Skip to main content

Advertisement

Log in

The eQTL analysis to discover unique eGFR-related SNPs for the Taiwanese population

  • Research Letter
  • Published:
Journal of Nephrology Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Data availability

The expression data of tissue-specific samples from GTEx (https://gtexportal.org/home/, GTEx Analysis V8) [5] and Nephroseq (https://v5.nephroseq.org) were used for further analyses.

References

  1. Chen YC, Wong HS, Wu MY, Chou WH, Kao CC, Chao CH, Chang WC, Wu MS (2022) Genome-wide association study for eGFR in a Taiwanese population. Clin J Am Soc Nephrol 17(11):1598–1608. https://doi.org/10.2215/CJN.02180222

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Arnold M, Raffler J, Pfeufer A, Suhre K, Kastenmuller G (2015) SNiPA: an interactive, genetic variant-centered annotation browser. Bioinformatics 31(8):1334–1336. https://doi.org/10.1093/bioinformatics/btu779

    Article  PubMed  Google Scholar 

  3. Nagai A, Hirata M, Kamatani Y, Muto K, Matsuda K, Kiyohara Y, Ninomiya T, Tamakoshi A, Yamagata Z, Mushiroda T, Murakami Y, Yuji K, Furukawa Y, Zembutsu H, Tanaka T, Ohnishi Y, Nakamura Y, BioBank Japan Cooperative Hospital G, Kubo M (2017) Overview of the BioBank Japan Project: study design and profile. J Epidemiol 27(3S):S2–S8. https://doi.org/10.1016/j.je.2016.12.005

    Article  PubMed  PubMed Central  Google Scholar 

  4. Stanzick KJ, Li Y, Schlosser P, Gorski M, Wuttke M, Thomas LF, Rasheed H, Rowan BX, Graham SE, Vanderweff BR, Patil SB, Program VAMV, Robinson-Cohen C, Gaziano JM, O’Donnell CJ, Willer CJ, Hallan S, Asvold BO, Gessner A, Hung AM, Pattaro C, Kottgen A, Stark KJ, Heid IM, Winkler TW (2021) Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals. Nat Commun 12(1):4350. https://doi.org/10.1038/s41467-021-24491-0

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Carithers LJ, Moore HM (2015) The genotype-tissue expression (GTEx) project. Biopreserv Biobank 13(5):307–308. https://doi.org/10.1089/bio.2015.29031.hmm

    Article  PubMed  PubMed Central  Google Scholar 

  6. Sheng X, Guan Y, Ma Z, Wu J, Liu H, Qiu C, Vitale S, Miao Z, Seasock MJ, Palmer M, Shin MK, Duffin KL, Pullen SS, Edwards TL, Hellwege JN, Hung AM, Li M, Voight BF, Coffman TM, Brown CD, Susztak K (2021) Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments. Nat Genet 53(9):1322–1333. https://doi.org/10.1038/s41588-021-00909-9

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Mahoney ZX, Sammut B, Xavier RJ, Cunningham J, Go G, Brim KL, Stappenbeck TS, Miner JH, Swat W (2006) Discs-large homolog 1 regulates smooth muscle orientation in the mouse ureter. Proc Natl Acad Sci USA 103(52):19872–19877. https://doi.org/10.1073/pnas.0609326103

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  8. Kim ST, Ahn SY, Swat W, Miner JH (2014) DLG1 influences distal ureter maturation via a non-epithelial cell autonomous mechanism involving reduced retinoic acid signaling, Ret expression, and apoptosis. Dev Biol 390(2):160–169. https://doi.org/10.1016/j.ydbio.2014.03.014

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Uhlen M, Fagerberg L, Hallstrom BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson A, Kampf C, Sjostedt E, Asplund A, Olsson I, Edlund K, Lundberg E, Navani S, Szigyarto CA, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist PH, Berling H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Ponten F (2015) Proteomics. Tissue-based map of the human proteome. Science 347(6220):12619. https://doi.org/10.1126/science.1260419

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This work was supported by NSYSU-KMU JOINT RESEARCH PROJECT, (#NSYSUKMU 111-P21), Kaohsiung Medical University Hospital (KMUH110-0M12 and KMUH111-1M09), Kaohsiung Medical University (KMUH-DK(B)110003-1), and the Ministry of Science and Technology, Taiwan (Grant No. MOST 110-2222-E-110-008-MY3).

Funding

This research was funded by Ministry of Science and Technology, Grant no [MOST 110-2222-E-110-008-MY3], Medical University Chung-Ho Memorial Hospital, Grant no [KMUH110-0M12 and KMUH111-1M09], Kaohsiung Medical University, Grant nos [KMUH-DK(B)110003-1], [#NSYSUKMU 111-P21], National Sun Yat-sen University, Garnt no [#NSYSUKMU 111-P21].

Author information

Authors and Affiliations

Authors

Contributions

P.H. Wu was responsible for project management, data collection, and writing manuscript; J. Lin was responsible for data analysis and data interpretation; M.C. Kuo was responsible for writing the manuscript and project management; S.H. Yu was responsible for project management, data analysis, and writing manuscript.

Corresponding author

Correspondence to Sung-Huan Yu.

Ethics declarations

Conflict of interest

The authors report no competing interests.

Ethical approval

This article is focused on data analysis and does not involve any studies conducted on human participants or animals by any of the authors.

Informed consent

For this type of study formal consent is not required.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 1971 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wu, PH., Lin, J., Kuo, MC. et al. The eQTL analysis to discover unique eGFR-related SNPs for the Taiwanese population. J Nephrol 37, 249–252 (2024). https://doi.org/10.1007/s40620-023-01793-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40620-023-01793-8

Navigation