IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-28729-3.html
   My bibliography  Save this article

Elucidating mechanisms of genetic cross-disease associations at the PROCR vascular disease locus

Author

Listed:
  • David Stacey

    (University of Cambridge)

  • Lingyan Chen

    (University of Cambridge)

  • Paulina J. Stanczyk

    (University of Leicester
    University of Leicester)

  • Joanna M. M. Howson

    (University of Cambridge
    Novo Nordisk Research Centre Oxford, Innovation Building)

  • Amy M. Mason

    (University of Cambridge)

  • Stephen Burgess

    (University of Cambridge
    University of Cambridge)

  • Stephen MacDonald

    (Cambridge University Hospitals NHS Foundation Trust)

  • Jonathan Langdown

    (Cambridge University Hospitals NHS Foundation Trust)

  • Harriett McKinney

    (University of Cambridge
    National Health Service Blood and Transplant)

  • Kate Downes

    (University of Cambridge
    National Health Service Blood and Transplant
    University of Cambridge)

  • Neda Farahi

    (University of Cambridge)

  • James E. Peters

    (University of Cambridge
    Imperial College London
    Health Data Research UK London)

  • Saonli Basu

    (University of Minnesota)

  • James S. Pankow

    (University of Minnesota)

  • Weihong Tang

    (University of Minnesota)

  • Nathan Pankratz

    (University of Minnesota)

  • Maria Sabater-Lleal

    (Sant Pau Biomedical Research Institute, IIB-Sant Pau
    Karolinska University Hospital)

  • Paul S. Vries

    (The University of Texas Health Science Center at Houston)

  • Nicholas L. Smith

    (University of Washington
    Department of Veterans Affairs Office of Research and Development
    Kaiser Permanente Washington Health Research Institute)

  • Amy D. Gelinas

    (SomaLogic Inc)

  • Daniel J. Schneider

    (SomaLogic Inc)

  • Nebojsa Janjic

    (SomaLogic Inc)

  • Nilesh J. Samani

    (University of Leicester
    University of Leicester)

  • Shu Ye

    (University of Leicester
    University of Leicester)

  • Charlotte Summers

    (University of Cambridge)

  • Edwin R. Chilvers

    (Imperial College London)

  • John Danesh

    (University of Cambridge
    University of Cambridge
    University of Cambridge
    Wellcome Genome Campus and University of Cambridge)

  • Dirk S. Paul

    (University of Cambridge
    University of Cambridge
    Wellcome Sanger Institute)

Abstract

Many individual genetic risk loci have been associated with multiple common human diseases. However, the molecular basis of this pleiotropy often remains unclear. We present an integrative approach to reveal the molecular mechanism underlying the PROCR locus, associated with lower coronary artery disease (CAD) risk but higher venous thromboembolism (VTE) risk. We identify PROCR-p.Ser219Gly as the likely causal variant at the locus and protein C as a causal factor. Using genetic analyses, human recall-by-genotype and in vitro experimentation, we demonstrate that PROCR-219Gly increases plasma levels of (activated) protein C through endothelial protein C receptor (EPCR) ectodomain shedding in endothelial cells, attenuating leukocyte–endothelial cell adhesion and vascular inflammation. We also associate PROCR-219Gly with an increased pro-thrombotic state via coagulation factor VII, a ligand of EPCR. Our study, which links PROCR-219Gly to CAD through anti-inflammatory mechanisms and to VTE through pro-thrombotic mechanisms, provides a framework to reveal the mechanisms underlying similar cross-phenotype associations.

Suggested Citation

  • 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.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-28729-3
    DOI: 10.1038/s41467-022-28729-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-28729-3
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-28729-3?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. Claudia Giambartolomei & Damjan Vukcevic & Eric E Schadt & Lude Franke & Aroon D Hingorani & Chris Wallace & Vincent Plagnol, 2014. "Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics," PLOS Genetics, Public Library of Science, vol. 10(5), pages 1-15, May.
    2. Christopher N. Foley & James R. Staley & Philip G. Breen & Benjamin B. Sun & Paul D. W. Kirk & Stephen Burgess & Joanna M. M. Howson, 2021. "A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits," Nature Communications, Nature, vol. 12(1), pages 1-18, December.
    3. 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.
    4. Laura J. Corbin & Vanessa Y. Tan & David A. Hughes & Kaitlin H. Wade & Dirk S. Paul & Katherine E. Tansey & Frances Butcher & Frank Dudbridge & Joanna M. Howson & Momodou W. Jallow & Catherine John & , 2018. "Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    5. 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.
    6. Gibran Hemani & Kate Tilling & George Davey Smith, 2017. "Orienting the causal relationship between imprecisely measured traits using GWAS summary data," PLOS Genetics, Public Library of Science, vol. 13(11), pages 1-22, November.
    7. 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.
    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Molly Went & Laura Duran-Lozano & Gisli H. Halldorsson & Andrea Gunnell & Nerea Ugidos-Damboriena & Philip Law & Ludvig Ekdahl & Amit Sud & Gudmar Thorleifsson & Malte Thodberg & Thorunn Olafsdottir &, 2024. "Deciphering the genetics and mechanisms of predisposition to multiple myeloma," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    7. 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.
    8. 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.
    9. Marie C. Sadler & Chiara Auwerx & Kaido Lepik & Eleonora Porcu & Zoltán Kutalik, 2022. "Quantifying the role of transcript levels in mediating DNA methylation effects on complex traits and diseases," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    10. 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.
    11. Marta Alcalde-Herraiz & JunQing Xie & Danielle Newby & Clara Prats & Dipender Gill & María Gordillo-Marañón & Daniel Prieto-Alhambra & Martí Català & Albert Prats-Uribe, 2024. "Effect of genetically predicted sclerostin on cardiovascular biomarkers, risk factors, and disease outcomes," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    12. Yuandan Wei & Jianxin Zhen & Liang Hu & Yuqin Gu & Yanhong Liu & Xinxin Guo & Zijing Yang & Hao Zheng & Shiyao Cheng & Fengxiang Wei & Likuan Xiong & Siyang Liu, 2024. "Genome-wide association studies of thyroid-related hormones, dysfunction, and autoimmunity among 85,421 Chinese pregnancies," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    13. 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.
    14. Valur Emilsson & Elias F. Gudmundsson & Thorarinn Jonmundsson & Brynjolfur G. Jonsson & Michael Twarog & Valborg Gudmundsdottir & Zhiguang Li & Nancy Finkel & Stephen Poor & Xin Liu & Robert Esterberg, 2022. "A proteogenomic signature of age-related macular degeneration in blood," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    15. Anna Halama & Shaza Zaghlool & Gaurav Thareja & Sara Kader & Wadha Al Muftah & Marjonneke Mook-Kanamori & Hina Sarwath & Yasmin Ali Mohamoud & Nisha Stephan & Sabine Ameling & Maja Pucic Baković & Jan, 2024. "A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    16. Danielle Rasooly & Gina M. Peloso & Alexandre C. Pereira & Hesam Dashti & Claudia Giambartolomei & Eleanor Wheeler & Nay Aung & Brian R. Ferolito & Maik Pietzner & Eric H. Farber-Eger & Quinn Stanton , 2023. "Genome-wide association analysis and Mendelian randomization proteomics identify drug targets for heart failure," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    17. Abolfazl Doostparast Torshizi & Dongnhu T. Truong & Liping Hou & Bart Smets & Christopher D. Whelan & Shuwei Li, 2024. "Proteogenomic network analysis reveals dysregulated mechanisms and potential mediators in Parkinson’s disease," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    18. 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.
    19. Shaza B. Zaghlool & Anna Halama & Nisha Stephan & Valborg Gudmundsdottir & Vilmundur Gudnason & Lori L. Jennings & Manonanthini Thangam & Emma Ahlqvist & Rayaz A. Malik & Omar M. E. Albagha & Abdul Ba, 2022. "Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    20. Amil M. Shah & Peder L. Myhre & Victoria Arthur & Pranav Dorbala & Humaira Rasheed & Leo F. Buckley & Brian Claggett & Guning Liu & Jianzhong Ma & Ngoc Quynh Nguyen & Kunihiro Matsushita & Chiadi Ndum, 2024. "Large scale plasma proteomics identifies novel proteins and protein networks associated with heart failure development," Nature Communications, Nature, vol. 15(1), pages 1-18, 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:13:y:2022:i:1:d:10.1038_s41467-022-28729-3. 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.