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

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Figshare2019-10-04 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Whole_genome_sequencing_to_identify_predictive_markers_for_the_risk_of_drug-induced_interstitial_lung_disease/9940652
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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 C22orf34) and rs12625311 in intron 1 of the teashirt zinc finger homeobox 2 (TSHZ2), with DIILD (Pcombined = 1.87 × 10−5 and 5.16 × 10−5, respectively). Furthermore, in a subgroup analysis of epidermal growth factor receptor (EGFR)–tyrosine kinase inhibitor (TKI)-induced interstitial lung disease (ILD), we observed seven candidate SNVs that were possibly associated with ILD (P
创建时间:
2019-10-04
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