Cluster analysis in the COPDGene study identifies subtypes of smokers with distinct patterns of airway disease and emphysema.
Cluster analysis in the COPDGene study identifies subtypes of smokers with distinct patterns of airway disease and emphysema.
复制标题
DOI:
10.1136/thoraxjnl-2013-203601
复制
发表时间:
2014-05
期刊:
影响因子:
10
通讯作者:
Cho MH
中科院分区:
文献类型:
--
作者:
Castaldi PJ;Dy J;Ross J;Chang Y;Washko GR;Curran-Everett D;Williams A;Lynch DA;Make BJ;Crapo JD;Bowler RP;Regan EA;Hokanson JE;Kinney GL;Han MK;Soler X;Ramsdell JW;Barr RG;Foreman M;van Beek E;Casaburi R;Criner GJ;Lutz SM;Rennard SI;Santorico S;Sciurba FC;DeMeo DL;Hersh CP;Silverman EK;Cho MH
There is notable heterogeneity in the clinical presentation of patients with COPD. To characterize this heterogeneity, we sought to identify subgroups of smokers by applying cluster analysis to data from the COPDGene Study. We applied a clustering method, k-means, to data from 10,192 smokers in the COPDGene Study. After splitting the sample into a training and validation set, we evaluated three sets of input features across a range of k (user-specified number of clusters). Stable solutions were tested for association with four COPD-related measures and five genetic variants previously associated with COPD at genome-wide significance. The results were confirmed in the validation set. We identified four clusters that can be characterized as 1) relatively resistant smokers (i.e. no/mild obstruction and minimal emphysema despite heavy smoking), 2) mild upper zone emphysema predominant, 3) airway disease predominant, and 4) severe emphysema. All clusters are strongly associated with COPD-related clinical characteristics, including exacerbations and dyspnea (p<0.001). We found strong genetic associations between the mild upper zone emphysema group and rs1980057 near HHIP, and between the severe emphysema group and rs8034191 in the chromosome 15q region (p<0.001). All significant associations were replicated at p<0.05 in the validation sample (12/12 associations with clinical measures and 2/2 genetic associations). Cluster analysis identifies four subgroups of smokers that show robust associations with clinical characteristics of COPD and known COPD-associated genetic variants.
登录
查看更多内容
影响因子:
5.8
作者:
Agusti A;Calverley PM;Celli B;Coxson HO;Edwards LD;Lomas DA;MacNee W;Miller BE;Rennard S;Silverman EK;Tal-Singer R;Wouters E;Yates JC;Vestbo J;Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) investigators
通讯作者:
Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) investigators
影响因子:
3.5
作者:
Cho, Michael H.;Castaldi, Peter J.;Silverman, Edwin K.
通讯作者:
Silverman, Edwin K.
DOI:
10.1198/016214508000000544
发表时间:
2008-09-01
影响因子:
3.7
作者:
Fraiman, Ricardo;Justel, Ana;Svarc, Marcela
通讯作者:
Svarc, Marcela
影响因子:
4.5
作者:
Pillai SG;Ge D;Zhu G;Kong X;Shianna KV;Need AC;Feng S;Hersh CP;Bakke P;Gulsvik A;Ruppert A;Lødrup Carlsen KC;Roses A;Anderson W;Rennard SI;Lomas DA;Silverman EK;Goldstein DB;ICGN Investigators
通讯作者:
ICGN Investigators
影响因子:
30.8
作者:
通讯作者:
--