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Approaches to Detecting Gene-Environment Interactions in Human Variation Using Genetic Engineering, Remote Sensing and GIS
https://jaxa.repo.nii.ac.jp/records/22404
https://jaxa.repo.nii.ac.jp/records/22404afe59057-cba7-433d-b4ac-492db13cd47d
名前 / ファイル | ライセンス | アクション |
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PA1410038.pdf (330.0 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2015-03-26 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Approaches to Detecting Gene-Environment Interactions in Human Variation Using Genetic Engineering, Remote Sensing and GIS | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | RS (remote sensing); GIS; genetic engineering; G×E interactions; adaptability | |||||
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 | |||||
著者 |
Anno, Sumiko
× Anno, Sumiko× Ohshima, Kazuhiko× Abe, Takashi× 田殿, 武雄× Yamamoto, Aya× Igarashi, Tamotsu× Anno, Sumiko× Ohshima, Kazuhiko× Abe, Takashi× Tadono, Takeo× Yamamoto, Aya× Igarashi, Tamotsu |
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著者所属 | ||||||
芝浦工業大学 | ||||||
著者所属 | ||||||
長浜バイオ大学 | ||||||
著者所属 | ||||||
新潟大学 | ||||||
著者所属 | ||||||
宇宙航空研究開発機構(JAXA) | ||||||
著者所属 | ||||||
リモート・センシング技術センター(RESTEC) | ||||||
著者所属 | ||||||
リモート・センシング技術センター(RESTEC) | ||||||
著者所属(英) | ||||||
en | ||||||
Shibaura Institute of Technology | ||||||
著者所属(英) | ||||||
en | ||||||
Nagahama Institute of Bio-Science and Technology | ||||||
著者所属(英) | ||||||
en | ||||||
Niigata University | ||||||
著者所属(英) | ||||||
en | ||||||
Japan Aerospace Exploration Agency(JAXA) | ||||||
著者所属(英) | ||||||
en | ||||||
Remote Sensing Technology Center of Japan(RESTEC) | ||||||
著者所属(英) | ||||||
en | ||||||
Remote Sensing Technology Center of Japan(RESTEC) | ||||||
出版者(英) | ||||||
出版者 | David Publishing | |||||
書誌情報 |
en : Journal of Earth Science and Engineering 巻 3, 号 6, p. 371-378, 発行日 2013-06 |
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抄録(英) | ||||||
内容記述タイプ | Other | |||||
内容記述 | Elucidation of the relationships between genetic polymorphisms and environmental exposures can provide insights into the pathways and mechanisms underlying complex traits. A new approach was used to detect G×E (gene-environment) interactions involved in human skin pigmentation variation to better understand the adaptive evolution of skin pigmentation. Specifically, we used genetic engineering, remote UVR (ultraviolet radiation) sensing and GIS (geographic information systems) to integrate the analysis of genetic and environmental factors into a coherent biological framework. Since we expected to generate large datasets for this multidimensional analysis, we used PCA (principal components analysis) as a spatial statistical analysis technique for analyzing the G×E interactions. The results suggest that skin pigmentation may be affected by mutations induced by UVR and support the hypothesis that global variation in skin pigmentation may be the result of localized adaptation to different UVR conditions via natural selection. Analyzing the relationships between heterozygous frequencies for SNP (single nucleotide polymorphism) loci and seasonal UVR levels as the environment changes will help elucidate the selective mechanisms involved in the UVR-induced evolution of skin pigmentation. Skin pigmentation fulfills the criteria for a successful evolutionary G×E interactions model. | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 2159-581X | |||||
権利 | ||||||
権利情報 | (C)2013 David Publishing | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
資料番号 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 資料番号: PA1410038000 |