Differential long noncoding RNA profiling of BMI in twins

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Abstract

Aim: Many efforts have been deployed to identify genetic variants associated with BMI. Alternatively, we explore epigenetic contribution to BMI variation by focusing on long noncoding RNAs (lncRNAs) which represents a key layer of epigenetic control. Materials & methods: We analyzed lncRNA expression in whole blood of 229 monozygotic twin pairs in association with BMI using generalized estimating equations. Results & conclusion: Six lncRNA probes were identified as significant (false discovery rate <0.05), with BMI showing causal effects on the expression of the significant lncRNAs. Functional annotation of differential profiles identified Gene ontology biological processes including kidney development, regulations of lipid biosynthetic process, circadian rhythm, notch signaling, etc. Whole blood lncRNAs are significantly expressed in response to BMI variation.

Original languageEnglish
JournalEpigenomics
Volume12
Issue number17
Pages (from-to)1531-1541
ISSN1750-1911
DOIs
Publication statusPublished - Sep 2020

Keywords

  • lncRNA, twin study, body mass index, causal inference

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