Harmen H. M. Draisma

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

This study estimates heritability and genetic contributions to metabolite levels using genome-wide data and twin-family cohorts, revealing class-specific genetic influences.

The paper uses RNA-Seq data from 296 family trios to identify genomic imprinting by analyzing allelic expression and parental haplotypes, finding 45 imprinted genes and one novel imprinted transcript.

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