Generic placeholder image

Current Neuropharmacology

Editor-in-Chief

ISSN (Print): 1570-159X
ISSN (Online): 1875-6190

Research Article

A Bibliometric and Visual Analysis of Single Nucleotide Polymorphism Studies in Depression

Author(s): Zi Zhang, Ye Yang, Wan Kong, Shanqing Huang, Yaqian Tan, Shanshan Huang, Ming Zhang, Haoyang Lu, Yuhua Li, Xiaolin Li, Shujing Liu, Yuguan Wen* and Dewei Shang*

Volume 22, Issue 2, 2024

Published on: 15 August, 2023

Page: [302 - 322] Pages: 21

DOI: 10.2174/1570159X21666230815125430

Price: $65

conference banner
Abstract

Background: Genetic polymorphism has been proven to have an important association with depression, which can influence the risk of developing depression, the efficacy of medications, and adverse effects via metabolic and neurological pathways. Nonetheless, aspects of the association between single nucleotide polymorphisms and depression have not been systematically investigated by bibliometric analysis.

Objective: The aim of this study was to analyze the current status and trends of single nucleotide polymorphism research on depression through bibliometric and visual analysis.

Methods: The Web of Science Core Collection was used to retrieve 10,043 articles that were published between 1998 and 2021. CiteSpace (6.1 R4) was used to perform collaborative network analysis, co-citation analysis, co-occurrence analysis, and citation burst detection.

Results: The most productive and co-cited journals were the Journal of Affective Disorders and Biological Psychiatry, respectively, and an analysis of the references showed that the most recent research focused on the largest thematic cluster, “5-HT”, reflecting the important research base in this area. “CYP2D6” has been in the spotlight since its emergence in 2009 and has become a research hotspot since its outbreak in 2019. However, “BDNF ”, “COMT ”, “older adults”, “loci”, and “DNA methylation” are also the new frontier of research, and some of them are currently in the process of exploration.

Conclusion: These findings offer a useful perspective on existing research and potential future approaches in the study of the association between single nucleotide polymorphisms and depression, which may assist researchers in selecting appropriate collaborators or journals.

[1]
Xu, W.; Yao, X.; Zhao, F.; Zhao, H.; Cheng, Z.; Yang, W.; Cui, R.; Xu, S.; Li, B. Changes in hippocampal plasticity in depression and therapeutic approaches influencing these changes. Neural Plast., 2020, 2020, 1-16.
[http://dx.doi.org/10.1155/2020/8861903] [PMID: 33293948]
[2]
Gujral, S.; Aizenstein, H.; Reynolds, C.F., III; Butters, M.A.; Erickson, K.I. Exercise effects on depression: Possible neural mechanisms. Gen. Hosp. Psychiatry, 2017, 49, 2-10.
[http://dx.doi.org/10.1016/j.genhosppsych.2017.04.012] [PMID: 29122145]
[3]
MacQueen, G.; Santaguida, P.; Keshavarz, H.; Jaworska, N.; Levine, M.; Beyene, J.; Raina, P. Systematic review of clinical practice guidelines for failed antidepressant treatment response in major depressive disorder, dysthymia, and subthreshold depression in adults. Can. J. Psychiatry, 2017, 62(1), 11-23.
[http://dx.doi.org/10.1177/0706743716664885] [PMID: 27554483]
[4]
Hao, Y.; Ge, H.; Sun, M.; Gao, Y. Selecting an appropriate animal model of depression. Int. J. Mol. Sci., 2019, 20(19), 4827.
[http://dx.doi.org/10.3390/ijms20194827] [PMID: 31569393]
[5]
Du, D.; Tang, Q.; Han, Q.; Zhang, J.; Liang, X.; Tan, Y.; Xiang, B. Association between genetic polymorphism and antidepressants in major depression: A network meta-analysis. Pharmacogenomics, 2020, 21(13), 963-974.
[6]
Howard, D.M.; Adams, M.J.; Clarke, T.K.; Hafferty, J.D.; Gibson, J.; Shirali, M.; Coleman, J.R.I.; Hagenaars, S.P.; Ward, J.; Wigmore, E.M.; Alloza, C.; Shen, X.; Barbu, M.C.; Xu, E.Y.; Whalley, H.C.; Marioni, R.E.; Porteous, D.J.; Davies, G.; Deary, I.J.; Hemani, G.; Berger, K.; Teismann, H.; Rawal, R.; Arolt, V.; Baune, B.T.; Dannlowski, U.; Domschke, K.; Tian, C.; Hinds, D.A.; Trzaskowski, M.; Byrne, E.M.; Ripke, S.; Smith, D.J.; Sullivan, P.F.; Wray, N.R.; Breen, G.; Lewis, C.M.; McIntosh, A.M. Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nat. Neurosci., 2019, 22(3), 343-352.
[http://dx.doi.org/10.1038/s41593-018-0326-7] [PMID: 30718901]
[7]
Lucassen, M.F.G.; Stasiak, K.; Samra, R.; Frampton, C.M.A.; Merry, S.N. Sexual minority youth and depressive symptoms or depressive disorder: A systematic review and meta-analysis of population-based studies. Aust. N. Z. J. Psychiatry, 2017, 51(8), 774-787.
[http://dx.doi.org/10.1177/0004867417713664] [PMID: 28565925]
[8]
Rice, F.; Riglin, L.; Lomax, T.; Souter, E.; Potter, R.; Smith, D.J.; Thapar, A.K.; Thapar, A. Adolescent and adult differences in major depression symptom profiles. J. Affect. Disord., 2019, 243, 175-181.
[http://dx.doi.org/10.1016/j.jad.2018.09.015] [PMID: 30243197]
[9]
Chen, P. Optimized treatment strategy for depressive disorder. Adv. Exp. Med. Biol., 2019, 1180, 201-217.
[http://dx.doi.org/10.1007/978-981-32-9271-0_11] [PMID: 31784965]
[10]
Borczyk, M.; Piechota, M.; Rodriguez Parkitna, J.; Korostynski, M. Prospects for personalization of depression treatment with genome sequencing. Br. J. Pharmacol., 2022, 179(17), 4220-4232.
[http://dx.doi.org/10.1111/bph.15470] [PMID: 33786859]
[11]
Anderson, H.D.; Thant, T.M.; Kao, D.P.; Crooks, K.R.; Mendola, N.D.; Aquilante, C.L. Pharmacogenetic testing among patients with depression in a US managed care population. Clin. Transl. Sci., 2022, 15(7), 1644-1653.
[http://dx.doi.org/10.1111/cts.13279] [PMID: 35385214]
[12]
Duma, N.; Santana-Davila, R.; Molina, J.R. Non-small cell lung cancer: Epidemiology, screening, diagnosis, and treatment. Mayo Clin. Proc., 2019, 94(8), 1623-1640.
[http://dx.doi.org/10.1016/j.mayocp.2019.01.013] [PMID: 31378236]
[13]
Lauschke, V.M.; Zhou, Y.; Ingelman-Sundberg, M. Novel genetic and epigenetic factors of importance for inter-individual differences in drug disposition, response and toxicity. Pharmacol. Ther., 2019, 197, 122-152.
[http://dx.doi.org/10.1016/j.pharmthera.2019.01.002] [PMID: 30677473]
[14]
Katara, P. Single nucleotide polymorphism and its dynamics for pharmacogenomics. Interdiscip. Sci., 2014, 6(2), 85-92.
[http://dx.doi.org/10.1007/s12539-013-0007-x] [PMID: 25172446]
[15]
Matsuda, K. PCR-based detection methods for single-nucleotide polymorphism or mutation. Adv. Clin. Chem., 2017, 80, 45-72.
[http://dx.doi.org/10.1016/bs.acc.2016.11.002] [PMID: 28431642]
[16]
Wigner, P.; Czarny, P.; Synowiec, E.; Bijak, M.; Białek, K.; Talarowska, M.; Galecki, P.; Szemraj, J.; Sliwinski, T. Association between single nucleotide polymorphisms of TPH1 and TPH2 genes, and depressive disorders. J. Cell. Mol. Med., 2018, 22(3), 1778-1791.
[http://dx.doi.org/10.1111/jcmm.13459] [PMID: 29314569]
[17]
Gałecka, E.; Szemraj, J.; Bieńkiewicz, M.; Majsterek, I.; Przybyłowska-Sygut, K.; Gałecki, P.; Lewiński, A. Single nucleotide polymorphisms of NR3C1 gene and recurrent depressive disorder in population of Poland. Mol. Biol. Rep., 2013, 40(2), 1693-1699.
[http://dx.doi.org/10.1007/s11033-012-2220-9] [PMID: 23073785]
[18]
Bialek, K.; Czarny, P.; Watala, C.; Synowiec, E.; Wigner, P.; Bijak, M.; Talarowska, M.; Galecki, P.; Szemraj, J.; Sliwinski, T. Preliminary study of the impact of single-nucleotide polymorphisms of IL-1α, IL-1β and TNF-α genes on the occurrence, severity and treatment effectiveness of the major depressive disorder. Cell. Mol. Neurobiol., 2020, 40(6), 1049-1056.
[http://dx.doi.org/10.1007/s10571-019-00782-5] [PMID: 31912349]
[19]
Ben Afia, A.; Aflouk, Y.; Saoud, H.; Zaafrane, F.; Gaha, L.; Bel Hadj Jrad, B. Inteurleukin-8 gene variations and the susceptibility to schizophrenia. Psychiatry Res., 2020, 293, 113421.
[http://dx.doi.org/10.1016/j.psychres.2020.113421] [PMID: 32920525]
[20]
Kahaei, M.S.; Ghafouri-Fard, S.; Namvar, A.; Omrani, M.D.; Sayad, A.; Taheri, M. Association study of a single nucleotide polymorphism in brain cytoplasmic 200 long-noncoding RNA and psychiatric disorders. Metab. Brain Dis., 2020, 35(7), 1095-1100.
[http://dx.doi.org/10.1007/s11011-020-00582-7] [PMID: 32488423]
[21]
Ramakreshnan, L.; Aghamohammadi, N.; Fong, C.S.; Sulaiman, N.M. A comprehensive bibliometrics of ‘walkability’ research landscape: visualization of the scientific progress and future prospects. Environ. Sci. Pollut. Res. Int., 2021, 28(2), 1357-1369.
[http://dx.doi.org/10.1007/s11356-020-11305-x] [PMID: 33094458]
[22]
Kokol, P.; Blažun, V.H.; Završnik, J. Application of bibliometrics in medicine: a historical bibliometrics analysis. Health Info. Libr. J., 2021, 38(2), 125-138.
[http://dx.doi.org/10.1111/hir.12295]
[23]
Johannessen, J.A. A systemic approach to the philosophy of history. Kybernetes, 2012, 41(3-4)
[24]
Yang, W.; Zhang, J.; Ma, R. The prediction of infectious diseases: A bibliometric analysis. Int. J. Environ. Res. Public Health, 2020, 17(17), 6218.
[http://dx.doi.org/10.3390/ijerph17176218] [PMID: 32867133]
[25]
Wu, M.; Long, R.; Bai, Y.; Chen, H. Knowledge mapping analysis of international research on environmental communication using bibliometrics. J. Environ. Manage., 2021, 298, 113475.
[http://dx.doi.org/10.1016/j.jenvman.2021.113475] [PMID: 34365181]
[26]
Li, D.; Zhao, R.; Peng, X.; Ma, Z.; Zhao, Y.; Gong, T.; Sun, M.; Jiao, Y.; Yang, T.; Xi, B. Biochar-related studies from 1999 to 2018: a bibliometrics-based review. Environ. Sci. Pollut. Res. Int., 2020, 27(3), 2898-2908.
[http://dx.doi.org/10.1007/s11356-019-06870-9] [PMID: 31838673]
[27]
Zhu, X.; Hu, J.; Deng, S.; Tan, Y.; Qiu, C.; Zhang, M.; Ni, X.; Lu, H.; Wang, Z.; Li, L.; Chen, H.; Huang, S.; Xiao, T.; Shang, D.; Wen, Y. Bibliometric and visual analysis of research on the links between the gut microbiota and depression From 1999 to 2019. Front. Psychiatry, 2021, 11, 587670.
[http://dx.doi.org/10.3389/fpsyt.2020.587670] [PMID: 33488420]
[28]
Milán-García, J.; Caparrós-Martínez, J.L.; Rueda-López, N.; de Pablo Valenciano, J. Climate change-induced migration: a bibliometric review. Global. Health, 2021, 17(1), 74.
[http://dx.doi.org/10.1186/s12992-021-00722-3] [PMID: 34217341]
[29]
Hou, J.; Su, H.; Kuang, X.; Qin, W.; Liu, K.; Pan, K.; Zhang, B.; Yang, S.; Yang, S.; Peng, X.; Nie, X.; Hua, Q. Knowledge domains and emerging trends of osteoblasts-osteoclasts in bone disease from 2002 to 2021: A bibliometrics analysis and visualization study. Front. Endocrinol. (Lausanne), 2022, 13, 922070.
[http://dx.doi.org/10.3389/fendo.2022.922070] [PMID: 35937845]
[30]
Fang, Y. Depressive Disorders: Mechanisms, Measurement and Management; Springer: Singapore, 2019.
[http://dx.doi.org/10.1007/978-981-32-9271-0]
[31]
Filatova, E.V.; Shadrina, M.I.; Slominsky, P.A. Major depression: one brain, one disease, one set of intertwined processes. Cells, 2021, 10(6), 1283.
[http://dx.doi.org/10.3390/cells10061283] [PMID: 34064233]
[32]
Lopez, J.P.; Kos, A.; Turecki, G. Major depression and its treatment. Curr. Opin. Psychiatry, 2018, 31(1), 7-16.
[http://dx.doi.org/10.1097/YCO.0000000000000379] [PMID: 29076893]
[33]
Gonda, X.; Petschner, P.; Eszlari, N.; Baksa, D.; Edes, A.; Antal, P.; Juhasz, G.; Bagdy, G. Genetic variants in major depressive disorder: From pathophysiology to therapy. Pharmacol. Ther., 2019, 194, 22-43.
[http://dx.doi.org/10.1016/j.pharmthera.2018.09.002] [PMID: 30189291]
[34]
Lane, W.G.; Dubowitz, H. Social determinants of health, personalized medicine, and child maltreatment. Pediatr. Res., 2021, 89(2), 368-376.
[http://dx.doi.org/10.1038/s41390-020-01290-9] [PMID: 33288877]
[35]
Lotfaliany, M.; Bowe, S.J.; Kowal, P.; Orellana, L.; Berk, M.; Mohebbi, M. Depression and chronic diseases: Co-occurrence and communality of risk factors. J. Affect. Disord., 2018, 241, 461-468.
[http://dx.doi.org/10.1016/j.jad.2018.08.011] [PMID: 30149333]
[36]
Roldan-Valadez, E.; Salazar-Ruiz, S.Y.; Ibarra-Contreras, R.; Rios, C. Current concepts on bibliometrics: a brief review about impact factor, Eigenfactor score, CiteScore, SCImago Journal Rank, Source-Normalised Impact per Paper, H-index, and alternative metrics. Ir. J. Med. Sci., 2019, 188(3), 939-951.
[http://dx.doi.org/10.1007/s11845-018-1936-5] [PMID: 30511320]
[37]
Caspi, A.; Sugden, K.; Moffitt, T.E.; Taylor, A.; Craig, I.W.; Harrington, H.; McClay, J.; Mill, J.; Martin, J.; Braithwaite, A.; Poulton, R. Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene. Science, 2003, 301(5631), 386-389.
[http://dx.doi.org/10.1126/science.1083968] [PMID: 12869766]
[38]
Analysis of shared heritability in common disorders of the brain. Science, 2018, 360(6395), eaap8757.
[http://dx.doi.org/10.1126/science.aap8757]
[39]
Culverhouse, R.C.; Saccone, N.L.; Bierut, L.J. The state of knowledge about the relationship between 5-HTTLPR, stress, and depression. J. Affect. Disord., 2018, 228, 205-206.
[http://dx.doi.org/10.1016/j.jad.2017.12.002] [PMID: 29268203]
[40]
Auton, A.; Abecasis, G.R.; Altshuler, D.M.; Durbin, R.M.; Abecasis, G.R.; Bentley, D.R.; Chakravarti, A.; Clark, A.G.; Donnelly, P.; Eichler, E.E.; Flicek, P.; Gabriel, S.B.; Gibbs, R.A.; Green, E.D.; Hurles, M.E.; Knoppers, B.M.; Korbel, J.O.; Lander, E.S.; Lee, C.; Lehrach, H.; Mardis, E.R.; Marth, G.T.; McVean, G.A.; Nickerson, D.A.; Schmidt, J.P.; Sherry, S.T.; Wang, J.; Wilson, R.K.; Gibbs, R.A.; Boerwinkle, E.; Doddapaneni, H.; Han, Y.; Korchina, V.; Kovar, C.; Lee, S.; Muzny, D.; Reid, J.G.; Zhu, Y.; Wang, J.; Chang, Y.; Feng, Q.; Fang, X.; Guo, X.; Jian, M.; Jiang, H.; Jin, X.; Lan, T.; Li, G.; Li, J.; Li, Y.; Liu, S.; Liu, X.; Lu, Y.; Ma, X.; Tang, M.; Wang, B.; Wang, G.; Wu, H.; Wu, R.; Xu, X.; Yin, Y.; Zhang, D.; Zhang, W.; Zhao, J.; Zhao, M.; Zheng, X.; Lander, E.S.; Altshuler, D.M.; Gabriel, S.B.; Gupta, N.; Gharani, N.; Toji, L.H.; Gerry, N.P.; Resch, A.M.; Flicek, P.; Barker, J.; Clarke, L.; Gil, L.; Hunt, S.E.; Kelman, G.; Kulesha, E.; Leinonen, R.; McLaren, W.M.; Radhakrishnan, R.; Roa, A.; Smirnov, D.; Smith, R.E.; Streeter, I.; Thormann, A.; Toneva, I.; Vaughan, B.; Zheng-Bradley, X.; Bentley, D.R.; Grocock, R.; Humphray, S.; James, T.; Kingsbury, Z.; Lehrach, H.; Sudbrak, R.; Albrecht, M.W.; Amstislavskiy, V.S.; Borodina, T.A.; Lienhard, M.; Mertes, F.; Sultan, M.; Timmermann, B.; Yaspo, M-L.; Mardis, E.R.; Wilson, R.K.; Fulton, L.; Fulton, R.; Sherry, S.T.; Ananiev, V.; Belaia, Z.; Beloslyudtsev, D.; Bouk, N.; Chen, C.; Church, D.; Cohen, R.; Cook, C.; Garner, J.; Hefferon, T.; Kimelman, M.; Liu, C.; Lopez, J.; Meric, P.; O’Sullivan, C.; Ostapchuk, Y.; Phan, L.; Ponomarov, S.; Schneider, V.; Shekhtman, E.; Sirotkin, K.; Slotta, D.; Zhang, H.; McVean, G.A.; Durbin, R.M.; Balasubramaniam, S.; Burton, J.; Danecek, P.; Keane, T.M.; Kolb-Kokocinski, A.; McCarthy, S.; Stalker, J.; Quail, M.; Schmidt, J.P.; Davies, C.J.; Gollub, J.; Webster, T.; Wong, B.; Zhan, Y.; Auton, A.; Campbell, C.L.; Kong, Y.; Marcketta, A.; Gibbs, R.A.; Yu, F.; Antunes, L.; Bainbridge, M.; Muzny, D.; Sabo, A.; Huang, Z.; Wang, J.; Coin, L.J.M.; Fang, L.; Guo, X.; Jin, X.; Li, G.; Li, Q.; Li, Y.; Li, Z.; Lin, H.; Liu, B.; Luo, R.; Shao, H.; Xie, Y.; Ye, C.; Yu, C.; Zhang, F.; Zheng, H.; Zhu, H.; Alkan, C.; Dal, E.; Kahveci, F.; Marth, G.T.; Garrison, E.P.; Kural, D.; Lee, W-P.; Fung Leong, W.; Stromberg, M.; Ward, A.N.; Wu, J.; Zhang, M.; Daly, M.J.; DePristo, M.A.; Handsaker, R.E.; Altshuler, D.M.; Banks, E.; Bhatia, G.; del Angel, G.; Gabriel, S.B.; Genovese, G.; Gupta, N.; Li, H.; Kashin, S.; Lander, E.S.; McCarroll, S.A.; Nemesh, J.C.; Poplin, R.E.; Yoon, S.C.; Lihm, J.; Makarov, V.; Clark, A.G.; Gottipati, S.; Keinan, A.; Rodriguez-Flores, J.L.; Korbel, J.O.; Rausch, T.; Fritz, M.H.; Stütz, A.M.; Flicek, P.; Beal, K.; Clarke, L.; Datta, A.; Herrero, J.; McLaren, W.M.; Ritchie, G.R.S.; Smith, R.E.; Zerbino, D.; Zheng-Bradley, X.; Sabeti, P.C.; Shlyakhter, I.; Schaffner, S.F.; Vitti, J.; Cooper, D.N.; Ball, E.V.; Stenson, P.D.; Bentley, D.R.; Barnes, B.; Bauer, M.; Keira Cheetham, R.; Cox, A.; Eberle, M.; Humphray, S.; Kahn, S.; Murray, L.; Peden, J.; Shaw, R.; Kenny, E.E.; Batzer, M.A.; Konkel, M.K.; Walker, J.A.; MacArthur, D.G.; Lek, M.; Sudbrak, R.; Amstislavskiy, V.S.; Herwig, R.; Mardis, E.R.; Ding, L.; Koboldt, D.C.; Larson, D.; Ye, K.; Gravel, S.; Swaroop, A.; Chew, E.; Lappalainen, T.; Erlich, Y.; Gymrek, M.; Frederick Willems, T.; Simpson, J.T.; Shriver, M.D.; Rosenfeld, J.A.; Bustamante, C.D.; Montgomery, S.B.; De La Vega, F.M.; Byrnes, J.K.; Carroll, A.W.; DeGorter, M.K.; Lacroute, P.; Maples, B.K.; Martin, A.R.; Moreno-Estrada, A.; Shringarpure, S.S.; Zakharia, F.; Halperin, E.; Baran, Y.; Lee, C.; Cerveira, E.; Hwang, J.; Malhotra, A.; Plewczynski, D.; Radew, K.; Romanovitch, M.; Zhang, C.; Hyland, F.C.L.; Craig, D.W.; Christoforides, A.; Homer, N.; Izatt, T.; Kurdoglu, A.A.; Sinari, S.A.; Squire, K.; Sherry, S.T.; Xiao, C.; Sebat, J.; Antaki, D.; Gujral, M.; Noor, A.; Ye, K.; Burchard, E.G.; Hernandez, R.D.; Gignoux, C.R.; Haussler, D.; Katzman, S.J.; James Kent, W.; Howie, B.; Ruiz-Linares, A.; Dermitzakis, E.T.; Devine, S.E.; Abecasis, G.R. Min Kang, H.; Kidd, J.M.; Blackwell, T.; Caron, S.; Chen, W.; Emery, S.; Fritsche, L.; Fuchsberger, C.; Jun, G.; Li, B.; Lyons, R.; Scheller, C.; Sidore, C.; Song, S.; Sliwerska, E.; Taliun, D.; Tan, A.; Welch, R.; Kate Wing, M.; Zhan, X.; Awadalla, P.; Hodgkinson, A.; Li, Y.; Shi, X.; Quitadamo, A.; Lunter, G.; McVean, G.A.; Marchini, J.L.; Myers, S.; Churchhouse, C.; Delaneau, O.; Gupta-Hinch, A.; Kretzschmar, W.; Iqbal, Z.; Mathieson, I.; Menelaou, A.; Rimmer, A.; Xifara, D.K.; Oleksyk, T.K.; Fu, Y.; Liu, X.; Xiong, M.; Jorde, L.; Witherspoon, D.; Xing, J.; Eichler, E.E.; Browning, B.L.; Browning, S.R.; Hormozdiari, F.; Sudmant, P.H.; Khurana, E.; Durbin, R.M.; Hurles, M.E.; Tyler-Smith, C.; Albers, C.A.; Ayub, Q.; Balasubramaniam, S.; Chen, Y.; Colonna, V.; Danecek, P.; Jostins, L.; Keane, T.M.; McCarthy, S.; Walter, K.; Xue, Y.; Gerstein, M.B.; Abyzov, A.; Balasubramanian, S.; Chen, J.; Clarke, D.; Fu, Y.; Harmanci, A.O.; Jin, M.; Lee, D.; Liu, J.; Jasmine Mu, X.; Zhang, J.; Zhang, Y.; Li, Y.; Luo, R.; Zhu, H.; Alkan, C.; Dal, E.; Kahveci, F.; Marth, G.T.; Garrison, E.P.; Kural, D.; Lee, W-P.; Ward, A.N.; Wu, J.; Zhang, M.; McCarroll, S.A.; Handsaker, R.E.; Altshuler, D.M.; Banks, E.; del Angel, G.; Genovese, G.; Hartl, C.; Li, H.; Kashin, S.; Nemesh, J.C.; Shakir, K.; Yoon, S.C.; Lihm, J.; Makarov, V.; Degenhardt, J.; Korbel, J.O.; Fritz, M.H.; Meiers, S.; Raeder, B.; Rausch, T.; Stütz, A.M.; Flicek, P.; Paolo Casale, F.; Clarke, L.; Smith, R.E.; Stegle, O.; Zheng-Bradley, X.; Bentley, D.R.; Barnes, B.; Keira Cheetham, R.; Eberle, M.; Humphray, S.; Kahn, S.; Murray, L.; Shaw, R.; Lameijer, E-W.; Batzer, M.A.; Konkel, M.K.; Walker, J.A.; Ding, L.; Hall, I.; Ye, K.; Lacroute, P.; Lee, C.; Cerveira, E.; Malhotra, A.; Hwang, J.; Plewczynski, D.; Radew, K.; Romanovitch, M.; Zhang, C.; Craig, D.W.; Homer, N.; Church, D.; Xiao, C.; Sebat, J.; Antaki, D.; Bafna, V.; Michaelson, J.; Ye, K.; Devine, S.E.; Gardner, E.J.; Abecasis, G.R.; Kidd, J.M.; Mills, R.E.; Dayama, G.; Emery, S.; Jun, G.; Shi, X.; Quitadamo, A.; Lunter, G.; McVean, G.A.; Chen, K.; Fan, X.; Chong, Z.; Chen, T.; Witherspoon, D.; Xing, J.; Eichler, E.E.; Chaisson, M.J.; Hormozdiari, F.; Huddleston, J.; Malig, M.; Nelson, B.J.; Sudmant, P.H.; Parrish, N.F.; Khurana, E.; Hurles, M.E.; Blackburne, B.; Lindsay, S.J.; Ning, Z.; Walter, K.; Zhang, Y.; Gerstein, M.B.; Abyzov, A.; Chen, J.; Clarke, D.; Lam, H.; Jasmine Mu, X.; Sisu, C.; Zhang, J.; Zhang, Y.; Gibbs, R.A.; Yu, F.; Bainbridge, M.; Challis, D.; Evani, U.S.; Kovar, C.; Lu, J.; Muzny, D.; Nagaswamy, U.; Reid, J.G.; Sabo, A.; Yu, J.; Guo, X.; Li, W.; Li, Y.; Wu, R.; Marth, G.T.; Garrison, E.P.; Fung Leong, W.; Ward, A.N.; del Angel, G.; DePristo, M.A.; Gabriel, S.B.; Gupta, N.; Hartl, C.; Poplin, R.E.; Clark, A.G.; Rodriguez-Flores, J.L.; Flicek, P.; Clarke, L.; Smith, R.E.; Zheng-Bradley, X.; MacArthur, D.G.; Mardis, E.R.; Fulton, R.; Koboldt, D.C.; Gravel, S.; Bustamante, C.D.; Craig, D.W.; Christoforides, A.; Homer, N.; Izatt, T.; Sherry, S.T.; Xiao, C.; Dermitzakis, E.T.; Abecasis, G.R.; Min Kang, H.; McVean, G.A.; Gerstein, M.B.; Balasubramanian, S.; Habegger, L.; Yu, H.; Flicek, P.; Clarke, L.; Cunningham, F.; Dunham, I.; Zerbino, D.; Zheng-Bradley, X.; Lage, K.; Berg Jespersen, J.; Horn, H.; Montgomery, S.B.; DeGorter, M.K.; Khurana, E.; Tyler-Smith, C.; Chen, Y.; Colonna, V.; Xue, Y.; Gerstein, M.B.; Balasubramanian, S.; Fu, Y.; Kim, D.; Auton, A.; Marcketta, A.; Desalle, R.; Narechania, A.; Wilson Sayres, M.A.; Garrison, E.P.; Handsaker, R.E.; Kashin, S.; McCarroll, S.A.; Rodriguez-Flores, J.L.; Flicek, P.; Clarke, L.; Zheng-Bradley, X.; Erlich, Y.; Gymrek, M.; Frederick Willems, T.; Bustamante, C.D.; Mendez, F.L.; David Poznik, G.; Underhill, P.A.; Lee, C.; Cerveira, E.; Malhotra, A.; Romanovitch, M.; Zhang, C.; Abecasis, G.R.; Coin, L.; Shao, H.; Mittelman, D.; Tyler-Smith, C.; Ayub, Q.; Banerjee, R.; Cerezo, M.; Chen, Y.; Fitzgerald, T.W.; Louzada, S.; Massaia, A.; McCarthy, S.; Ritchie, G.R.; Xue, Y.; Yang, F.; Gibbs, R.A.; Kovar, C.; Kalra, D.; Hale, W.; Muzny, D.; Reid, J.G.; Wang, J.; Dan, X.; Guo, X.; Li, G.; Li, Y.; Ye, C.; Zheng, X.; Altshuler, D.M.; Flicek, P.; Clarke, L.; Zheng-Bradley, X.; Bentley, D.R.; Cox, A.; Humphray, S.; Kahn, S.; Sudbrak, R.; Albrecht, M.W.; Lienhard, M.; Larson, D.; Craig, D.W.; Izatt, T.; Kurdoglu, A.A.; Sherry, S.T.; Xiao, C.; Haussler, D.; Abecasis, G.R.; McVean, G.A.; Durbin, R.M.; Balasubramaniam, S.; Keane, T.M.; McCarthy, S.; Stalker, J.; Chakravarti, A.; Knoppers, B.M.; Abecasis, G.R.; Barnes, K.C.; Beiswanger, C.; Burchard, E.G.; Bustamante, C.D.; Cai, H.; Cao, H.; Durbin, R.M.; Gerry, N.P.; Gharani, N.; Gibbs, R.A.; Gignoux, C.R.; Gravel, S.; Henn, B.; Jones, D.; Jorde, L.; Kaye, J.S.; Keinan, A.; Kent, A.; Kerasidou, A.; Li, Y.; Mathias, R.; McVean, G.A.; Moreno-Estrada, A.; Ossorio, P.N.; Parker, M.; Resch, A.M.; Rotimi, C.N.; Royal, C.D.; Sandoval, K.; Su, Y.; Sudbrak, R.; Tian, Z.; Tishkoff, S.; Toji, L.H.; Tyler-Smith, C.; Via, M.; Wang, Y.; Yang, H.; Yang, L.; Zhu, J.; Bodmer, W.; Bedoya, G.; Ruiz-Linares, A.; Cai, Z.; Gao, Y.; Chu, J.; Peltonen, L.; Garcia-Montero, A.; Orfao, A.; Dutil, J.; Martinez-Cruzado, J.C.; Oleksyk, T.K.; Barnes, K.C.; Mathias, R.A.; Hennis, A.; Watson, H.; McKenzie, C.; Qadri, F.; LaRocque, R.; Sabeti, P.C.; Zhu, J.; Deng, X.; Sabeti, P.C.; Asogun, D.; Folarin, O.; Happi, C.; Omoniwa, O.; Stremlau, M.; Tariyal, R.; Jallow, M.; Sisay Joof, F.; Corrah, T.; Rockett, K.; Kwiatkowski, D.; Kooner, J.; Tịnh Hiê’n, T.; Dunstan, S.J.; Thuy Hang, N.; Fonnie, R.; Garry, R.; Kanneh, L.; Moses, L.; Sabeti, P.C.; Schieffelin, J.; Grant, D.S.; Gallo, C.; Poletti, G.; Saleheen, D.; Rasheed, A.; Brooks, L.D.; Felsenfeld, A.L.; McEwen, J.E.; Vaydylevich, Y.; Green, E.D.; Duncanson, A.; Dunn, M.; Schloss, J.A.; Wang, J.; Yang, H.; Auton, A.; Brooks, L.D.; Durbin, R.M.; Garrison, E.P.; Min Kang, H.; Korbel, J.O.; Marchini, J.L.; McCarthy, S.; McVean, G.A.; Abecasis, G.R. A global reference for human genetic variation. Nature, 2015, 526(7571), 68-74.
[http://dx.doi.org/10.1038/nature15393] [PMID: 26432245]
[41]
Chang, C.C.; Chow, C.C.; Tellier, L.C.A.M.; Vattikuti, S.; Purcell, S.M.; Lee, J.J. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience, 2015, 4(1), 7.
[http://dx.doi.org/10.1186/s13742-015-0047-8]
[42]
Wray, N.R.; Ripke, S.; Mattheisen, M.; Trzaskowski, M.; Byrne, E.M.; Abdellaoui, A.; Adams, M.J.; Agerbo, E.; Air, T.M.; Andlauer, T.M.F.; Bacanu, S.A.; Bækvad-Hansen, M.; Beekman, A.F.T.; Bigdeli, T.B.; Binder, E.B.; Blackwood, D.R.H.; Bryois, J.; Buttenschøn, H.N.; Bybjerg-Grauholm, J.; Cai, N.; Castelao, E.; Christensen, J.H.; Clarke, T.K.; Coleman, J.I.R.; Colodro-Conde, L.; Couvy-Duchesne, B.; Craddock, N.; Crawford, G.E.; Crowley, C.A.; Dashti, H.S.; Davies, G.; Deary, I.J.; Degenhardt, F.; Derks, E.M.; Direk, N.; Dolan, C.V.; Dunn, E.C.; Eley, T.C.; Eriksson, N.; Escott-Price, V.; Kiadeh, F.H.F.; Finucane, H.K.; Forstner, A.J.; Frank, J.; Gaspar, H.A.; Gill, M.; Giusti-Rodríguez, P.; Goes, F.S.; Gordon, S.D.; Grove, J.; Hall, L.S.; Hannon, E.; Hansen, C.S.; Hansen, T.F.; Herms, S.; Hickie, I.B.; Hoffmann, P.; Homuth, G.; Horn, C.; Hottenga, J.J.; Hougaard, D.M.; Hu, M.; Hyde, C.L.; Ising, M.; Jansen, R.; Jin, F.; Jorgenson, E.; Knowles, J.A.; Kohane, I.S.; Kraft, J.; Kretzschmar, W.W.; Krogh, J.; Kutalik, Z.; Lane, J.M.; Li, Y.; Li, Y.; Lind, P.A.; Liu, X.; Lu, L.; MacIntyre, D.J.; MacKinnon, D.F.; Maier, R.M.; Maier, W.; Marchini, J.; Mbarek, H.; McGrath, P.; McGuffin, P.; Medland, S.E.; Mehta, D.; Middeldorp, C.M.; Mihailov, E.; Milaneschi, Y.; Milani, L.; Mill, J.; Mondimore, F.M.; Montgomery, G.W.; Mostafavi, S.; Mullins, N.; Nauck, M.; Ng, B.; Nivard, M.G.; Nyholt, D.R.; O’Reilly, P.F.; Oskarsson, H.; Owen, M.J.; Painter, J.N.; Pedersen, C.B.; Pedersen, M.G.; Peterson, R.E.; Pettersson, E.; Peyrot, W.J.; Pistis, G.; Posthuma, D.; Purcell, S.M.; Quiroz, J.A.; Qvist, P.; Rice, J.P.; Riley, B.P.; Rivera, M.; Saeed Mirza, S.; Saxena, R.; Schoevers, R.; Schulte, E.C.; Shen, L.; Shi, J.; Shyn, S.I.; Sigurdsson, E.; Sinnamon, G.B.C.; Smit, J.H.; Smith, D.J.; Stefansson, H.; Steinberg, S.; Stockmeier, C.A.; Streit, F.; Strohmaier, J.; Tansey, K.E.; Teismann, H.; Teumer, A.; Thompson, W.; Thomson, P.A.; Thorgeirsson, T.E.; Tian, C.; Traylor, M.; Treutlein, J.; Trubetskoy, V.; Uitterlinden, A.G.; Umbricht, D.; Van der Auwera, S.; van Hemert, A.M.; Viktorin, A.; Visscher, P.M.; Wang, Y.; Webb, B.T.; Weinsheimer, S.M.; Wellmann, J.; Willemsen, G.; Witt, S.H.; Wu, Y.; Xi, H.S.; Yang, J.; Zhang, F.; Arolt, V.; Baune, B.T.; Berger, K.; Boomsma, D.I.; Cichon, S.; Dannlowski, U.; de Geus, E.C.J.; DePaulo, J.R.; Domenici, E.; Domschke, K.; Esko, T.; Grabe, H.J.; Hamilton, S.P.; Hayward, C.; Heath, A.C.; Hinds, D.A.; Kendler, K.S.; Kloiber, S.; Lewis, G.; Li, Q.S.; Lucae, S.; Madden, P.F.A.; Magnusson, P.K.; Martin, N.G.; McIntosh, A.M.; Metspalu, A.; Mors, O.; Mortensen, P.B.; Müller-Myhsok, B.; Nordentoft, M.; Nöthen, M.M.; O’Donovan, M.C.; Paciga, S.A.; Pedersen, N.L.; Penninx, B.W.J.H.; Perlis, R.H.; Porteous, D.J.; Potash, J.B.; Preisig, M.; Rietschel, M.; Schaefer, C.; Schulze, T.G.; Smoller, J.W.; Stefansson, K.; Tiemeier, H.; Uher, R.; Völzke, H.; Weissman, M.M.; Werge, T.; Winslow, A.R.; Lewis, C.M.; Levinson, D.F.; Breen, G.; Børglum, A.D.; Sullivan, P.F. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression. Nat. Genet., 2018, 50(5), 668-681.
[http://dx.doi.org/10.1038/s41588-018-0090-3] [PMID: 29700475]
[43]
Mei, F.; Wu, Y.; Wu, J. The relationship between tryptophan hydroxylase-2 gene with primary insomnia and depressive symptoms in the han chinese population. Balkan Med. J., 2018, 35(6), 412-416.
[http://dx.doi.org/10.4274/balkanmedj.2017.1406] [PMID: 29952309]
[44]
Tao, S.; Chattun, M.R.; Yan, R.; Geng, J.; Zhu, R.; Shao, J.; Lu, Q.; Yao, Z. TPH-2 gene polymorphism in major depressive disorder patients with early-wakening symptom. Front. Neurosci., 2018, 12, 827.
[http://dx.doi.org/10.3389/fnins.2018.00827] [PMID: 30519155]
[45]
Bock, H.G.O.; Su, T.S.; O’Brien, W.E.; Beaudet, A.L. Sequence for human argininosuccinate synthetase cDNA. Nucleic Acids Res., 1983, 11(18), 6505-6512.
[http://dx.doi.org/10.1093/nar/11.18.6505] [PMID: 6194510]
[46]
Bock, S.C.; Levitan, D.J. Characterization of an unusual DNA length polymorphism 5′ to the human antithrombin III gene. Nucleic Acids Res., 1983, 11(24), 8569-8582.
[http://dx.doi.org/10.1093/nar/11.24.8569] [PMID: 6672771]
[47]
Pease, L.R.; Schulze, D.H.; Pfaffenbach, G.M.; Nathenson, S.G. Spontaneous H-2 mutants provide evidence that a copy mechanism analogous to gene conversion generates polymorphism in the major histocompatibility complex. Proc. Natl. Acad. Sci. USA, 1983, 80(1), 242-246.
[http://dx.doi.org/10.1073/pnas.80.1.242] [PMID: 6571997]
[48]
Blanc, H.; Chen, K.H.; D’Amore, M.A.; Wallace, D.C. Amino acid change associated with the major polymorphic Hinc II site of Oriental and Caucasian mitochondrial DNAs. Am. J. Hum. Genet., 1983, 35(2), 167-176.
[PMID: 6301266]
[49]
Caspi, A.; McClay, J.; Moffitt, T.E.; Mill, J.; Martin, J.; Craig, I.W.; Taylor, A.; Poulton, R. Role of genotype in the cycle of violence in maltreated children. Science, 2002, 297(5582), 851-854.
[http://dx.doi.org/10.1126/science.1072290] [PMID: 12161658]
[50]
Caspi, A.; Moffitt, T.E.; Cannon, M.; McClay, J.; Murray, R.; Harrington, H.; Taylor, A.; Arseneault, L.; Williams, B.; Braithwaite, A.; Poulton, R.; Craig, I.W. Moderation of the effect of adolescent-onset cannabis use on adult psychosis by a functional polymorphism in the catechol-O-methyltransferase gene: longitudinal evidence of a gene X environment interaction. Biol. Psychiatry, 2005, 57(10), 1117-1127.
[http://dx.doi.org/10.1016/j.biopsych.2005.01.026] [PMID: 15866551]
[51]
Caspi, A.; Hariri, A.R.; Holmes, A.; Uher, R.; Moffitt, T.E. Genetic sensitivity to the environment: the case of the serotonin transporter gene and its implications for studying complex diseases and traits. Am. J. Psychiatry, 2010, 167(5), 509-527.
[http://dx.doi.org/10.1176/appi.ajp.2010.09101452] [PMID: 20231323]
[52]
Lesch, K.P.; Bengel, D.; Heils, A.; Sabol, S.Z.; Greenberg, B.D.; Petri, S.; Benjamin, J.; Müller, C.R.; Hamer, D.H.; Murphy, D.L. Association of anxiety-related traits with a polymorphism in the serotonin transporter gene regulatory region. Science, 1996, 274(5292), 1527-1531.
[http://dx.doi.org/10.1126/science.274.5292.1527] [PMID: 8929413]
[53]
Lesch, K.P.; Balling, U.; Gross, J.; Strauss, K.; Wolozin, B.L.; Murphy, D.L.; Riederer, P. Organization of the human serotonin transporter gene. J. Neural Transm. (Vienna), 1994, 95(2), 157-162.
[http://dx.doi.org/10.1007/BF01276434] [PMID: 7865169]
[54]
Heils, A.; Teufel, A.; Petri, S.; Stöber, G.; Riederer, P.; Bengel, D.; Lesch, K.P. Allelic variation of human serotonin transporter gene expression. J. Neurochem., 1996, 66(6), 2621-2624.
[http://dx.doi.org/10.1046/j.1471-4159.1996.66062621.x] [PMID: 8632190]
[55]
Sullivan, P.F.; Neale, M.C.; Kendler, K.S. Genetic epidemiology of major depression: review and meta-analysis. Am. J. Psychiatry, 2000, 157(10), 1552-1562.
[http://dx.doi.org/10.1176/appi.ajp.157.10.1552] [PMID: 11007705]
[56]
Kendler, K.S.; Baker, J.H. Genetic influences on measures of the environment: a systematic review. Psychol. Med., 2007, 37(5), 615-626.
[http://dx.doi.org/10.1017/S0033291706009524] [PMID: 17176502]
[57]
Kendler, K.S.; Diehl, S.R. The genetics of schizophrenia: a current, genetic-epidemiologic perspective. Schizophr. Bull., 1993, 19(2), 261-285.
[http://dx.doi.org/10.1093/schbul/19.2.261] [PMID: 8322035]
[58]
Wang, S.Q.; Gao, Y.Q.; Zhang, C.; Xie, Y.J.; Wang, J.X.; Xu, F.Y. A bibliometric analysis using citespace of publications from 1999 to 2018 on patient rehabilitation after total knee arthroplasty. Med. Sci. Monit., 2020, 26, e920795.
[http://dx.doi.org/10.12659/MSM.920795] [PMID: 32179730]
[59]
Risch, N.; Herrell, R.; Lehner, T.; Liang, K.Y.; Eaves, L.; Hoh, J.; Griem, A.; Kovacs, M.; Ott, J.; Merikangas, K.R. Interaction between the serotonin transporter gene (5-HTTLPR), stressful life events, and risk of depression: a meta-analysis. JAMA, 2009, 301(23), 2462-2471.
[http://dx.doi.org/10.1001/jama.2009.878] [PMID: 19531786]
[60]
Porcelli, S.; Fabbri, C.; Serretti, A. Meta-analysis of serotonin transporter gene promoter polymorphism (5-HTTLPR) association with antidepressant efficacy. Eur. Neuropsychopharmacol., 2012, 22(4), 239-258.
[http://dx.doi.org/10.1016/j.euroneuro.2011.10.003] [PMID: 22137564]
[61]
Culverhouse, R.C.; Saccone, N.L.; Horton, A.C.; Ma, Y.; Anstey, K.J.; Banaschewski, T.; Burmeister, M.; Cohen-Woods, S.; Etain, B.; Fisher, H.L.; Goldman, N.; Guillaume, S.; Horwood, J.; Juhasz, G.; Lester, K.J.; Mandelli, L.; Middeldorp, C.M.; Olié, E.; Villafuerte, S.; Air, T.M.; Araya, R.; Bowes, L.; Burns, R.; Byrne, E.M.; Coffey, C.; Coventry, W.L.; Gawronski, K A B.; Glei, D.; Hatzimanolis, A.; Hottenga, J-J.; Jaussent, I.; Jawahar, C.; Jennen-Steinmetz, C.; Kramer, J.R.; Lajnef, M.; Little, K.; zu Schwabedissen, H.M.; Nauck, M.; Nederhof, E.; Petschner, P.; Peyrot, W.J.; Schwahn, C.; Sinnamon, G.; Stacey, D.; Tian, Y.; Toben, C.; Van der Auwera, S.; Wainwright, N.; Wang, J-C.; Willemsen, G.; Anderson, I.M.; Arolt, V.; Åslund, C.; Bagdy, G.; Baune, B.T.; Bellivier, F.; Boomsma, D.I.; Courtet, P.; Dannlowski, U.; de Geus, E.J.C.; Deakin, J F W.; Easteal, S.; Eley, T.; Fergusson, D.M.; Goate, A.M.; Gonda, X.; Grabe, H.J.; Holzman, C.; Johnson, E.O.; Kennedy, M.; Laucht, M.; Martin, N.G.; Munafò, M.R.; Nilsson, K.W.; Oldehinkel, A.J.; Olsson, C.A.; Ormel, J.; Otte, C.; Patton, G.C.; Penninx, B.W.J.H.; Ritchie, K.; Sarchiapone, M.; Scheid, J.M.; Serretti, A.; Smit, J.H.; Stefanis, N.C.; Surtees, P.G.; Völzke, H.; Weinstein, M.; Whooley, M.; Nurnberger, J.I., Jr; Breslau, N.; Bierut, L.J. Collaborative meta-analysis finds no evidence of a strong interaction between stress and 5-HTTLPR genotype contributing to the development of depression. Mol. Psychiatry, 2018, 23(1), 133-142.
[http://dx.doi.org/10.1038/mp.2017.44] [PMID: 28373689]
[62]
Albert, P.R.; Lemonde, S. 5-HT1A receptors, gene repression, and depression: guilt by association. Neuroscientist, 2004, 10(6), 575-593.
[http://dx.doi.org/10.1177/1073858404267382] [PMID: 15534042]
[63]
Yohn, C.N.; Gergues, M.M.; Samuels, B.A. The role of 5-HT receptors in depression. Mol. Brain, 2017, 10(1), 28.
[http://dx.doi.org/10.1186/s13041-017-0306-y] [PMID: 28646910]
[64]
Kulikov, A.V.; Gainetdinov, R.R.; Ponimaskin, E.; Kalueff, A.V.; Naumenko, V.S.; Popova, N.K. Interplay between the key proteins of serotonin system in SSRI antidepressants efficacy. Expert Opin. Ther. Targets, 2018, 22(4), 319-330.
[http://dx.doi.org/10.1080/14728222.2018.1452912] [PMID: 29542343]
[65]
Ochi, T.; Vyalova, N.M.; Losenkov, I.S.; Paderina, D.Z.; Pozhidaev, I.V.; Loonen, A.J.M.; Simutkin, G.G.; Bokhan, N.A.; Ivanova, S.A.; Wilffert, B. Limited associations between 5-HT receptor gene polymorphisms and treatment response in antidepressant treatment-free patients with depression. Front. Pharmacol., 2019, 10, 1462.
[http://dx.doi.org/10.3389/fphar.2019.01462] [PMID: 31956308]
[66]
Aguilera, M.; Arias, B.; Wichers, M.; Barrantes-Vidal, N.; Moya, J.; Villa, H.; van Os, J.; Ibáñez, M.I.; Ruipérez, M.A.; Ortet, G.; Fañanás, L. Early adversity and 5-HTT/BDNF genes: new evidence of gene–environment interactions on depressive symptoms in a general population. Psychol. Med., 2009, 39(9), 1425-1432.
[http://dx.doi.org/10.1017/S0033291709005248] [PMID: 19215635]
[67]
Albert, P.; Fiori, L. Transcriptional dys-regulation in anxiety and major depression: 5-HT1A gene promoter architecture as a therapeutic opportunity. Curr. Pharm. Des., 2014, 20(23), 3738-3750.
[http://dx.doi.org/10.2174/13816128113196660740] [PMID: 24180393]
[68]
Murphy, E.; Hou, L.; Maher, B.S.; Woldehawariat, G.; Kassem, L.; Akula, N.; Laje, G.; McMahon, F.J. Race, genetic ancestry and response to antidepressant treatment for major depression. Neuropsychopharmacology, 2013, 38(13), 2598-2606.
[http://dx.doi.org/10.1038/npp.2013.166] [PMID: 23827886]
[69]
Peters, E.J.; Slager, S.L.; Jenkins, G.D.; Reinalda, M.S.; Garriock, H.A.; Shyn, S.I.; Kraft, J.B.; McGrath, P.J.; Hamilton, S.P. Resequencing of serotonin-related genes and association of tagging SNPs to citalopram response. Pharmacogenet. Genomics, 2009, 19(1), 1-10.
[http://dx.doi.org/10.1097/FPC.0b013e3283163ecd] [PMID: 19077664]
[70]
Duman, E.A.; Canli, T. Influence of life stress, 5-HTTLPR genotype, and SLC6A4 methylation on gene expression and stress response in healthy Caucasian males. Biol. Mood Anxiety Disord., 2015, 5(1), 2.
[http://dx.doi.org/10.1186/s13587-015-0017-x] [PMID: 25995833]
[71]
Murphy, D.L.; Moya, P.R. Human serotonin transporter gene (SLC6A4) variants: their contributions to understanding pharmacogenomic and other functional G×G and G×E differences in health and disease. Curr. Opin. Pharmacol., 2011, 11(1), 3-10.
[http://dx.doi.org/10.1016/j.coph.2011.02.008] [PMID: 21439906]
[72]
Iurescia, S.; Seripa, D.; Rinaldi, M. Role of the 5-HTTLPR and SNP promoter polymorphisms on serotonin transporter gene expression: A closer look at genetic architecture and in vitro functional studies of common and uncommon allelic variants. Mol. Neurobiol., 2016, 53(8), 5510-5526.
[http://dx.doi.org/10.1007/s12035-015-9409-6] [PMID: 26464328]
[73]
Lam, D.; Ancelin, M.L.; Ritchie, K.; Freak-Poli, R.; Saffery, R.; Ryan, J. Genotype-dependent associations between serotonin transporter gene (SLC6A4) DNA methylation and late-life depression. BMC Psychiatry, 2018, 18(1), 282.
[http://dx.doi.org/10.1186/s12888-018-1850-4] [PMID: 30180828]
[74]
Hasan, M.A.; Hakim, F.T.; Islam Shovon, M.T.; Islam, M.M.; Islam, M.S.; Islam, M.A. The investigation of nonsynonymous SNPs of human SLC6A4 gene associated with depression: An in silico approach. Heliyon, 2021, 7(8), e07815.
[http://dx.doi.org/10.1016/j.heliyon.2021.e07815] [PMID: 34466701]
[75]
Bakusic, J.; Vrieze, E.; Ghosh, M.; Bekaert, B.; Claes, S.; Godderis, L. Increased methylation of NR3C1 and SLC6A4 is associated with blunted cortisol reactivity to stress in major depression. Neurobiol. Stress, 2020, 13, 100272.
[http://dx.doi.org/10.1016/j.ynstr.2020.100272] [PMID: 33344725]
[76]
Ugartemendia, L.; Bravo, R.; Reuter, M.; Castaño, M.Y.; Plieger, T.; Zamoscik, V.; Kirsch, P.; Rodríguez, A.B. SLC6A4 polymorphisms modulate the efficacy of a tryptophan-enriched diet on age-related depression and social cognition. Clin. Nutr., 2021, 40(4), 1487-1494.
[http://dx.doi.org/10.1016/j.clnu.2021.02.023] [PMID: 33743283]
[77]
Manoharan, A.; Shewade, D.G.; Rajkumar, R.P.; Adithan, S. Serotonin transporter gene (SLC6A4) polymorphisms are associated with response to fluoxetine in south Indian major depressive disorder patients. Eur. J. Clin. Pharmacol., 2016, 72(10), 1215-1220.
[http://dx.doi.org/10.1007/s00228-016-2099-9] [PMID: 27439447]
[78]
Hande, S.H.; Krishna, S.M.; Sahote, K.K.; Dev, N.; Erl, T.P.; Ramakrishna, K.; Ravidhran, R.; Das, R. Population genetic variation of SLC6A4 gene, associated with neurophysiological development. J. Genet., 2021, 100(1), 16.
[http://dx.doi.org/10.1007/s12041-021-01266-6] [PMID: 33764333]
[79]
Mendonça, M.S.; Mangiavacchi, P.M.; De Sousa, P.F.; Crippa, J.A.S.; Mendes, A.V.; Loureiro, S.R.; Martín-Santos, R.; Quirino, C.R.; Kanashiro, M.M.; Rios, A.F.L. Epigenetic variation at the SLC6A4 gene promoter in mother–child pairs with major depressive disorder. J. Affect. Disord., 2019, 245, 716-723.
[http://dx.doi.org/10.1016/j.jad.2018.10.369] [PMID: 30447571]
[80]
Ran, L.; Ai, M.; Wang, W.; Chen, J.; Wu, T.; Liu, W.; Jin, J.; Wang, S.; Kuang, L. Rare variants in SLC6A4 cause susceptibility to major depressive disorder with suicidal ideation in Han Chinese adolescents and young adults. Gene, 2020, 726, 144147.
[http://dx.doi.org/10.1016/j.gene.2019.144147] [PMID: 31629822]
[81]
Thiele, L.S.; Ishtiak-Ahmed, K.; Thirstrup, J.P.; Agerbo, E.; Lunenburg, C.A.T.C.; Müller, D.J.; Gasse, C. Clinical impact of functional CYP2C19 and CYP2D6 gene variants on treatment with antidepressants in young people with depression: a danish cohort study. Pharmaceuticals (Basel), 2022, 15(7), 870.
[http://dx.doi.org/10.3390/ph15070870] [PMID: 35890168]
[82]
Bahar, M.A.; Lanting, P.; Bos, J.H.J.; Sijmons, R.H.; Hak, E.; Wilffert, B. Impact of drug-gene-interaction, drug-drug-interaction, and drug-drug-gene-interaction on (es)citalopram therapy: The pharmlines initiative. J. Pers. Med., 2020, 10(4), 256.
[http://dx.doi.org/10.3390/jpm10040256] [PMID: 33260705]
[83]
Mrazek, D.A.; Biernacka, J.M.; O’Kane, D.J.; Black, J.L.; Cunningham, J.M.; Drews, M.S.; Snyder, K.A.; Stevens, S.R.; Rush, A.J.; Weinshilboum, R.M. CYP2C19 variation and citalopram response. Pharmacogenet. Genomics, 2011, 21(1), 1-9.
[http://dx.doi.org/10.1097/FPC.0b013e328340bc5a] [PMID: 21192344]
[84]
Lee, S.H.; Lee, M.S.; Lee, J.H.; Kim, S.W.; Kang, R.H.; Choi, M.J.; Park, S.J.; Kim, S.J.; Lee, J.M.; Cole, S.P.C.; Lee, M.G. MRP1 polymorphisms associated with citalopram response in patients with major depression. J. Clin. Psychopharmacol., 2010, 30(2), 116-125.
[http://dx.doi.org/10.1097/JCP.0b013e3181d2ef42] [PMID: 20520284]
[85]
Zhang, N.; Ji, L.; Chen, Z.; An, L.; Ren, D.; Bi, Y.; Guo, Z.; Yuan, R.; Yuan, F.; Dong, Z.; Yin, L.; Sun, X.; Yang, F.; Li, X.; Yu, T.; He, L.; Shi, L.; He, G. No association between CYP2C19 genetic polymorphism with treatment remission to antidepressant venlafaxine in Han Chinese population. Psychiatr. Genet., 2020, 30(1), 30-33.
[http://dx.doi.org/10.1097/YPG.0000000000000246] [PMID: 31842058]
[86]
Ji, Y.; Schaid, D.J.; Desta, Z.; Kubo, M.; Batzler, A.J.; Snyder, K.; Mushiroda, T.; Kamatani, N.; Ogburn, E.; Hall-Flavin, D.; Flockhart, D.; Nakamura, Y.; Mrazek, D.A.; Weinshilboum, R.M. Citalopram and escitalopram plasma drug and metabolite concentrations: genome-wide associations. Br. J. Clin. Pharmacol., 2014, 78(2), 373-383.
[http://dx.doi.org/10.1111/bcp.12348] [PMID: 24528284]
[87]
Dlugauskas, E.; Strumila, R.; Lengvenyte, A.; Ambrozaityte, L.; Dagyte, E.; Molyte, A.; Navickas, A.; Utkus, A. Analysis of Lithuanian CYP2D6 polymorphism and its relevance to psychiatric care of the local population. Nord. J. Psychiatry, 2019, 73(1), 31-35.
[http://dx.doi.org/10.1080/08039488.2018.1548648] [PMID: 30661435]
[88]
Zastrozhin, M.S.; Grishina, E.A.; Denisenko, N.P.; Skryabin, V.Y.; Markov, D.D.; Savchenko, L.M.; Bryun, E.A.; Sychev, D.A. Effects of CYP2D6 genetic polymorphisms on the efficacy and safety of fluvoxamine in patients with depressive disorder and comorbid alcohol use disorder. Pharm. Genomics Pers. Med., 2018, 11, 113-119.
[http://dx.doi.org/10.2147/PGPM.S160763] [PMID: 29988737]
[89]
Hahn, M.; Müller, D.J.; Roll, S.C. Frequencies of genetic polymorphisms of clinically relevant gene-drug pairs in a german psychiatric inpatient population. Pharmacopsychiatry, 2021, 54(2), 81-89.
[http://dx.doi.org/10.1055/a-1312-7175] [PMID: 33327018]
[90]
Walden, L.M.; Brandl, E.J.; Tiwari, A.K.; Cheema, S.; Freeman, N.; Braganza, N.; Kennedy, J.L.; Müller, D.J. Genetic testing for CYP2D6 and CYP2C19 suggests improved outcome for antidepressant and antipsychotic medication. Psychiatry Res., 2019, 279, 111-115.
[http://dx.doi.org/10.1016/j.psychres.2018.02.055] [PMID: 29699889]
[91]
Sasaki, T.; Yasui-Furukori, N.; Komahashi-Sasaki, H.; Shinozaki, M.; Hayashi, Y.; Kato, K.; Inoue, Y.; Tsuchimine, S.; Watanabe, T.; Sugawara, N.; Shimoda, K. CYP2D6*10 polymorphism and the enantioselective O‐desmethylation of S‐(+)‐ and R‐(‐)‐venlafaxine in Japanese psychiatric patients. Basic Clin. Pharmacol. Toxicol., 2021, 128(5), 677-685.
[http://dx.doi.org/10.1111/bcpt.13560] [PMID: 33470005]
[92]
Zastrozhin; Petukhov; Pankratenko; Grishina; Ryzhikova; Skryabin; Koporov; Bryun; Sychev, Impact of polymorphism of CYP2D6 on equilibrium concentration of duloxetine in patients suffering from major depressive disorder. Psychopharmacol. Bull., 2020, 50(3), 47-57.
[PMID: 32733111]
[93]
Crutchley, R.D.; Keuler, N. Sub-Analysis of CYP-GUIDES data: assessing the prevalence and impact of drug-gene interactions in an ethnically diverse cohort of depressed individuals. Front. Pharmacol., 2022, 13, 884213.
[http://dx.doi.org/10.3389/fphar.2022.884213] [PMID: 35496293]
[94]
Abo, R.; Hebbring, S.; Ji, Y.; Zhu, H.; Zeng, Z.B.; Batzler, A.; Jenkins, G.D.; Biernacka, J.; Snyder, K.; Drews, M.; Fiehn, O.; Fridley, B.; Schaid, D.; Kamatani, N.; Nakamura, Y.; Kubo, M.; Mushiroda, T.; Kaddurah-Daouk, R.; Mrazek, D.A.; Weinshilboum, R.M. Merging pharmacometabolomics with pharmacogenomics using ‘1000 Genomes’ single-nucleotide polymorphism imputation. Pharmacogenet. Genomics, 2012, 22(4), 247-253.
[http://dx.doi.org/10.1097/FPC.0b013e32835001c9] [PMID: 22322242]
[95]
Ślifirski, G.; Król, M.; Turło, J. 5-HT Receptors and the Development of New Antidepressants. Int. J. Mol. Sci., 2021, 22(16), 9015.
[http://dx.doi.org/10.3390/ijms22169015] [PMID: 34445721]
[96]
Garriock, H.A.; Tanowitz, M.; Kraft, J.B.; Dang, V.C.; Peters, E.J.; Jenkins, G.D.; Reinalda, M.S.; McGrath, P.J.; von Zastrow, M.; Slager, S.L.; Hamilton, S.P. Association of mu-opioid receptor variants and response to citalopram treatment in major depressive disorder. Am. J. Psychiatry, 2010, 167(5), 565-573.
[http://dx.doi.org/10.1176/appi.ajp.2009.08081167] [PMID: 20194481]
[97]
Villafuerte, S.M.; Vallabhaneni, K.; Śliwerska, E.; McMahon, F.J.; Young, E.A.; Burmeister, M. SSRI response in depression may be influenced by SNPs in HTR1B and HTR1A. Psychiatr. Genet., 2009, 19(6), 281-291.
[http://dx.doi.org/10.1097/YPG.0b013e32832a506e] [PMID: 19829169]
[98]
Colucci-D’Amato, L.; Speranza, L.; Volpicelli, F. Neurotrophic factor BDNF, physiological functions and therapeutic potential in depression, neurodegeneration and brain cancer. Int. J. Mol. Sci., 2020, 21(20), 7777.
[http://dx.doi.org/10.3390/ijms21207777] [PMID: 33096634]
[99]
Ramesh, V.; Venkatesan, V.; Chellathai, D.; Silamban, S. Association of serum biomarker levels and BDNF gene polymorphism with response to selective serotonin reuptake inhibitors in indian patients with major depressive disorder. Neuropsychobiology, 2021, 80(3), 201-213.
[http://dx.doi.org/10.1159/000507371] [PMID: 32731218]
[100]
Caldieraro, M.A.; McKee, M.; Leistner-Segal, S.; Vares, E.A.; Kubaski, F.; Spanemberg, L.; Brusius-Facchin, A.C.; Fleck, M.P.; Mischoulon, D. Val66Met polymorphism association with serum BDNF and inflammatory biomarkers in major depression. World J. Biol. Psychiatry, 2018, 19(5), 402-409.
[http://dx.doi.org/10.1080/15622975.2017.1347713] [PMID: 28656803]
[101]
Ide, S.; Kakeda, S.; Watanabe, K.; Yoshimura, R.; Abe, O.; Hayashi, K.; Ueda, I.; Kishi, T.; Katsuki, A.; Umene-Nakano, W.; Iwata, N.; Nakamura, J.; Korogi, Y. Relationship between a BDNF gene polymorphism and the brain volume in treatment-naive patients with major depressive disorder: A VBM analysis of brain MRI. Psychiatry Res. Neuroimaging, 2015, 233(2), 120-124.
[http://dx.doi.org/10.1016/j.pscychresns.2015.05.016] [PMID: 26078197]
[102]
Pandey, G.N.; Dwivedi, Y.; Rizavi, H.S.; Ren, X.; Zhang, H.; Pavuluri, M.N. Brain-derived neurotrophic factor gene and protein expression in pediatric and adult depressed subjects. Prog. Neuropsychopharmacol. Biol. Psychiatry, 2010, 34(4), 645-651.
[http://dx.doi.org/10.1016/j.pnpbp.2010.03.003] [PMID: 20227453]
[103]
Aldoghachi, A.F.; Tor, Y.S.; Redzun, S.Z.; Lokman, K.A.B.; Razaq, N.A.A.; Shahbudin, A.F.; Badamasi, I.M.; Cheah, P.S.; Stanslas, J.; Veerakumarasivam, A.; Rosli, R.; Ibrahim, N.; Lye, M.S.; Ling, K.H. Screening of brain-derived neurotrophic factor (BDNF) single nucleotide polymorphisms and plasma BDNF levels among Malaysian major depressive disorder patients. PLoS One, 2019, 14(1), e0211241.
[http://dx.doi.org/10.1371/journal.pone.0211241] [PMID: 30677092]
[104]
Zhang, C.; Ran, L.; Ai, M.; Wang, W.; Chen, J.; Wu, T.; Liu, W.; Jin, J.; Wang, S.; Kuang, L. Targeted sequencing of the BDNF gene in young Chinese Han people with major depressive disorder. Mol. Genet. Genomic Med., 2020, 8(10), e1484.
[http://dx.doi.org/10.1002/mgg3.1484] [PMID: 32869548]
[105]
Li, M.; Chang, H.; Xiao, X. BDNF Val66Met polymorphism and bipolar disorder in European populations: A risk association in case-control, family-based and GWAS studies. Neurosci. Biobehav. Rev., 2016, 68, 218-233.
[http://dx.doi.org/10.1016/j.neubiorev.2016.05.031] [PMID: 27236043]
[106]
Pathak, P.; Mehra, A.; Ram, S.; Pal, A.; Grover, S. Association of serum BDNF level and Val66Met polymorphism with response to treatment in patients of major depressive disease: A step towards personalized therapy. Behav. Brain Res., 2022, 430, 113931.
[http://dx.doi.org/10.1016/j.bbr.2022.113931] [PMID: 35605794]
[107]
Zubiaur, P.; Fernández-Campos, P.; Navares-Gómez, M.; Soria-Chacartegui, P.; Villapalos-García, G.; Román, M.; Mejía-Abril, G.; Ochoa, D.; Abad-Santos, F. Variants in COMT, CYP3A5, CYP2B6, and ABCG2 Alter Quetiapine Pharmacokinetics. Pharmaceutics, 2021, 13(10), 1573.
[http://dx.doi.org/10.3390/pharmaceutics13101573] [PMID: 34683865]
[108]
Hosang, G.M.; Fisher, H.L.; Cohen-Woods, S.; McGuffin, P.; Farmer, A.E. Stressful life events and catechol-O-methyl-transferase (COMT) gene in bipolar disorder. Depress. Anxiety, 2017, 34(5), 419-426.
[http://dx.doi.org/10.1002/da.22606] [PMID: 28102561]
[109]
Różycka, A.; Słopień, R.; Słopień, A.; Dorszewska, J.; Seremak-Mrozikiewicz, A.; Lianeri, M.; Maciukiewicz, M.; Warenik-Szymankiewicz, A.; Grzelak, T.; Kurzawińska, G.; Drews, K.; Klejewski, A.; Jagodziński, P.P. The MAOA, COMT, MTHFR and ESR1 gene polymorphisms are associated with the risk of depression in menopausal women. Maturitas, 2016, 84, 42-54.
[http://dx.doi.org/10.1016/j.maturitas.2015.10.011] [PMID: 26620113]
[110]
Tang, Z.; Zhang, S.; Guo, D.; Wang, H. Association between COMT gene Val108/158Met and antidepressive treatment response: A meta-analysis. Gene, 2020, 734, 144333.
[http://dx.doi.org/10.1016/j.gene.2020.144333] [PMID: 31972309]
[111]
Antypa, N.; Drago, A.; Serretti, A. The role of COMT gene variants in depression: Bridging neuropsychological, behavioral and clinical phenotypes. Neurosci. Biobehav. Rev., 2013, 37(8), 1597-1610.
[http://dx.doi.org/10.1016/j.neubiorev.2013.06.006] [PMID: 23792050]
[112]
Cao, Y.; Lin, X.; Chen, L.; Ji, L.; Zhang, W. The Catechol-O-methyltransferase and dopamine transporter genes moderated the impact of peer relationships on adolescent depressive symptoms: a gene-gene-environment study. J. Youth Adolesc., 2018, 47(11), 2468-2480.
[http://dx.doi.org/10.1007/s10964-018-0925-3] [PMID: 30242586]
[113]
Xavier, J.; Bastos, C.R.; Camerini, L.; Amaral, P.B.; Jansen, K.; de Mattos Souza, L.D.; da Silva, R.A.; Pinheiro, R.T.; Lara, D.R.; Ghisleni, G. Interaction between COMT Val158 Met polymorphism and childhood trauma predicts risk for depression in men. Int. J. Dev. Neurosci., 2022, 82(5), 385-396.
[http://dx.doi.org/10.1002/jdn.10186] [PMID: 35441426]
[114]
Shen, X.; Wu, Y.; Guan, T.; Wang, X.; Qian, M.; Lin, M.; Shen, Z.; Sun, J.; Zhong, H.; Yang, J.; Li, L.; Yuan, Y. Association analysis of COMT/MTHFR polymorphisms and major depressive disorder in Chinese Han population. J. Affect. Disord., 2014, 161, 73-78.
[http://dx.doi.org/10.1016/j.jad.2014.03.008] [PMID: 24751310]
[115]
Benedetti, F.; Dallaspezia, S.; Colombo, C.; Lorenzi, C.; Pirovano, A.; Smeraldi, E. Effect of catechol-O-methyltransferase Val] (108/158)Met polymorphism on antidepressant efficacy of fluvoxamine. Eur. Psychiatry, 2010, 25(8), 476-478.
[http://dx.doi.org/10.1016/j.eurpsy.2009.12.007] [PMID: 20619611]
[116]
Prediction of remission of depression with clinical variables, neuropsychological performance, and serotonergic/dopaminergic gene polymorphisms. Hum. Psychopharmacol., 2012, 27(6), 577-586.

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy