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Whole genome sequencing to identify predictive markers for the risk of drug-induced interstitial lung disease

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  • Chihiro Udagawa
  • Hidehito Horinouchi
  • Kouya Shiraishi
  • Takashi Kohno
  • Takuji Okusaka
  • Hideki Ueno
  • Kenji Tamura
  • Yuichiro Ohe
  • Hitoshi Zembutsu

Abstract

Drug-induced interstitial lung disease (DIILD) is a serious side effect of chemotherapy in cancer patients with an extremely high mortality rate. In this study, to identify genetic variants with greater risk of DIILD, we carried out whole genome sequencing (WGS) of germline DNA samples from 26 patients who developed DIILD, and conducted a case-control association study between these 26 cases and general Japanese population controls registered in the integrative Japanese Genome Variation Database (iJGVD) as a screening study. The associations of 42 single nucleotide variants (SNVs) showing P

Suggested Citation

  • Chihiro Udagawa & Hidehito Horinouchi & Kouya Shiraishi & Takashi Kohno & Takuji Okusaka & Hideki Ueno & Kenji Tamura & Yuichiro Ohe & Hitoshi Zembutsu, 2019. "Whole genome sequencing to identify predictive markers for the risk of drug-induced interstitial lung disease," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-13, October.
    • Handle: RePEc:plo:pone00:0223371
    DOI: 10.1371/journal.pone.0223371
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