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Article

A systems biology approach using metabolomic data reveals genes and pathways interacting to modulate divergent growth in cattle.

BMC genomics - 18 Nov 2013

Widmann Philipp, Reverter Antonio, Fortes Marina R S, Weikard Rosemarie, Suhre Karsten, Hammon Harald, Albrecht Elke, Kuehn Christa

Abstract excerpt

BACKGROUND: Systems biology enables the identification of gene networks that modulate complex traits. Comprehensive metabolomic analyses provide innovative phenotypes that are intermediate between the initiator of genetic variability, the genome, and raw phenotypes that are influenced by a large number of environmental effects. The present study combines two concepts, systems biology and metabolic analyses, in an...

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Identifiers

PMID: 24246134
DOI: 10.1186/1471-2164-14-798
PMCID: PMC3840609

Genes

NCAPG
BTC
DGKH

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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