A GWAS study considering multiple genic/invironmental factors
| Project/Area Number |
25700004
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| Research Category |
Grant-in-Aid for Young Scientists (A)
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| Allocation Type | Partial Multi-year Fund |
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| Research Field |
Statistical science
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| Research Institution | Kyushu University (2016)
Kyushu Institute of Technology (2013-2015) |
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Principal Investigator |
Saigo Hiroto 九州大学, システム情報科学研究院, 准教授 (90586124)
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| Project Period (FY) |
2013-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥6,110,000 (Direct Cost: ¥4,700,000、Indirect Cost: ¥1,410,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | GWAS / SNP / variable selection / kernel methods / hypothesis testing / model selection / カーネル法 / 特徴選択 / モデル選択 / アイテムセットマイニング / 多重検定 / 線形混合モデル / カーネル / ゲノムワイド相関解析(GWAS) / epistasis / 情報量基準 / 頻出パターンマイニング / 国際情報交換、ドイツ |
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| Outline of Final Research Achievements |
(1)Traversing combinatorial space with brand-and-bound search and rigorous multiple testing correction. A combinatorial space spanned by combination of genes contains a large number of false positives. We devised to remove them by employing Tarone’s correction, which resulted in a faster search with higher statistical power.
(2)Estimating the size of combinatorial space by kernel methods: In our computational experiments equipped with polynomial kernels and kernel ridge regression, we have shown that detection of up-to-six degrees interaction was possible. By applying the same method to mouse genotype/phenotype data, we have successfully detected the region in a chromosome that harbors causal genes.
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Report
(5 results)
Research Products
(22 results)
