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Co-occurring expression and methylation QTLs allow detection of common causal variants and shared biological mechanisms

Author

Listed:
  • Brandon L. Pierce

    (The University of Chicago
    The University of Chicago
    The University of Chicago)

  • Lin Tong

    (The University of Chicago)

  • Maria Argos

    (University of Illinois at Chicago)

  • Kathryn Demanelis

    (The University of Chicago)

  • Farzana Jasmine

    (The University of Chicago)

  • Muhammad Rakibuz-Zaman

    (UChicago Research Bangladesh)

  • Golam Sarwar

    (UChicago Research Bangladesh)

  • Md. Tariqul Islam

    (UChicago Research Bangladesh)

  • Hasan Shahriar

    (UChicago Research Bangladesh)

  • Tariqul Islam

    (UChicago Research Bangladesh)

  • Mahfuzar Rahman

    (UChicago Research Bangladesh
    BRAC)

  • Md. Yunus

    (International Centre for Diarrhoeal Disease Research Bangladesh)

  • Muhammad G. Kibriya

    (The University of Chicago)

  • Lin S. Chen

    (The University of Chicago)

  • Habibul Ahsan

    (The University of Chicago
    The University of Chicago
    The University of Chicago
    The University of Chicago)

Abstract

Inherited genetic variation affects local gene expression and DNA methylation in humans. Most expression quantitative trait loci (cis-eQTLs) occur at the same genomic location as a methylation QTL (cis-meQTL), suggesting a common causal variant and shared mechanism. Using DNA and RNA from peripheral blood of Bangladeshi individuals, here we use co-localization methods to identify eQTL-meQTL pairs likely to share a causal variant. We use partial correlation and mediation analyses to identify >400 of these pairs showing evidence of a causal relationship between expression and methylation (i.e., shared mechanism) with many additional pairs we are underpowered to detect. These co-localized pairs are enriched for SNPs showing opposite associations with expression and methylation, although many SNPs affect multiple CpGs in opposite directions. This work demonstrates the pervasiveness of co-regulated expression and methylation in the human genome. Applying this approach to other types of molecular QTLs can enhance our understanding of regulatory mechanisms.

Suggested Citation

  • Brandon L. Pierce & Lin Tong & Maria Argos & Kathryn Demanelis & Farzana Jasmine & Muhammad Rakibuz-Zaman & Golam Sarwar & Md. Tariqul Islam & Hasan Shahriar & Tariqul Islam & Mahfuzar Rahman & Md. Yu, 2018. "Co-occurring expression and methylation QTLs allow detection of common causal variants and shared biological mechanisms," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03209-9
    DOI: 10.1038/s41467-018-03209-9
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    Cited by:

    1. Yihao Lu & Meritxell Oliva & Brandon L. Pierce & Jin Liu & Lin S. Chen, 2024. "Integrative cross-omics and cross-context analysis elucidates molecular links underlying genetic effects on complex traits," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Lulu Shang & Wei Zhao & Yi Zhe Wang & Zheng Li & Jerome J. Choi & Minjung Kho & Thomas H. Mosley & Sharon L. R. Kardia & Jennifer A. Smith & Xiang Zhou, 2023. "meQTL mapping in the GENOA study reveals genetic determinants of DNA methylation in African Americans," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    3. Lei Li & Xuelian Ma & Ya Cui & Maxime Rotival & Wenyan Chen & Xudong Zou & Ruofan Ding & Yangmei Qin & Qixuan Wang & Lluis Quintana-Murci & Wei Li, 2023. "Immune-response 3′UTR alternative polyadenylation quantitative trait loci contribute to variation in human complex traits and diseases," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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