Linking genotype to phenotype in multi-omics data of small sample.

ABSTRACT:

Background

Genome-wide association studies (GWAS) that link genotype to phenotype represent an effective means to associate an individual genetic background with a disease or trait. However, single-omics data only provide limited information on biological mechanisms, and it is necessary to improve the accuracy for predicting the biological association between genotype and phenotype by integrating multi-omics data. Typically, gene expression data are integrated to analyze the effect of single nucleotide polymorphisms (SNPs) on phenotype. Such multi-omics data integration mainly follows two approaches: multi-staged analysis and meta-dimensional analysis, which respectively ignore intra-omics and inter-omics associations. Moreover, both approaches require omics data from a single samp

SUBMITTER: Guo X 

PROVIDER: S-EPMC8278664 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature