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Proceedings Paper

Association analysis of SNPs with CT image-based phenotype of emphysema progression in heavy smokers
Author(s): Hidenobu Suzuki; Mikio Matsuhiro; Yoshiki Kawata; Noboru Niki; Issei Imoto; Yasutaka Nakano; Masahiko Kusumoto; Masahiro Kaneko
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Paper Abstract

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 imagebased 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.

Paper Details

Date Published: 16 March 2020
PDF: 6 pages
Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113142D (16 March 2020); doi: 10.1117/12.2549431
Show Author Affiliations
Hidenobu Suzuki, Tokushima Univ. (Japan)
Mikio Matsuhiro, Tokushima Univ. (Japan)
Yoshiki Kawata, Tokushima Univ. (Japan)
Noboru Niki, Tokushima Univ. (Japan)
Issei Imoto, Aichi Cancer Ctr. Research Institute (Japan)
Yasutaka Nakano, Shiga Univ. of Medical Science (Japan)
Masahiko Kusumoto, National Cancer Ctr. Hospital (Japan)
Masahiro Kaneko, Tokyo Health Service Association (Japan)


Published in SPIE Proceedings Vol. 11314:
Medical Imaging 2020: Computer-Aided Diagnosis
Horst K. Hahn; Maciej A. Mazurowski, Editor(s)

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