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Interpreting type 1 diabetes risk with genetics and single-cell epigenomics

Author

Listed:
  • Joshua Chiou

    (University of California San Diego
    Pfizer Worldwide Research)

  • Ryan J. Geusz

    (University of California San Diego)

  • Mei-Lin Okino

    (University of California San Diego)

  • Jee Yun Han

    (University of California San Diego)

  • Michael Miller

    (University of California San Diego)

  • Rebecca Melton

    (University of California San Diego)

  • Elisha Beebe

    (University of California San Diego)

  • Paola Benaglio

    (University of California San Diego)

  • Serina Huang

    (University of California San Diego)

  • Katha Korgaonkar

    (University of California San Diego)

  • Sandra Heller

    (Ulm University)

  • Alexander Kleger

    (Ulm University)

  • Sebastian Preissl

    (University of California San Diego)

  • David U. Gorkin

    (University of California San Diego
    Emory University)

  • Maike Sander

    (University of California San Diego
    University of California San Diego
    University of California San Diego)

  • Kyle J. Gaulton

    (University of California San Diego
    University of California San Diego)

Abstract

Genetic risk variants that have been identified in genome-wide association studies of complex diseases are primarily non-coding1. Translating these risk variants into mechanistic insights requires detailed maps of gene regulation in disease-relevant cell types2. Here we combined two approaches: a genome-wide association study of type 1 diabetes (T1D) using 520,580 samples, and the identification of candidate cis-regulatory elements (cCREs) in pancreas and peripheral blood mononuclear cells using single-nucleus assay for transposase-accessible chromatin with sequencing (snATAC–seq) of 131,554 nuclei. Risk variants for T1D were enriched in cCREs that were active in T cells and other cell types, including acinar and ductal cells of the exocrine pancreas. Risk variants at multiple T1D signals overlapped with exocrine-specific cCREs that were linked to genes with exocrine-specific expression. At the CFTR locus, the T1D risk variant rs7795896 mapped to a ductal-specific cCRE that regulated CFTR; the risk allele reduced transcription factor binding, enhancer activity and CFTR expression in ductal cells. These findings support a role for the exocrine pancreas in the pathogenesis of T1D and highlight the power of large-scale genome-wide association studies and single-cell epigenomics for understanding the cellular origins of complex disease.

Suggested Citation

  • Joshua Chiou & Ryan J. Geusz & Mei-Lin Okino & Jee Yun Han & Michael Miller & Rebecca Melton & Elisha Beebe & Paola Benaglio & Serina Huang & Katha Korgaonkar & Sandra Heller & Alexander Kleger & Seba, 2021. "Interpreting type 1 diabetes risk with genetics and single-cell epigenomics," Nature, Nature, vol. 594(7863), pages 398-402, June.
  • Handle: RePEc:nat:nature:v:594:y:2021:i:7863:d:10.1038_s41586-021-03552-w
    DOI: 10.1038/s41586-021-03552-w
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    Cited by:

    1. Matthew T. Patrick & Qinmengge Li & Rachael Wasikowski & Nehal Mehta & Johann E. Gudjonsson & James T. Elder & Xiang Zhou & Lam C. Tsoi, 2022. "Shared genetic risk factors and causal association between psoriasis and coronary artery disease," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Chachrit Khunsriraksakul & Qinmengge Li & Havell Markus & Matthew T. Patrick & Renan Sauteraud & Daniel McGuire & Xingyan Wang & Chen Wang & Lida Wang & Siyuan Chen & Ganesh Shenoy & Bingshan Li & Xue, 2023. "Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    3. Arthur S. Lee & Lauren J. Ayers & Michael Kosicki & Wai-Man Chan & Lydia N. Fozo & Brandon M. Pratt & Thomas E. Collins & Boxun Zhao & Matthew F. Rose & Alba Sanchis-Juan & Jack M. Fu & Isaac Wong & X, 2024. "A cell type-aware framework for nominating non-coding variants in Mendelian regulatory disorders," Nature Communications, Nature, vol. 15(1), pages 1-26, December.
    4. Pietro Demela & Nicola Pirastu & Blagoje Soskic, 2023. "Cross-disorder genetic analysis of immune diseases reveals distinct gene associations that converge on common pathways," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    5. Jennifer P. Nguyen & Timothy D. Arthur & Kyohei Fujita & Bianca M. Salgado & Margaret K. R. Donovan & Hiroko Matsui & Ji Hyun Kim & Agnieszka D’Antonio-Chronowska & Matteo D’Antonio & Kelly A. Frazer, 2023. "eQTL mapping in fetal-like pancreatic progenitor cells reveals early developmental insights into diabetes risk," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    6. Santiago Diaz-Torres & Samantha Sze-Yee Lee & Luis M. García-Marín & Adrian I. Campos & Garreth Lingham & Jue-Sheng Ong & David A. Mackey & Kathryn P. Burdon & Michael Hunter & Xianjun Dong & Stuart M, 2024. "Uncovering genetic loci and biological pathways associated with age-related cataracts through GWAS meta-analysis," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    7. Marlie M. Maestas & Matthew Ishahak & Punn Augsornworawat & Daniel A. Veronese-Paniagua & Kristina G. Maxwell & Leonardo Velazco-Cruz & Erica Marquez & Jiameng Sun & Mira Shunkarova & Sarah E. Gale & , 2024. "Identification of unique cell type responses in pancreatic islets to stress," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    8. Parker C. Wilson & Yoshiharu Muto & Haojia Wu & Anil Karihaloo & Sushrut S. Waikar & Benjamin D. Humphreys, 2022. "Multimodal single cell sequencing implicates chromatin accessibility and genetic background in diabetic kidney disease progression," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    9. Paul M. H. Tran & Fran Dong & Eileen Kim & Katherine P. Richardson & Lynn K. H. Tran & Kathleen Waugh & Diane Hopkins & Richard D. Cummings & Peng George Wang & Marian J. Rewers & Jin-Xiong She & Shar, 2022. "Use of a glycomics array to establish the anti-carbohydrate antibody repertoire in type 1 diabetes," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    10. Clara Albiñana & Zhihong Zhu & Nis Borbye-Lorenzen & Sanne Grundvad Boelt & Arieh S. Cohen & Kristin Skogstrand & Naomi R. Wray & Joana A. Revez & Florian Privé & Liselotte V. Petersen & Cynthia M. Bu, 2023. "Genetic correlates of vitamin D-binding protein and 25-hydroxyvitamin D in neonatal dried blood spots," Nature Communications, Nature, vol. 14(1), pages 1-16, December.

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