Johns Hopkins University

University System of Maryland

Umc Utrecht Holding B.v.

Zachary Kaminsky

Marco Paul Maria Boks

Jennifer L Payne

Holly Wilcox

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&#x2032; UTR of SKA2, and (c) predicting PTSD in the subject using a prediction algorithm.

DNA methylation and genotype specific biomarker for predicting post-traumatic stress disorder

The present invention relates to the field of post-partum depression. More specifically, the present invention relates to the use of biomarkers to diagnose post-partum depression or predict a risk thereof. In a specific embodiment, a method for identifying a likelihood of PPD in a patient comprises the steps of (a) providing a sample from the patient; (b) measuring white blood cell type counts and DNA methylation levels of a panel of biomarkers in the sample collected from the patient, wherein the panel of biomarkers comprises HP1BP3 and TTC9B and the white blood cell type counts comprise monocytes and non-monocytes; and (c) identifying the patient as likely to develop PPD based on the relative DNA methylation levels at the biomarker loci relative to the ratio of monocytes:non-monocytes.

DNA methylation biomarkers of post-partum depression risk

The present invention relates to the field of biomarkers. More specifically, the present invention relates to the use of biomarkers to predict suicide ideation and/or suicide attempt. In one embodiment, a method for predicting suicide ideation and/or attempt by 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&#x2032; UTR of SKA2, and (c) predicting suicide ideation and/or attempt by the subject using a prediction algorithm.

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Baltimore, MD, United States of America

Zachary Kaminsky