Publication
Additive genetic contribution to symptom dimensions in major depressive disorder
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- Persistent URL
- Last modified
- 05/22/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2016-05-01
- Publisher
- American Psychological Association
- Publication Version
- Copyright Statement
- © 2016 American Psychological Association.
- Final Published Version (URL)
- Title of Journal or Parent Work
- ISSN
- 0021-843X
- Volume
- 125
- Issue
- 4
- Start Page
- 495
- End Page
- 501
- Grant/Funding Information
- Dr. Rohan Palmer is supported by K01AA021113 from the National Institute on Alcohol Abuse and Alcoholism (NIAAA).
- The study was supported by NIMH Contract # N01MH90003 to the University of Texas Southwestern Medical Center.
- Supplemental Material (URL)
- Abstract
- Major depressive disorder (MDD) is a phenotypically heterogeneous disorder with a complex genetic architecture. In this study, genomic-relatedness-matrix restricted maximum-likelihood analysis (GREML) was used to investigate the extent to which variance in depression symptoms/symptom dimensions can be explained by variation in common single nucleotide polymorphisms (SNPs) in a sample of individuals with MDD (N = 1,558) who participated in the National Institute of Mental Health Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. A principal components analysis of items from the Hamilton Rating Scale for Depression (HRSD) obtained prior to treatment revealed 4 depression symptom components: (a) appetite, (b) core depression symptoms (e.g., depressed mood, anhedonia), (c) insomnia, and (d) anxiety. These symptom dimensions were associated with SNP-based heritability (h2SNP) estimates of 30%, 14%, 30%, and 5%, respectively. Results indicated that the genetic contribution of common SNPs to depression symptom dimensions were not uniform. Appetite and insomnia symptoms in MDD had a relatively strong genetic contribution whereas the genetic contribution was relatively small for core depression and anxiety symptoms. While in need of replication, these results suggest that future gene discovery efforts may strongly benefit from parsing depression into its constituent parts.
- Author Notes
- Keywords
- Research Categories
- Psychology, Clinical
- Health Sciences, Mental Health
- Biology, Genetics
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