Publications by authors named "G M Panagiotaropoulou"

Background: Accurate diagnosis of bipolar disorder (BPD) is difficult in clinical practice, with an average delay between symptom onset and diagnosis of about 7 years. A depressive episode often precedes the first manic episode, making it difficult to distinguish BPD from unipolar major depressive disorder (MDD).

Aims: We use genome-wide association analyses (GWAS) to identify differential genetic factors and to develop predictors based on polygenic risk scores (PRS) that may aid early differential diagnosis.

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Recent advancements in Parkinson's disease (PD) drug development have been significantly driven by genetic research. Importantly, drugs supported by genetic evidence are more likely to be approved. While genome-wide association studies (GWAS) are a powerful tool to nominate genomic regions associated with certain traits or diseases, pinpointing the causal biologically relevant gene is often challenging.

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Article Synopsis
  • * The research identified 12 significant genetic markers linked to MG, with certain markers associated specifically with early-onset (under 50) and late-onset (50 and older) forms of the disease.
  • * Additionally, the study highlighted the potential role of genetic factors in determining the age of disease onset and demonstrated that polygenic risk scores could help predict MG status, explaining over 4% of the variation in disease presence.
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Background: Schizophrenia genome-wide association studies (GWASes) have identified >250 significant loci and prioritized >100 disease-related genes. However, gene prioritization efforts have mostly been restricted to locus-based methods that ignore information from the rest of the genome.

Methods: To more accurately characterize genes involved in schizophrenia etiology, we applied a combination of highly-predictive tools to a published GWAS of 67,390 schizophrenia cases and 94,015 controls.

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Article Synopsis
  • Accurately diagnosing bipolar disorder (BD) can take around 7 years due to its overlap with unipolar major depressive disorder (MDD), especially since the first manic episode often follows a depressive one.
  • This study uses genome-wide association analyses (GWAS) and polygenic risk scores (PRS) from a large cohort to identify genetic factors that could help differentiate between BD and MDD early on.
  • The results show that while BD and MDD are genetically distinct and share a continuum of genetic risk, larger future studies are needed to enhance the accuracy of these genetic predictors for early diagnosis.
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