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Article

Protocol for genome-wide association study of human blood metabolites.

STAR protocols - 21 Jun 2024

Iwasaki Takeshi, Kamatani Yoichiro, Sonomura Kazuhiro, Kawaguchi Shuji, Matsuda Fumihiko

Abstract excerpt

Genetic variations influence the levels of blood metabolites. We present analytical pipelines for assessing genetic influences on human blood metabolites. We describe steps for the normalization of metabolome data, genome-wide association studies, and the identification of metabolite quantitative trait loci (mQTLs). We then detail procedures for functional enrichment analysis of mQTLs. This protocol could be...

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Identifiers

PMID: 38700977
DOI: 10.1016/j.xpro.2024.103052
PMCID: PMC11078696

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