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Sci Data. 2018 Dec 11;5:180284. doi: 10.1038/sdata.2018.284.

Gene-gene and gene-environment interaction data for platinum-based chemotherapy in non-small cell lung cancer.

Wang LY1,2, Cui JJ1,2, Liu JY3, Guo AX1,2, Zhao ZY1,2, Liu YZ1,2, Wu JC4, Li M5, Hu CP5, Gao Y6, Zhou HH1,2, Yin JY1,2,7.

Author information

1
Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, P. R. China.
2
Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, P. R. China.
3
Department of orthopaedics, The First Affiliated Hospital of the University of South China, Hengyang 421001, P. R. China.
4
Department of Cardiovascular, Central Hospital of Shaoyang, Shaoyang 422000, P. R. China.
5
Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha 410008, P. R. China.
6
Department of Thoracic Surgery, Xiangya Hospital, Central South University, Changsha 410008, Changsha, P.R. China.
7
Hunan Provincial Gynecological Cancer Diagnosis and Treatment Engineering Research Center, Changsha 410078, P. R. China.

Abstract

Gene-gene (GXG) and gene-environment (GXE) interactions play important roles in pharmacogenetics study. Simultaneously incorporating multiple single nucleotide polymorphisms (SNPs) and clinical factors is needed to explore the association of their interactions with drug response and toxicity phenotypes. We genotyped 504 SNPs in a total of 490 Chinese non-small cell lung cancer (NSCLC) patients, and the correlation of GXG and GXE interactions with platinum-based chemotherapeutic efficacy and safety were analyzed. In this data descriptor, we shared our data set which could help others to reuse them. All kinds of file types needed for GXG and GXE analysis were supplied. The process of genotyping and data analysis was also introduced step by step.

PMID:
30531820
PMCID:
PMC6289114
DOI:
10.1038/sdata.2018.284
[Indexed for MEDLINE]
Free PMC Article

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