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image of Identification of Potential Drug Targets for Generalized Anxiety Disorder: A Mendelian Randomization Study Based on Druggable Genes

Abstract

Introduction

Generalized anxiety disorder (GAD) is a prevalent and intricate mental disorder that significantly impairs the quality of life of patients. Currently, the exact etiology of GAD remains incompletely understood. Consequently, the discovery of novel drug targets for GAD is highly important.

Methods

We obtained cis-eQTL data of druggable genes from the eQTLGen Consortium as the exposure data and GWAS data of GAD from the FinnGen Database as the outcome. The impact of druggable genes on GAD was simulated through Mendelian randomization analysis. Subsequently, a colocalization analysis was conducted to calculate the probability of shared pathogenic variants between the cis-eQTLs of druggable genes and GAD. To further validate our findings, a summary data-based Mendelian randomization (SMR) analysis was carried out.

Results

Mendelian randomization (MR) analysis identified 24 druggable genes with potential causal relationships, among which genetically predicted increased KDM5A levels were associated with a higher risk of GAD (OR=1.0991, 95% CI: 1.0021–1.2056, P=0.0451), suggesting a potential role of KDM5A gene expression in the pathogenesis of GAD. The GAD and KDM5A genes might share a causal variant. The SMR further verified the accuracy of the KDM5A gene.

Discussion

MR analysis identified KDM5A as a promising therapeutic target for GAD, with additional potential from genes, like MERTK and PPT1. However, the effectiveness of the relevant drug targets requires further validation.

Conclusion

This study suggested that the KDM5A gene might be a potential therapeutic target for treating GAD, providing a direction for future drug development in GAD patients.

This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode
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2025-10-28
2025-12-25
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References

  1. Tyrer P. Baldwin D. Generalised anxiety disorder. Lancet 2006 368 9553 2156 2166 10.1016/S0140‑6736(06)69865‑6 17174708
    [Google Scholar]
  2. Bandelow B. Michaelis S. Epidemiology of anxiety disorders in the 21st century. Dialogues Clin. Neurosci. 2015 17 3 327 335 10.31887/DCNS.2015.17.3/bbandelow 26487813
    [Google Scholar]
  3. Kampoureli C.N. Rae C.L. Gould Van Praag C. Harrison N.A. Garfinkel S.N. Critchley H.D. Eccles J.A. Neural processes linking joint hypermobility and anxiety: Key roles for the amygdala and insular cortex. Br. J. Psychiatry 2025 ••• 1 7 10.1192/bjp.2024.259 39895195
    [Google Scholar]
  4. Jiang C. Chen Y. Sun T. From the gut to the brain, mechanisms and clinical applications of γ-aminobutyric acid (GABA) on the treatment of anxiety and insomnia. Front. Neurosci. 2025 19 1570173 10.3389/fnins.2025.1570173 40400620
    [Google Scholar]
  5. Penninx B.W. Pine D.S. Holmes E.A. Reif A. Anxiety disorders. Lancet 2021 397 10277 914 927 10.1016/S0140‑6736(21)00359‑7
    [Google Scholar]
  6. Durham R.C. Allan T. Psychological treatment of generalised anxiety disorder. A review of the clinical significance of results in outcome studies since 1980. Br. J. Psychiatry 1993 163 19 26 10.1192/bjp.163.1.19
    [Google Scholar]
  7. Butler G. Fennell M. Robson P. Gelder M. Comparison of behavior therapy and cognitive behavior therapy in the treatment of generalized anxiety disorder. J. Consult. Clin. Psychol. 1991 59 1 167 175 10.1037/0022‑006X.59.1.167 2002134
    [Google Scholar]
  8. Carpenter J.K. Andrews L.A. Witcraft S.M. Powers M.B. Smits J.A.J. Hofmann S.G. Cognitive behavioral therapy for anxiety and related disorders: A meta‐analysis of randomized placebo‐controlled trials. Depress. Anxiety 2018 35 6 502 514 10.1002/da.22728 29451967
    [Google Scholar]
  9. Khawam E.A. Laurencic G. Malone D.A. Side effects of antidepressants: An overview. Cleve. Clin. J. Med. 2006 73 4 351 353, 356-361 10.3949/ccjm.73.4.351 16610395
    [Google Scholar]
  10. O’brien C.P. Benzodiazepine use, abuse, and dependence. J. Clin. Psychiatry 2005 66 Suppl. 2 28 33 15762817
    [Google Scholar]
  11. Duan L. Zhang S. Yan Q. Hu X. Comparative efficacy of different cognitive behavior therapy delivery formats for depression in patients with cancer: A network meta‐analysis of randomized controlled trials. Psychooncology 2025 34 1 70078 10.1002/pon.70078 39828669
    [Google Scholar]
  12. Zhang Y. Liu C. Chen X. Zhang Y. Li Y. Hu X. Effects of web‐based acceptance and commitment therapy on health‐related outcomes among patients with lung cancer: A feasibility randomized controlled trial. Psychooncology 2024 33 12 70045 10.1002/pon.70045 39681977
    [Google Scholar]
  13. Otowa T. Hek K. Lee M. Byrne E.M. Mirza S.S. Nivard M.G. Bigdeli T. Aggen S.H. Adkins D. Wolen A. Fanous A. Keller M.C. Castelao E. Kutalik Z. der Auwera S.V. Homuth G. Nauck M. Teumer A. Milaneschi Y. Hottenga J-J. Direk N. Hofman A. Uitterlinden A. Mulder C.L. Henders A.K. Medland S.E. Gordon S. Heath A.C. Madden P A F. Pergadia M.L. van der Most P.J. Nolte I.M. van Oort F.V.A. Hartman C.A. Oldehinkel A.J. Preisig M. Grabe H.J. Middeldorp C.M. Penninx B.W.J.H. Boomsma D. Martin N.G. Montgomery G. Maher B.S. van den Oord E.J. Wray N.R. Tiemeier H. Hettema J.M. Meta-analysis of genome-wide association studies of anxiety disorders. Mol. Psychiatry 2016 21 10 1391 1399 10.1038/mp.2015.197 26754954
    [Google Scholar]
  14. Hettema J.M. Neale M.C. Kendler K.S. A review and meta-analysis of the genetic epidemiology of anxiety disorders. Am. J. Psychiatry 2001 158 10 1568 1578 10.1176/appi.ajp.158.10.1568 11578982
    [Google Scholar]
  15. Chen L.G. Tubbs J.D. Liu Z. Thach T.Q. Sham P.C. Mendelian randomization: Causal inference leveraging genetic data. Psychol. Med. 2024 54 8 1461 1474 10.1017/S0033291724000321 38639006
    [Google Scholar]
  16. Han L. Xu S. Chen R. Zheng Z. Ding Y. Wu Z. Li S. He B. Bao M. Causal associations between HbA1c and multiple diseases unveiled through a Mendelian randomization phenome-wide association study in East Asian populations. Medicine 2025 104 11 41861 10.1097/MD.0000000000041861 40101035
    [Google Scholar]
  17. Wang Y. Li H. Fan R. Lv H. Hua S. Xie H. Tang T. Luo J. Xia Z. The effects of ferulic acid on the pharmacokinetics of warfarin in rats after biliary drainage. Drug Des. Devel. Ther. 2016 10 2173 2180 10.2147/DDDT.S107917 27462142
    [Google Scholar]
  18. Han L. Xu S. Zhou D. Chen R. Ding Y. Zhang M. Bao M. He B. Li S. Unveiling the causal link between metabolic factors and ovarian cancer risk using Mendelian randomization analysis. Front. Endocrinol. 2024 15 1401648 10.3389/fendo.2024.1401648 38899007
    [Google Scholar]
  19. Finan C. Gaulton A. Kruger F.A. Lumbers R.T. Shah T. Engmann J. Galver L. Kelley R. Karlsson A. Santos R. Overington J.P. Hingorani A.D. Casas J.P. The druggable genome and labelport for target identification and validation in drug development. Sci. Transl. Med. 2017 9 383 eaag1166 10.1126/scitranslmed.aag1166 28356508
    [Google Scholar]
  20. Cannon M. Stevenson J. Stahl K. Basu R. Coffman A. Kiwala S. McMichael J.F. Kuzma K. Morrissey D. Cotto K. Mardis E.R. Griffith O.L. Griffith M. Wagner A.H. DGIdb 5.0: Rebuilding the drug–gene interaction database for precision medicine and drug discovery platforms. Nucleic Acids Res. 2024 52 D1 D1227 D1235 10.1093/nar/gkad1040 37953380
    [Google Scholar]
  21. Li W. Wu J. Zhang J. Wang J. Xiang D. Luo S. Li J. Liu X. Puerarin-loaded PEG-PE micelles with enhanced anti-apoptotic effect and better pharmacokinetic profile. Drug Deliv. 2018 25 1 827 837 10.1080/10717544.2018.1455763 29587545
    [Google Scholar]
  22. Fang M. Xia Z. Rong X. Xiao J. The association of smoking on the increased risk of osteoporotic fracture: Results from a cross-sectional study and two-sample Mendelian randomization. Tob. Induc. Dis. 2024 22 June 1 11 10.18332/tid/189485 38933524
    [Google Scholar]
  23. Li W. Wu J. Xiang D. Luo S. Hu X. Tang T. Sun T. Liu X. Micelles loaded with puerarin and modified with triphenylphosphonium cation possess mitochondrial targeting and demonstrate enhanced protective effect against isoprenaline-induced H9c2 cells apoptosis. Int. J. Nanomedicine 2019 14 8345 8360 10.2147/IJN.S219670 31695371
    [Google Scholar]
  24. Wei Y. Xu S. Wu Z. Zhang M. Bao M. He B. Exploring the causal relationships between type 2 diabetes and neurological disorders using a Mendelian randomization strategy. Medicine 2024 103 46 40412 10.1097/MD.0000000000040412 39560586
    [Google Scholar]
  25. de Jong T.V. Kim P. Guryev V. Mulligan M.K. Williams R.W. Redei E.E. Chen H. Whole genome sequencing of nearly isogenic WMI and WLI inbred rats identifies genes potentially involved in depression and stress reactivity. Sci. Rep. 2021 11 1 14774 10.1038/s41598‑021‑92993‑4 34285244
    [Google Scholar]
  26. Byun Y.G. Kim N.S. Kim G. Jeon Y.S. Choi J.B. Park C.W. Kim K. Jang H. Kim J. Kim E. Han Y.M. Yoon K.J. Lee S.H. Chung W.S. Stress induces behavioral abnormalities by increasing expression of phagocytic receptor MERTK in astrocytes to promote synapse phagocytosis. Immunity 2023 56 9 2105 2120.e13 10.1016/j.immuni.2023.07.005 37527657
    [Google Scholar]
  27. Zou G.J. Chen Z.R. Wang X.Q. Cui Y.H. Li F. Li C.Q. Wang L.F. Huang F. Microglial activation in the medial prefrontal cortex after remote fear recall participates in the regulation of auditory fear extinction. Eur. J. Pharmacol. 2024 978 176759 10.1016/j.ejphar.2024.176759 38901527
    [Google Scholar]
  28. Koster K.P. Fyke Z. Nguyen T.T.A. Niqula A. Noriega-González L.Y. Woolfrey K.M. Dell’Acqua M.L. Cologna S.M. Yoshii A. Akap5 links synaptic dysfunction to neuroinflammatory signaling in a mouse model of infantile neuronal ceroid lipofuscinosis. Front. Synaptic Neurosci. 2024 16 1384625 10.3389/fnsyn.2024.1384625 38798824
    [Google Scholar]
  29. Wu Y. Zhang Q. Qi Y. Gao J. Li W. Lv L. Chen G. Zhang Z. Yue X. Peng S. Enzymatic activity of palmitoyl‐protein thioesterase‐1 in serum from schizophrenia significantly associates with schizophrenia diagnosis scales. J. Cell. Mol. Med. 2019 23 9 6512 6518 10.1111/jcmm.14496 31270934
    [Google Scholar]
  30. Terziroli Beretta-Piccoli B. Thompson R. Foskett P. Cerny A. Merlo E. Vergani D. Rougemont A.L. Moix I. Mieli-Vergani G. Morris M. A heterozygous ABCB4, RUNDC3B, and ABCB1 deletion associated with severe cholestatic liver disease in adulthood. Hepatology 2019 70 4 1484 1487 10.1002/hep.30783 31127640
    [Google Scholar]
  31. Hajj A. Hachem R. Khoury R. Hallit S. ElJEBBAWI, B.; Nasr, F.; El Karak, F.; Chahine, G.; Kattan, J.; Rabbaa Khabbaz, L. Clinical and genetic factors associated with anxiety and depression in breast cancer patients: A cross-sectional study. BMC Cancer 2021 21 1 872 10.1186/s12885‑021‑08615‑9 34330229
    [Google Scholar]
  32. Wang T. Wu X. Yin C. Klebe D. Zhang J.H. Qin X. CRMP-2 is involved in axon growth inhibition induced by RGMa in vitro and in vivo. Mol. Neurobiol. 2013 47 3 903 913 10.1007/s12035‑012‑8385‑3 23275173
    [Google Scholar]
  33. Lazzarino G. Di Pietro V. Rinaudo M. Nagy Z. Barnes N.M. Bruce L. Signoretti S. Mangione R. Saab M.W. Tavazzi B. Belli A. Lazzarino G. Amorini A.M. Logan A. ILB®, a low molecular weight dextran sulphate, restores glutamate homeostasis, amino acid metabolism and neurocognitive functions in a rat model of severe traumatic brain injury. Int. J. Mol. Sci. 2022 23 15 8460 10.3390/ijms23158460 35955592
    [Google Scholar]
  34. Wang J.Q. Derges J.D. Bodepudi A. Pokala N. Mao L.M. Roles of non-receptor tyrosine kinases in pathogenesis and treatment of depression. J. Integr. Neurosci. 2022 21 1 25 10.31083/j.jin2101025 35164461
    [Google Scholar]
  35. Sun Z. Gu L.H. Ma D. Wang M. Yang C. Zhang L. Li X. Zhang J. Li L. Behavioral and neurobiological changes in a novel mouse model of schizophrenia induced by the combination of cuprizone and MK-801. Brain Res. Bull. 2021 174 141 152 10.1016/j.brainresbull.2021.06.007 34119597
    [Google Scholar]
  36. Bernhart E. Damm S. Wintersperger A. DeVaney T. Zimmer A. Raynham T. Ireson C. Sattler W. Protein kinase D2 regulates migration and invasion of U87MG glioblastoma cells in vitro. Exp. Cell Res. 2013 319 13 2037 2048 10.1016/j.yexcr.2013.03.029 23562655
    [Google Scholar]
  37. Liu X. Zhang R. Fan J. Chen Y. Wang H. Ge Y. Liang H. Li W. Liu H. Lv Z. Dou W. Jiang H. Li X. The role of ROS/p38 MAPK/NLRP3 inflammasome cascade in arsenic-induced depression-/anxiety-like behaviors of mice. Ecotoxicol. Environ. Saf. 2023 261 115111 10.1016/j.ecoenv.2023.115111 37295304
    [Google Scholar]
  38. Jiao Y. Williams A. Wei N. Quercetin ameliorated insulin resistance via regulating METTL3-mediated N6-methyladenosine modification of PRKD2 mRNA in skeletal muscle and C2C12 myocyte cell line. Nutr. Metab. Cardiovasc. Dis. 2022 32 11 2655 2668 10.1016/j.numecd.2022.06.019 36058761
    [Google Scholar]
  39. Wang W. Liu H. Liu S. Hao T. Wei Y. Wei H. Zhou W. Zhang X. Hao X. Zhang M. Oocyte‐specific deletion of eukaryotic translation initiation factor 5 causes apoptosis of mouse oocytes within the early‐growing follicles by mitochondrial fission defect‐reactive oxygen species‐DNA damage. Clin. Transl. Med. 2024 14 8 1791 10.1002/ctm2.1791 39113233
    [Google Scholar]
  40. Qiu T. Jiang Z. Chen X. Dai Y. Zhao H. Comorbidity of anxiety and hypertension: Common risk factors and potential mechanisms. Int. J. Hypertens. 2023 2023 1 14 10.1155/2023/9619388 37273529
    [Google Scholar]
  41. Lee H. Rhee S.J. Kim J. Lee Y. Kim H. Lee J. Lee K. Shin H. Kim H. Lee T.Y. Kim M. Kim E.Y. Kim S.H. Ahn Y.M. Kwon J.S. Han D. Ha K. Predictive protein markers for depression severity in mood disorders: A preliminary trans-diagnostic approach study. J. Psychiatr. Res. 2021 142 63 72 10.1016/j.jpsychires.2021.07.041 34325234
    [Google Scholar]
  42. Yakovchik A.Y. Tolynyova D.V. Kashtanova D.A. Sutulova E.R. Ivanov M.V. Mamchur A.A. Erema V.V. Matkava L.R. Terekhov M.V. Rumyantseva A.M. Blinova O.I. Akinshina A.I. Mitrofanov S.I. Yudin V.S. Makarov V.V. Keskinov A.A. Kraevoy S.A. Yudin S.M. Genetics of psycho-emotional well-being: Genome-wide association study and polygenic risk score analysis. Front. Psychiatry 2024 14 1188427 10.3389/fpsyt.2023.1188427 38328521
    [Google Scholar]
  43. Beaulieu J.M. Zhang X. Rodriguiz R.M. Sotnikova T.D. Cools M.J. Wetsel W.C. Gainetdinov R.R. Caron M.G. Role of GSK3β in behavioral abnormalities induced by serotonin deficiency. Proc. Natl. Acad. Sci. USA 2008 105 4 1333 1338 10.1073/pnas.0711496105 18212115
    [Google Scholar]
  44. 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 10.1038/s41588‑018‑0090‑3 29700475
    [Google Scholar]
  45. Stahl E.A. Breen G. Forstner A.J. McQuillin A. Ripke S. Trubetskoy V. Mattheisen M. Wang Y. Coleman J.R.I. Gaspar H.A. de Leeuw C.A. Steinberg S. Pavlides J.M.W. Trzaskowski M. Byrne E.M. Pers T.H. Holmans P.A. Richards A.L. Abbott L. Agerbo E. Akil H. Albani D. Alliey-Rodriguez N. Als T.D. Anjorin A. Antilla V. Awasthi S. Badner J.A. Bækvad-Hansen M. Barchas J.D. Bass N. Bauer M. Belliveau R. Bergen S.E. Pedersen C.B. Bøen E. Boks M.P. Boocock J. Budde M. Bunney W. Burmeister M. Bybjerg-Grauholm J. Byerley W. Casas M. Cerrato F. Cervantes P. Chambert K. Charney A.W. Chen D. Churchhouse C. Clarke T.K. Coryell W. Craig D.W. Cruceanu C. Curtis D. Czerski P.M. Dale A.M. de Jong S. Degenhardt F. Del-Favero J. DePaulo J.R. Djurovic S. Dobbyn A.L. Dumont A. Elvsåshagen T. Escott-Price V. Fan C.C. Fischer S.B. Flickinger M. Foroud T.M. Forty L. Frank J. Fraser C. Freimer N.B. Frisén L. Gade K. Gage D. Garnham J. Giambartolomei C. Pedersen M.G. Goldstein J. Gordon S.D. Gordon-Smith K. Green E.K. Green M.J. Greenwood T.A. Grove J. Guan W. Guzman-Parra J. Hamshere M.L. Hautzinger M. Heilbronner U. Herms S. Hipolito M. Hoffmann P. Holland D. Huckins L. Jamain S. Johnson J.S. Juréus A. Kandaswamy R. Karlsson R. Kennedy J.L. Kittel-Schneider S. Knowles J.A. Kogevinas M. Koller A.C. Kupka R. Lavebratt C. Lawrence J. Lawson W.B. Leber M. Lee P.H. Levy S.E. Li J.Z. Liu C. Lucae S. Maaser A. MacIntyre D.J. Mahon P.B. Maier W. Martinsson L. McCarroll S. McGuffin P. McInnis M.G. McKay J.D. Medeiros H. Medland S.E. Meng F. Milani L. Montgomery G.W. Morris D.W. Mühleisen T.W. Mullins N. Nguyen H. Nievergelt C.M. Adolfsson A.N. Nwulia E.A. O’Donovan C. Loohuis L.M.O. Ori A.P.S. Oruc L. Ösby U. Perlis R.H. Perry A. Pfennig A. Potash J.B. Purcell S.M. Regeer E.J. Reif A. Reinbold C.S. Rice J.P. Rivas F. Rivera M. Roussos P. Ruderfer D.M. Ryu E. Sánchez-Mora C. Schatzberg A.F. Scheftner W.A. Schork N.J. Shannon Weickert C. Shehktman T. Shilling P.D. Sigurdsson E. Slaney C. Smeland O.B. Sobell J.L. Søholm Hansen C. Spijker A.T. St Clair D. Steffens M. Strauss J.S. Streit F. Strohmaier J. Szelinger S. Thompson R.C. Thorgeirsson T.E. Treutlein J. Vedder H. Wang W. Watson S.J. Weickert T.W. Witt S.H. Xi S. Xu W. Young A.H. Zandi P. Zhang P. Zöllner S. Adolfsson R. Agartz I. Alda M. Backlund L. Baune B.T. Bellivier F. Berrettini W.H. Biernacka J.M. Blackwood D.H.R. Boehnke M. Børglum A.D. Corvin A. Craddock N. Daly M.J. Dannlowski U. Esko T. Etain B. Frye M. Fullerton J.M. Gershon E.S. Gill M. Goes F. Grigoroiu-Serbanescu M. Hauser J. Hougaard D.M. Hultman C.M. Jones I. Jones L.A. Kahn R.S. Kirov G. Landén M. Leboyer M. Lewis C.M. Li Q.S. Lissowska J. Martin N.G. Mayoral F. McElroy S.L. McIntosh A.M. McMahon F.J. Melle I. Metspalu A. Mitchell P.B. Morken G. Mors O. Mortensen P.B. Müller-Myhsok B. Myers R.M. Neale B.M. Nimgaonkar V. Nordentoft M. Nöthen M.M. O’Donovan M.C. Oedegaard K.J. Owen M.J. Paciga S.A. Pato C. Pato M.T. Posthuma D. Ramos-Quiroga J.A. Ribasés M. Rietschel M. Rouleau G.A. Schalling M. Schofield P.R. Schulze T.G. Serretti A. Smoller J.W. Stefansson H. Stefansson K. Stordal E. Sullivan P.F. Turecki G. Vaaler A.E. Vieta E. Vincent J.B. Werge T. Nurnberger J.I. Wray N.R. Di Florio A. Edenberg H.J. Cichon S. Ophoff R.A. Scott L.J. Andreassen O.A. Kelsoe J. Sklar P. Genome-wide association study identifies 30 loci associated with bipolar disorder. Nat. Genet. 2019 51 5 793 803 10.1038/s41588‑019‑0397‑8 31043756
    [Google Scholar]
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