Publications by authors named "G Pistis"

Article Synopsis
  • - The study aimed to explore the genetic basis of major depressive disorder by analyzing symptoms across various clinical and community cohorts, acknowledging challenges like sample size differences and missing data patterns.
  • - Researchers performed genome-wide association studies using data from both diagnosed and undiagnosed participants, fitting models to understand the relationships between different depressive symptoms.
  • - Findings emphasized the relevance of symptom directionality (e.g., hypersomnia vs. insomnia) and the necessity of considering study design when analyzing genetic data related to depression.
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Article Synopsis
  • Genome-wide association studies have found numerous genetic loci linked to glycemic traits, but connecting these loci to specific genes and biological pathways remains a challenge.
  • Researchers conducted meta-analyses of exome-array studies across four glycemic traits, analyzing data from over 144,000 participants, which led to the identification of coding variant associations in more than 60 genes.
  • The study revealed significant pathways related to insulin secretion, zinc transport, and fatty acid metabolism, enhancing understanding of glycemic regulation and making data available for further research.
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Article Synopsis
  • * A genome-wide association meta-analysis of nearly 122,000 ANX cases revealed 58 significant genetic variants and 66 related genes, with many of these findings replicated in a larger independent sample.
  • * The findings indicate a substantial genetic overlap between ANX and other conditions like depression, emphasizing GABAergic signaling as a key mechanism, thereby enhancing our understanding of the genetic basis of ANX for future research.
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Article Synopsis
  • Antipsychotic response varies among individuals due to genetic and non-genetic factors, with specific SNPs linked to treatment response identified through genome-wide association studies (GWAS).
  • A study involving 460 patients with different mental health diagnoses found that a polygenic risk score (PRS) based on SNPs associated with antipsychotic response was significantly correlated with treatment outcomes, especially in patients with schizophrenia or bipolar disorder.
  • Although the PRS shows a meaningful association with treatment response, its poor sensitivity and specificity suggest it cannot yet be used as a reliable predictive tool in clinical settings.
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Neurodegenerative, vascular, and dementia diseases are linked to dysregulations in cholesterol metabolism. Dietary plant sterols, or phytosterols, may interfere to neurodegeneration and cognitive decline, and have cholesterol-lowering, anti-inflammatory, and antioxidant qualities. Here, we investigated the potential associations between circulating cholesterol precursors and metabolites, triglycerides, and phytosterols with cognitive decline in older people by performing multivariate analysis on 246 participants engaged in a population-based prospective study.

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