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      Multidimensional Analysis of Major Depression: Association Between BDNF Methylation, Psychosocial and Cognitive Domains

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          Abstract

          Major Depression is a complex disorder with a growing incidence worldwide and multiple variables have been associated with its etiology. Nonetheless, its diagnosis is continually changing and the need to understand it from a multidimensional perspective is clear. The purpose of this study was to identify risk factors for depression in a case-control study with 100 depressive inpatients and 87 healthy controls. A multivariate logistic regression analysis was performed including psychosocial factors, cognitive maladaptive schema domains, and specific epigenetic marks (BDNF methylation levels at five CpG sites in promoter IV). A family history of depression, the cognitive schemas of impaired autonomy/performance, impaired limits, other-directedness, and the methylation level of a specific CpG site were identified as predictors. Interestingly, we found a mediating effect of those cognitive schemas in the relationship between childhood maltreatment and depression. Also, we found that depressive patients exhibited hypomethylation in a CpG site of BDNF promoter IV, which adds to the current discussion about the role of methylation in depression. We highlight that determining the methylation of a specific region of a single gene offers the possibility of accessing a highly informative an easily measurable variable, which represents benefits for diagnosis. Following complete replication and validation on larger samples, models like ours could be applicable as additional diagnostic tools in the clinical context.

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          Most cited references72

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          Inference of Population Structure Using Multilocus Genotype Data

          We describe a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations. We assume a model in which there are K populations (where K may be unknown), each of which is characterized by a set of allele frequencies at each locus. Individuals in the sample are assigned (probabilistically) to populations, or jointly to two or more populations if their genotypes indicate that they are admixed. Our model does not assume a particular mutation process, and it can be applied to most of the commonly used genetic markers, provided that they are not closely linked. Applications of our method include demonstrating the presence of population structure, assigning individuals to populations, studying hybrid zones, and identifying migrants and admixed individuals. We show that the method can produce highly accurate assignments using modest numbers of loci—e.g., seven microsatellite loci in an example using genotype data from an endangered bird species. The software used for this article is available from http://www.stats.ox.ac.uk/~pritch/home.html.
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            Research domain criteria (RDoC): toward a new classification framework for research on mental disorders.

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              Major depressive disorder.

                Author and article information

                Contributors
                Journal
                Front Psychiatry
                Front Psychiatry
                Front. Psychiatry
                Frontiers in Psychiatry
                Frontiers Media S.A.
                1664-0640
                14 December 2021
                2021
                : 12
                : 768680
                Affiliations
                [1] 1Centro de Investigaciones Genéticas en Enfermedades Humanas, Departamento de Ciencias Biológicas, Universidad de los Andes , Bogotá, Colombia
                [2] 2Departamento de Psicología, Universidad de los Andes , Bogotá, Colombia
                [3] 3Instituto Colombiano del Sistema Nervioso, Clínica Montserrat , Bogotá, Colombia
                [4] 4SIGEN alianza Universidad de los Andes – Fundación Santa Fe de Bogotá , Bogotá, Colombia
                Author notes

                Edited by: Judit Lazary, National Institute of Psychiatry and Addictions, Hungary

                Reviewed by: Laiana Quagliato, Federal University of Rio de Janeiro, Brazil; Jaime R. Silva, Universidad del Desarrollo, Chile

                *Correspondence: María Marcela Velásquez mm.velasquez@ 123456uniandes.edu.co

                This article was submitted to Mood Disorders, a section of the journal Frontiers in Psychiatry

                Article
                10.3389/fpsyt.2021.768680
                8712447
                34970165
                794a1ff0-007d-4bd0-86d8-6e9f71b5f9ad
                Copyright © 2021 Velásquez, Gómez-Maquet, Ferro, Cárdenas, González-Nieves and Lattig.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 01 September 2021
                : 22 November 2021
                Page count
                Figures: 2, Tables: 2, Equations: 0, References: 76, Pages: 8, Words: 6295
                Funding
                Funded by: Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS), doi 10.13039/100007637;
                Categories
                Psychiatry
                Original Research

                Clinical Psychology & Psychiatry
                major depressive disorder,bdnf,maladaptive cognitive schemas,methylation,epigenetics,family history of depression

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