Multi-omics Mendelian randomization integrating GWAS, eQTL, and mQTL data identified genes associated with breast cancer
Zhihao Zhang
Abstract
). Sensitive analysis and external validation analysis validated those two identified genes. Multi-omics MR analysis showed that the SNP signals associated with ATG10 and RCCD1 were significant across the data from BC Genome-wide association study (GWAS), eQTL, and mQTL studies. In conclusion, we identified two priority genes that are potentially associated with BC. These findings improve our limited understanding of the mechanism of BC and shed light on the development of therapeutic agents for treating BC.
Topics & Concepts
Expression quantitative trait lociGenome-wide association studyMendelian randomizationBreast cancerBiologyQuantitative trait locusGeneGeneticsSNPDNA methylationOncologyCancerBioinformaticsSingle-nucleotide polymorphismMedicineGene expressionGenetic variantsGenotypeGenetic Associations and EpidemiologyEpigenetics and DNA MethylationBioinformatics and Genomic Networks