| Item type |
文献 / Documents(1) |
| 公開日 |
2022-03-15 |
| アクセス権 |
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|
アクセス権 |
open access |
| 資源タイプ |
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|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版社版DOI |
|
|
|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1117/12.2549431 |
|
|
言語 |
ja |
|
|
関連名称 |
10.1117/12.2549431 |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| タイトル |
|
|
タイトル |
Association analysis of SNPs with CT image-based phenotype of emphysema progression in heavy smokers |
|
言語 |
en |
| 著者 |
鈴木, 秀宣
松廣, 幹雄
河田, 佳樹
仁木, 登
井本, 逸勢
ナカノ, ヤスタカ
クスモト, マサヒコ
カネコ, マサヒロ
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
Chronic obstructive pulmonary disease (COPD) is predicted to become the third leading cause of death worldwide by 2030. Smoking is a well-known risk factor in the development of COPD. Association between COPD genes and smoking have been studied. This paper presents an association analysis of single nucleotide polymorphisms (SNPs) with a CT image-based phenotype of emphysema progression in heavy smokers. The emphysema progression was quantitatively represented by the annual increment of low attenuation volume (LAV) on CT scans for five years. 10 candidate SNPs were selected from 316 SNPs in 125 papers of genetic studies of COPD and lung cancer. The genotypes were determined by real-time polymerase chain reaction (PCR) using deoxyribonucleic acid (DNA) extracted from saliva samples. The association analysis was performed by Fisher's exact test and logistic regression analysis. This method was applied to a dataset with 144 participants (71 smokers, 61 past smokers, and 12 non-smokers). The results showed that the genotypes of rs3923564 and rs13180 SNPs were candidate SNPs associated with the CT image based-emphysema progression. |
|
言語 |
en |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
Emphysema |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
single nucleotide polymorphism |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
computed tomography |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
longitudinal follow-up study |
| 書誌情報 |
en : Proceedings of SPIE
巻 11314,
p. 113142D,
発行日 2020-03-16
|
| 収録物ID |
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|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
0277786X |
| 収録物ID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA10619755 |
| 出版者 |
|
|
出版者 |
SPIE |
|
言語 |
en |
| 備考 |
|
|
言語 |
ja |
|
値 |
Hidenobu Suzuki, Mikio Matsuhiro, Yoshiki Kawata, Noboru Niki, Issei Imoto, Yasutaka Nakano, Masahiko Kusumoto, and Masahiro Kaneko "Association analysis of SNPs with CT image-based phenotype of emphysema progression in heavy smokers", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113142D (16 March 2020); https://doi.org/10.1117/12.2549431 |
| 権利情報 |
|
|
言語 |
en |
|
権利情報 |
Copyright 2020 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. |
| EID |
|
|
識別子 |
364094 |
|
識別子タイプ |
URI |
| 言語 |
|
|
言語 |
eng |
procspie_11314_113142D.pdf (545 KB)
