徳島大学 教育・研究者情報データベース(EDB)

1. (英) Yamada Hiroki / (日) 山田 博貴 / (読) やまだ ひろき

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2. (英) Ohmori Rio / (日) 大森 理央 / (読) おおもり りお

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3. (英) Okada Naoto

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4. 中村 信元([徳島大学.大学院医歯薬学研究部.医学域.連携研究部門(医学域).寄附講座系(医学域).実践地域診療・医科学])

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5. (英) Kagawa Kumiko

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6. 藤井 志朗([徳島大学.病院.先端医科医療開発研究プロジェクト]/[徳島大学.病院.診療科.内科.血液内科])

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7. 三木 浩和([徳島大学.病院.中央診療施設等.輸血・細胞治療部])

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8. 石澤 啓介([徳島大学.大学院医歯薬学研究部.医学域.医科学部門.内科系.臨床薬理学])

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9. 安倍 正博([徳島大学.大学院医歯薬学研究部.医学域.医科学部門.内科系.血液・内分泌代謝内科学])

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10. 佐藤 陽一([徳島大学.大学院医歯薬学研究部.薬学域.薬科学部門.生命薬学系.医薬品情報学])

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(英) A machine learning model using SNPs obtained from a genome-wide association study predicts the onset of vincristine-induced peripheral neuropathy

(英) Vincristine treatment may cause peripheral neuropathy. In this study, we identified the genes associated with the development of peripheral neuropathy due to vincristine therapy using a genome-wide association study (GWAS) and constructed a predictive model for the development of peripheral neuropathy using genetic information-based machine learning. The study included 72 patients admitted to the Department of Hematology, Tokushima University Hospital, who received vincristine. Of these, 56 were genotyped using the Illumina Asian Screening Array-24 Kit, and a GWAS for the onset of peripheral neuropathy caused by vincristine was conducted. Using Sanger sequencing for 16 validation samples, the top three single nucleotide polymorphisms (SNPs) associated with the onset of peripheral neuropathy were determined. Machine learning was performed using the statistical software R package "caret". The 56 GWAS and 16 validation samples were used as the training and test sets, respectively. Predictive models were constructed using random forest, support vector machine, naive Bayes, and neural network algorithms. According to the GWAS, rs2110179, rs7126100, and rs2076549 were associated with the development of peripheral neuropathy on vincristine administration. Machine learning was performed using these three SNPs to construct a prediction model. A high accuracy of 93.8% was obtained with the support vector machine and neural network using rs2110179 and rs2076549. Thus, peripheral neuropathy development due to vincristine therapy can be effectively predicted by a machine learning prediction model using SNPs associated with it.

1. 佐藤 陽一([徳島大学.大学院医歯薬学研究部.薬学域.薬科学部門.生命薬学系.医薬品情報学])

1. (英) Article.ELocationID: 10.1038/s41397-022-00282-8

2. (英) Article.PublicationTypeList.PublicationType: Journal Article