Transcriptomic and Metabolomic Analyses in Monozygotic and Dizygotic Twins

Nikki Hubers*, Gabin Drouard, Rick Jansen, René Pool, Jouke Jan Hottenga, Miina Ollikainen, Xiaoling Wang, Gonneke Willemsen, Jaakko Kaprio, Dorret I. Boomsma, Jenny van Dongen

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Monozygotic (MZ) and dizygotic (DZ) twins are studied to understand genetic and environmental influences on complex traits, however the mechanisms behind twinning are not completely understood. (Epi)genomic studies identified SNPs associated with DZ twinning and DNA methylation sites with MZ twinning. To find molecular biomarkers of twinning, we compared transcriptomics and metabolomics data from MZ and DZ twins. We analyzed 42,663 RNA transcripts in 1453 MZ twins and 1294 DZ twins from the Netherlands Twin Register (NTR), followed by sex-stratified analyses. The top 5% transcripts with lowest p-values were analyzed for replication in 217 MZ and 158 DZ twins from the older Finnish Twin cohort (FTC). In the NTR, one transcript (PURG) was significantly differentially expressed between MZ and DZ twins; but this did not replicate in FTC. Pathway analyses highlighted the WNT-pathway, previously associated with MZ twinning, and the TGF-B and SMAD pathway, previously associated with DZ twinning. Meta-analysis of 169 serum metabolites in 2797 MZ and 2040 DZ twins from the NTR, FTC and FinnTwin12, showed no metabolomic differences. Overall, we did not find replicable transcript-level expression differences in blood between MZ and DZ twins, but highlighted the TGF-B/SMAD pathway as a potential transcriptional biomarker for DZ twinning.

Original languageEnglish
Number of pages12
JournalAmerican Journal of Medical Genetics, Part A
DOIs
Publication statusE-pub ahead of print - 16 Dec 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s). American Journal of Medical Genetics Part A published by Wiley Periodicals LLC.

Keywords

  • Metabolomics
  • multi-omics
  • Transcriptomics
  • twinning
  • twins

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