Ontology highlight
ABSTRACT: Background
Anthracyclines are highly effective in treating cancer, albeit with increased cardiomyopathy risk. Although risk is attributed to associations with single nucleotide polymorphisms (SNPs), multiple SNPs on a gene and their interactions remain unexamined.Objectives
This study examined gene-level associations with cardiomyopathy among cancer survivors using whole-exome sequencing data.Methods
For discovery, 278 childhood cancer survivors (129 cases; 149 matched control subjects) from the COG (Children's Oncology Group) study ALTE03N1 were included. Logic regression (machine learning) was used to identify gene-level SNP combinations for 7,212 genes and ordinal logistic regression to estimate gene-level associations with cardiomyopathy. Models were adjusted fo
SUBMITTER: Sharafeldin N
PROVIDER: S-EPMC10774788 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature