A MIR4646 associated methylation locus is hypomethylated in adolescent depression
Open accessAbstract
BACKGROUND: Studies of epigenetics and transcriptional activity in adolescents may provide knowledge about possible preventive strategies of depression. METHODS: We present a methylome-wide association study (MWAS) and cohort validation analysis of depression in adolescents, in two separate cohorts: discovery (n=93) and validation data set 1 (n=78). The genome-wide methylation pattern was measured from whole blood using the Illumina 450K array. A second validation cohort, validation data set 2, consists of post-mortem brain biopsies from depressed adults (n=58). We performed a MWAS by robust multiple linear regressions of methylation to a modified risk-score assessment of depression. Methylation levels of candidate CpG sites were correlated with expression levels of the associated gene in an independent cohort of 11 healthy volunteers. RESULTS: The methylation state of two CpG sites reliably predicted ratings of depression in adolescents (cg13227623 and cg04102384) (p<10E-06). Cohort validation analysis confirmed cg04102384 - located in the promoter region of microRNA 4646 (MIR4646) - to be hypomethylated in both validation data set 1 and validation data set 2 (p<0.05). Cg04102384 was inversely correlated to expression levels of MIR4646-3p in healthy controls (p<0.05). LIMITATIONS: MIR4646 was not differentially expressed in a subset of samples with adolescent depression measured by qRT-PCR measurements. CONCLUSION: We identify a specific MIR4646 associated epigenetic risk site to be associated with depression in adolescents. Cg04102384 putatively regulates gene expression of MIR4646-3p. Target gene prediction and gene set overrepresentation analysis revealed involvement of this miRNA in fatty acid elongation, a process related to omega-3 fatty acids, previously associated with depression.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
Katoh, K., & Standley, D. M. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst010 · Cited by 46,209 · see citing works
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829 · see citing works
FactoMineR : An R Package for Multivariate Analysis
Lê, S., Josse, J., & Husson, F. (2008) · Journal of Statistical Software · doi:10.18637/jss.v025.i01 · Cited by 11,682 · see citing works
Exploration, normalization, and summaries of high density oligonucleotide array probe level data
Irizarry, R. A. (2003) · Biostatistics · doi:10.1093/biostatistics/4.2.249 · Cited by 10,603 · see citing works
Jalview Version 2—a multiple sequence alignment editor and analysis workbench
Waterhouse, A. M., Procter, J. B., Martin, D. M. A., Clamp, M. E., & Barton, G. J. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp033 · Cited by 10,011 · see citing works
O'Leary, N. A., Wright, M. W., Brister, J. R., Ciufo, S., Haddad, D., McVeigh, R., Rajput, B., Robbertse, B., Smith-White, B., Ako-Adjei, D., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1189 · Cited by 6,357 · see citing works
Leek, J. T., Johnson, W. E., Parker, H. S., Jaffe, A. E., & Storey, J. D. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts034 · Cited by 6,231 · see citing works
Letunic, I., & Bork, P. (2016) · Nucleic Acids Res. · doi:10.1093/nar/gkw290 · Cited by 4,851 · see citing works
miRBase: annotating high confidence microRNAs using deep sequencing data
Kozomara, A., & Griffiths-Jones, S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1181 · Cited by 4,629 · see citing works
Aryee, M. J., Jaffe, A. E., Bravo, H. C., Ladd‐Acosta, C., Feinberg, A. P., Hansen, K. D., & Irizarry, R. A. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu049 · Cited by 4,423 · see citing works
Overweight, Obesity, and Depression: A Systematic Review and Meta-analysis of Longitudinal Studies
Luppino, F. S., de Wit, L. M., Bouvy, P. F., Stijnen, T., Cuijpers, P., Penninx, B. W. J. H., & Zitman, F. G. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.2 · Cited by 4,322 · see citing works
MicroRNA Targeting Specificity in Mammals: Determinants beyond Seed Pairing
Grimson, A., Farh, K. K.-H., Johnston, W. K., Garrett-Engele, P., Lim, L. P., & Bartel, D. P. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.06.017 · Cited by 3,766 · see citing works
Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection.
Li, C., & Wong, W. H. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.1.31 · Cited by 3,133 · see citing works
Fast and effective prediction of microRNA/target duplexes
REHMSMEIER, M., STEFFEN, P., HÖCHSMANN, M., & GIEGERICH, R. (2004) · RNA · doi:10.1261/rna.5248604 · Cited by 2,560 · see citing works
Du, P., Zhang, X., Huang, C.-C., Jafari, N., Kibbe, W. A., Hou, L., & Lin, S. M. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-587 · Cited by 2,136 · see citing works
Epigenetics and the environment: emerging patterns and implications
Feil, R., & Fraga, M. F. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3142 · Cited by 1,929 · see citing works
GenABEL: an R library for genome-wide association analysis
Aulchenko, Y. S., Ripke, S., Isaacs, A., & van Duijn, C. M. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm108 · Cited by 1,836 · see citing works
Conserved role of intragenic DNA methylation in regulating alternative promoters
Maunakea, A. K., Nagarajan, R. P., Bilenky, M., Ballinger, T. J., D’Souza, C., Fouse, S. D., Johnson, B. E., Hong, C., Nielsen, C., Zhao, Y., et al. (2010) · Nature · doi:10.1038/nature09165 · Cited by 1,743 · see citing works
Dweep, H., Sticht, C., Pandey, P., & Gretz, N. (2011) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2011.05.002 · Cited by 1,699 · see citing works
An Increase in the Omega-6/Omega-3 Fatty Acid Ratio Increases the Risk for Obesity
Simopoulos, A. P. (2016) · Nutrients · doi:10.3390/nu8030128 · Cited by 1,673 · see citing works
Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites
Betel, D., Koppal, A., Agius, P., Sander, C., & Leslie, C. (2010) · Genome Biology · doi:10.1186/gb-2010-11-8-r90 · Cited by 1,592 · see citing works
Computational Many-Particle Physics
Fehske, H., Schneider, R., & Weiße, A. (2007) · Lecture notes in physics · doi:10.1007/978-3-540-74686-7 · Cited by 1,428 · see citing works
BLAST: a more efficient report with usability improvements
Boratyn, G. M., Camacho, C., Cooper, P. S., Coulouris, G., Fong, A., Ma, N., Madden, T. L., Matten, W. T., McGinnis, S. D., Merezhuk, Y., et al. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt282 · Cited by 1,369 · see citing works
DIANA-microT web server v5.0: service integration into miRNA functional analysis workflows
Paraskevopoulou, M. D., Georgakilas, G. K., Kostoulas, N., Vlachos, I. S., Vergoulis, T., Reczko, M., Filippidis, C., Dalamagas, T., & Hatzigeorgiou, A. G. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt393 · Cited by 1,132 · see citing works
Reinius, L. E., Acevedo, N., Joerink, M., Pershagen, G., Dahlén, S., Greco, D., Söderhäll, C., Scheynius, A., & Kere, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041361 · Cited by 1,019 · see citing works
ChAMP: 450k Chip Analysis Methylation Pipeline
Morris, T. J., Butcher, L. M., Feber, A., Teschendorff, A. E., Chakravarthy, A., Wojdacz, T. K., & Beck, S. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt684 · Cited by 1,004 · see citing works
Is there an epidemic of child or adolescent depression?
Jane Costello, E., Erkanli, A., & Angold, A. (2006) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2006.01682.x · Cited by 983 · see citing works
The health benefits of omega‐3 polyunsaturated fatty acids: a review of the evidence
Ruxton, C. H. S., Reed, S. C., Simpson, M. J. A., & Millington, K. J. (2004) · Journal of Human Nutrition and Dietetics · doi:10.1111/j.1365-277x.2004.00552.x · Cited by 929 · see citing works
Fish consumption and major depression
Hibbeln, J. R. (1998) · The Lancet · doi:10.1016/s0140-6736(05)79168-6 · Cited by 897 · see citing works
The ConsensusPathDB interaction database: 2013 update
Kamburov, A., Stelzl, U., Lehrach, H. R., & Herwig, R. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1055 · Cited by 808 · see citing works
Tobacco-smoking-related differential DNA methylation: 27K discovery and replication
Breitling, L. P., Yang, R., Korn, B., Burwinkel, B., & Brenner, H. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.03.003 · Cited by 640 · see citing works
Depletion of Omega-3 Fatty Acid Levels in Red Blood Cell Membranes of Depressive Patients
Peet, M., Murphy, B., Shay, J., & Horrobin, D. F. (1998) · Biological Psychiatry · doi:10.1016/s0006-3223(97)00206-0 · Cited by 578 · see citing works
Hannon, E., Lunnon, K., Schalkwyk, L., & Mill, J. (2015) · Epigenetics · doi:10.1080/15592294.2015.1100786 · Cited by 455 · see citing works
Epigenetics of the depressed brain: role of histone acetylation and methylation
Sun, H., Kennedy, P. J., & Nestler, E. J. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2012.73 · Cited by 413 · see citing works
Guintivano, J., Aryee, M. J., & Kaminsky, Z. A. (2013) · Epigenetics · doi:10.4161/epi.23924 · Cited by 369 · see citing works
Connolly, C. G., Wu, J., Ho, T. C., Hoeft, F., Wolkowitz, O., Eisendrath, S., Frank, G., Hendren, R., Max, J. E., Paulus, M. P., et al. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.05.036 · Cited by 356 · see citing works
Fergusson, D. M., Boden, J. M., & Horwood, L. J. (2007) · British Journal of Psychiatry · doi:10.1192/bjp.bp.107.036079 · Cited by 349 · see citing works
Immune suppression and immune activation in depression
Blume, J., Douglas, S. D., & Evans, D. L. (2011) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2010.10.008 · Cited by 338 · see citing works
The impact of environmental factors in severe psychiatric disorders
Schmitt, A., Malchow, B., Hasan, A., & Falkai, P. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00019 · Cited by 322 · see citing works
Zunszain, P. A., Hepgul, N., & Pariante, C. M. (2012) · Current topics in behavioral neurosciences · doi:10.1007/7854_2012_211 · Cited by 317 · see citing works
The role of DNA methylation in stress-related psychiatric disorders
Klengel, T., Pape, J., Binder, E. B., & Mehta, D. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2014.01.013 · Cited by 309 · see citing works
Interplay between microRNAs and the epigenetic machinery: An intricate network
Iorio, M. V., Piovan, C., & Croce, C. M. (2010) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2010.05.005 · Cited by 306 · see citing works
Course and outcome of child and adolescent major depressive disorder
Birmaher, B. B., Arbelaez, C., & Brent, D. (2002) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/s1056-4993(02)00011-1 · Cited by 270 · see citing works
Gene–environment interactions: early life stress and risk for depressive and anxiety disorders
Nugent, N. R., Tyrka, A. R., Carpenter, L. L., & Price, L. H. (2011) · Psychopharmacology · doi:10.1007/s00213-010-2151-x · Cited by 269 · see citing works
Consequences and Correlates of Adolescent Depression
Glied, S., & Pine, D. S. (2002) · Archives of Pediatrics & Adolescent Medicine · doi:10.1001/archpedi.156.10.1009 · Cited by 260 · see citing works
Reconfiguration of DNA methylation in aging
Zampieri, M., Ciccarone, F., Calabrese, R., Franceschi, C., Bürkle, A., & Caiafa, P. (2015) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2015.02.002 · Cited by 254 · see citing works
Gene expression in major depressive disorder
Jansen, R., Penninx, B. W. J. H., Madar, V, Xia, K., Milaneschi, Y., Hottenga, J. J., Hammerschlag, A. R., Beekman, A., van der Wee, N., Smit, J. H., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.57 · Cited by 224 · see citing works
Chou, J.-L., Huang, R., Shay, J., Chen, L.-Y., Lin, S.-J., Yan, P. S., Chao, W., Lai, Y.-H., Lai, Y.-L., Chao, T., et al. (2015) · Clinical Epigenetics · doi:10.1186/s13148-014-0036-2 · Cited by 206 · see citing works
Goodman, A., Heiervang, E. R., Collishaw, S., & Goodman, R. (2010) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-010-0219-x · Cited by 195 · see citing works
D'Addario, C., Dell'Osso, B., Palazzo, M. C., Benatti, B., Lietti, L., Cattaneo, E., Galimberti, D., Fenoglio, C., Cortini, F., Scarpini, E., et al. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2012.10 · Cited by 192 · see citing works
Reddy, R. D., Keshavan, M. S., & Yao, J. K. (2004) · Schizophrenia Bulletin · doi:10.1093/oxfordjournals.schbul.a007140 · Cited by 161 · see citing works
Epigenetic alterations in depression and antidepressant treatment
Menke, A., & Binder, E. B. (2014) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2014.16.3/amenke · Cited by 161 · see citing works
Epigenomics: Genome-Wide Study of Methylation Phenomena
(2002) · Current Issues in Molecular Biology · doi:10.21775/cimb.004.111 · Cited by 150 · see citing works
Depression and adipose essential polyunsaturated fatty acids
Mamalakis, G., Tornaritis, M. J., & Kafatos, A. (2002) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1054/plef.2002.0435 · Cited by 148 · see citing works
Omega-3 fatty acids and major depression: A primer for the mental health professional
Logan, A. C. (2004) · Lipids in Health and Disease · doi:10.1186/1476-511x-3-25 · Cited by 142 · see citing works
Functional connectivity of negative emotional processing in adolescent depression
Ho, T. C., Yang, G., Wu, J., Cassey, P., Brown, S. D., Hoang, N., Chan, M., Connolly, C. G., Henje, E., Duncan, L. G., et al. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.10.025 · Cited by 141 · see citing works
BDNF promoter methylation and genetic variation in late-life depression
Januar, V, Ancelin, M.-L., Ritchie, K., Saffery, R., & Ryan, J. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.114 · Cited by 139 · see citing works
Olsson, C. A., Foley, D. L., Parkinson-Bates, M., Byrnes, G., McKenzie, M., Patton, G. C., Morley, R., Anney, R. J. L., Craig, J. M., & Saffery, R. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2009.12.003 · Cited by 137 · see citing works
Vogelzangs, N., Beekman, A. T., van Reedt Dortland, A. K., Schoevers, R. A., Giltay, E. J., de Jonge, P., & Penninx, B. W. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2014.9 · Cited by 133 · see citing works
Genome-Wide DNA Methylation Scan in Major Depressive Disorder
Sabunciyan, S., Aryee, M. J., Irizarry, R. A., Rongione, M. A., Webster, M. J., Kaufmann, W. E., Murakami, P. N., Lessard, A., Yolken, R. H., Feinberg, A. P., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034451 · Cited by 132 · see citing works
Genome-wide Methylomic Analysis of Monozygotic Twins Discordant for Adolescent Depression
Dempster, E. L., Wong, C. C. Y., Lester, K. J., Burrage, J., Gregory, A. M., Mill, J. S., & Eley, T. C. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.04.013 · Cited by 132 · see citing works
Córdova-Palomera, A., Fatjó-Vilas, M., Gastó, C., Navarro, V, Krebs, M.-O., & Fañanás, L. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.49 · Cited by 117 · see citing works
Beyond genotype: serotonin transporter epigenetic modification predicts human brain function
Nikolova, Y. S., Koenen, K. C., Galea, S., Wang, C., Seney, M. L., Sibille, E. L., Williamson, D. E., & Hariri, A. R. (2014) · Nature Neuroscience · doi:10.1038/nn.3778 · Cited by 114 · see citing works
Dell׳Osso, B., D׳Addario, C., Carlotta Palazzo, M., Benatti, B., Camuri, G., Galimberti, D., Fenoglio, C., Scarpini, E., Di Francesco, A., Maccarrone, M., et al. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.05.020 · Cited by 112 · see citing works
Ruzicka, W. B., Subburaju, S., & Benes, F. M. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2015.49 · Cited by 101 · see citing works
Byrne, E. M., Carrillo‐Roa, T., Henders, A. K., Bowdler, L. M., McRae, A. F., Heath, A. C., Martin, N. G., Montgomery, G. W., Krause, L., & Wray, N. R. (2013) · Translational Psychiatry · doi:10.1038/tp.2013.45 · Cited by 100 · see citing works
Epigenetics and depressive disorders: a review of current progress and future directions
Januar, V., Saffery, R., & Ryan, J. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyu273 · Cited by 99 · see citing works
Association of DNA methylation with age, gender, and smoking in an Arab population
Zaghlool, S., Al-Shafai, M., Al-Muftah, W., Kumar, P., Falchi, M., & Suhre, K. (2015) · Clinical Epigenetics · doi:10.1186/s13148-014-0040-6 · Cited by 97 · see citing works
General hallmarks of microRNAs in brain evolution and development
Chen, W., & Qin, C. (2015) · RNA Biology · doi:10.1080/15476286.2015.1048954 · Cited by 86 · see citing works
Numata, S., Ishii, K., Tajima, A., Iga, J.-I., Kinoshita, M., Watanabe, S., Umehara, H., Fuchikami, M., Okada, S., Boku, S., et al. (2015) · Epigenetics · doi:10.1080/15592294.2014.1003743 · Cited by 79 · see citing works
Dietary Omega-3 Fatty Acids Modulate Large-Scale Systems Organization in the Rhesus Macaque Brain
Grayson, D. S., Kroenke, C. D., Neuringer, M., & Fair, D. A. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3038-13.2014 · Cited by 67 · see citing works
Omega-3 polyunsaturated fatty acid supplementation and white matter changes in major depression
Thapa-Chhetry, B., Hezghia, A., Miller, J. M., Lee, S., Rubin‐Falcone, H., Cooper, T. B., Oquendo, M. A., Mann, J. J., & Sublette, M. E. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.12.007 · Cited by 66 · see citing works
Population stratification and patterns of linkage disequilibrium
Hinrichs, A. L., Larkin, E. K., & Suarez, B. K. (2009) · Genetic Epidemiology · doi:10.1002/gepi.20478 · Cited by 59 · see citing works
Polyunsaturated fatty acid levels in red cell membranes of unmedicated schizophrenic patients
Peet, M., Shah, S., Selvam, K., & Ramchand, C. N. (2004) · The World Journal of Biological Psychiatry · doi:10.1080/15622970410029917 · Cited by 55 · see citing works
Villela, D., Ramalho, R. F., Silva, A. R. T., Brentani, H., Suemoto, C. K., Pasqualucci, C. A., Grinberg, L. T., Krepischi, A. C. V., & Rosenberg, C. (2016) · Neural Plasticity · doi:10.1155/2016/2584940 · Cited by 52 · see citing works
Fan, H., Sun, X., Niu, W., Zhao, L., Zhang, Q., Li, W., Zhong, A., Zhang, L.-Y., & Lu, J. Z. (2015) · Journal of Molecular Neuroscience · doi:10.1007/s12031-015-0503-z · Cited by 40 · see citing works
Ciuculete, D. M., Boström, A. E., Voisin, S., Philipps, H., Titova, O. E., Bandstein, M., Nikontovic, L., Williams, M. J., Mwinyi, J., & Schiöth, H. B. (2017) · Translational Psychiatry · doi:10.1038/tp.2016.275 · Cited by 40 · see citing works
Self-citationWalker, R. M., Sussmann, J. E., Whalley, H. C., Ryan, N., Porteous, D. J., McIntosh, A. M., & Evans, K. L. (2016) · Bipolar Disorders · doi:10.1111/bdi.12415 · Cited by 24 · see citing works
Rask‐Andersen, M., Bringeland, N., Nilsson, E., Bandstein, M., Búcaro, M. O., Vogel, H., Schürmann, A., Hogenkamp, P. S., Benedict, C., & Schiöth, H. B. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.122366 · Cited by 21 · see citing works
Self-citationMethylPCA: a toolkit to control for confounders in methylome-wide association studies
Chen, W., Gao, G., Nerella, S., Hultman, C. M., Magnusson, P. K. E., Sullivan, P. F., Åberg, K. A., & van den Oord, E. J. C. G. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-74 · Cited by 18 · see citing works
Cammaerts, S., Stražišar, M., Smets, B., Weckhuysen, S., Nordin, A., Jonghe, P. D., Adolfsson, R., Rijk, P. D., & Del‐Favero, J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144428 · Cited by 13 · see citing works
Genome-Wide Identification of Reverse Complementary microRNA Genes in Plants
Shao, C., Ma, X., Xu, X., Wang, H., & Meng, Y. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046991 · Cited by 10 · see citing works
Regestein, Q. R. (2010) · Menopause The Journal of The North American Menopause Society · doi:10.1097/gme.0b013e3181e15e0e · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Sambrook, J., Fritsch, E.F., Maniatis, T., 1989. MOLECULAR CLONING A LABORATORY MANUALSECOND EDITION VOLS. 1 2 AND 3. Sambrook J E F Fritsch and T Maniatis Molecular Cloning A Laboratory Manual Second Edition Vols 1 2 and 3 XxxixPagination VariesVol 1 XxxiiiPagination VariesVol 2 XxxiiPagination VariesVol 3. Cold Spring Harbor Laboratory Press.
Cited by
Sorted by citations
Yuan, M., Yang, B., Rothschild, G., Mann, J. J., Sanford, L. D., Tang, X., Huang, C., Wang, C., & Zhang, W. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01519-z · Cited by 246 · see citing works
“88 94 – 97 Another study comparing DNA methylation across the whole genome in live human brain tissue with that in peripheral (blood, saliva, and buccal) tissues concluded that the patterns unique to the target genomic region must be considered when selecting the best surrogate tissue to mimic…”
BackgroundWhat do DNA methylation studies tell us about depression? A systematic review
Li, M., D’Arcy, C., Li, X., Zhang, T., Joober, R., & Meng, X. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0412-y · Cited by 125 · see citing works
Humphreys, K. L., Moore, S. R., Davis, E., MacIsaac, J. L., Lin, D. T. S., Kobor, M. S., & Gotlib, I. H. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0582-7 · Cited by 67 · see citing works
Zhou, L., Zhu, Y., Chen, W., & Tang, Y. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.02.063 · Cited by 49 · see citing works
MicroRNAs in Major Depressive Disorder
Fries, G. R., Zhang, W., Benevenuto, D., & Quevedo, J. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-05542-4_9 · Cited by 31 · see citing works
Ciuculete, D. M., Boström, A. E. D., Tuunainen, A., Sohrabi, F., Kular, L., Jagodic, M., Voisin, S. A. C., Mwinyi, J., & Schiöth, H. B. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.03.008 · Cited by 29 · see citing works
Self-citationMcKibben, L. A., & Dwivedi, Y. (2021) · BMC Genomics · doi:10.1186/s12864-021-08003-4 · Cited by 27 · see citing works
Ciuculete, D. M., Voisin, S. A. C., Kular, L., Welihinda, N., Jonsson, J., Jagodic, M., Mwinyi, J., & Schiöth, H. B. (2019) · Epigenetics · doi:10.1080/15592294.2019.1700628 · Cited by 26 · see citing works
Self-citationDistinct epigenetic signatures between adult-onset and late-onset depression
Yamagata, H., Ogihara, H., Matsuo, K., Uchida, S., Kobayashi, A., Seki, T., Kobayashi, M., Harada, K., Chen, C., Miyata, S., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-81758-8 · Cited by 23 · see citing works
Tsamou, M., Vrijens, K., Wang, C., Winckelmans, E., Neven, K. Y., Madhloum, N., de Kok, T. M. C. M., & Nawrot, T. S. (2020) · Epigenetics · doi:10.1080/15592294.2020.1803467 · Cited by 17 · see citing works
Epigenetics and Pharmacoepigenetics of Neurodevelopmental and Neuropsychiatric Disorders
Cacabelos, R. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813939-4.00022-x · Cited by 11 · see citing works
An epigenome-wide methylation study of healthy individuals with or without depressive symptoms
Shimada, M., Otowa, T., Miyagawa, T., Umekage, T., Kawamura, Y., Bundo, M., Iwamoto, K., Ikegame, T., Tochigi, M., Kasai, K., et al. (2018) · Journal of Human Genetics · doi:10.1038/s10038-017-0382-y · Cited by 11 · see citing works
Epigenetic Drugs for Mood Disorders
Peedicayil, J., & Kumar, A. (2018) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2018.01.005 · Cited by 8 · see citing works
Xiong, Z., Zhang, X., Zhang, M., & Cao, B. (2020) · International Conference on Machine Learning, Big Data and Business Intelligence (MLBDBI) · doi:10.1109/mlbdbi51377.2020.00019 · Cited by 5 · see citing works
RPS6KA5 methylation predict response to 6-week treatment for adolescent MDD patients
Xu, P., Tao, Y., Zhang, H., Jin, M., Xu, H., Zou, S., Deng, F., Huang, L., Zhang, H., Wang, X., et al. (2022) · BMC Psychiatry · doi:10.1186/s12888-022-04196-4 · Cited by 5 · see citing works
Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods
Lei, C., Chen, Z., Ma, C., Xie, L., Wu, D., Chen, J., & Chen, J. (2026) · Chinese Medicine · doi:10.1186/s13020-025-01320-w · Cited by 5 · see citing works
Temporal and regulatory dynamics of the inner ear transcriptome during development in mice
Cao, R. F., Takechi, M., Wang, X., Furutera, T., Nojiri, T., Koyabu, D. B., & Li, J. (2022) · Scientific Reports · doi:10.1038/s41598-022-25808-9 · Cited by 3 · see citing works
Hanson, T., Spencer, S., Harker, S. A., Barry, F., Burton, P., Beauchemin, J., Mennenga, S. E., Braden, B. B., D’Sa, V. A., Koinis‐Mitchell, D., et al. (2024) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2024.100421 · Cited by 3 · see citing works
Challenges in Analyzing Functional Epigenetic Data in Perspective of Adolescent Psychiatric Health
Manu, D. M., Mwinyi, J., & Schiöth, H. B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23105856 · Cited by 2 · see citing works
Self-citationZhao, T., Li, H., Jia, Y., Xia, N., Li, X., & Zhang, H. (2025) · Metabolic Brain Disease · doi:10.1007/s11011-025-01637-3 · Cited by 2 · see citing works
Yonezawa, M., Yoshida, Y., & Takikawa, Y. (2020) · doi:10.24750/iwateishi.72.2_59 · Cited by 2 · see citing works
Non-coding RNAs and psychiatric disorders
Peedicayil, J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823577-5.00003-9 · Cited by 2 · see citing works
Vito, R. D., Grabski, I. N., Aguiar, D., Schneper, L. M., Verma, A., Fernandez, J. C., Mitchell, C. M., Bell, J. T., McLanahan, S., Notterman, D. A., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.20.444959 · Cited by 2 · see citing works
Epigenetics, stress, and depression
Lockwood, L. E., Su, S., & Youssef, N. A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-823039-8.00004-6 · Cited by 1 · see citing works
Francis, A., & Dwivedi, Y. (2026) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.70090 · Cited by 1 · see citing works
Yaşar, A. B., & Gündüz, A. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1748511 · Cited by 1 · see citing works
Epigenetics of major depressive disorder
Braun, P., & Potash, J. (2021) · Epigenetics in Psychiatry · doi:10.1016/b978-0-12-823577-5.00002-7
Qureshi, A. A. (2024) · Journal of Clinical Surgery and Research · doi:10.31579/2768-2757/118
Epigenetics and pharmacoepigenetics of neuropsychiatric disorders
Cacabelos, R., Cacabelos, N., Iglesias, O.-M., Tellado, I., & Naidoo, V. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-18722-3.00020-7
Xu, P., Tao, Y., Zhang, H., Jin, M., Xu, H., Zou, S., Deng, F., Huang, L., Zhang, H., Wang, X., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20521544
Xu, P., Tao, Y., Zhang, H., Jin, M., Xu, H., Zou, S., Deng, F., Huang, L., Zhang, H., Wang, X., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20521538
Xu, P., Tao, Y., Zhang, H., Jin, M., Xu, H., Zou, S., Deng, F., Huang, L., Zhang, H., Wang, X., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20521541
- Authors
- Boström, A. E., Ciuculete, D.-M., Attwood, M., Krattinger, R., Nikontovic, L., Titova, O. E., Kullak-Ublick, G. A., Mwinyi, J., & Schiöth, H. B.
- Affiliations
- Uppsala University (SE)
- University of Zurich (CH)
- Corresponding author
- Boström, Adrian E.
- ORCID
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 220
- Pages
- 117-128
- ISSN
- 0165-0327 (ISSN-L)
- OpenAlex
- W2615870196
- Cited by
- 33
- References
- 82
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 2 · 2023: 1 · 2022: 7 · 2021: 7 · 2020: 3 · 2019: 5 · 2018: 3
- FWCI
- 1.23
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Affective Disorders (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, cc-by-nc-nd)
- Uppsala University Publications (Uppsala University) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by-nc-nd)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- Latvian Council of Science
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- adolescent depression, DNA methylation, promoter hypomethylation, CpG sites, methylome-wide association study, postmortem brain, fatty acid elongation, omega-3 fatty acids, gene expression regulation
- MeSH terms
- Fatty Acid Elongases, Acetyltransferases, Adolescent, Depressive Disorder, Female, Humans, Male, Cohort Studies, Fatty Acids, Omega-3, Gene Expression, CpG Islands, DNA Methylation, MicroRNAs, Epigenesis, Genetic, Genome-Wide Association Study, Epigenomics, Real-Time Polymerase Chain Reaction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
