Catherine Lomen‐Hoerth

The paper identifies tissue-informative DNA methylation sites in ALS using targeted sequencing and machine learning, showing accurate prediction of disease status and progression.

This paper introduces CelFiE, a method to estimate cell type contributions to cfDNA, showing it can detect rare cell types and find increased skeletal muscle cfDNA in ALS patients.

This study identifies genetic variants and networks associated with ALS using GWAS data, revealing novel loci and functional sub-networks linked to disease.