara K, Chow CW, et al.: A detailed examination of cytokine abnormalities in Major Depressive Disorder. Eur Neuropsychopharmacol 18:230-233, 2008 patient sample + healthy individuals; candidate gene study

137. Uddin M, Koenen KC, Aiello AE, et al.: Epigenetic and inflammatory marker profiles associated with depression in a community-based epidemiologic sample. Psychol Med 41:997-1007, 2011 population-based; GWAS

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