Cargando…

Investigating the relationship between depression and breast cancer: observational and genetic analyses

BACKGROUND: Both depression and breast cancer (BC) contribute to a substantial global burden of morbidity and mortality among women, and previous studies have observed a potential depression-BC link. We aimed to comprehensively characterize the phenotypic and genetic relationships between depression...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Xueyao, Zhang, Wenqiang, Zhao, Xunying, Zhang, Li, Xu, Minghan, Hao, Yu, Xiao, Jinyu, Zhang, Ben, Li, Jiayuan, Kraft, Peter, Smoller, Jordan W., Jiang, Xia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161423/
https://www.ncbi.nlm.nih.gov/pubmed/37143087
http://dx.doi.org/10.1186/s12916-023-02876-w
Descripción
Sumario:BACKGROUND: Both depression and breast cancer (BC) contribute to a substantial global burden of morbidity and mortality among women, and previous studies have observed a potential depression-BC link. We aimed to comprehensively characterize the phenotypic and genetic relationships between depression and BC. METHODS: We first evaluated phenotypic association using longitudinal follow-up data from the UK Biobank (N = 250,294). We then investigated genetic relationships leveraging summary statistics from the hitherto largest genome-wide association study of European individuals conducted for depression (N = 500,199), BC (N = 247,173), and its subtypes based on the status of estrogen receptor (ER + : N = 175,475; ER − : N = 127,442). RESULTS: Observational analysis suggested an increased hazard of BC in depression patients (HR = 1.10, 95%CIs = 0.95–1.26). A positive genetic correlation between depression and overall BC was observed ([Formula: see text] = 0.08, P = 3.00 × 10(–4)), consistent across ER + ([Formula: see text] = 0.06, P = 6.30 × 10(–3)) and ER − subtypes ([Formula: see text] = 0.08, P = 7.20 × 10(–3)). Several specific genomic regions showed evidence of local genetic correlation, including one locus at 9q31.2, and four loci at, or close, to 6p22.1. Cross-trait meta-analysis identified 17 pleiotropic loci shared between depression and BC. TWAS analysis revealed five shared genes. Bi-directional Mendelian randomization suggested risk of depression was causally associated with risk of overall BC (OR = 1.12, 95%Cis = 1.04–1.19), but risk of BC was not causally associated with risk of depression. CONCLUSIONS: Our work demonstrates a shared genetic basis, pleiotropic loci, and a putative causal relationship between depression and BC, highlighting a biological link underlying the observed phenotypic relationship; these findings may provide important implications for future studies aimed reducing BC risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02876-w.