P. Y. Collins, Grand challenges in global mental health, Nature, vol.475, pp.27-30, 2011.

F. M. Gore, Global burden of disease in young people aged 10-24 years: A systematic analysis, Lancet, vol.377, pp.2093-2102, 2011.

G. M. Goodwin, Evidence-based guidelines for treating bipolar disorder: Revised third edition recommendations from the British Association for Psychopharmacology, J. Psychopharmacol, vol.30, pp.495-553, 2016.

A. Cipriani, Comparative efficacy and acceptability of antimanic drugs in acute mania: A multiple-treatments meta-analysis, Lancet, vol.378, pp.1306-1315, 2011.

T. Miura, Comparative efficacy and tolerability of pharmacological treatments in the maintenance treatment of bipolar disorder: A systematic review and network meta-analysis, Lancet Psychiatry, vol.1, pp.351-359, 2014.

E. Severus, Lithium for prevention of mood episodes in bipolar disorders: Systematic review and meta-analysis, Int. J. Bipolar Disord, vol.2, p.15, 2014.

, Scientific RepoRtS |, vol.10, p.12239, 2020.

P. A. Geoffroy, F. Bellivier, M. Leboyer, and B. Etain, Can the response to mood stabilizers be predicted in bipolar disorder?, Front. Biosci. (Elite Ed), vol.6, pp.120-138, 2014.
URL : https://hal.archives-ouvertes.fr/inserm-00950859

M. Manchia, Assessment of response to lithium maintenance treatment in bipolar disorder: A consortium on lithium genetics (ConLiGen) report, PLoS ONE, vol.8, p.65636, 2013.
URL : https://hal.archives-ouvertes.fr/inserm-00864640

R. J. Baldessarini and L. Tondo, Does lithium treatment still work? Evidence of stable responses over three decades, Arch. Gen. Psychiatry, vol.57, pp.187-190, 2000.

J. Garnham, Prophylactic treatment response in bipolar disorder: results of a naturalistic observation study, J. Affect. Disord, vol.104, pp.185-190, 2007.

S. Sportiche, Clinical factors associated with lithium response in bipolar disorders, Aust. N. Z. J. Psychiatry, vol.51, pp.524-530, 2017.

T. P. Hui, A systematic review and meta-analysis of clinical predictors of lithium response in bipolar disorder, Acta Psychiatr. Scand, vol.140, pp.94-115, 2019.

G. R. Fries, The role of DNA methylation in the pathophysiology and treatment of bipolar disorder, Neurosci. Biobehav. Rev, vol.68, pp.474-488, 2016.

C. Pisanu, T. Katsila, G. P. Patrinos, and A. Squassina, Recent trends on the role of epigenomics, metabolomics and noncoding RNAs in rationalizing mood stabilizing treatment, Pharmacogenomics, vol.19, pp.129-143, 2018.

A. A. Huzayyin, Decreased global methylation in patients with bipolar disorder who respond to lithium, Int. J. Neuropsychopharmacol, vol.17, pp.561-569, 2014.

L. Backlund, Mood stabilizers and the influence on global leukocyte DNA methylation in bipolar disorder, Mol. Neuropsychiatry, vol.1, pp.76-81, 2015.

B. Dellosso, Epigenetic modulation of BDNF gene: Differences in DNA methylation between unipolar and bipolar patients, J. Affect. Disord, 2014.

C. D'-addario, Selective DNA methylation of BDNF promoter in bipolar disorder: Differences among patients with BDI and BDII, Neuropsychopharmacology, vol.37, pp.1647-1655, 2012.

C. D'-addario, Regulation of gene transcription in bipolar disorders: Role of DNA methylation in the relationship between prodynorphin and brain derived neurotrophic factor, Prog. Neuropsychopharmacol. Biol. Psychiatry, vol.82, pp.314-321, 2018.

T. Asai, Effect of mood stabilizers on DNA methylation in human neuroblastoma cells, Int. J. Neuropsychopharmacol, vol.16, pp.2285-2294, 2013.

L. C. Houtepen, A. H. Van-bergen, C. H. Vinkers, and M. P. Boks, DNA methylation signatures of mood stabilizers and antipsychotics in bipolar disorder, Epigenomics, vol.8, pp.197-208, 2016.

F. Marmol, Lithium: bipolar disorder and neurodegenerative diseases Possible cellular mechanisms of the therapeutic effects of lithium, Prog. Neuropsychopharmacol. Biol. Psychiatry, vol.32, pp.1761-1771, 2008.

M. K. Rowe and D. Chuang, Lithium neuroprotection: molecular mechanisms and clinical implications, Expert Rev. Mol. Med, vol.6, pp.1-18, 2004.

T. Dwivedi and H. Zhang, Lithium-induced neuroprotection is associated with epigenetic modification of specific BDNF gene promoter and altered expression of apoptotic-regulatory proteins, Front. Neurosci, vol.8, p.457, 2014.

L. Maor, G. Yearim, A. Ast, and G. , The alternative role of DNA methylation in splicing regulation, Trends Genet, vol.31, pp.274-280, 2015.

L. Wen and F. Tang, Genomic distribution and possible functions of DNA hydroxymethylation in the brain, Genomics, vol.104, pp.341-346, 2014.

X. Yang, Gene body methylation can alter gene expression and is a therapeutic target in cancer, Cancer Cell, vol.26, pp.577-590, 2014.

N. C. Wortham and C. G. Proud, eIF2B: Recent structural and functional insights into a key regulator of translation, Biochem. Soc. Trans, vol.43, pp.1234-1240, 2015.

F. Bosetti, R. Seemann, and S. I. Rapoport, Chronic lithium chloride administration to rats decreases brain protein level of epsilon (?) subunit of eukaryotic initiation factor-2B, Neurosci. Lett, vol.327, pp.71-73, 2002.

M. Terumitsu-tsujita, Glial pathology in a novel spontaneous mutant mouse of the Eif2b5 gene: A vanishing white matter disease model, J. Neurochem, 2019.

R. Lin and G. Turecki, Noncoding RNAs in depression, Adv. Exp. Med. Biol, vol.978, pp.197-210, 2017.

X. Cui, Long non-coding RNA: Potential diagnostic and therapeutic biomarker for major depressive disorder, Med. Sci. Monit, vol.22, pp.5240-5248, 2016.

L. Zuo, Long noncoding RNAs in psychiatric disorders, Psychiatr. Genet, vol.26, pp.109-116, 2016.

L. Hou, Genetic variants associated with response to lithium treatment in bipolar disorder: A genome-wide association study, Lancet, vol.387, pp.1085-1093, 2016.

I. A. Akkouh, Exploring lithium's transcriptional mechanisms of action in bipolar disorder: a multi-step study, Neuropsychopharmacology, vol.178, pp.1-9, 2019.

K. Shimojima, TULIP1 (RALGAPA1) haploinsufficiency with brain development delay, Genomics, vol.94, pp.414-422, 2009.

D. L. Walker, DNA methylation profiling: comparison of genome-wide sequencing methods and the Infinium Human Methylation 450 Bead Chip, Epigenomics, vol.7, pp.1287-1302, 2015.

Z. Sun, J. Cunningham, S. Slager, and J. Kocher, Base resolution methylome profiling: Considerations in platform selection, data preprocessing and analysis, Epigenomics, vol.7, pp.813-828, 2015.

B. Etain, Childhood trauma and mixed episodes are associated with poor response to lithium in bipolar disorders, Acta Psychiatr. Scand, vol.135, pp.319-327, 2017.

O. Story-jovanova, DNA methylation signatures of depressive symptoms in middle-aged and elderly persons, JAMA Psychiatry, p.1725, 2018.

N. Sadeh, Epigenetic variation at SKA2 predicts suicide phenotypes and internalizing psychopathology, Depress. Anxiety, vol.33, pp.308-315, 2016.

R. D. Edgar, M. J. Jones, M. J. Meaney, G. Turecki, and M. S. Kobor, BECon: a tool for interpreting DNA methylation findings from blood in the context of brain, Transl. Psychiatry, vol.7, pp.1187-1187, 2017.

S. A. Montgomery and M. Asberg, A new depression scale designed to be sensitive to change, Br. J. Psychiatry, vol.134, pp.382-389, 1979.

R. C. Young, J. T. Biggs, V. E. Ziegler, and D. A. Meyer, A rating scale for mania: Reliability, validity and sensitivity, Br. J. Psychiatry, vol.133, pp.429-435, 1978.

J. I. Nurnberger, Diagnostic interview for genetic studies. Rationale, unique features, and training, NIMH Genetics Initiative. Arch. Gen. Psychiatry, vol.51, pp.849-859, 1994.

P. Grof, Is response to prophylactic lithium a familial trait, J. Clin. Psychiatry, vol.63, pp.942-947, 2002.

K. B. Michels and A. M. Binder, Considerations for Design and Analysis of DNA Methylation Studies, pp.31-46, 2018.

J. Wendt, H. Rosenbaum, T. A. Richmond, J. A. Jeddeloh, and D. L. Burgess, Targeted bisulfite sequencing using the SeqCap epi enrichment system, Methods in Molecular Biology 383-405, 2018.

F. Jühling, metilene: fast and sensitive calling of differentially methylated regions from bisulfite sequencing data, Genome Res, vol.26, pp.256-262, 2016.

, Scientific RepoRtS |, vol.10, p.12239, 2020.

E. A. Houseman, DNA methylation arrays as surrogate measures of cell mixture distribution, BMC Bioinform, vol.13, p.86, 2012.

L. E. Reinius, Differential DNA methylation in purified human blood cells: implications for cell lineage and studies on disease susceptibility, PLoS ONE, vol.7, p.41361, 2012.

M. J. Aryee, Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays, Bioinformatics, vol.30, pp.1363-1369, 2014.

A. E. Jaffe and R. A. Irizarry, Accounting for cellular heterogeneity is critical in epigenome-wide association studies, Genome Biol, vol.15, p.31, 2014.

D. W. Huang, B. T. Sherman, and R. A. Lempicki, Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources, Nat. Protoc, vol.4, pp.44-57, 2009.

D. W. Huang, B. T. Sherman, and R. A. Lempicki, Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists, Nucleic Acids Res, vol.37, pp.1-13, 2009.

,. Lê-cao, S. Boitard, and P. Besse, Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems, BMC Bioinform, vol.12, p.253, 2011.