Marian Beekman

This study identifies rare genetic variants in the IIS/mTOR pathway in long-lived humans and shows they have shared functional effects on lifespan-related traits in mice.

The paper identifies rare longevity-associated variants, including a cGAS mutation, in long-lived families and shows they reduce inflammation and delay cellular senescence.

The paper introduces a penalized reduced rank regression model for multi-outcome survival data, finding a common metabolic risk score associated with age-related diseases using UK Biobank data.

This study examines how a lifestyle intervention affects the blood transcriptomic and metabolomic responses to a nutrient challenge in elderly individuals.

The paper develops interpretable neural networks for multi-omics data to predict smoking status, age, and LDL levels, showing improved performance and generalizability across cohorts.

The paper introduces the AccelerAge framework, a statistical method for predicting biological age using time-to-event data, and evaluates it against existing predictors.

This paper examines the assumptions of cross-sectional biological age predictors and shows that a key assumption is untestable and can lead to unreliable results.

The paper identifies 16 genomic loci associated with IgG galactosylation through GWAS and validates three genes using CRISPR/dCas9 in an in vitro system.

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

This study shows that having more long-lived ancestors is linked to longer healthspan and better mid-life metabolomic profiles in families.

The paper identifies 818 genes influencing DNA methylation in blood using genetic anchors and causal inference, revealing both transcription factors and non-DNA-binding proteins with regulatory roles.

The paper evaluates normalization methods for glycomics data by assessing how well they enable accurate reconstruction of known glycosylation pathway reactions using Gaussian Graphical Models.

The paper examines whether the survival advantage of offspring from long-lived parents is genetic or environmental, finding a genetic component that persists beyond age 5.

The paper identifies heritable longevity carriers using a family score and shows that longevity is transmitted across generations when at least 20% of relatives are long-lived.

This study shows that lifestyle interventions reducing abdominal fat are linked to lower circulating glycerol and higher HDL diameter, independent of BMI or overall weight loss.

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

This paper introduces TWMR, a Mendelian Randomization method that identifies gene-trait associations by integrating GWAS and eQTL data, revealing 3,913 novel associations across 43 human phenotypes.

The paper shows that longevity as top 10% survivors is a quantitative genetic trait, with a 31% survival advantage in families with long-lived relatives.

This study identifies novel HPE genes and oligogenic inheritance patterns in holoprosencephaly by integrating clinical data with exome sequencing and gene prioritization.

The paper identifies 49 gene drivers of downstream transcriptional changes using population genomics data and RNA-sequencing from 3,072 individuals.

The paper identifies trans-meQTLs linking disease variants to methylation changes at transcription factor binding sites, revealing eight-fold more downstream effects than trans-eQTLs.

The paper identifies context-dependent eQTLs in peripheral blood RNA-seq data from Dutch individuals using a hypothesis-free approach, revealing gene expression influenced by cell type and signaling pathways.