Zhanna Balkhiyarova

This study shows GLP-1R agonists improve mitochondrial health in beta-cells by forming a complex with VAPB and SPHKAP at ER-mitochondria MCSs, leading to mitochondrial remodelling and improved function.

The paper identifies genetic clusters underlying T2D and hypertension comorbidity using partitioned polygenic scores, improving risk prediction for individuals with heightened susceptibility.

The paper introduces a framework for time-varying GWAS to identify age-varying genetic effects on BMI across childhood, finding 28 genome-wide significant variants, including a novel one in DAOA.

The paper identifies enriched gut microbiome genera in Kashmiri women with PCOS, linking them to metabolic and hormonal factors.

This study performs a GWAS on random glucose measurements in 493,036 individuals, identifying 128 loci associated with glycaemic traits and providing insights into diabetes biology and treatment.

The paper introduces methylSCOPA and META-methylSCOPA software for multi-phenotype epigenome-wide association studies, identifying significant methylation sites associated with fasting glucose and insulin levels.

The paper uses GWIS to analyze genetic correlations between HOMA-B/-IR and inflammatory markers, identifying novel loci and strong genetic links with PAI-1 and C-reactive protein.

The paper uses machine learning to predict glycaemic traits from multi-omics data in longitudinal cohorts, identifying key predictors like methylation marks and metabolic variables.