Bin Ye

The paper performs metabolomics exome and genome-wide association studies in Amish adults, identifying genetic variants linked to metabolites and cardiometabolic traits.

This study identifies parent-of-origin specific genetic associations with clinical traits from EHR in a large population study, finding that PoO effects are often captured by standard models but remain underpowered to detect.

This study uses whole exome sequencing in 6,716 American Indians to identify metabolic trait-associated variants, finding unique pLOF and nonsynonymous variants linked to BMI, diabetes, and lipid levels.

The paper identifies a missense variant in B4GALT1 associated with lower LDL-C and fibrinogen, supported by genetic, functional, and glycan profiling evidence.

Exomes of 49,960 UK Biobank participants reveal 231,631 predicted loss-of-function variants (>10-fold more than imputed data); burden tests implicate PIEZO1, MEPE, and COL6A1 in disease traits.