Susan C. Cheng

The paper identifies pulmonary primary oxysterol and bile acid synthesis as a prognostic biomarker for pulmonary arterial hypertension, outperforming current clinical risk scores.

The paper develops and evaluates a multiplexed PRM-MS assay for quantifying plasma proteins in an IBD cohort, demonstrating high quantifiability and consistent data acquisition.

The paper identifies NCOA7's role in lysosomal function and inflammatory sterol metabolism in PAH, showing its deficiency exacerbates disease through oxysterol/bile acid generation.

This study conducts a GWAS on fatty acids and oxylipins in HCHS/SOL participants, identifying 19 genetic loci and shared/distinct genetic architecture.

This paper introduces TEAQ, a software tool that selects clinical-grade biomarker candidates from DIA-MS data by evaluating protein quantification metrics in a discovery cohort.

This study shows that oxidative stress modifies miR-483 to 8OH-G miR-483, leading to endothelial dysfunction and increased atherosclerosis risk through altered targetomes.

Greengenes2 aligns 16S rRNA and shotgun metagenomic data using a whole-genome phylogeny, showing agreement in principal coordinates, taxonomy, and phenotype effect size.

This study uses gut microbiome data and machine learning to improve liver disease risk prediction, showing that combining microbiome features with conventional risk factors enhances model performance.

In 5,959 Finns with genotypes and stool metagenomes, GWAS found 583 independent SNP-taxon associations; dairy intake modified LCT effects on Bifidobacterium, and ABO-linked Faecalicatena lactaris tracked secretor status.

This study identifies 118 genetic loci associated with 2,319 metabolite features and finds 46 causal effects of metabolites on common diseases using genome-wide association and Mendelian randomization.

This study conducts a GWAS on QRS duration in Hispanic/Latino populations, identifying two new loci and confirming most previously known SNPs.