ArticleThe pharmacogenomics journal2021
Genetic variants associated with cardiometabolic abnormalities during treatment with selective serotonin reuptake inhibitors: a genome-wide association study.
Article in The pharmacogenomics journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Gene-environment interactions contribute to blood pressure variation across global populations.HGG advances · 2026Article
- Neurobehavioural genes exert indirect genetic effects on blood lipid profiles through behavioural traits.Communications biology · 2026Article
- Identifying genome-by-childhood trauma interactions for depression using a forest-based approach in the UK Biobank and Adolescent Brain Cognitive Development Study.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Genome-wide associations with metabolic syndrome among UK Biobank participants reporting use of second-generation antipsychotics.Pharmacotherapy · 2025Article
- Genetic Associations of Anhedonia: Insights into Overlap of Mental and Somatic Disorders.Consortium psychiatricum · 2024Article
- Associations of antidepressants and antipsychotics with lipid parameters: DoJournal of psychopharmacology (Oxford, England) · 2023Article
- Precision Medicine in Antidepressants Treatment.Handbook of experimental pharmacology · 2023Review
- Complex Feline Disease Mapping Using a Dense Genotyping Array.Frontiers in veterinary science · 2022Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Selective serotonin reuptake inhibitors (SSRIs) are prescribed both to patients with schizophrenia and bipolar disorder. Previous studies have shown associations between SSRI treatment and cardiometabolic alterations. The aim of the present study was to investigate genetic variants associated with cardiometabolic adverse effects in patients treated with SSRIs in a naturalistic setting, using a genome-wide cross-sectional approach in a genetically homogeneous sample. We included and genotyped 1981 individuals with schizophrenia or bipolar disorder, of whom 1180 had information available on the outcomes low-density lipoprotein cholesterol (LDL-cholesterol), high-density lipoprotein cholesterol (HDL-cholesterol), triglycerides, and body mass index (BMI) and investigated interactions between SNPs and SSRI use (N = 246) by conducting a genome-wide GxE analysis. We report 13 genome-wide significant interaction effects of SNPs and SSRI serum concentrations on LDL-cholesterol, HDL-cholesterol, and BMI, located in four distinct genomic loci. This study provides new insight into the pharmacogenetics of SSRI but warrants replication in independent populations.
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Registered trials
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