IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-51744-5.html
   My bibliography  Save this article

Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK Biobank

Author

Listed:
  • Robert F. Hillary

    (Optima Partners
    University of Edinburgh
    Biogen Inc.)

  • Danni A. Gadd

    (Optima Partners
    University of Edinburgh
    Biogen Inc.)

  • Zhana Kuncheva

    (Optima Partners
    Biogen Inc.
    The University of Edinburgh)

  • Tasos Mangelis

    (Optima Partners
    Biogen Inc.
    The University of Edinburgh)

  • Tinchi Lin

    (Biogen Inc.)

  • Kyle Ferber

    (Biogen Inc.)

  • Helen McLaughlin

    (Biogen Inc.)

  • Heiko Runz

    (Biogen Inc.)

  • Riccardo E. Marioni

    (Optima Partners
    University of Edinburgh
    Biogen Inc.)

  • Christopher N. Foley

    (Optima Partners
    Biogen Inc.
    The University of Edinburgh)

  • Benjamin B. Sun

    (Biogen Inc.
    University of Cambridge)

Abstract

Understanding how gene-environment interactions (GEIs) influence the circulating proteome could aid in biomarker discovery and validation. The presence of GEIs can be inferred from single nucleotide polymorphisms that associate with phenotypic variability - termed variance quantitative trait loci (vQTLs). Here, vQTL association studies are performed on plasma levels of 1463 proteins in 52,363 UK Biobank participants. A set of 677 independent vQTLs are identified across 568 proteins. They include 67 variants that lack conventional additive main effects on protein levels. Over 1100 GEIs are identified between 101 proteins and 153 environmental exposures. GEI analyses uncover possible mechanisms that explain why 13/67 vQTL-only sites lack corresponding main effects. Additional analyses also highlight how age, sex, epistatic interactions and statistical artefacts may underscore associations between genetic variation and variance heterogeneity. This study establishes the most comprehensive database yet of vQTLs and GEIs for the human proteome.

Suggested Citation

  • Robert F. Hillary & Danni A. Gadd & Zhana Kuncheva & Tasos Mangelis & Tinchi Lin & Kyle Ferber & Helen McLaughlin & Heiko Runz & Riccardo E. Marioni & Christopher N. Foley & Benjamin B. Sun, 2024. "Systematic discovery of gene-environment interactions underlying the human plasma proteome in UK Biobank," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51744-5
    DOI: 10.1038/s41467-024-51744-5
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-51744-5
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-51744-5?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
    ---><---

    References listed on IDEAS

    as
    1. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
    2. Benjamin B. Sun & Joseph C. Maranville & James E. Peters & David Stacey & James R. Staley & James Blackshaw & Stephen Burgess & Tao Jiang & Ellie Paige & Praveen Surendran & Clare Oliver-Williams & Mi, 2018. "Genomic atlas of the human plasma proteome," Nature, Nature, vol. 558(7708), pages 73-79, June.
    3. Jian Yang & Ruth J. F. Loos & Joseph E. Powell & Sarah E. Medland & Elizabeth K. Speliotes & Daniel I. Chasman & Lynda M. Rose & Gudmar Thorleifsson & Valgerdur Steinthorsdottir & Reedik Mägi & Lindsa, 2012. "FTO genotype is associated with phenotypic variability of body mass index," Nature, Nature, vol. 490(7419), pages 267-272, October.
    4. Chen Yao & George Chen & Ci Song & Joshua Keefe & Michael Mendelson & Tianxiao Huan & Benjamin B. Sun & Annika Laser & Joseph C. Maranville & Hongsheng Wu & Jennifer E. Ho & Paul Courchesne & Asya Lya, 2018. "Genome‐wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    5. Kenneth E. Westerman & Timothy D. Majarian & Franco Giulianini & Dong-Keun Jang & Jenkai Miao & Jose C. Florez & Han Chen & Daniel I. Chasman & Miriam S. Udler & Alisa K. Manning & Joanne B. Cole, 2022. "Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    6. Karsten Suhre & Matthias Arnold & Aditya Mukund Bhagwat & Richard J. Cotton & Rudolf Engelke & Johannes Raffler & Hina Sarwath & Gaurav Thareja & Annika Wahl & Robert Kirk DeLisle & Larry Gold & Marij, 2017. "Erratum: Connecting genetic risk to disease end points through the human blood plasma proteome," Nature Communications, Nature, vol. 8(1), pages 1-1, April.
    7. Chen Yao & George Chen & Ci Song & Joshua Keefe & Michael Mendelson & Tianxiao Huan & Benjamin B. Sun & Annika Laser & Joseph C. Maranville & Hongsheng Wu & Jennifer E. Ho & Paul Courchesne & Asya Lya, 2018. "Author Correction: Genome‐wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease," Nature Communications, Nature, vol. 9(1), pages 1-1, December.
    8. Karsten Suhre & Matthias Arnold & Aditya Mukund Bhagwat & Richard J. Cotton & Rudolf Engelke & Johannes Raffler & Hina Sarwath & Gaurav Thareja & Annika Wahl & Robert Kirk DeLisle & Larry Gold & Marij, 2017. "Connecting genetic risk to disease end points through the human blood plasma proteome," Nature Communications, Nature, vol. 8(1), pages 1-14, April.
    9. Guillaume Paré & Nancy R Cook & Paul M Ridker & Daniel I Chasman, 2010. "On the Use of Variance per Genotype as a Tool to Identify Quantitative Trait Interaction Effects: A Report from the Women's Genome Health Study," PLOS Genetics, Public Library of Science, vol. 6(6), pages 1-10, June.
    10. Benjamin B. Sun & Joshua Chiou & Matthew Traylor & Christian Benner & Yi-Hsiang Hsu & Tom G. Richardson & Praveen Surendran & Anubha Mahajan & Chloe Robins & Steven G. Vasquez-Grinnell & Liping Hou & , 2023. "Plasma proteomic associations with genetics and health in the UK Biobank," Nature, Nature, vol. 622(7982), pages 329-338, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maik Pietzner & Eleanor Wheeler & Julia Carrasco-Zanini & Nicola D. Kerrison & Erin Oerton & Mine Koprulu & Jian’an Luan & Aroon D. Hingorani & Steve A. Williams & Nicholas J. Wareham & Claudia Langen, 2021. "Synergistic insights into human health from aptamer- and antibody-based proteomic profiling," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    2. Grace Png & Andrei Barysenka & Linda Repetto & Pau Navarro & Xia Shen & Maik Pietzner & Eleanor Wheeler & Nicholas J. Wareham & Claudia Langenberg & Emmanouil Tsafantakis & Maria Karaleftheri & George, 2021. "Mapping the serum proteome to neurological diseases using whole genome sequencing," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    3. Jia You & Yu Guo & Yi Zhang & Ju-Jiao Kang & Lin-Bo Wang & Jian-Feng Feng & Wei Cheng & Jin-Tai Yu, 2023. "Plasma proteomic profiles predict individual future health risk," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    4. Karsten Suhre & Guhan Ram Venkataraman & Harendra Guturu & Anna Halama & Nisha Stephan & Gaurav Thareja & Hina Sarwath & Khatereh Motamedchaboki & Margaret K. R. Donovan & Asim Siddiqui & Serafim Batz, 2024. "Nanoparticle enrichment mass-spectrometry proteomics identifies protein-altering variants for precise pQTL mapping," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    5. Chen Wang & Tianying Wang & Krzysztof Kiryluk & Ying Wei & Hugues Aschard & Iuliana Ionita-Laza, 2024. "Genome-wide discovery for biomarkers using quantile regression at biobank scale," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    6. Kathryn E. Kemper & Julia Sidorenko & Huanwei Wang & Ben J. Hayes & Naomi R. Wray & Loic Yengo & Matthew C. Keller & Michael Goddard & Peter M. Visscher, 2024. "Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    7. Hamzeh M. Tanha & Dale R. Nyholt, 2022. "Genetic analyses identify pleiotropy and causality for blood proteins and highlight Wnt/β-catenin signalling in migraine," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    8. Kenneth E. Westerman & Timothy D. Majarian & Franco Giulianini & Dong-Keun Jang & Jenkai Miao & Jose C. Florez & Han Chen & Daniel I. Chasman & Miriam S. Udler & Alisa K. Manning & Joanne B. Cole, 2022. "Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    9. Ashley Budu-Aggrey & Anna Kilanowski & Maria K. Sobczyk & Suyash S. Shringarpure & Ruth Mitchell & Kadri Reis & Anu Reigo & Reedik Mägi & Mari Nelis & Nao Tanaka & Ben M. Brumpton & Laurent F. Thomas , 2023. "European and multi-ancestry genome-wide association meta-analysis of atopic dermatitis highlights importance of systemic immune regulation," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    10. 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.
    11. Andrew D Bretherick & Oriol Canela-Xandri & Peter K Joshi & David W Clark & Konrad Rawlik & Thibaud S Boutin & Yanni Zeng & Carmen Amador & Pau Navarro & Igor Rudan & Alan F Wright & Harry Campbell & , 2020. "Linking protein to phenotype with Mendelian Randomization detects 38 proteins with causal roles in human diseases and traits," PLOS Genetics, Public Library of Science, vol. 16(7), pages 1-24, July.
    12. David Stacey & Lingyan Chen & Paulina J. Stanczyk & Joanna M. M. Howson & Amy M. Mason & Stephen Burgess & Stephen MacDonald & Jonathan Langdown & Harriett McKinney & Kate Downes & Neda Farahi & James, 2022. "Elucidating mechanisms of genetic cross-disease associations at the PROCR vascular disease locus," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    13. Andrew A. Brown & Juan J. Fernandez-Tajes & Mun-gwan Hong & Caroline A. Brorsson & Robert W. Koivula & David Davtian & Théo Dupuis & Ambra Sartori & Theodora-Dafni Michalettou & Ian M. Forgie & Jonath, 2023. "Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    14. Lingyan Chen & James E. Peters & Bram Prins & Elodie Persyn & Matthew Traylor & Praveen Surendran & Savita Karthikeyan & Ekaterina Yonova-Doing & Emanuele Angelantonio & David J. Roberts & Nicholas A., 2022. "Systematic Mendelian randomization using the human plasma proteome to discover potential therapeutic targets for stroke," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    15. Richard Howey & So-Youn Shin & Caroline Relton & George Davey Smith & Heather J Cordell, 2020. "Bayesian network analysis incorporating genetic anchors complements conventional Mendelian randomization approaches for exploratory analysis of causal relationships in complex data," PLOS Genetics, Public Library of Science, vol. 16(3), pages 1-35, March.
    16. Fengzhe Xu & Evan Yi-Wen Yu & Xue Cai & Liang Yue & Li-peng Jing & Xinxiu Liang & Yuanqing Fu & Zelei Miao & Min Yang & Menglei Shuai & Wanglong Gou & Congmei Xiao & Zhangzhi Xue & Yuting Xie & Sainan, 2023. "Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    17. Natalie DeForest & Yuqi Wang & Zhiyi Zhu & Jacqueline S. Dron & Ryan Koesterer & Pradeep Natarajan & Jason Flannick & Tiffany Amariuta & Gina M. Peloso & Amit R. Majithia, 2024. "Genome-wide discovery and integrative genomic characterization of insulin resistance loci using serum triglycerides to HDL-cholesterol ratio as a proxy," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    18. Magdalena Zimoń & Yunfeng Huang & Anthi Trasta & Aliaksandr Halavatyi & Jimmy Z. Liu & Chia-Yen Chen & Peter Blattmann & Bernd Klaus & Christopher D. Whelan & David Sexton & Sally John & Wolfgang Hube, 2021. "Pairwise effects between lipid GWAS genes modulate lipid plasma levels and cellular uptake," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    19. Peter Zhukovsky & Earvin S. Tio & Gillian Coughlan & David A. Bennett & Yanling Wang & Timothy J. Hohman & Diego A. Pizzagalli & Benoit H. Mulsant & Aristotle N. Voineskos & Daniel Felsky, 2024. "Genetic influences on brain and cognitive health and their interactions with cardiovascular conditions and depression," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    20. Erik Duijvelaar & Jack Gisby & James E. Peters & Harm Jan Bogaard & Jurjan Aman, 2024. "Longitudinal plasma proteomics reveals biomarkers of alveolar-capillary barrier disruption in critically ill COVID-19 patients," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

    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:15:y:2024:i:1:d:10.1038_s41467-024-51744-5. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.