Differential long noncoding RNA profiling of BMI in twins

Research output: Contribution to journalJournal articleResearchpeer-review


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
Issue number17
Pages (from-to)1531-1541
Publication statusPublished - Sep 2020


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


Dive into the research topics of 'Differential long noncoding RNA profiling of BMI in twins'. Together they form a unique fingerprint.

Cite this