References
- Kafka MP. Hypersexual disorder: a proposed diagnosis for DSM-V. Arch Sex Behav. 2010;39:377–400.
- Kraus SW, Krueger RB, Briken P, et al. Compulsive sexual behaviour disorder in the ICD-11. World Psychiatry. 2018;17:109–110.
- Chatzittofis A, Arver S, Öberg K, et al. HPA axis dysregulation in men with hypersexual disorder. Psychoneuroendocrinology. 2016;63:247–253.
- Jokinen J, Boström AE, Chatzittofis A, et al. Methylation of HPA axis related genes in men with hypersexual disorder. Psychoneuroendocrinology. 2017;80:67–73.
- Kühn S, Gallinat J. Neurobiological basis of hypersexuality. Int Rev Neurobiol. 2016;129:67–83.
- Matsuda KI. Epigenetic changes in the estrogen receptor alpha gene promoter: Implications in sociosexual behaviors. Front Neurosci. 2014;8.
- Wang H, Duclot F, Liu Y, et al. Histone deacetylase inhibitors facilitate partner preference formation in female prairie voles. Nat Neurosci [Internet]. 2013;16(7):919–924. Available from: http://www.ncbi.nlm.nih.gov/pubmed/23727821.
- Zeh JA, Zeh DW. Maternal inheritance, epigenetics and the evolution of polyandry. Genetica. 2008;134:45–54.
- Han L, Witmer PD, Casey E, et al. DNA methylation regulates microRNA expression. Cancer Biol Ther. 2007;6(8):1284–1288.
- He X-X, Kuang S-Z, Liao J-Z, et al. The regulation of microRNA expression by DNA methylation in hepatocellular carcinoma. Mol Biosyst [Internet]. 2015;11(2):532–539. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25424171.
- Menke A, Binder EB. Epigenetic alterations in depression and antidepressant treatment. Dialogues Clin Neurosci. 2014;16(3):395–404.
- Kaminsky Z, Jones I, Verma R, et al. DNA methylation and expression of KCNQ3 in bipolar disorder. Bipolar Disord. 2015;17(2):150–159.
- Mill J, Tang T, Kaminsky Z, et al. Epigenomic profiling reveals DNA-methylation changes associated with major psychosis. Am J Hum Genet. 2008;82(3):696–711.
- Mehta D, Klengel T, Conneely KN, et al. Childhood maltreatment is associated with distinct genomic and epigenetic profiles in posttraumatic stress disorder. Proc Natl Acad Sci. 2013;110(20):8302–8307.
- Ma DK, Jang M, Guo JU, et al. Neuronal activity-induced Gadd45b promotes epigenetic DNA demethylation and adult neurogenesis. Science. 2009;323:1074–1077.
- Coskun V, Tsoa R, Sun YE. Epigenetic regulation of stem cells differentiating along the neural lineage. Curr Opin Neurobiol. 2012;22:762–767.
- Fan H, Sun X, Guo W, et al. Differential expression of microRNA in peripheral blood mononuclear cells as specific biomarker for major depressive disorder patients. J Psychiatr Res [Internet]. 2014;59:45–52. Available from: http://www.sciencedirect.com/science/article/pii/S002239561400243X.
- Issler O, Haramati S, Paul ED, et al. MicroRNA 135 is essential for chronic stress resiliency, antidepressant efficacy, and intact serotonergic activity. Neuron. 2014;83(2):344–360.
- Issler O, Chen A. Determining the role of microRNAs in psychiatric disorders. Nat Rev Neurosci [Internet]. 2015;16(4):201–212. Available from: http://www.ncbi.nlm.nih.gov/pubmed/25790865.
- Friedman RC, Farh KKH, Burge CB, et al. Most mammalian mRNAs are conserved targets of microRNAs. Genome Res. 2009;19(1):92–105.
- Cortez MA, Bueso-Ramos C, Ferdin J, et al. MicroRNAs in body fluids–the mix of hormones and biomarkers. Nat Rev Clin Oncol [Internet]. 2011;8(8):467–477. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3423224&tool=pmcentrez&rendertype=abstract.
- Lakhal S, Wood MJ. Exosome nanotechnology - An emerging paradigm shift in drug delivery. BioEssays. 2011;33(10):737–741.
- Maffioletti E, Tardito D, Gennarelli M, et al. Micro spies from the brain to the periphery: new clues from studies on microRNAs in neuropsychiatric disorders. Front Cell Neurosci [Internet]. 2014;8(March):75. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3949217&tool=pmcentrez&rendertype=abstract.
- Sheehan DV, Lecrubier Y, Sheehan KH, et al. The mini-international neuropsychiatric interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998;59 Suppl 20:22–33.
- Parsons JT, Rendina HJ, Ventuneac A, et al. A psychometric investigation of the hypersexual disorder screening inventory among highly sexually active gay and bisexual men: an item response theory analysis. J Sex Med. 2013;10:3088–3101.
- Kalichman SC, Rompa D. Sexual sensation seeking and Sexual Compulsivity Scales: reliability, validity, and predicting HIV risk behavior. J Pers Assess. 1995;65:586–601.
- Svanborg P, Åsberg M. A comparison between the beck depression inventory (BDI) and the self-rating version of the montgomery åsberg depression rating scale (MADRS). J Affect Disord. 2001;64(2–3):203–216.
- Bernstein D, Fink L. Manual for the childhood trauma questionnaire. Psychol Corp. 1998.
- Sambrook J, Fritsch EF, Maniatis T. Molecular Cloning A Laboratory Manual Second Edition Vols. 1 2 and 3. Cold Spring Harbor Lab Press. 1989.
- Aryee MJ, Jaffe AE, Corrada-Bravo H, et al. Minfi: A flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics. 2014;30(10):1363–1369.
- Pidsley R, Y Wong CC, Volta M, et al. A data-driven approach to preprocessing Illumina 450K methylation array data. BMC Genomics. 2013;14:293.
- Leek JT, Johnson WE, Parker HS, et al. The SVA package for removing batch effects and other unwanted variation in high-throughput experiments. Bioinformatics. 2012;28(6):882–883.
- Morris TJ, Butcher LM, Feber A, et al. ChAMP: 450k chip analysis methylation pipeline. Bioinformatics. 2014;30(3):428–430.
- Lê S, Josse J, Mazet F. Package ‘ FactoMineR. J Stat Softw [Internet]. 2008;25(1):1–18. Available from: http://www.jstatsoft.org/v25/i01/.
- Pidsley R, Zotenko E, Peters TJ, et al. Critical evaluation of the illumina methylationEPIC BeadChip microarray for whole-genome DNA methylation profiling. Genome Biol [Internet]. 2016;17(1):208. Available from:: http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-1066-1.
- Price ME, Cotton AM, Lam LL, et al. Additional annotation enhances potential for biologically-relevant analysis of the illumina infinium humanMethylation450 beadChip array. Epigenetics Chromatin [Internet]. 2013;6(1):4. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3740789&tool=pmcentrez&rendertype=abstract.
- Kilaru V, Iyer SV, Almli LM, et al. Genome-wide gene-based analysis suggests an association between Neuroligin 1 (NLGN1) and post-traumatic stress disorder. Transl Psychiatry [Internet]. 2016;6(5):e820. Available from: http://www.nature.com/doifinder/10.1038/tp.2016.69%5Cnhttp://www.ncbi.nlm.nih.gov/pubmed/27219346.
- Tang YL, Khoury L, Bradley B, et al. Substance use disorders assessed using the Kreek-McHugh-Schluger-Kellogg (KMSK) scale in an urban low-income and predominantly African American sample of primary care patients. Am J Addict. 2011;20(3):292–299.
- Smyth GK. Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol [Internet]. 2004;3:Article3. Available from:: http://www.ncbi.nlm.nih.gov/pubmed/16646809.
- Rask-Andersen M, Bringeland N, Nilsson EK, et al. Postprandial alterations in whole-blood DNA methylation are mediated by changes in white blood cell composition. Am J Clin Nutr. 2016;104(2):518–525.
- Du P, Zhang X, Huang -C-C, et al. Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis. BMC Bioinformatics [Internet]. 2010;11(1):587. Available from:: http://www.biomedcentral.com/1471-2105/11/587.
- Chen JJ, Roberson PK, Schell MJ. The false discovery rate: A key concept in large-scale genetic studies. Cancer Control. 2010;17:58–62.
- van Iterson M, van Zwet EW, Heijmans BT, et al. Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution. Genome Biol. 2017;18.
- Zhang Y, Jenkins DF, Manimaran S, et al. Alternative empirical Bayes models for adjusting for batch effects in genomic studies. BMC Bioinformatics. 2018;19.
- Kozomara A, Griffiths-Jones S. MiRBase: Annotating high confidence microRNAs using deep sequencing data. Nucleic Acids Res. 2014;42(D1):D68-D73.
- Coronnello C, Benos PV. ComiR: Combinatorial microRNA target prediction tool. Nucleic Acids Res. 2013;41(WebServer issue):W159-W164.
- Maffioletti E, Cattaneo A, Rosso G, et al. Peripheral whole blood microRNA alterations in major depression and bipolar disorder. J Affect Disord. 2016;200:250–258.
- Huang DW, Sherman BT, Tan Q, et al. The DAVID gene functional classification tool: a novel biological module-centric algorithm to functionally analyze large gene lists. Genome Biol [Internet]. 2007;8(9):R183. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2375021&tool=pmcentrez&rendertype=abstract.
- Kamburov A, Stelzl U, Lehrach H, et al. The consensusPathDB interaction database: 2013 update. Nucleic Acids Res. 2013;41(D1):D793-D800.
- Warnes GR, Bolker B, Bonebakker L, et al. Gplots: various r programming tools for plotting data. [Internet]. R package version 2.17.0. 2015. p. 2015. Available from: http://cran.r-project.org/package=gplots
- Korf I, Yandell M, Bedell J BLAST/Ian Korf, Mark Yandell and Joseph Bedell; [foreword by Stephen Atschul]. An essential guide to the Basic Local Alignment Search Tool. 2003.
- Yates A, Akanni W, Amode MR, et al. Ensembl 2016. Nucleic Acids Res. 2016;44(D1):D710–6.
- Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: Improvements in performance and usability. Mol Biol Evol. 2013;30(4):772–780.
- Waterhouse AM, Procter JB, Martin DMA, et al. Jalview version 2: a multiple sequence alignment and analysis workbench. Bioinformatics [Internet]. 2009;25(9):1189–1191. Available from: http://bioinformatics.oxfordjournals.org/content/25/9/1189.full%5Cnpapers3://publication/doi/10.1093/bioinformatics/btp033.
- Letunic I, Bork P. Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res [ [Internet]]. 2016;gkw290. Available from: http://nar.oxfordjournals.org/content/early/2016/04/19/nar.gkw290.abstract
- O’Leary NA, Wright MW, Brister JR, et al. Reference sequence (RefSeq) database at NCBI: Current status, taxonomic expansion, and functional annotation. Nucleic Acids Res. 2016;44(D1):D733–45.
- Kent WJ, Sugnet CW, Furey TS, et al. The human genome browser at UCSC. Genome Res [Internet]. 2002;12(6):996–1006. Available from: http://www.ncbi.nlm.nih.gov/pubmed/186604%5Cnhttp://www.genome.org/cgi/doi/10.1101/gr.229102.
- Boratyn GM, Camacho C, Cooper PS, et al. BLAST: a more efficient report with usability improvements. Nucleic Acids Res. 2013;41(WebServer issue):W29–33.
- Yang H-P, Wang L, Han L, et al. Nonsocial functions of hypothalamic oxytocin. ISRN Neurosci [Internet]. 2013;2013:179272. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4045544&tool=pmcentrez&rendertype=abstract%5Cnhttp://www.ncbi.nlm.nih.gov/pubmed/24967304%5Cnhttp://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC4045544.
- Murphy MR, Seckl JR, Burton S, et al. Changes in oxytocin and vasopressin secretion during sexual activity in men. J Clin Endocrinol Metab. 1987;65(4):738–741.
- Burri A, Heinrichs M, Schedlowski M, et al. The acute effects of intranasal oxytocin administration on endocrine and sexual function in males. Psychoneuroendocrinology. 2008;33(5):591–600.
- Jurek B, Slattery DA, Hiraoka Y, et al. Oxytocin regulates stress-induced Crf gene transcription through CREB-regulated transcription coactivator 3. J Neurosci [Internet]. 2015;35(35):12248–12260. Available from: http://www.ncbi.nlm.nih.gov/pubmed/26338335%5Cnhttp://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=PMC4556790%5Cnhttp://www.jneurosci.org/content/35/35/12248.full.
- Marazziti D, Baroni S, Giannaccini G, et al. Plasma oxytocin levels in untreated adult obsessive-compulsive disorder patients. Neuropsychobiology. 2015;72(2):74–80.
- Buisman-Pijlman FTA, Sumracki NM, Gordon JJ, et al. Individual differences underlying susceptibility to addiction: Role for the endogenous oxytocin system. Pharmacol Biochem Behav. 2014;119:22–38.
- Johansson A, Westberg L, Sandnabba K, et al. Associations between oxytocin receptor gene (OXTR) polymorphisms and self-reported aggressive behavior and anger: Interactions with alcohol consumption. Psychoneuroendocrinology. 2012;37(9):1546–1556.
- Brüne M. On the role of oxytocin in borderline personality disorder. Br J Clin Psychol. 2016;55(3):287–304.
- Perlis RH, Laje G, Smoller JW, et al. Genetic and clinical predictors of sexual dysfunction in citalopram-treated depressed patients. Neuropsychopharmacology [Internet]. 2009;34(7):1819–1828. Available from: http://www.ncbi.nlm.nih.gov/pubmed/19295509.
- Mani SK, Blaustein JD. Neural progestin receptors and female sexual behavior. Neuroendocrinology. 2012;96(2):152–161.
- Imai T, Suzuki M, Sakano H. Odorant receptor-derived cAMP signals direct axonal targeting. Science [Internet]. 2006;314(5799):657–661. Available from: http://www.ncbi.nlm.nih.gov/pubmed/16990513.
- Biellmann F, Henion TR, Bürki K, et al. Impaired sexual behavior in male mice deficient for the beta1-3 N-acetylglucosaminyltransferase-I gene. Mol Reprod Dev. 2008;75(5):699–706.
- Leenen FAD, Muller CP, Turner JD. DNA methylation: conducting the orchestra from exposure to phenotype? Clin Epigenetics [Internet]. 2016;8(1):92. Available from: http://clinicalepigeneticsjournal.biomedcentral.com/articles/10.1186/s13148-016-0256-8.