Joint Effects of Genetic Variants in Multiple Loci on the Risk of Coronary Artery Disease in Chinese Han Subjects
Background: The aim of the present study was to explore risk variants for coronary artery disease (CAD) and to evaluate their joint effects (quantified by genetic risk score; GRS) on the discrimination of CAD in a Chinese Han sample. Methods and Results: An association analysis of 91 single nucleoti...
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| Veröffentlicht in: | Circulation journal : official journal of the Japanese Circulation Society 2012-01, Vol.76 (8), p.NP-NP |
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| container_title | Circulation journal : official journal of the Japanese Circulation Society |
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| creator | Lv, Xiaofei Zhang, Yuan Rao, Shaoqi Qiu, Jian Wang, Min Luo, Xiaoqin Zuo, Xiaoyu Su, Dongfang Feng, Xiang Yang, Yan Ouyang, Ping Chen, Yibing Li, Xinrui Xiao, Yunjun Ling, Wenhua |
| description | Background: The aim of the present study was to explore risk variants for coronary artery disease (CAD) and to evaluate their joint effects (quantified by genetic risk score; GRS) on the discrimination of CAD in a Chinese Han sample. Methods and Results: An association analysis of 91 single nucleotide polymorphisms (SNPs) with CAD risk was undertaken in 1,007 CAD patients and 889 healthy controls. Two GRSs, counted GRS (cGRS) and weighted GRS (wGRS), were calculated using the significant SNPs, and their discriminant power for CAD was assessed using receiver-operating characteristic (ROC) curve analysis. Eight SNPs (rs11206510, rs10118757, rs2383206, rs501120, rs2075292, rs174547, rs173539, and rs255052) were nominally significantly associated with CAD (P |
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| fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1753528686</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1753528686</sourcerecordid><originalsourceid>FETCH-proquest_miscellaneous_17535286863</originalsourceid><addsrcrecordid>eNqVjc1qwkAUhQexYPrzDnfpJpB_k2WJaUPRjZZuZRpu8NrpHZ07WfTtm4gv4Op8HM7HmakgTrNVmJVJNL9yEVZlli7Uo8gpipIqyqtAXT4ssYem77HzAraHd2T01MGXdqR57IhhOxhPZ4OwsR2BZfBHhB3JzyTU1lnW7g9enccx1iSoBSevPhLjiK1m2A_fp-njWT302gi-3PJJLd-az7oNz85eBhR_-CXp0BjNaAc5xKs8zZOyKIv0juk_xIRPRg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1753528686</pqid></control><display><type>article</type><title>Joint Effects of Genetic Variants in Multiple Loci on the Risk of Coronary Artery Disease in Chinese Han Subjects</title><source>J-STAGE Free</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Lv, Xiaofei ; Zhang, Yuan ; Rao, Shaoqi ; Qiu, Jian ; Wang, Min ; Luo, Xiaoqin ; Zuo, Xiaoyu ; Su, Dongfang ; Feng, Xiang ; Yang, Yan ; Ouyang, Ping ; Chen, Yibing ; Li, Xinrui ; Xiao, Yunjun ; Ling, Wenhua</creator><creatorcontrib>Lv, Xiaofei ; Zhang, Yuan ; Rao, Shaoqi ; Qiu, Jian ; Wang, Min ; Luo, Xiaoqin ; Zuo, Xiaoyu ; Su, Dongfang ; Feng, Xiang ; Yang, Yan ; Ouyang, Ping ; Chen, Yibing ; Li, Xinrui ; Xiao, Yunjun ; Ling, Wenhua</creatorcontrib><description>Background: The aim of the present study was to explore risk variants for coronary artery disease (CAD) and to evaluate their joint effects (quantified by genetic risk score; GRS) on the discrimination of CAD in a Chinese Han sample. Methods and Results: An association analysis of 91 single nucleotide polymorphisms (SNPs) with CAD risk was undertaken in 1,007 CAD patients and 889 healthy controls. Two GRSs, counted GRS (cGRS) and weighted GRS (wGRS), were calculated using the significant SNPs, and their discriminant power for CAD was assessed using receiver-operating characteristic (ROC) curve analysis. Eight SNPs (rs11206510, rs10118757, rs2383206, rs501120, rs2075292, rs174547, rs173539, and rs255052) were nominally significantly associated with CAD (P<0.05), and 5 of them were newly reported. The GRSs derived from the 8 SNPs improved the discrimination of CAD compared to that using 4 conventional risk factors (P=0.002 for cGRS and P=0.009 for wGRS). After 10-fold cross-validation 100 times, the average areas under the curve were 0.668 (95% confidence interval [CI: 0.667-0.669), 0.686 (95% CI: 0.685-0.687) and 0.690 (95% CI: 0.689-0.691) for models with conventional risk factors only, conventional risk factors plus cGRS, and conventional risk factors plus wGRS, respectively. Conclusions: A multigenic GRS, generated by combining multiple gene variants, can improve discrimination of CAD, thereby confirming the joint effects of these gene variants on CAD in this Chinese Han population. (Circ J 2012; 76: 1987-1992)</description><identifier>ISSN: 1346-9843</identifier><identifier>EISSN: 1347-4820</identifier><language>eng</language><ispartof>Circulation journal : official journal of the Japanese Circulation Society, 2012-01, Vol.76 (8), p.NP-NP</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids></links><search><creatorcontrib>Lv, Xiaofei</creatorcontrib><creatorcontrib>Zhang, Yuan</creatorcontrib><creatorcontrib>Rao, Shaoqi</creatorcontrib><creatorcontrib>Qiu, Jian</creatorcontrib><creatorcontrib>Wang, Min</creatorcontrib><creatorcontrib>Luo, Xiaoqin</creatorcontrib><creatorcontrib>Zuo, Xiaoyu</creatorcontrib><creatorcontrib>Su, Dongfang</creatorcontrib><creatorcontrib>Feng, Xiang</creatorcontrib><creatorcontrib>Yang, Yan</creatorcontrib><creatorcontrib>Ouyang, Ping</creatorcontrib><creatorcontrib>Chen, Yibing</creatorcontrib><creatorcontrib>Li, Xinrui</creatorcontrib><creatorcontrib>Xiao, Yunjun</creatorcontrib><creatorcontrib>Ling, Wenhua</creatorcontrib><title>Joint Effects of Genetic Variants in Multiple Loci on the Risk of Coronary Artery Disease in Chinese Han Subjects</title><title>Circulation journal : official journal of the Japanese Circulation Society</title><description>Background: The aim of the present study was to explore risk variants for coronary artery disease (CAD) and to evaluate their joint effects (quantified by genetic risk score; GRS) on the discrimination of CAD in a Chinese Han sample. Methods and Results: An association analysis of 91 single nucleotide polymorphisms (SNPs) with CAD risk was undertaken in 1,007 CAD patients and 889 healthy controls. Two GRSs, counted GRS (cGRS) and weighted GRS (wGRS), were calculated using the significant SNPs, and their discriminant power for CAD was assessed using receiver-operating characteristic (ROC) curve analysis. Eight SNPs (rs11206510, rs10118757, rs2383206, rs501120, rs2075292, rs174547, rs173539, and rs255052) were nominally significantly associated with CAD (P<0.05), and 5 of them were newly reported. The GRSs derived from the 8 SNPs improved the discrimination of CAD compared to that using 4 conventional risk factors (P=0.002 for cGRS and P=0.009 for wGRS). After 10-fold cross-validation 100 times, the average areas under the curve were 0.668 (95% confidence interval [CI: 0.667-0.669), 0.686 (95% CI: 0.685-0.687) and 0.690 (95% CI: 0.689-0.691) for models with conventional risk factors only, conventional risk factors plus cGRS, and conventional risk factors plus wGRS, respectively. Conclusions: A multigenic GRS, generated by combining multiple gene variants, can improve discrimination of CAD, thereby confirming the joint effects of these gene variants on CAD in this Chinese Han population. 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Methods and Results: An association analysis of 91 single nucleotide polymorphisms (SNPs) with CAD risk was undertaken in 1,007 CAD patients and 889 healthy controls. Two GRSs, counted GRS (cGRS) and weighted GRS (wGRS), were calculated using the significant SNPs, and their discriminant power for CAD was assessed using receiver-operating characteristic (ROC) curve analysis. Eight SNPs (rs11206510, rs10118757, rs2383206, rs501120, rs2075292, rs174547, rs173539, and rs255052) were nominally significantly associated with CAD (P<0.05), and 5 of them were newly reported. The GRSs derived from the 8 SNPs improved the discrimination of CAD compared to that using 4 conventional risk factors (P=0.002 for cGRS and P=0.009 for wGRS). After 10-fold cross-validation 100 times, the average areas under the curve were 0.668 (95% confidence interval [CI: 0.667-0.669), 0.686 (95% CI: 0.685-0.687) and 0.690 (95% CI: 0.689-0.691) for models with conventional risk factors only, conventional risk factors plus cGRS, and conventional risk factors plus wGRS, respectively. Conclusions: A multigenic GRS, generated by combining multiple gene variants, can improve discrimination of CAD, thereby confirming the joint effects of these gene variants on CAD in this Chinese Han population. (Circ J 2012; 76: 1987-1992)</abstract></addata></record> |
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| title | Joint Effects of Genetic Variants in Multiple Loci on the Risk of Coronary Artery Disease in Chinese Han Subjects |
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