IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-47805-4.html
   My bibliography  Save this article

Large-scale cross-ancestry genome-wide meta-analysis of serum urate

Author

Listed:
  • Chamlee Cho

    (Sungkyunkwan University, Samsung Medical Center)

  • Beomsu Kim

    (Sungkyunkwan University, Samsung Medical Center)

  • Dan Say Kim

    (Sungkyunkwan University, Samsung Medical Center)

  • Mi Yeong Hwang

    (National Institute of Health)

  • Injeong Shim

    (Sungkyunkwan University, Samsung Medical Center)

  • Minku Song

    (Sungkyunkwan University, Samsung Medical Center)

  • Yeong Chan Lee

    (Samsung Medical Center)

  • Sang-Hyuk Jung

    (University of Pennsylvania)

  • Sung Kweon Cho

    (Ajou University School of Medicine (AUSOM))

  • Woong-Yang Park

    (Samsung Medical Center, Sungkyunkwan University School of Medicine)

  • Woojae Myung

    (Seoul National University Bundang Hospital)

  • Bong-Jo Kim

    (National Institute of Health)

  • Ron Do

    (Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai)

  • Hyon K. Choi

    (Allergy and Immunology, Massachusetts General Hospital, Harvard Medical School)

  • Tony R. Merriman

    (University of Otago
    University of Alabama at Birmingham)

  • Young Jin Kim

    (National Institute of Health)

  • Hong-Hee Won

    (Sungkyunkwan University, Samsung Medical Center
    Samsung Medical Center, Sungkyunkwan University School of Medicine)

Abstract

Hyperuricemia is an essential causal risk factor for gout and is associated with cardiometabolic diseases. Given the limited contribution of East Asian ancestry to genome-wide association studies of serum urate, the genetic architecture of serum urate requires exploration. A large-scale cross-ancestry genome-wide association meta-analysis of 1,029,323 individuals and ancestry-specific meta-analysis identifies a total of 351 loci, including 17 previously unreported loci. The genetic architecture of serum urate control is similar between European and East Asian populations. A transcriptome-wide association study, enrichment analysis, and colocalization analysis in relevant tissues identify candidate serum urate-associated genes, including CTBP1, SKIV2L, and WWP2. A phenome-wide association study using polygenic risk scores identifies serum urate-correlated diseases including heart failure and hypertension. Mendelian randomization and mediation analyses show that serum urate-associated genes might have a causal relationship with serum urate-correlated diseases via mediation effects. This study elucidates our understanding of the genetic architecture of serum urate control.

Suggested Citation

  • Chamlee Cho & Beomsu Kim & Dan Say Kim & Mi Yeong Hwang & Injeong Shim & Minku Song & Yeong Chan Lee & Sang-Hyuk Jung & Sung Kweon Cho & Woong-Yang Park & Woojae Myung & Bong-Jo Kim & Ron Do & Hyon K., 2024. "Large-scale cross-ancestry genome-wide meta-analysis of serum urate," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47805-4
    DOI: 10.1038/s41467-024-47805-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-47805-4
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-47805-4?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. Tian Ge & Chia-Yen Chen & Yang Ni & Yen-Chen Anne Feng & Jordan W. Smoller, 2019. "Polygenic prediction via Bayesian regression and continuous shrinkage priors," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    2. Soyeon Kim & Kiwon Kim & Mi Yeong Hwang & Hyunwoong Ko & Sang-Hyuk Jung & Injeong Shim & Soojin Cha & Hyewon Lee & Beomsu Kim & Joohyun Yoon & Tae Hyon Ha & Doh Kwan Kim & Jinho Kim & Woong-Yang Park , 2022. "Shared genetic architectures of subjective well-being in East Asian and European ancestry populations," Nature Human Behaviour, Nature, vol. 6(7), pages 1014-1026, July.
    3. Tune H. Pers & Juha M. Karjalainen & Yingleong Chan & Harm-Jan Westra & Andrew R. Wood & Jian Yang & Julian C. Lui & Sailaja Vedantam & Stefan Gustafsson & Tonu Esko & Tim Frayling & Elizabeth K. Spel, 2015. "Biological interpretation of genome-wide association studies using predicted gene functions," Nature Communications, Nature, vol. 6(1), pages 1-9, May.
    4. Karoline Kuchenbaecker & Nikita Telkar & Theresa Reiker & Robin G. Walters & Kuang Lin & Anders Eriksson & Deepti Gurdasani & Arthur Gilly & Lorraine Southam & Emmanouil Tsafantakis & Maria Karalefthe, 2019. "The transferability of lipid loci across African, Asian and European cohorts," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    5. 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.
    6. Mitja I. Kurki & Juha Karjalainen & Priit Palta & Timo P. Sipilä & Kati Kristiansson & Kati M. Donner & Mary P. Reeve & Hannele Laivuori & Mervi Aavikko & Mari A. Kaunisto & Anu Loukola & Elisa Lahtel, 2023. "Author Correction: FinnGen provides genetic insights from a well-phenotyped isolated population," Nature, Nature, vol. 615(7952), pages 19-19, March.
    7. Seong Kyu Han & Michelle T. McNulty & Christopher J. Benway & Pei Wen & Anya Greenberg & Ana C. Onuchic-Whitford & Dongkeun Jang & Jason Flannick & Noël P. Burtt & Parker C. Wilson & Benjamin D. Humph, 2023. "Mapping genomic regulation of kidney disease and traits through high-resolution and interpretable eQTLs," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    8. Sonia Shah & Albert Henry & Carolina Roselli & Honghuang Lin & Garðar Sveinbjörnsson & Ghazaleh Fatemifar & Åsa K. Hedman & Jemma B. Wilk & Michael P. Morley & Mark D. Chaffin & Anna Helgadottir & Nie, 2020. "Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    9. Young Jin Kim & Sanghoon Moon & Mi Yeong Hwang & Sohee Han & Hye-Mi Jang & Jinhwa Kong & Dong Mun Shin & Kyungheon Yoon & Sung Min Kim & Jong-Eun Lee & Anubha Mahajan & Hyun-Young Park & Mark I. McCar, 2022. "The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    10. Mitja I. Kurki & Juha Karjalainen & Priit Palta & Timo P. Sipilä & Kati Kristiansson & Kati M. Donner & Mary P. Reeve & Hannele Laivuori & Mervi Aavikko & Mari A. Kaunisto & Anu Loukola & Elisa Lahtel, 2023. "FinnGen provides genetic insights from a well-phenotyped isolated population," Nature, Nature, vol. 613(7944), pages 508-518, January.
    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. Ruoyu Tian & Tian Ge & Hyeokmoon Kweon & Daniel B. Rocha & Max Lam & Jimmy Z. Liu & Kritika Singh & Daniel F. Levey & Joel Gelernter & Murray B. Stein & Ellen A. Tsai & Hailiang Huang & Christopher F., 2024. "Whole-exome sequencing in UK Biobank reveals rare genetic architecture for depression," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    2. Andras Gezsi & Sandra Auwera & Hannu Mäkinen & Nora Eszlari & Gabor Hullam & Tamas Nagy & Sarah Bonk & Rubèn González-Colom & Xenia Gonda & Linda Garvert & Teemu Paajanen & Zsofia Gal & Kevin Kirchner, 2024. "Unique genetic and risk-factor profiles in clusters of major depressive disorder-related multimorbidity trajectories," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    3. Jacob Joseph & Chang Liu & Qin Hui & Krishna Aragam & Zeyuan Wang & Brian Charest & Jennifer E. Huffman & Jacob M. Keaton & Todd L. Edwards & Serkalem Demissie & Luc Djousse & Juan P. Casas & J. Micha, 2022. "Genetic architecture of heart failure with preserved versus reduced ejection fraction," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    4. Tuomo Hartonen & Bradley Jermy & Hanna Sõnajalg & Pekka Vartiainen & Kristi Krebs & Andrius Vabalas & Tuija Leino & Hanna Nohynek & Jonas Sivelä & Reedik Mägi & Mark Daly & Hanna M. Ollila & Lili Mila, 2023. "Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in Finland," Nature Human Behaviour, Nature, vol. 7(7), pages 1069-1083, July.
    5. James P. Pirruccello & Paolo Achille & Seung Hoan Choi & Joel T. Rämö & Shaan Khurshid & Mahan Nekoui & Sean J. Jurgens & Victor Nauffal & Shinwan Kany & Kenney Ng & Samuel F. Friedman & Puneet Batra , 2024. "Deep learning of left atrial structure and function provides link to atrial fibrillation risk," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    6. Mattia Cordioli & Andrea Corbetta & Hanna Maria Kariis & Sakari Jukarainen & Pekka Vartiainen & Tuomo Kiiskinen & Matteo Ferro & Markus Perola & Mikko Niemi & Samuli Ripatti & Kelli Lehto & Lili Milan, 2024. "Socio-demographic and genetic risk factors for drug adherence and persistence across 5 common medication classes," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    7. Bingxin Zhao & Yujue Li & Zirui Fan & Zhenyi Wu & Juan Shu & Xiaochen Yang & Yilin Yang & Xifeng Wang & Bingxuan Li & Xiyao Wang & Carlos Copana & Yue Yang & Jinjie Lin & Yun Li & Jason L. Stein & Joa, 2024. "Eye-brain connections revealed by multimodal retinal and brain imaging genetics," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    8. Dmitrii Usoltsev & Nikita Kolosov & Oxana Rotar & Alexander Loboda & Maria Boyarinova & Ekaterina Moguchaya & Ekaterina Kolesova & Anastasia Erina & Kristina Tolkunova & Valeriia Rezapova & Ivan Molot, 2024. "Complex trait susceptibilities and population diversity in a sample of 4,145 Russians," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    9. Hui Chen & Zeyang Wang & Lihai Gong & Qixuan Wang & Wenyan Chen & Jia Wang & Xuelian Ma & Ruofan Ding & Xing Li & Xudong Zou & Mireya Plass & Cheng Lian & Ting Ni & Gong-Hong Wei & Wei Li & Lin Deng &, 2024. "A distinct class of pan-cancer susceptibility genes revealed by an alternative polyadenylation transcriptome-wide association study," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    10. Xiao-Yu He & Bang-Sheng Wu & Liu Yang & Yu Guo & Yue-Ting Deng & Ze-Yu Li & Chen-Jie Fei & Wei-Shi Liu & Yi-Jun Ge & Jujiao Kang & Jianfeng Feng & Wei Cheng & Qiang Dong & Jin-Tai Yu, 2024. "Genetic associations of protein-coding variants in venous thromboembolism," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    11. Jiwoo Lee & Sakari Jukarainen & Antti Karvanen & Padraig Dixon & Neil M. Davies & George Davey Smith & Pradeep Natarajan & Andrea Ganna, 2023. "Quantifying the causal impact of biological risk factors on healthcare costs," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    12. Caitlin E. Carey & Rebecca Shafee & Robbee Wedow & Amanda Elliott & Duncan S. Palmer & John Compitello & Masahiro Kanai & Liam Abbott & Patrick Schultz & Konrad J. Karczewski & Samuel C. Bryant & Caro, 2024. "Principled distillation of UK Biobank phenotype data reveals underlying structure in human variation," Nature Human Behaviour, Nature, vol. 8(8), pages 1599-1615, August.
    13. Alexander T. Williams & Jing Chen & Kayesha Coley & Chiara Batini & Abril Izquierdo & Richard Packer & Erik Abner & Stavroula Kanoni & David J. Shepherd & Robert C. Free & Edward J. Hollox & Nigel J. , 2023. "Genome-wide association study of thyroid-stimulating hormone highlights new genes, pathways and associations with thyroid disease," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    14. Rosalie B. T. M. Sterenborg & Inga Steinbrenner & Yong Li & Melissa N. Bujnis & Tatsuhiko Naito & Eirini Marouli & Tessel E. Galesloot & Oladapo Babajide & Laura Andreasen & Arne Astrup & Bjørn Olav Å, 2024. "Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    15. Henrike O. Heyne & Fanny-Dhelia Pajuste & Julian Wanner & Jennifer I. Daniel Onwuchekwa & Reedik Mägi & Aarno Palotie & Reetta Kälviainen & Mark J. Daly, 2024. "Polygenic risk scores as a marker for epilepsy risk across lifetime and after unspecified seizure events," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    16. Lili Liu & Atlas Khan & Elena Sanchez-Rodriguez & Francesca Zanoni & Yifu Li & Nicholas Steers & Olivia Balderes & Junying Zhang & Priya Krithivasan & Robert A. LeDesma & Clara Fischman & Scott J. Heb, 2022. "Genetic regulation of serum IgA levels and susceptibility to common immune, infectious, kidney, and cardio-metabolic traits," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    17. Yash Patel & Jean Shin & Eeva Sliz & Ariana Tang & Aniket Mishra & Rui Xia & Edith Hofer & Hema Sekhar Reddy Rajula & Ruiqi Wang & Frauke Beyer & Katrin Horn & Max Riedl & Jing Yu & Henry Völzke & Rob, 2024. "Genetic risk factors underlying white matter hyperintensities and cortical atrophy," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    18. Michael G. Levin & Noah L. Tsao & Pankhuri Singhal & Chang Liu & Ha My T. Vy & Ishan Paranjpe & Joshua D. Backman & Tiffany R. Bellomo & William P. Bone & Kiran J. Biddinger & Qin Hui & Ozan Dikilitas, 2022. "Genome-wide association and multi-trait analyses characterize the common genetic architecture of heart failure," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    19. Xingjie Hao & Zhonghe Shao & Ning Zhang & Minghui Jiang & Xi Cao & Si Li & Yunlong Guan & Chaolong Wang, 2023. "Integrative genome-wide analyses identify novel loci associated with kidney stones and provide insights into its genetic architecture," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    20. Fedik Rahimov & Pekka Nieminen & Priyanka Kumari & Emma Juuri & Tiit Nikopensius & Kitt Paraiso & Jakob German & Antti Karvanen & Mart Kals & Abdelrahman G. Elnahas & Juha Karjalainen & Mitja Kurki & , 2024. "High incidence and geographic distribution of cleft palate in Finland are associated with the IRF6 gene," Nature Communications, Nature, vol. 15(1), pages 1-14, 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_s41467-024-47805-4. 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.