Common variants on 6q16.2, 12q24.31 and 16p13.3 are associated with major depressive disorder
Open accessAbstract
Accumulating evidence suggests that genetic factors have a role in major depressive disorder (MDD). However, only limited MDD risk loci have been identified so far. Here we perform a meta-analysis (a total of 90,150 MDD cases and 246,603 controls) through combing three genome-wide association studies of MDD, including 23andMe (cases were self-reported with a clinical diagnosis or treatment of depression), CONVERGE (cases were diagnosed using the Composite International Diagnostic Interview) and PGC (cases were diagnosed using direct structured diagnostic interview (by trained interviewers) or clinician-administered DSM-IV checklists). Genetic variants from two previously unreported loci (rs10457592 on 6q16.2 and rs2004910 on 12q24.31) showed significant associations with MDD (P < 5 × 10-8) in a total of 336,753 subjects. SNPs (a total of 171) with a P < 1 × 10-7 in the meta-analysis were further replicated in an independent sample (GS:SFHS, 2,659 MDD cases (diagnosed with DSM-IV) and 17,237 controls) and one additional risk locus (rs3785234 on 16p13.3, P = 1.57 × 10-8) was identified in the combined samples (a total of 92,809 cases and 263,840 controls). Risk variants on the identified risk loci were associated with gene expression in human brain tissues and mRNA expression analysis showed that FBXL4 and RSRC1 were significantly upregulated in brains of MDD cases compared with controls, suggesting that genetic variants may confer risk of MDD through regulating the expression of these two genes. Our study identified three novel risk loci (6q16.2, 12q24.31, and 16p13.3) for MDD and suggested that FBXL4 and RSRC1 may play a role in MDD. Further functional characterization of the identified risk genes may provide new insights for MDD pathogenesis.
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The gene encoding P2X7R is located in a susceptibility locus of relevance to depression in humans.
“which corroborates the findings that the gene encoding for the P2X7R is located in a susceptibility locus of relevance to depression in humans.”
From P2X7 Receptor Signaling in Stress and Depression (2019) · cites this paper as [70]
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Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139 · see citing works
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890 · see citing works
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089 · see citing works
A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247 · see citing works
Haploview: analysis and visualization of LD and haplotype maps
Barrett, J., Fry, B., Maller, J., & Daly, M. (2005) · Bioinform. · doi:10.1093/bioinformatics/bth457 · Cited by 15,086 · see citing works
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Koretz, D., Merikangas, K. R., Rush, A. J., Walters, E. E., & Wang, P. S. (2003) · JAMA · doi:10.1001/jama.289.23.3095 · Cited by 7,988 · see citing works
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877 · see citing works
From inflammation to sickness and depression: when the immune system subjugates the brain
Dantzer, R., O'Connor, J. C., Freund, G. G., Johnson, R. W., & Kelley, K. W. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2297 · Cited by 7,395 · see citing works
Selective Cortical Undercutting As a Means of Modifying and Studying Frontal Lobe Function in Man
Scoville, W. B. (1949) · Journal of neurosurgery · doi:10.3171/jns.1949.6.1.0065 · Cited by 7,373 · see citing works
The Structure of Haplotype Blocks in the Human Genome
Gabriel, S. B., Schaffner, S. F., Nguyen, H., Moore, J. M., Roy, J., Blumenstiel, B., Higgins, J., DeFelice, M., Lochner, A., Faggart, M., et al. (2002) · Science · doi:10.1126/science.1069424 · Cited by 5,863 · see citing works
Lopez, A. D., Mathers, C. D., Ezzati, M., Jamison, D. T., & Murray, C. J. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68770-9 · Cited by 5,630 · see citing works
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205 · see citing works
Ferrari, A. J., Charlson, F. J., Norman, R. E., Patten, S. B., Freedman, G., Murray, C. J. L., Vos, T., & Whiteford, H. A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001547 · Cited by 3,115 · see citing works
eQTLGen, Wray, N. R., 23andMe, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0090-3 · Cited by 3,005 · see citing works
Otte, C., Gold, S. M., Penninx, B. W., Pariante, C. M., Etkin, A., Fava, M., Mohr, D. C., & Schatzberg, A. F. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.65 · Cited by 2,269 · see citing works
The brain reward circuitry in mood disorders
Russo, S. J., & Nestler, E. J. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3381 · Cited by 1,870 · see citing works
The Economic Burden of Adults With Major Depressive Disorder in the United States (2005 and 2010)
Greenberg, P. E., Fournier, A.-A., Sisitsky, T., Pike, C. T., & Kessler, R. C. (2015) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.14m09298 · Cited by 1,779 · see citing works
Hasin, D. S., Goodwin, R. D., Stinson, F. S., & Grant, B. F. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.10.1097 · Cited by 1,645 · see citing works
Browning, B. L., & Browning, S. R. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.01.005 · Cited by 1,640 · see citing works
Genetic architectures of psychiatric disorders: the emerging picture and its implications
Sullivan, P. F., Daly, M. J., & O'Donovan, M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3240 · Cited by 1,177 · see citing works
A mega-analysis of genome-wide association studies for major depressive disorder
Major Depressive Disorder Working Group of the Psychiatric GWAS Consortium, Ripke, S., Wray, N. R., Lewis, C. M., Hamilton, S. P., Weissman, M. M., Breen, G., Byrne, E. M., Blackwood, D. H. R., Boomsma, D. I., et al. (2013) · Molecular Psychiatry · doi:10.1038/mp.2012.21 · Cited by 1,120 · see citing works
Katz, R. J., Roth, K. A., & Carroll, B. J. (1981) · Neuroscience & Biobehavioral Reviews · doi:10.1016/0149-7634(81)90005-1 · Cited by 889 · see citing works
Mortality of patients with mood disorders: follow-up over 34–38 years
Angst, F., Stassen, H. H., Clayton, P. J., & Angst, J. (2002) · Journal of Affective Disorders · doi:10.1016/s0165-0327(01)00377-9 · Cited by 881 · see citing works
Sparse whole-genome sequencing identifies two loci for major depressive disorder
CONVERGE consortium, Cai, N., Bigdeli, T. B., Kretzschmar, W., Li, Y., Liang, J., Song, L., Hu, J., Li, Q., Jin, W., et al. (2015) · Nature · doi:10.1038/nature14659 · Cited by 864 · see citing works
Hyde, C. L., Nagle, M. W., Tian, C., Chen, X., Paciga, S. A., Wendland, J. R., Tung, J. Y., Hinds, D. A., Perlis, R. H., & Winslow, A. R. (2016) · Nature Genetics · doi:10.1038/ng.3623 · Cited by 784 · see citing works
Sex-specific transcriptional signatures in human depression
Labonté, B., Engmann, O., Purushothaman, I., Menard, C., Wang, J., Tan, C., Scarpa, J. R., Moy, G., Loh, Y.-H. E., Cahill, M., et al. (2017) · Nature Medicine · doi:10.1038/nm.4386 · Cited by 748 · see citing works
The Genetics of Major Depression
Flint, J., & Kendler, K. S. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.027 · Cited by 724 · see citing works
Signals of recent positive selection in a worldwide sample of human populations
Pickrell, J. K., Coop, G., Novembre, J., Kudaravalli, S., Li, J. Z., Absher, D., Srinivasan, B. S., Barsh, G. S., Myers, R. M., Feldman, M. W., et al. (2009) · Genome Research · doi:10.1101/gr.087577.108 · Cited by 717 · see citing works
Berndt, S. I., Gustafsson, S., Mägi, R., Ganna, A., Wheeler, E., Feitosa, M. F., Justice, A. E., Monda, K. L., Croteau-Chonka, D. C., Day, F. R., et al. (2013) · Nature Genetics · doi:10.1038/ng.2606 · Cited by 646 · see citing works
Self-citationminimac2: faster genotype imputation
Fuchsberger, C., Abecasis, G. R., & Hinds, D. A. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu704 · Cited by 622 · see citing works
Comprehensive literature review and statistical considerations for microarray meta-analysis
Tseng, G. C., Ghosh, D., & Feingold, E. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1265 · Cited by 527 · see citing works
Integrating Functional Data to Prioritize Causal Variants in Statistical Fine-Mapping Studies
Kichaev, G., Yang, W.-Y., Lindström, S., Hormozdiari, F., Eskin, E., Price, A. L., Kraft, P. L., & Paşaniuc, B. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004722 · Cited by 476 · see citing works
The Clinical Course of Unipolar Major Depressive Disorders
Judd, L. L. (1997) · Archives of General Psychiatry · doi:10.1001/archpsyc.1997.01830230015002 · Cited by 460 · see citing works
Huang, Y.-F., Gulko, B., & Siepel, A. C. (2017) · Nature Genetics · doi:10.1038/ng.3810 · Cited by 329 · see citing works
SNiPA: an interactive, genetic variant-centered annotation browser
Arnold, M., Raffler, J., Pfeufer, A., Suhre, K., & Kastenmüller, G. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu779 · Cited by 309 · see citing works
Meta-Analysis in Genome-Wide Association Studies
Zeggini, E., & Ioannidis, J. P. A. (2009) · Pharmacogenomics · doi:10.2217/14622416.10.2.191 · Cited by 280 · see citing works
Gai, X., Ghezzi, D., Johnson, M. A., Biagosch, C., Shamseldin, H. E., Haack, T. B., Reyes, A., Tsukikawa, M., Sheldon, C. A., Srinivasan, S., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.07.016 · Cited by 180 · see citing works
Comprehensive literature review and statistical considerations for GWAS meta-analysis
Begum, F., Ghosh, D., Tseng, G. C., & Feingold, E. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1255 · Cited by 179 · see citing works
Bonnen, P. E., Yarham, J. W., Besse, A., Wu, P. C., Faqeih, E., Alasmari, A., Saleh, M. A. M., Eyaid, W., Hadeel, A., He, L., et al. (2013) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2013.07.017 · Cited by 173 · see citing works
Naitza, S., Porcu, E., Steri, M., Taub, D. D., Mulas, A., Xiao, X., Strait, J., Dei, M., Lai, S., Busonero, F., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002480 · Cited by 148 · see citing works
Mechanism, specificity, and physiology of signal peptide peptidase (SPP) and SPP-like proteases
Voß, M., Schröder, B., & Fluhrer, R. (2013) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/j.bbamem.2013.03.033 · Cited by 135 · see citing works
BrainSeq: Neurogenomics to Drive Novel Target Discovery for Neuropsychiatric Disorders
Schubert, C. R., O’Donnell, P., Quan, J., Wendland, J. R., Xi, H. S., Winslow, A. R., Domenici, E., Essioux, L., Kam-Thong, T., Airey, D. C., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.10.047 · Cited by 111 · see citing works
Voß, M., Künzel, U., Higel, F., Kuhn, P., Colombo, A. V., Fukumori, A., Haug‐Kröper, M., Klier, B., Grammer, G., Seidl, A., et al. (2014) · The EMBO Journal · doi:10.15252/embj.201488375 · Cited by 103 · see citing works
Amitriptyline and scopolamine in an animal model of depression
Katz, R. J., & Hersh, S. I. (1981) · Neuroscience & Biobehavioral Reviews · doi:10.1016/0149-7634(81)90008-7 · Cited by 101 · see citing works
Potkin, S. G., Turner, J. A., Fallon, J. A., Lakatos, A., Keator, D. B., Guffanti, G., Macciardi, F., & FBIRN (2009) · Molecular Psychiatry · doi:10.1038/mp.2008.127 · Cited by 97 · see citing works
The Genetic Architecture of Major Depressive Disorder in Han Chinese Women
Peterson, R. E., Cai, N., Bigdeli, T. B., Li, Y., Reimers, M., Nikulova, A., Webb, B. T., Bacanu, S., Riley, B. P., Jonathan Flint, C., et al. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.3578 · Cited by 94 · see citing works
Genetic effects influencing risk for major depressive disorder in China and Europe
Bigdeli, T. B., Ripke, S., Peterson, R. E., Trzaskowski, M., Bacanu, S., Abdellaoui, A., Andlauer, T. F. M., Beekman, A. T. F., Berger, K., Blackwood, D., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2016.292 · Cited by 80 · see citing works
Breen, G. D., Webb, B. T., Butler, A. W., van den Oord, E. J. C. G., Tozzi, F., Craddock, N. J., Gill, M., Korszun, A., Maier, W., Middleton, L. T., et al. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.10091342 · Cited by 69 · see citing works
Investigating the neuroimmunogenic architecture of schizophrenia
Birnbaum, R., Jaffe, A. E., Chen, Q., Shin, J. H., BrainSeq Consortium, Schubert, C. R., O'Donnell, P., Quan, J., Wendland, J. R., Xi, H. S., et al. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.89 · Cited by 67 · see citing works
A continuum of genetic liability for minor and major depression
Corfield, E. C., Yang, Y., Martin, N. G., & Nyholt, D. R. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.99 · Cited by 65 · see citing works
The Gene Encoding Protocadherin 9 (PCDH9), a Novel Risk Factor for Major Depressive Disorder
Xiao, X., Zheng, F., Chang, H., Ma, Y., Yao, Y., Luo, X., & Li, M. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.241 · Cited by 64 · see citing works
A Novel SR-Related Protein Is Required for the Second Step of Pre-mRNA Splicing
Cazalla, D., Newton, K., & Cáceres, J. F. (2005) · Molecular and Cellular Biology · doi:10.1128/mcb.25.8.2969-2980.2005 · Cited by 63 · see citing works
Nyborg, A. C., Ladd, T. B., Jansen, K. R., Kukar, T. L., & Golde, T. E. (2006) · The FASEB Journal · doi:10.1096/fj.06-5762com · Cited by 46 · see citing works
Scheich, B., Csekő, K., Borbély, É., Ábrahám, I. M., CSERNUS, V. J., Gaszner, B., & Helyes, Z. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.01.039 · Cited by 44 · see citing works
Zeng, Y., Navarro, P., Fernandez-Pujals, A. M., Hall, L. S., Clarke, T., Thomson, P. A., Smith, B. H., Hocking, L. J., Padmanabhan, S., Hayward, C., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.04.017 · Cited by 41 · see citing works
Zeng, Y., Navarro, P., Shirali, M., Howard, D. M., Adams, M. J., Hall, L. S., Clarke, T., Thomson, P. A., Smith, B. H., Murray, A. D., et al. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.12.012 · Cited by 31 · see citing works
A Protease-Independent Function for SPPL3 in NFAT Activation
Makowski, S. L., Wang, Z., & Pomerantz, J. L. (2014) · Molecular and Cellular Biology · doi:10.1128/mcb.01124-14 · Cited by 26 · see citing works
NK Cell Maturation and Cytotoxicity Are Controlled by the Intramembrane Aspartyl Protease SPPL3
Hamblet, C., Makowski, S. L., Tritapoe, J. M., & Pomerantz, J. L. (2016) · The Journal of Immunology · doi:10.4049/jimmunol.1501970 · Cited by 26 · see citing works
Genome-wide linkage on chromosome 10q26 for a dimensional scale of major depression
Knowles, E. E. M., Kent, J. W., McKay, D., Sprooten, E., Mathias, S. R., Curran, J. E., Carless, M. A., Almeida, M., Harald, H. H. G., Dyer, T., et al. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.11.012 · Cited by 25 · see citing works
Luo, X., Stavrakakis, N., Penninx, B. W. J. H., Bosker, F. J., Nolen, W. A., Boomsma, D. I., de Geus, E. J. C., Smit, J. H., Snieder, H., Nolte, I. M., et al. (2015) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32396 · Cited by 16 · see citing works
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Research works printed but not linked: 2
- Ripke S, Wray NR, Lewis CM, Hamilton SP, Weissman MM, Breen G, et al. A mega- analysis of genome-wide association studies for major depressive disorder. Mol Psychiatry. 2012;18:497-511.
- The Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (2018). Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depressive disorder. BioRxiv preprint first posted online Jul 24, 2017 doi: 101101/167577.
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Kendall, K. M., Van Assche, E., Andlauer, T. F. M., Choi, K. W., Luykx, J. J., Schulte, E. C., & Lu, Y. (2021) · Psychological Medicine · doi:10.1017/s0033291721000441 · Cited by 213 · see citing works
Coleman, J. R. I., Gaspar, H. A., Bryois, J., Byrne, E. M., Forstner, A. J., Holmans, P. A., de Leeuw, C. A., Mattheisen, M., McQuillin, A., Whitehead Pavlides, J. M., et al. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.10.015 · Cited by 199 · see citing works
Animal Models of Depression: What Can They Teach Us about the Human Disease?
Becker, M., Pinhasov, A., & Ornoy, A. (2021) · Diagnostics · doi:10.3390/diagnostics11010123 · Cited by 185 · see citing works
P2X7 Receptor Signaling in Stress and Depression
Ribeiro, D. E., Roncalho, A. L., Glaser, T., Ulrich, H., Wegener, G., & Joca, S. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20112778 · Cited by 129 · see citing works
The molecular pathophysiology of depression and the new therapeutics
Tian, H., Hu, Z., Xu, J., & Wang, C. (2022) · MedComm · doi:10.1002/mco2.156 · Cited by 122 · see citing works
Genetic evidence suggests posttraumatic stress disorder as a subtype of major depressive disorder
Zhang, F., Rao, S., Cao, H., Zhang, X., Wang, Q., Xu, Y., Sun, J., Wang, C., Chen, J., Xu, X., et al. (2021) · Journal of Clinical Investigation · doi:10.1172/jci145942 · Cited by 90 · see citing works
Thorp, J. G., Marees, A. T., Ong, J., An, J., MacGregor, S., & Derks, E. M. (2019) · Psychological Medicine · doi:10.1017/s0033291719002526 · Cited by 62 · see citing works
Genetic evidence suggests posttraumatic stress disorder as a subtype of major depressive disorder
Zhang, F., Rao, S., Cao, H., Zhang, X., Wang, Q., Xu, Y. J., Sun, J., Wang, C., Chen, J., Xu, X., et al. (2022) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 61 · see citing works
Transcriptome-wide association study identifies new susceptibility genes and pathways for depression
Li, X., Su, X., Liu, J., Li, H., Li, M., Li, W., & Luo, X. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01411-w · Cited by 55 · see citing works
Integration of GWAS and brain eQTL identifies FLOT1 as a risk gene for major depressive disorder
Zhong, J., Li, S., Zeng, W., Li, X., Gu, C., Liu, J., & Luo, X. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0345-4 · Cited by 45 · see citing works
Wang, X., Cheng, W., Zhu, J. L., Yin, H., Chang, S., Yue, W., & Yu, H. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.11.116 · Cited by 39 · see citing works
Li, H., Chang, H., Song, X., Liu, W., Li, L., Wang, L., Yang, Y., Zhang, L., Li, W., Zhang, Y., et al. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0346-3 · Cited by 35 · see citing works
Li, Y., Dang, X., Chen, R., Teng, Z., Wang, J., Li, S., Yue, Y., Mitchell, B. L., Zeng, Y., Yao, Y.-G., et al. (2025) · Nature Human Behaviour · doi:10.1038/s41562-024-02073-6 · Cited by 30 · see citing works
Schwabe, I., Milaneschi, Y., Gerring, Z. F., Sullivan, P. F., Schulte, E. C., Suppli, N. P., Thorp, J. G., Derks, E. M., & Middeldorp, C. M. (2019) · Psychological Medicine · doi:10.1017/s0033291719002502 · Cited by 29 · see citing works
Liu, W., Li, W., Cai, X. M., Yang, Z., Li, H., Su, X., Song, M., Zhou, D., Li, X., Zhang, C., et al. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0659-2 · Cited by 27 · see citing works
Association of time spent in outdoor light and genetic risk with the incidence of depression
Lin, J., Yang, H., Zhang, Y., Cao, Z., Li, D., Sun, L., Zhang, X., & Wang, Y. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02338-0 · Cited by 26 · see citing works
Forbes, M., O'Neil, A. E., Lane, M. M., Agustini, B., Myles, N., & Berk, M. (2021) · Drugs & Aging · doi:10.1007/s40266-021-00858-2 · Cited by 25 · see citing works
P2X7 receptor-mediated depression-like reactions arising in the mouse medial prefrontal cortex
Ren, W., Zhao, Y.-F., Li, J., Rubini, P., Yuan, Z., Tang, Y., & Illés, P. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad166 · Cited by 24 · see citing works
Lyu, S., Guo, Y., Zhang, L., Tang, G., Li, R., Yang, J., Gao, S., Li, W., & Liu, J. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108691 · Cited by 22 · see citing works
Shalimova, A. A., Babasieva, V. S., Chubarev, V. N., Tarasov, V. V., Schiöth, H. B., & Mwinyi, J. (2021) · Pharmacogenomics · doi:10.2217/pgs-2020-0157 · Cited by 21 · see citing works
Mokhtari, A., Porte, B., Belzeaux-R, R., Étain, B., Ibrahim, E. C., Cynthia Marie-claire, A., Lutz, P.-É., & Delahaye‐Duriez, A. (2022) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2022.110520 · Cited by 19 · see citing works
Gene polymorphisms of SIRT1 in patients with rheumatoid arthritis
Zhou, J., He, Y., Fu, L., Lan, Y., Liu, X., Wu, Q., Xu, W., & Huang, A. (2021) · International Journal of Rheumatic Diseases · doi:10.1111/1756-185x.14257 · Cited by 19 · see citing works
Kim, S., Kim, K., Hwang, M. Y., Ko, H., Jung, S.-H., Shim, I., Cha, S., Lee, H., Kim, B., Yoon, J., et al. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01343-5 · Cited by 18 · see citing works
Sall, S., Thompson, W., Santos, A., & Dwyer, D. S. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.698029 · Cited by 15 · see citing works
Li, K., Li, Y., Wang, J., Huo, Y., Huang, D., Li, S., Liu, J., Li, X., Liu, R., Chen, X., et al. (2020) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2020.04.001 · Cited by 17 · see citing works
Santos, P. M., Campos, G. P., & Nascimento, C. F. (2023) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s376380 · Cited by 15 · see citing works
Genetic associations of perinatal pain and depression
McClain, L. L., Farrell, L. M., LaSorda, K. R., Pan, L. A., Peters, D. G., & Lim, G. (2019) · Molecular Pain · doi:10.1177/1744806919882139 · Cited by 12 · see citing works
Sex Significantly Impacts the Function of Major Depression–Linked Variants In Vivo
Mulvey, B., Selmanovic, D., & Dougherty, J. D. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.02.009 · Cited by 12 · see citing works
RSRC1 loss-of-function variants cause mild to moderate autosomal recessive intellectual disability
Scala, M., Mojarrad, M., Riazuddin, S., Brigatti, K. W., Ammous, Z., Cohen, J. S., Hosny, H., Usmani, M. A., Shahzad, M., Riazuddin, S. A., et al. (2020) · Brain · doi:10.1093/brain/awaa070 · Cited by 11 · see citing works
Xu, J., Du, X., Zhai, Y., Zhao, Q., Zhang, Y., Wang, H., Wu, Y., Peng, Y., Liu, F., & Zhang, Q. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03585-z · Cited by 8 · see citing works
The Association Between STX1B Polymorphisms and Treatment Response in Patients With Epilepsy
Wang, S., Zhou, L., He, C., Wang, D., Cai, X., Yu, Y., Chen, L., Lu, D., Bian, L., Du, S., et al. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.701575 · Cited by 8 · see citing works
Wang, S., Wang, D., Cai, X., Wu, Q., & Han, Y. (2020) · Journal of International Medical Research · doi:10.1177/0300060520980527 · Cited by 6 · see citing works
Wu, D., Wu, Y., Lan, Y., Lan, S., Zhong, Z., Li, D., Zheng, Z., Wang, H., & Ma, L. (2023) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2023.06.001 · Cited by 6 · see citing works
Lvovs, A., Matrov, D., Kurrikoff, T., Veidebaum, T., & Harro, J. (2021) · Acta Neuropsychiatrica · doi:10.1017/neu.2021.41 · Cited by 4 · see citing works
Genetic Advance in Depressive Disorder
Zhang, C., & Rong, H. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-32-9271-0_2 · Cited by 4 · see citing works
Lafta, M. S., Sokolov, A. V., Rukh, G., & Schiöth, H. B. (2025) · Heliyon · doi:10.1016/j.heliyon.2025.e41865 · Cited by 3 · see citing works
Depression unveiled: a comprehensive review of pathophysiology and treatment advances
Skosana, P., Naidoo, M., Nabyoma, J., & Mushipe, T. (2025) · SA pharmaceutical journal. · doi:10.36303/sapj.3284 · Cited by 1 · see citing works
Sex significantly impacts the function of major depression-linked variants in vivoPreprint
Mulvey, B., Selmanovic, D., & Dougherty, J. D. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.01.466849 · Cited by 1 · see citing works
Progress in Neurophysiological Mechanisms of Depression
卢, 玺. (2021) · Advances in Psychology · doi:10.12677/ap.2021.117196
Hsu, T., & Huang, T. (2026) · Neuropsychobiology · doi:10.1159/000550656
Wang, H., Paul, K. C., Kusters, C., Lill, C. M., Zhou, J. J., Bronstein, J. M., & Ritz, B. R. (2026) · Human Genetics · doi:10.1007/s00439-026-02877-8
- Authors
- Team7, T. 2. R., Li, X., Luo, Z., Gu, C., Hall, L. S., McIntosh, A. M., Zeng, Y., Porteous, D. J., Hayward, C., Li, M., Yao, Y.-G., Zhang, C., & Luo, X.-J.
- Affiliations
- Kunming Institute of Zoology (CN)
- Medical University of South Carolina (US)
- University of Edinburgh (GB)
- Institute of Genetics and Cancer (GB)
- Western General Hospital (GB)
- Shanghai Jiao Tong University (CN)
- Corresponding author
- Zhang, Chen
- Luo, Xiong-Jian
- ORCID
- Venue
- Neuropsychopharmacology
- Published
- 2018-04-27
- Volume
- 43
- Issue
- 10
- Pages
- 2146-2153
- ISSN
- 0893-133X (ISSN-L)
- 1740-634X
- PMC
- PMC6098070
- OpenAlex
- W2801366487
- Cited by
- 41
- References
- 62
- Citations by year
- 2026: 2 · 2025: 4 · 2023: 5 · 2022: 4 · 2021: 13 · 2020: 4 · 2019: 9
- FWCI
- 3.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Neuropsychopharmacology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Funders
- Wellcome Trust (104036/Z/14/Z)
- Scottish Government (CZD/16/6)
- Scottish Funding Council (HR03006)
- National Natural Science Foundation of China (2016YFA0100900, 81,471,358, 31722029, 81671326)
- Chinese Academy of Sciences (XDB13000000, 2016YFA0100900)
- Chief Scientist Office, Scottish Government Health and Social Care Directorate (CZD/16/6)
- Medical Research Council (104036/Z/14/Z, MR/K026992/1, MC_UU_00007/10)
- National Key Research and Development Program of China (81471358, 2016YFA0100900)
- National Key Research and Development Program of China Stem Cell and Translational Research (2016YFA0100900)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- major depressive disorder, genetic susceptibility loci, 16p13.3, FBXL4, single nucleotide polymorphisms, brain gene expression, neurogenomics, depression pathogenesis
- MeSH terms
- Brain Chemistry, Chromosomes, Human, Major Depressive Disorder, Humans, Nuclear Proteins, Genetic Variation, Gene Expression, Risk Assessment, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Diagnostic and Statistical Manual of Mental Disorders, Ubiquitin-Protein Ligases, F-Box Proteins, Genome-Wide Association Study
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