Chloé Sarnowski

The paper identifies 16 genetic loci interacting with sleep duration to influence glycemic traits in over 480,000 individuals, revealing distinct biological mechanisms for short and long sleep.

ScreenDMT identifies metabolites consistently linked to sleep disorders across three human cohorts, revealing replicable associations with insomnia, sleep duration, and daytime sleepiness.

HiFiMAP provides high-resolution IBD mapping at SNP level, outperforming window-based methods and detecting novel associations in UK Biobank and brain imaging data.

This study uses whole-genome sequence data from diverse participants to identify novel genetic loci associated with brain structural volumes, highlighting the importance of diverse cohorts in uncovering genetic architecture.

The paper identifies ancestry-specific and shared genetic regulators of plasma proteins in European and African populations, revealing novel causal relationships and shared pQTLs.

This study uses whole genome sequence data from the ADSP to identify 17 significant variants in five genomic regions associated with Alzheimer's disease.

This study identifies 1,289 genetic signals for type 2 diabetes in 2.5 million individuals, revealing distinct clusters linked to vascular complications and highlighting ancestry-specific genetic risk factors.

The paper performs whole genome sequence association analysis of fasting glucose and insulin levels in diverse cohorts, identifying 22 significant variants across 16 gene regions, including rare variants.

This study identifies 277 T2D loci using diverse populations and improves fine-mapping to assess causal genes and mechanisms, enhancing clinical translation.

This study identifies 15 genetic loci associated with muscle weakness in older adults through a large meta-analysis, revealing new pathways linked to aging and health outcomes.

This study identifies 100 loci associated with mitochondrial DNA copy number and finds causal links between mitochondrial function and mortality.

The paper identifies rare non-coding variants from whole genome sequencing in the TOPMed program, showing they contribute significantly to type 2 diabetes heritability.

The paper identifies genetic variants affecting HbA1c levels in multi-ancestry cohorts, showing ancestry-specific impacts on diabetes diagnosis via HbA1c.

This study identifies 96 genome-wide significant loci associated with dietary intake variation using a multi-trait GWAS meta-analysis across 283,119 individuals.

This study performs a large GWAS of Alzheimer's disease, identifies four new risk loci, and highlights pathways involving immunity, lipid metabolism, and APP/Aβ processing.

This study fine-maps type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps, identifying 73 variants with >80% posterior probability of association.