Irina Pokhvisneva

A glucocorticoid-responsive polygenic signature in the anterior cingulate cortex moderates the association of early-life adversity and vulnerability for depression

The paper identifies a glucocorticoid-responsive gene network in the anterior cingulate cortex that moderates the link between early-life adversity and depression risk in adult females.

Striatal dopamine gene network moderates the effect of early adversity on the risk for adult psychiatric and cardiometabolic comorbidity

The paper shows that a polygenic score for striatal dopamine transporter gene network interacts with birth weight to predict psychiatric and cardiometabolic comorbidities in adults and adolescents.

Expression based polygenic scores - A gene network perspective to capture individual differences in biological processes.

The paper introduces expression-based polygenic scores (ePGS) that integrate gene co-expression networks to better capture individual differences in biological processes compared to traditional polygenic risk scores.

Mechanistic convergence of depression and suicidality on astrocyte fatty acid metabolism

This study identifies expression networks of MDD risk genes linked to astrocyte fatty acid metabolism and suicidal ideation, suggesting PPARA as a therapeutic target.

Homeostatic inflammation in the placenta is protective against adult cardiovascular and depressive outcomes

The paper defines a homeostatic inflammation signature in the placenta, creates a polygenic score, and shows its protective effects on cardiovascular and depressive outcomes using UK Biobank data.

Microglial function moderates the relation between depression risk factors and depression outcomes across the life course in females

The paper shows that microglial function influences how depression risk factors affect depression outcomes differently in females compared to males across the life course.

A Sex-Specific Genome-Wide Association Study of Depression Phenotypes in UK Biobank

This study identifies sex-specific genetic markers and pathways for depression using UK Biobank data, showing distinct genetic correlations and predictive power in males and females.

A biologically-informed polygenic score identifiesendophenotypes and clinical conditions associated with the insulinreceptor function on specific brain regions

The paper introduces a biologically informed polygenic score for insulin receptor-related genes in mesocorticolimbic regions and shows it better predicts childhood impulsivity and early addiction risk than conventional scores.

PRS-on-Spark: a novel, efficient and flexible approach for generating polygenic risk scores

PRS-on-Spark generates polygenic risk scores efficiently, supporting diverse data inputs and improving variance explained for major depression.