IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-62463-w.html
   My bibliography  Save this article

European and African ancestry-specific plasma protein-QTL and metabolite-QTL analyses identify ancestry-specific T2D effector proteins and metabolites

Author

Listed:
  • Chengran Yang

    (Washington University School of Medicine
    Washington University School of Medicine)

  • Priyanka Gorijala

    (Washington University School of Medicine
    Washington University School of Medicine)

  • Jigyasha Timsina

    (Washington University School of Medicine
    Washington University School of Medicine)

  • Lihua Wang

    (Washington University School of Medicine
    Washington University School of Medicine)

  • Menghan Liu

    (Washington University School of Medicine
    Washington University School of Medicine)

  • Ciyang Wang

    (Washington University School of Medicine
    Washington University School of Medicine)

  • William Brock

    (Washington University School of Medicine
    Washington University School of Medicine)

  • Yueyao Wang

    (Washington University School of Medicine
    Washington University School of Medicine)

  • Fumihiko Urano

    (MSC 8127-0021-09
    Washington University School of Medicine)

  • Yun Ju Sung

    (Washington University School of Medicine
    Washington University School of Medicine
    Washington University School of Medicine)

  • Carlos Cruchaga

    (Washington University School of Medicine
    Washington University School of Medicine
    Washington University School of Medicine
    Washington University School of Medicine)

Abstract

In this study, we generated and integrated plasma proteomics and metabolomics with the genotype datasets of over 2300 European (EUR) and 400 African (AFR) ancestries to identify ancestry-specific multi-omics quantitative trait loci (QTLs). In total, we mapped 954 AFR pQTLs, 2848 EUR pQTLs, 65 AFR mQTLs, and 490 EUR mQTLs. We further applied these QTLs to ancestry-stratified type-2 diabetes (T2D) risk to pinpoint key proteins and metabolites underlying the disease-associated genetic loci. Using INTACT that combined trait-imputation and colocalization results, we nominated 270 proteins and 72 metabolites from the EUR set; seven proteins and one metabolite from the AFR set as molecular effectors of T2D risk in an ancestry-stratified manner. Here, we show that the integration of genetic and omic studies of different ancestries can be used to identify distinct effector molecular traits underlying the same disease across diverse ancestral groups.

Suggested Citation

  • Chengran Yang & Priyanka Gorijala & Jigyasha Timsina & Lihua Wang & Menghan Liu & Ciyang Wang & William Brock & Yueyao Wang & Fumihiko Urano & Yun Ju Sung & Carlos Cruchaga, 2025. "European and African ancestry-specific plasma protein-QTL and metabolite-QTL analyses identify ancestry-specific T2D effector proteins and metabolites," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-62463-w
    DOI: 10.1038/s41467-025-62463-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-62463-w
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-025-62463-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-62463-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.