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PGWD: Integrating Personal Genome for Warfarin Dosing

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Abstract

Warfarin is a drug normally used in the prevention of thrombosis and the formation of blood clots. The dosage of warfarin is strongly affected by genetic variants of CYP2C9 and VKORC1 genes. Current technologies for detecting the variants of these genes are mainly based on real-time PCR. In recent years, due to the rapidly dropping cost of whole genome sequencing and genotyping, more and more people get their whole genome sequenced or genotyped. However, current software for warfarin dosing prediction is based on low-throughput genetic information from either real-time PCR or melting curve methods. There is no bioinformatics tool available that can take the high-throughput genome sequencing data as input and determine the accurate dosage of warfarin. Here, we present PGWD, a web tool that analyzes personal genome sequencing data and integrates with clinical information for warfarin dosing.

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Acknowledgments

This research is supported by the National Natural Science Foundation of China (Grant No. 31200688).

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Authors and Affiliations

  1. Department of Biology, South University of Science and Technology of China, Shenzhen, China

    Yidan Pan, Ronghai Cheng, Zhoufang Li, Yujun Zhao & Jiankui He

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  1. Yidan Pan
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  2. Ronghai Cheng
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  3. Zhoufang Li
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  4. Yujun Zhao
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  5. Jiankui He
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Correspondence to Jiankui He.

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Pan, Y., Cheng, R., Li, Z. et al. PGWD: Integrating Personal Genome for Warfarin Dosing. Interdiscip Sci Comput Life Sci 8, 23–27 (2016). https://doi.org/10.1007/s12539-015-0277-6

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  • DOI: https://doi.org/10.1007/s12539-015-0277-6

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