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Disease genes identification strategies for urolithiasis based on genome-wide association study

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References

  1. Li Y, Willer CJ, Ding J, Scheet P, Abecasis GR (2010) MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes. Genet Epidemiol 34(8):816–834. https://doi.org/10.1002/gepi.20533

    Article  PubMed  PubMed Central  Google Scholar 

  2. Thornton TA (2015) Statistical methods for genome-wide and sequencing association studies of complex traits in related samples. Curr Protoc Hum Genet 84(1):28.21–21.28.29. https://doi.org/10.1002/0471142905.hg0128s84

    Article  Google Scholar 

  3. Pungsrinont T, Nettuwakul C, Sawasdee N, Rungroj N, Sritippayawan S, Yenchitsomanus PT (2021) Association between intelectin-1 variation and human kidney stone disease in northeastern Thai population. Urolithiasis 49(6):521–532. https://doi.org/10.1007/s00240-021-01267-1

    Article  CAS  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Urology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, No. 20, Yuhuangding East Road, Zhifu District, Yantai, 264099, China

    Shiping Song & Yining Zhao

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  1. Shiping Song
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  2. Yining Zhao
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Correspondence to Yining Zhao.

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Song, S., Zhao, Y. Disease genes identification strategies for urolithiasis based on genome-wide association study. Urolithiasis 50, 237–238 (2022). https://doi.org/10.1007/s00240-021-01298-8

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  • DOI: https://doi.org/10.1007/s00240-021-01298-8

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