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Article

Estimating the overall fraction of phenotypic variance attributed to high-dimensional predictors measured with error.

Biostatistics (Oxford, England) - 15 Apr 2024

Mandal Soutrik, Kim Do Hyun, Hua Xing, Li Shilan, Shi Jianxin

Abstract excerpt

In prospective genomic studies (e.g., DNA methylation, metagenomics, and transcriptomics), it is crucial to estimate the overall fraction of phenotypic variance (OFPV) attributed to the high-dimensional genomic variables, a concept similar to heritability analyses in genome-wide association studies (GWAS). Unlike genetic variants in GWAS, these genomic variables are typically measured with error due to technical...

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PMID: 36797830
DOI: 10.1093/biostatistics/kxad001
PMCID: PMC11017132

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