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©The Author(s) 2021.
World J Psychiatr. Oct 19, 2021; 11(10): 774-790
Published online Oct 19, 2021. doi: 10.5498/wjp.v11.i10.774
Published online Oct 19, 2021. doi: 10.5498/wjp.v11.i10.774
Type of -omic | Tissue | Number of samples | Main results | Ref. |
Illumina Infinium PsychArray platform v 1.0 (approximately 555000 markers) | Blood | 216 suicide cases from extended families | SP110 (rs181058279), AGBL2 (rs76215382), SUCLA2 (rs121908538), APH1B (rs745918508) | Coon et al[25], 2020 |
llumina Omni1-Quad Beadchip (1014770 markers) | Not stated | 577 suicide attempters and suicides, 1233 non-attempter psychiatric and healthy controls | SNPs in STK3, ADAMTS14, PSME2, and TBX20 genes | Galfalvy et al[26], 2015 |
Affimetrix GeneChip Mapping 50K Xba Array (58900 markers) | Brain tissue | 68 suicides, 31 non-suicide deaths | 58 SNPs in or near 19 known genes | Galfalvy et al[27], 2013 |
Illumina HumanOmniExpress (733202 markers) and HumanOmniExpressExome BeadChips (273000 markers) | Not stated | Approximately 746 suicides and 14049 non-suicide controls | No genome-wide significant SNP; GTF2IRD1 locus suggested as associated with age at completed suicide | Otsuka et al[28], 2019 |
Affymetrix United Kingdom BiLEVE Axiom (807411 markers) or the Affymetrix United Kingdom Biobank Axiom (825927 markers) arrays | Blood | > 500000 subjects of different suicide phenotypes and non-suicidal controls | Significant loci for suicidality on chromosomes 9 (ZCCHC7), 11 (CNTN5) and 13 (rs7989250); genetic correlations between suicidality and depression | Strawbridge et al[31], 2019 |
Illumina Infinium PsychArray platform (593260 markers), Illumina HumanOmniExpress (733202 markers) and HumanOmniExpressExome BeadChips (273000 markers) | Blood | 3413 suicides, 14810 controls | Two genome-wide significant loci involving six SNPs: rs34399104, rs35518298, rs34053895, rs66828456, rs35502061, and rs35256367. Additional 52 variants (mapping to 22 genes) with nominal significance | Docherty et al[29], 2020 |
Type of -omic | Tissue | Number of samples | Main results | Ref. |
Agilent 400K promoter tiling microarrays | Dentate gyrus | 46 suicide completers and 16 comparison subjects | Significantly differential methylation of 366 promoters in suicide victims (273 hypermethylated and 93 hypomethylated) | Labonté et al[35], 2013 |
Illumina Infinium Human Methylation 27 BeadChip | Orbitoprefrontal cortex | 25 depressed suicide cases and 28 non-psychiatric sudden death controls | Significantly increased DNA methylation in suicide victims | Haghighi et al[36], 2014 |
Illumina Human Methylation 450 BeadChip | Prefrontal cortex | 23 suicide and 35 non-suicide | Significant altered methylation at four CpGs (ATP8A1, SKA2, LOC153328 and KCNAB2 in suicide victims | Guintivano et al[37], 2014 |
Illumina Human Methylation 450 BeadChip | Prefrontal cortex | Six suicide, six non-suicide | Significantly decreased level of methylation in suicide victims | Schneider et al[38], 2015 |
Illumina 450 K Infinium microarray | Prefrontal cortex | 22 suicide completers and 28 control subjects | Significantly differential methylation of 454 CpGs in suicide completers | Kozlenkov et al[47], 2017 |
Methylation binding domain-2 (MBD2) sequencing | Prefrontal cortex | 22 suicide cases and 17 controls | Significantly decreased methylation in suicide victims, with 115 differentially methylated regions | Nagy et al[39], 2015 |
Reduced-representation bisulphite sequencing | Prefrontal cortex and hippocampus | Nine suicide victims and nine controls | Significantly decreased methylation of 63 and 2406 CpGs and increased methylation of 43 and 328 CpGs in prefrontal cortex and hippocampus, respectively | Kouter et al[40], 2019 |
Illumina Infinium Human Methylation 450K BeadChip | Prefrontal cortex | 21 suicides and six non-suicides | Significant correlation of 22 CpGs with gene expression in suicide victims | Cabrera-Mendoza et al[41], 2020 |
Type of -omic | Tissue | Number of samples | Main results | Ref. |
U133A Oligonucleotide DNA Microarrays | Prefrontal cortex | 19 depressed–suicide victims and 19 controls | No significant results | Sibille et al[105], 2004 |
Illumina Sentrix HumanRef-8 Expression BeadChips | Orbitofrontal cortex | 11 suicide victims and ten controls | Significant downregulation of 59 genes and upregulation of 65 genes in suicide victims | Thalmeier et al[51], 2008 |
Human Genome U133 Set (HG-U133 A and B) microarray | Prefrontal cortex | 16 depressed suicides, eight non suicides and 13 controls | Significantly altered expression of 267 genes, associated with cell cycle control and cell division, myelination, ATP biosynthesis and GABAergic neurotransmission in suicide victims | Klempan et al[53], 2009 |
HG-U133AB chipset | 17 brain areas (amygdala, hippocampus, nucleus accumbens and 14 Brodmann areas) | 26 suicide cases and 13 controls | Altogether over 4000 differentially expressed genes, association with cell communication and synaptic transmission in suicide victims | Sequeira et al[55], 2009 |
RNA-seq | Prefrontal cortex | 21 major depressive disorder suicides, 9 MDD non-suicides and 29 controls | Significantly altered expression of 35 genes in suicide victims, association with microglial and immune system functions, and angiogenesis | Pantazatos et al[54], 2017 |
RNA-seq | Hippocampus | 17 MDD suicide victims and 23 control subjects | Significant change in expression of 26 genes in depressed suicide victims, association with inflammation and chromatin regulation | Mahajan et al[56], 2018 |
RNA-seqc | Insula | 52 mood disorder suicide victims and 45 non-mood disorder controls | Significant downregulation of 20 genes associated with inflammation response, protein- protein interaction, neurodegeneration, neurodevelopmental and upregulation of 5 genes, associated with intracellular protein transport, inflammation, apoptosis regulation and embryonic development in mood disorder suicide victims | Jabbi et al[52], 2020 |
RNA-seq | Prefrontal cortex | 17 depressed suicide victims and 17 controls | Significant change in cell-type specific expression in depressed suicide victims | Nagy et al[60], 2020 |
TLDA based miRNA profiler | Prefrontal cortex | 18 antidepressant-free MDD suicide victims and 17 controls | Significant downregulation of 21 miRNAs in suicide victims, miRNAs associated with nuclear proteins, transmembrane and signalling proteins | Smalheiser et al[106], 2012 |
LNA-based miRNA profiler | Prefrontal cortex | Four suicide victims and 4 controls | Significant upregulation of a single miRNA, targeting TrkB-T1, observed in low TrkB-T1 expression suicide victims | Maussion et al[107], 2012 |
TLDA-based miRNA profiler | Prefrontal cortex | 18 suicide victims and 40 control subjects (all mood disorder) | Significant downregulation of 6 miRNAs and upregulation of 2 miRNAs in suicide victims | Smalheiser et al[57], 2014 |
Small RNA-seq | Prefrontal cortex | Nine suicide victims with depression, nine suicide victims and nine controls | No significant results | Pantazatos et al[54], 2017 |
TLDA-based miRNA profiler | Locus coeruleus | Nine suicide victims with depression and 11 controls | Significant upregulation of 10 miRNAs and downregulation of 3 miRNAs in suicide victims. Identified miRNAs are targeting multiple genes that were previously associated with psychiatric disorders | Roy et al[58], 2017 |
Type of -omic | Tissue | Number of samples | Main results | Ref. |
2D gel electrophoresis | Cerebrospinal fluid | Seven suicide attempter and seven non-attempters | Significantly altered level of a single protein in suicide attempters. Due to limited amount of material the protein could not be identified | Brunner et al[68], 2005 |
2D gel electrophoresis and MALDI TOF MS | Prefrontal cortex | 17 suicide victims and 9 controls | Significantly altered levels of three protein: An isoform of the common astroglia marker glial fibrillary acidic protein (GFAP), manganese superoxide dismutase (SOD2) and α crystallin chain B (CRYAB) | Schlicht et al[64], 2007 |
DIGE qTOF tandem MS | Prefrontal cortex and amygdala | Six suicide victims and six controls | 59 significantly altered protein levels in the cortex and 11 significantly altered proteins in the amygdala. Level of nine proteins were significantly altered in both brain regions, but with varying direction of change (either increased or decreased in suicide victims), suggesting the global change in the brain, yet highlighting the importance of tissue specificity | Kékesi et al[65], 2012 |
2D gel electrophoresis and-MALDI-TOF MS | Plasma | 12 suicide attempters, 12 MDD patients and 12 controls | Significant change in 45 protein, enabling the differentiation between MDD patients exhibiting suicidal behaviour and non-suicidal MDD patients | Yang et al[70], 2016 |
HPLC and Ion Trap MS | Cerebrospinal fluid | Two suicide victims and two controls | 69 proteins with significant change in suicide victims, association with dysregulation of glucose metabolism and oxidative stress response. | Semancikova et al[69], 2018 |
2D-gel electrophoresis and MALDI MS | Plasma | 10 self-harm subjects and 18 controls | Downregulation of apolipoprotein A-IV (Apo A-IV) in deliberate self-harm subjects. | Mathew et al[71], 2019 |
Liquid chromatography and tandem MS | Cerebellum | Four suicide victims and four controls | 99 significantly altered proteins in schizophrenia suicide victims, association with transport function and cell communication. Vacuolar-type proton pump ATPase (VPP1) further validated and associated with suicidal behaviour. | Vidal-Domènech et al[67], 2020 |
ESI-MS/MS | Dorsolateral prefrontal cortex | Five suicide victims and five controls | 33 proteins with significant change in expression (24 decreased and nine increased in the suicide group). Biggest change observed in reduction in protein coded by KCNQ3 (potassium voltage-gated channel subfamily Q member 3) in mood disorder suicide victims. | Cabello-Arreola et al[66], 2020 |
- Citation: Kouter K, Videtic Paska A. ‘Omics’ of suicidal behaviour: A path to personalised psychiatry. World J Psychiatr 2021; 11(10): 774-790
- URL: https://www.wjgnet.com/2220-3206/full/v11/i10/774.htm
- DOI: https://dx.doi.org/10.5498/wjp.v11.i10.774