Ayşe Demirkan

This study identifies C1R as a molecular link between coronary artery disease and dementia through proteogenomic analysis of circulating proteins and genetic causal-inference.

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

This study identifies two CpGs associated with the gut microbiome genus Eggerthella and shows microbiome mediates environmental effects on DNA methylation.

This study investigates the gut microbiome's role in Parkinson's disease using metagenomics, finding widespread dysbiosis and associations with disease mechanisms.

This study identifies 400+ genetic loci associated with circulating metabolic traits and highlights pleiotropy and novel disease pathways.

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

This study identifies 12,111 SNPs associated with height from 5.4 million individuals, explaining most common SNP-based heritability and showing ancestry-specific prediction accuracy.

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 identifies 31 host genetic loci influencing gut microbiome composition through GWAS and suggests causal effects in inflammatory diseases.

This study identifies 242 genetic loci for glycaemic traits using trans-ancestry meta-analysis, finding 99 novel loci and improved fine-mapping resolution compared to single-ancestry analyses.

The paper identifies genetic variants and transcripts associated with glycemic traits by analyzing exome-array data from 144,600 individuals, highlighting tissue-specific roles in glucose regulation.

This study identifies nine novel DNA methylation sites associated with fasting glucose and insulin levels by integrating cross-omics data from multiple cohorts.

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.

This study examines how inbreeding affects type 2 diabetes-related metabolites in a Dutch genetic isolate, finding that inbreeding influences 32.9% of T2DM-related metabolites independently of BMI.

The paper identifies recessive genetic variants associated with type 2 diabetes-related metabolites in a consanguineous population.

This study identifies 16 causal coding variants in type 2 diabetes using fine-mapping and shows that one third of signals are false leads.