Provided herein is a method of assessing the susceptibility of a subject to, or aiding the diagnosis of, an anxiety disorder or depression, the method including determining whether the subject has a haplotype including rs3216799, rs6814934, rs7658048, rs2070950 and rs2070951 with respective alleles +CT, C, T, C and C. Also provided is a kit of parts or solid substrate for use in assessing the susceptibility of a subject to an anxiety disorder or depression, the kit including or the solid substrate having attached thereto one or more nucleic acid molecules that hybridize selectively to a genomic region encompassing any two or more SNPs selected from the group consisting of rs3216799, rs6814934, rs7658048, rs2070950 and rs2070951, and/or that hybridize selectively to a genomic region encompassing two or more polymorphic sites in linkage disequilibrium with any one or more SNPs selected from rs3216799, rs6814934, rs7658048, rs2070950 and rs2070951.

The present invention relates to the field of biomarkers. More specifically, the present invention relates to the use of biomarkers to predict post-traumatic stress disorder (PTSD). In one embodiment, a method for predicting PTSD in a subject comprises the steps of (a) measuring the DNA methylation level of a CpG dinucleotide in the 3 untranslated region of SKA2; (b) identifying the genotype at a SNP within the 3 UTR of SKA2, and (c) predicting PTSD in the subject using a prediction algorithm.

The present invention relates to the field of biomarkers. More specifically, the present invention relates to the use of biomarkers to predict post-traumatic stress disorder (PTSD). In one embodiment, a method for predicting PTSD in a subject comprises the steps of (a) measuring the DNA methylation level of a CpG dinucleotide in the 3 untranslated region of SKA2; (b) identifying the genotype at a SNP within the 3 UTR of SKA2, and (c) predicting PTSD in the subject using a prediction algorithm.