IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-55147-4.html
   My bibliography  Save this article

SEAD reference panel with 22,134 haplotypes boosts rare variant imputation and genome-wide association analysis in Asian populations

Author

Listed:
  • Meng-Yuan Yang

    (Zhejiang University
    the Second Affiliated Hospital of Soochow University
    Westlake University)

  • Jia-Dong Zhong

    (the Second Affiliated Hospital of Soochow University
    Westlake University)

  • Xin Li

    (Zhejiang University
    the Second Affiliated Hospital of Soochow University
    Westlake University)

  • Geng Tian

    (Binzhou Medical University)

  • Wei-Yang Bai

    (Westlake University)

  • Yi-Hu Fang

    (Jiangxi Medical College)

  • Mo-Chang Qiu

    (Jiangxi Medical College)

  • Cheng-Da Yuan

    (Hangzhou Hospital of Traditional Chinese Medicine)

  • Chun-Fu Yu

    (Shangrao Municipal Hospital)

  • Nan Li

    (Westlake University)

  • Ji-Jian Yang

    (Westlake University)

  • Yu-Heng Liu

    (Westlake University)

  • Shi-Hui Yu

    (Ltd)

  • Wei-Wei Zhao

    (Ltd)

  • Jun-Quan Liu

    (Ltd)

  • Yi Sun

    (Ltd)

  • Pei-Kuan Cong

    (Westlake University)

  • Saber Khederzadeh

    (Westlake University)

  • Pian-Pian Zhao

    (Westlake University)

  • Yu Qian

    (the Second Affiliated Hospital of Soochow University
    Westlake University)

  • Peng-Lin Guan

    (Zhejiang University
    the Second Affiliated Hospital of Soochow University
    Westlake University)

  • Jia-Xuan Gu

    (Zhejiang University
    the Second Affiliated Hospital of Soochow University
    Westlake University)

  • Si-Rui Gai

    (Zhejiang University
    the Second Affiliated Hospital of Soochow University
    Westlake University)

  • Xiang-Jiao Yi

    (Westlake University)

  • Jian-Guo Tao

    (Zhejiang University
    the Second Affiliated Hospital of Soochow University
    Westlake University)

  • Xiang Chen

    (the Second Affiliated Hospital of Soochow University
    Westlake University)

  • Mao-Mao Miao

    (Westlake University)

  • Lan-Xin Lei

    (Medical Biosciences, Imperial College London)

  • Lin Xu

    (Binzhou Medical University)

  • Shu-Yang Xie

    (Binzhou Medical University)

  • Jin-Chen Li

    (Central South University
    Central South University
    Central South University)

  • Ji-Feng Guo

    (Central South University
    Central South University
    Central South University)

  • David Karasik

    (Bar-Ilan University)

  • Liu Yang

    (Fourth Military Medical University)

  • Bei-Sha Tang

    (Central South University
    Central South University
    Central South University)

  • Fei Huang

    (Binzhou Medical University)

  • Hou-Feng Zheng

    (the Second Affiliated Hospital of Soochow University
    Westlake University)

Abstract

Limited whole genome sequencing (WGS) studies in Asian populations result in a lack of representative reference panels, thus hindering the discovery of ancestry-specific variants. Here, we present the South and East Asian reference Database (SEAD) panel ( https://imputationserver.westlake.edu.cn/ ), which integrates WGS data for 11,067 individuals from various sources across 17 Asian countries. The SEAD panel, comprising 22,134 haplotypes and 88,294,957 variants, demonstrates improved imputation accuracy for South Asian populations compared to 1000 Genomes Project, TOPMed, and ChinaMAP panels, with a higher proportion of well-imputed rare variants. For East Asian populations, SEAD shows concordance comparable to ChinaMAP, but outperforming TOPMed. Additionally, we apply the SEAD panel to conduct a genome-wide association study for total hip (Hip) and femoral neck (FN) bone mineral density (BMD) traits in 5369 genotyped Chinese samples. The single-variant test suggests that rare variants near SNTG1 are associated with Hip BMD (rs60103302, MAF = 0.0092, P = 1.67 × 10−7), and variant-set analysis further supports the association (Pslide_window = 9.08 × 10−9, Pgene_centric = 5.27 × 10−8). This association was not reported previously and can only be detected by using Asian reference panels. Preliminary in vitro experiments for one of the rare variants identified provide evidence that it upregulates SNTG1 expression, which could in turn inhibit the proliferation and differentiation of preosteoblasts.

Suggested Citation

  • Meng-Yuan Yang & Jia-Dong Zhong & Xin Li & Geng Tian & Wei-Yang Bai & Yi-Hu Fang & Mo-Chang Qiu & Cheng-Da Yuan & Chun-Fu Yu & Nan Li & Ji-Jian Yang & Yu-Heng Liu & Shi-Hui Yu & Wei-Wei Zhao & Jun-Qua, 2024. "SEAD reference panel with 22,134 haplotypes boosts rare variant imputation and genome-wide association analysis in Asian populations," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-55147-4
    DOI: 10.1038/s41467-024-55147-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-55147-4
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-55147-4?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. Masao Nagasaki & Jun Yasuda & Fumiki Katsuoka & Naoki Nariai & Kaname Kojima & Yosuke Kawai & Yumi Yamaguchi-Kabata & Junji Yokozawa & Inaho Danjoh & Sakae Saito & Yukuto Sato & Takahiro Mimori & Kaor, 2015. "Rare variant discovery by deep whole-genome sequencing of 1,070 Japanese individuals," Nature Communications, Nature, vol. 6(1), pages 1-13, November.
    2. Pei-Kuan Cong & Wei-Yang Bai & Jin-Chen Li & Meng-Yuan Yang & Saber Khederzadeh & Si-Rui Gai & Nan Li & Yu-Heng Liu & Shi-Hui Yu & Wei-Wei Zhao & Jun-Quan Liu & Yi Sun & Xiao-Wei Zhu & Pian-Pian Zhao , 2022. "Genomic analyses of 10,376 individuals in the Westlake BioBank for Chinese (WBBC) pilot project," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    3. Jie Huang & Bryan Howie & Shane McCarthy & Yasin Memari & Klaudia Walter & Josine L. Min & Petr Danecek & Giovanni Malerba & Elisabetta Trabetti & Hou-Feng Zheng & Giovanni Gambaro & J. Brent Richards, 2015. "Improved imputation of low-frequency and rare variants using the UK10K haplotype reference panel," Nature Communications, Nature, vol. 6(1), pages 1-9, November.
    4. Tyler S. Alioto & Ivo Buchhalter & Sophia Derdak & Barbara Hutter & Matthew D. Eldridge & Eivind Hovig & Lawrence E. Heisler & Timothy A. Beck & Jared T. Simpson & Laurie Tonon & Anne-Sophie Sertier &, 2015. "A comprehensive assessment of somatic mutation detection in cancer using whole-genome sequencing," Nature Communications, Nature, vol. 6(1), pages 1-13, December.
    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. Pei-Kuan Cong & Wei-Yang Bai & Jin-Chen Li & Meng-Yuan Yang & Saber Khederzadeh & Si-Rui Gai & Nan Li & Yu-Heng Liu & Shi-Hui Yu & Wei-Wei Zhao & Jun-Quan Liu & Yi Sun & Xiao-Wei Zhu & Pian-Pian Zhao , 2022. "Genomic analyses of 10,376 individuals in the Westlake BioBank for Chinese (WBBC) pilot project," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    2. Kiran Krishnamachari & Dylan Lu & Alexander Swift-Scott & Anuar Yeraliyev & Kayla Lee & Weitai Huang & Sim Ngak Leng & Anders Jacobsen Skanderup, 2022. "Accurate somatic variant detection using weakly supervised deep learning," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    3. van den Berg, Gerard J. & von Hinke, Stephanie & Wang, R. Adele H., 2022. "Prenatal Sugar Consumption and Late-Life Human Capital and Health: Analyses Based on Postwar Rationing and Polygenic Scores," IZA Discussion Papers 15544, Institute of Labor Economics (IZA).
    4. Rozaimi Mohamad Razali & Juan Rodriguez-Flores & Mohammadmersad Ghorbani & Haroon Naeem & Waleed Aamer & Elbay Aliyev & Ali Jubran & Andrew G. Clark & Khalid A. Fakhro & Younes Mokrab, 2021. "Thousands of Qatari genomes inform human migration history and improve imputation of Arab haplotypes," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    5. Wenhan Chen & Yang Wu & Zhili Zheng & Ting Qi & Peter M. Visscher & Zhihong Zhu & Jian Yang, 2021. "Improved analyses of GWAS summary statistics by reducing data heterogeneity and errors," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    6. Shuyan Mei & Ali Karimnezhad & Marie Forest & David R Bickel & Celia M T Greenwood, 2017. "The performance of a new local false discovery rate method on tests of association between coronary artery disease (CAD) and genome-wide genetic variants," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-14, September.
    7. Richard Burns & William J. Young & Nay Aung & Luis R. Lopes & Perry M. Elliott & Petros Syrris & Roberto Barriales-Villa & Catrin Sohrabi & Steffen E. Petersen & Julia Ramírez & Alistair Young & Patri, 2024. "Genetic basis of right and left ventricular heart shape," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    8. 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.
    9. 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.
    10. Sofía Ortín Vela & Michael J. Beyeler & Olga Trofimova & Ilaria Iuliani & Jose D. Vargas Quiros & Victor A. Vries & Ilenia Meloni & Adham Elwakil & Florence Hoogewoud & Bart Liefers & David Presby & W, 2024. "Phenotypic and genetic characteristics of retinal vascular parameters and their association with diseases," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    11. van den Berg, G.J.; & von Hinke, S.; & Wang, R.A.H.;, 2023. "Prenatal Sugar Consumption and Late-Life Human Capital and Health: Analyses Based on Postwar Rationing and Polygenic Indices," Health, Econometrics and Data Group (HEDG) Working Papers 23/11, HEDG, c/o Department of Economics, University of York.
    12. Xinkai Tong & Dong Chen & Jianchao Hu & Shiyao Lin & Ziqi Ling & Huashui Ai & Zhiyan Zhang & Lusheng Huang, 2023. "Accurate haplotype construction and detection of selection signatures enabled by high quality pig genome sequences," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    13. Lina Cai & Tomas Gonzales & Eleanor Wheeler & Nicola D. Kerrison & Felix R. Day & Claudia Langenberg & John R. B. Perry & Soren Brage & Nicholas J. Wareham, 2023. "Causal associations between cardiorespiratory fitness and type 2 diabetes," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    14. Gemma L. Clayton & Maria Carolina Borges & Deborah A. Lawlor, 2024. "The impact of reproductive factors on the metabolic profile of females from menarche to menopause," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    15. Jinlong Shi & Zhilong Jia & Jinxiu Sun & Xiaoreng Wang & Xiaojing Zhao & Chenghui Zhao & Fan Liang & Xinyu Song & Jiawei Guan & Xue Jia & Jing Yang & Qi Chen & Kang Yu & Qian Jia & Jing Wu & Depeng Wa, 2023. "Structural variants involved in high-altitude adaptation detected using single-molecule long-read sequencing," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    16. van den Berg, Gerard J. & von Hinke, Stephanie & H. Wang, R. Adele, 2023. "Prenatal sugar consumption and late-life human capital and health: analyses based on postwar rationing and polygenic indices," Working Paper Series 2023:5, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    17. A. C. Katz-Summercorn & S. Jammula & A. Frangou & I. Peneva & M. O’Donovan & M. Tripathi & S. Malhotra & M. Pietro & S. Abbas & G. Devonshire & W. Januszewicz & A. Blasko & K. Nowicki-Osuch & S. MacRa, 2022. "Multi-omic cross-sectional cohort study of pre-malignant Barrett’s esophagus reveals early structural variation and retrotransposon activity," Nature Communications, Nature, vol. 13(1), pages 1-17, 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_s41467-024-55147-4. 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.