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Exploring predictive biomarkers from clinical genome-wide association studies via multidimensional hierarchical mixture models
http://hdl.handle.net/2237/00030227
http://hdl.handle.net/2237/00030227371a70fe-e592-4f51-94c3-8e54e37ba28a
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2019-05-15 | |||||
| タイトル | ||||||
| タイトル | Exploring predictive biomarkers from clinical genome-wide association studies via multidimensional hierarchical mixture models | |||||
| 言語 | en | |||||
| 著者 |
Otani, Takahiro
× Otani, Takahiro× Noma, Hisashi× Sugasawa, Shonosuke× Kuchiba, Aya× Goto, Atsushi× Yamaji, Taiki× Kochi, Yuta× Iwasaki, Motoki× Matsui, Shigeyuki× Tsunoda, Tatsuhiko |
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| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Clinical trials | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Genome-wide association studies | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Predictive markers | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Although the detection of predictive biomarkers is of particular importance for the development of accurate molecular diagnostics, conventional statistical analyses based on gene-by-treatment interaction tests lack sufficient statistical power for this purpose, especially in large-scale clinical genome-wide studies that require an adjustment for multiplicity of a huge number of tests. Here we demonstrate an alternative efficient multi-subgroup screening method using multidimensional hierarchical mixture models developed to overcome this issue, with application to stroke and breast cancer randomized clinical trials with genomic data. We show that estimated effect size distributions of single nucleotide polymorphisms (SNPs) associated with outcomes, which could provide clues for exploring predictive biomarkers, optimizing individualized treatments, and understanding biological mechanisms of diseases. Furthermore, using this method we detected three new SNPs that are associated with blood homocysteine levels, which are strongly associated with the risk of stroke. We also detected six new SNPs that are associated with progression-free survival in breast cancer patients. | |||||
| 言語 | en | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | ファイル公開：2019/07/01 | |||||
| 言語 | ja | |||||
| 出版者 | ||||||
| 出版者 | nature | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 出版タイプ | ||||||
| 出版タイプ | AM | |||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1038/s41431-018-0251-y | |||||
| ISSN（print） | ||||||
| 収録物識別子タイプ | PISSN | |||||
| 収録物識別子 | 1018-4813 | |||||
| 書誌情報 |
en : European Journal of Human Genetics 巻 27, 号 1, p. 140-149, 発行日 2019-01 |
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| 著者版フラグ | ||||||
| 値 | author | |||||
