Beyond Statistics: Genomics and the Genetic Construction of Depression

Principia: An International Journal of Epistemology 29 (1):141-169 (2025)
  Copy   BIBTEX

Abstract

The global increase in the incidence of depression has sparked debates about a potential "epidemic". Within this context, there is academic criticism directed at the current state of psychiatric practice and knowledge, particularly concerning the validity of depression diagnostic criteria. Precision Psychiatry, combined with Disease Genomics, emerges as a potential solution to enhance diagnostic accuracy. Our research involves a methodological and epistemological analysis of the biological bases of depression as framed by Disease Genomics, focusing on the strategies used to study depression and their relationship to the development of diagnostic and treatment technologies. We found a scenario where non-significant associations between genetic variants and depression diagnosis in initial genomic studies were interpreted as methodological failures and challenges in statistical power. Consequently, efforts have aimed to increase statistical power through statistical strategies, conceptualizing depression as a genetically-based condition, albeit simplified and decontextualized. This focus on identifying specific genetic bases is also justified by the goal of developing more precise diagnoses and more effective treatments. Finally, we pose the question of whether these strategies truly aim to clarify the boundaries of diagnosis, heavily criticized for pathologizing "normal" human suffering, or rather to deepen this trend towards a more biologically and genetically oriented understanding of depression.

Other Versions

No versions found

Links

PhilArchive

    This entry is not archived by us. If you are the author and have permission from the publisher, we recommend that you archive it. Many publishers automatically grant permission to authors to archive pre-prints. By uploading a copy of your work, you will enable us to better index it, making it easier to find.

    Upload a copy of this work     Papers currently archived: 104,556

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

An Expert System for Depression Diagnosis.Izzeddin A. Alshawwa, Mohammed Elkahlout, Hosni Qasim El-Mashharawi & Samy S. Abu-Naser - 2019 - International Journal of Academic Health and Medical Research (IJAHMR) 3 (4):20-27.
Symptoms, signs, and risk factors.Mikko Jauho & Ilpo Helén - 2018 - History of the Human Sciences 31 (1):56-73.

Analytics

Added to PP
2025-03-29

Downloads
1 (#1,961,668)

6 months
1 (#1,609,113)

Historical graph of downloads

Sorry, there are not enough data points to plot this chart.
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references