ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2023
Identifying novel proteins underlying loneliness by integrating GWAS summary data with human brain proteomes.
Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Social disconnection integrates genetic and proteomic risks in suicidal ideation and depression.Translational psychiatry · 2026Article
- Associations of stable psychological traits with multi-omic subtypes of Alzheimer's dementia.Translational psychiatry · 2026Article
- MKRN1 as a prioritized drug target for postpartum depression: evidence from druggable proteome profiling and multi-layer validation.Translational psychiatry · 2026Article
- Identification of Mood Disorders Causal Genes by Integrating the Brain Proteome and Transcriptome.Molecular neurobiology · 2025Article
- Identifying novel proteins for suicide attempt by integrating proteomes from brain and blood with genome-wide association data.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
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Abstract
Enduring loneliness is associated with mental disorders and physical diseases. Although genome-wide association studies (GWAS) have identified risk loci associated with loneliness, how these loci confer the risk remains largely unknown. In the current study, we aimed to investigate key proteins underlying loneliness in the brain by integrating human brain proteomes and transcriptomes with loneliness GWAS to perform a discovery proteome-wide association study (PWAS), followed by a confirmatory PWAS, transcriptome-wide association analysis (TWAS), Mendelian randomization (MR), Steigering filtering analysis and Bayesian colocalization analysis. Moreover, given the fact that loneliness is associated with mental disorders, we explored the shared genetic architecture between loneliness and mental disorders. Totally, we identified 18 genes to be associated with loneliness via their cis-regulated brain protein abundance. Eleven of the 18 genes (61.1%) were replicated in the confirmatory PWAS, and mRNA levels of 4 genes were further validated to be associated with loneliness.MR and genetic colocalization analysis further confirmed that the increased protein abundance of ALDH2 and ICA1L was protective against loneliness, while the increased protein abundance of GPX1 was a risk for developing loneliness. Furthermore, we found genetic correlations, bidirectional causal associations and overlapping phenotype-associated protein profiles between loneliness and mental disorders including major depression and schizophrenia. In summary, our findings provided clues about the brain-related molecular basis underlying loneliness, which warrants further investigation.
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