title: Quantitative analysis of lungs and airways with CT in subjects with the chronic obstructive pulmonary disease (COPD) candidate FAM13A gene: case control study for CT quantification in COPD risk gene.
abstract: OBJECTIVE
  To investigate the relationship between a chronic obstructive pulmonary disease (COPD) candidate gene, based on a genomewide association study, and computed tomographic (CT) quantitative analysis; and to find a phenotype in the COPD candidate FAM13A gene.
  
  
  METHODS
  This study was conducted in subclinical male smokers between 2 groups with matched age and smoking status; 162 subjects (mean age, 58 years) with risk (CTGA, n = 85) and reference (TCAG, n = 77) diplotypes replicated through genomewide association study underwent chest CT for quantitative analysis of lungs and airways. We analyzed the measures in both the risk and reference groups using a 2-sample t test.
  
  
  RESULTS
  Subjects with the risk CTGA diplotype had significantly higher total lung volume and emphysema index than the reference TCAG diplotype (P = 0.04). Mean lung density was significantly lower (P < 0.05) in the risk group. However, in the analysis of airways, wall area, luminal area, wall and lumen area ratio, and mean lung density on expiratory and inspiratory phases, no significant differences between the 2 groups were seen.
  
  
  CONCLUSIONS
  There is a strong relationship between CT quantitative analysis and the COPD candidate gene. Furthermore, the CTGA diplotype was associated with emphysema among the phenotypes of COPD.
authors.affiliation: From the *Departments of Radiology, and †Pulmonology, Korea University Ansan Hospital, Ansan, Korea; ‡Yonsei University Graduate School, Public Health (Epidemiology), Seoul, Korea; §The Korean Genome and Epidemiology Study, Epidemiology, Ansan, Korea; ∥Department of Radiology, Korea University Guro Hospital Seoul, Korea; ¶Department of Radiology, Korea University Anam Hospital, Seoul, Korea; #Department of Radiology, Soon Chun Hyang University Bucheon Hospital, Bucheon, Korea; and **Department of Clinical Epidemiology and Biostatics, Asan Medical Center, Seoul, Korea.
authors.forename: Ji Yung
authors.initials: JY
authors.lastname: Choo
authors.forename: Ki Yeol
authors.initials: KY
authors.lastname: Lee
authors.forename: Chol
authors.initials: C
authors.lastname: Shin
authors.forename: Soriul
authors.initials: S
authors.lastname: Kim
authors.forename: Seung Ku
authors.initials: SK
authors.lastname: Lee
authors.forename: Eun-Young
authors.initials: EY
authors.lastname: Kang
authors.forename: Yu Whan
authors.initials: YW
authors.lastname: Oh
authors.forename: Sang Hyun
authors.initials: SH
authors.lastname: Paik
authors.forename: Baek Hyun
authors.initials: BH
authors.lastname: Kim
authors.forename: Bo-Kyung
authors.initials: BK
authors.lastname: Je
authors.forename: Jung Bok
authors.initials: JB
authors.lastname: Lee
mesh_terms: D000368:Aged; D016022:Case-Control Studies; D020690:GTPase-Activating Proteins / Q000235:genetics*; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D029424:Pulmonary Disease, Chronic Obstructive / Q000000981:diagnostic imaging* / Q000235:genetics*; D012129:Respiratory Function Tests / Q000379:methods / Q000706:statistics & numerical data; D012307:Risk Factors; D012907:Smoking; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: C570078:FAM13A protein, human; D020690:GTPase-Activating Proteins