Genetics of Coronary Artery Disease in Taiwan: A Cardiometabochip Study by the Taichi Consortium
By means of a combination of genome-wide and follow-up studies, recent large-scale association studies of populations of European descent have now identified over 46 loci associated with coronary artery disease (CAD). As part of the TAICHI Consortium, we have collected and genotyped 8556 subjects fr...
Gespeichert in:
| Veröffentlicht in: | PloS one 2016-03, Vol.11 (3), p.e0138014-e0138014 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0138014 |
|---|---|
| container_issue | 3 |
| container_start_page | e0138014 |
| container_title | PloS one |
| container_volume | 11 |
| creator | Assimes, Themistocles L Lee, I-T Juang, Jyh-Ming Guo, Xiuqing Wang, Tzung-Dau Kim, Eric T Lee, Wen-Jane Absher, Devin Chiu, Yen-Feng Hsu, Chih-Cheng Chuang, Lee-Ming Quertermous, Thomas Hsiung, Chao A Rotter, Jerome I Sheu, Wayne H-H Chen, Yii-Der Ida Taylor, Kent D |
| description | By means of a combination of genome-wide and follow-up studies, recent large-scale association studies of populations of European descent have now identified over 46 loci associated with coronary artery disease (CAD). As part of the TAICHI Consortium, we have collected and genotyped 8556 subjects from Taiwan, comprising 5423 controls and 3133 cases with coronary artery disease, for 9087 CAD SNPs using the CardioMetaboChip. We applied penalized logistic regression to ascertain the top SNPs that contribute together to CAD susceptibility in Taiwan. We observed that the 9p21 locus contributes to CAD at the level of genome-wide significance (rs1537372, with the presence of C, the major allele, the effect estimate is -0.216, standard error 0.033, p value 5.8x10-10). In contrast to a previous report, we propose that the 9p21 locus is a single genetic contribution to CAD in Taiwan because: 1) the penalized logistic regression and the follow-up conditional analysis suggested that rs1537372 accounts for all of the CAD association in 9p21, and 2) the high linkage disequilibrium observed for all associated SNPs in 9p21. We also observed evidence for the following loci at a false discovery rate >5%: SH2B3, ADAMTS7, PHACTR1, GGCX, HTRA1, COL4A1, and LARP6-LRRC49. We also took advantage of the fact that penalized methods are an efficient approach to search for gene-by-gene interactions, and observed that two-way interactions between the PHACTR1 and ADAMTS7 loci and between the SH2B3 and COL4A1 loci contribute to CAD risk. Both the similarities and differences between the significance of these loci when compared with significance of loci in studies of populations of European descent underscore the fact that further genetic association of studies in additional populations will provide clues to identify the genetic architecture of CAD across all populations worldwide. |
| doi_str_mv | 10.1371/journal.pone.0138014 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1773812762</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A453471156</galeid><doaj_id>oai_doaj_org_article_dd8819b7031c4305ab91caf7fadce3be</doaj_id><sourcerecordid>A453471156</sourcerecordid><originalsourceid>FETCH-LOGICAL-c758t-6cf4eba98614070ec96603126c5fbaa873a0d567f4a077d2093d884569354ecf3</originalsourceid><addsrcrecordid>eNqNk1Fv0zAQxyMEYmPwDRBEQkLw0GLHjp3wgFQVGJUmTWKDV3NxLq2rNC62A_Tb467Z1KA9ID_YOv_u77vzXZI8p2RKmaTv1rZ3HbTTre1wSigrCOUPklNasmwiMsIeHp1PkiferwnJWSHE4-QkE2WRFQU7TX6cY4fBaJ_aJp1bZztwu3TmAsbto_EIHlPTpddgfkP3Pp2lc3C1sRsMUFm9Mtv0KvT1Lq12aVjhnovGqNR564LpN0-TRw20Hp8N-1ny7fOn6_mXycXl-WI-u5homRdhInTDsYKyEJQTSVCXQhBGM6HzpgIoJANS50I2HIiUdUZKVhcFz0XJco66YWfJy4PutrVeDcXxikrJCppJkUVicSBqC2u1dWYTU1UWjLoxWLdUEEPWLao6atOykjECzRnJoSqphkY2UGtkFUatD8NrfbXBaOyCg3YkOr7pzEot7S_FZclpxqPAm0HA2Z89-qA2xmtsW-jQ9jdx8zwTotzH_eof9P7sBmoJMQHTNTa-q_eiasZzxiWluYjU9B4qrho3RsdOaky0jxzejhwiE_BPWELvvVpcff1_9vL7mH19xK4Q2rDytu2DiZ0zBvkB1M5677C5KzIlaj8It9VQ-0FQwyBEtxfHH3TndNv57C-7FQJT</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1773812762</pqid></control><display><type>article</type><title>Genetics of Coronary Artery Disease in Taiwan: A Cardiometabochip Study by the Taichi Consortium</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Assimes, Themistocles L ; Lee, I-T ; Juang, Jyh-Ming ; Guo, Xiuqing ; Wang, Tzung-Dau ; Kim, Eric T ; Lee, Wen-Jane ; Absher, Devin ; Chiu, Yen-Feng ; Hsu, Chih-Cheng ; Chuang, Lee-Ming ; Quertermous, Thomas ; Hsiung, Chao A ; Rotter, Jerome I ; Sheu, Wayne H-H ; Chen, Yii-Der Ida ; Taylor, Kent D</creator><contributor>Chan, Kelvin Yuen Kwong</contributor><creatorcontrib>Assimes, Themistocles L ; Lee, I-T ; Juang, Jyh-Ming ; Guo, Xiuqing ; Wang, Tzung-Dau ; Kim, Eric T ; Lee, Wen-Jane ; Absher, Devin ; Chiu, Yen-Feng ; Hsu, Chih-Cheng ; Chuang, Lee-Ming ; Quertermous, Thomas ; Hsiung, Chao A ; Rotter, Jerome I ; Sheu, Wayne H-H ; Chen, Yii-Der Ida ; Taylor, Kent D ; Chan, Kelvin Yuen Kwong</creatorcontrib><description>By means of a combination of genome-wide and follow-up studies, recent large-scale association studies of populations of European descent have now identified over 46 loci associated with coronary artery disease (CAD). As part of the TAICHI Consortium, we have collected and genotyped 8556 subjects from Taiwan, comprising 5423 controls and 3133 cases with coronary artery disease, for 9087 CAD SNPs using the CardioMetaboChip. We applied penalized logistic regression to ascertain the top SNPs that contribute together to CAD susceptibility in Taiwan. We observed that the 9p21 locus contributes to CAD at the level of genome-wide significance (rs1537372, with the presence of C, the major allele, the effect estimate is -0.216, standard error 0.033, p value 5.8x10-10). In contrast to a previous report, we propose that the 9p21 locus is a single genetic contribution to CAD in Taiwan because: 1) the penalized logistic regression and the follow-up conditional analysis suggested that rs1537372 accounts for all of the CAD association in 9p21, and 2) the high linkage disequilibrium observed for all associated SNPs in 9p21. We also observed evidence for the following loci at a false discovery rate >5%: SH2B3, ADAMTS7, PHACTR1, GGCX, HTRA1, COL4A1, and LARP6-LRRC49. We also took advantage of the fact that penalized methods are an efficient approach to search for gene-by-gene interactions, and observed that two-way interactions between the PHACTR1 and ADAMTS7 loci and between the SH2B3 and COL4A1 loci contribute to CAD risk. Both the similarities and differences between the significance of these loci when compared with significance of loci in studies of populations of European descent underscore the fact that further genetic association of studies in additional populations will provide clues to identify the genetic architecture of CAD across all populations worldwide.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0138014</identifier><identifier>PMID: 26982883</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Binding sites ; Bioinformatics ; Biology and Life Sciences ; Biomedical research ; Cardiology ; Cardiovascular disease ; Case-Control Studies ; Cell adhesion & migration ; Cohort Studies ; Consortia ; Coronary artery ; Coronary artery disease ; Coronary Artery Disease - genetics ; Coronary heart disease ; Coronary vessels ; Descent ; Disease control ; Gene expression ; Genetic aspects ; Genetic susceptibility ; Genetics ; Genome-Wide Association Study ; Genomes ; Genomics ; Health sciences ; Heart diseases ; Hospitals ; Humans ; Identification and classification ; Internal medicine ; Linkage disequilibrium ; Loci ; Medical research ; Medicine ; Medicine and Health Sciences ; Metabolism ; Pediatrics ; People and Places ; Physical Sciences ; Polymorphism, Single Nucleotide ; Population ; Population studies ; Populations ; Principal components analysis ; Regression analysis ; Risk factors ; Single nucleotide polymorphisms ; Single-nucleotide polymorphism ; Social Sciences ; Standard error ; Studies ; Taiwan</subject><ispartof>PloS one, 2016-03, Vol.11 (3), p.e0138014-e0138014</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Assimes et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Assimes et al 2016 Assimes et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-6cf4eba98614070ec96603126c5fbaa873a0d567f4a077d2093d884569354ecf3</citedby><cites>FETCH-LOGICAL-c758t-6cf4eba98614070ec96603126c5fbaa873a0d567f4a077d2093d884569354ecf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4794124/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4794124/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53770,53772,79347,79348</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26982883$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Chan, Kelvin Yuen Kwong</contributor><creatorcontrib>Assimes, Themistocles L</creatorcontrib><creatorcontrib>Lee, I-T</creatorcontrib><creatorcontrib>Juang, Jyh-Ming</creatorcontrib><creatorcontrib>Guo, Xiuqing</creatorcontrib><creatorcontrib>Wang, Tzung-Dau</creatorcontrib><creatorcontrib>Kim, Eric T</creatorcontrib><creatorcontrib>Lee, Wen-Jane</creatorcontrib><creatorcontrib>Absher, Devin</creatorcontrib><creatorcontrib>Chiu, Yen-Feng</creatorcontrib><creatorcontrib>Hsu, Chih-Cheng</creatorcontrib><creatorcontrib>Chuang, Lee-Ming</creatorcontrib><creatorcontrib>Quertermous, Thomas</creatorcontrib><creatorcontrib>Hsiung, Chao A</creatorcontrib><creatorcontrib>Rotter, Jerome I</creatorcontrib><creatorcontrib>Sheu, Wayne H-H</creatorcontrib><creatorcontrib>Chen, Yii-Der Ida</creatorcontrib><creatorcontrib>Taylor, Kent D</creatorcontrib><title>Genetics of Coronary Artery Disease in Taiwan: A Cardiometabochip Study by the Taichi Consortium</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>By means of a combination of genome-wide and follow-up studies, recent large-scale association studies of populations of European descent have now identified over 46 loci associated with coronary artery disease (CAD). As part of the TAICHI Consortium, we have collected and genotyped 8556 subjects from Taiwan, comprising 5423 controls and 3133 cases with coronary artery disease, for 9087 CAD SNPs using the CardioMetaboChip. We applied penalized logistic regression to ascertain the top SNPs that contribute together to CAD susceptibility in Taiwan. We observed that the 9p21 locus contributes to CAD at the level of genome-wide significance (rs1537372, with the presence of C, the major allele, the effect estimate is -0.216, standard error 0.033, p value 5.8x10-10). In contrast to a previous report, we propose that the 9p21 locus is a single genetic contribution to CAD in Taiwan because: 1) the penalized logistic regression and the follow-up conditional analysis suggested that rs1537372 accounts for all of the CAD association in 9p21, and 2) the high linkage disequilibrium observed for all associated SNPs in 9p21. We also observed evidence for the following loci at a false discovery rate >5%: SH2B3, ADAMTS7, PHACTR1, GGCX, HTRA1, COL4A1, and LARP6-LRRC49. We also took advantage of the fact that penalized methods are an efficient approach to search for gene-by-gene interactions, and observed that two-way interactions between the PHACTR1 and ADAMTS7 loci and between the SH2B3 and COL4A1 loci contribute to CAD risk. Both the similarities and differences between the significance of these loci when compared with significance of loci in studies of populations of European descent underscore the fact that further genetic association of studies in additional populations will provide clues to identify the genetic architecture of CAD across all populations worldwide.</description><subject>Aged</subject><subject>Binding sites</subject><subject>Bioinformatics</subject><subject>Biology and Life Sciences</subject><subject>Biomedical research</subject><subject>Cardiology</subject><subject>Cardiovascular disease</subject><subject>Case-Control Studies</subject><subject>Cell adhesion & migration</subject><subject>Cohort Studies</subject><subject>Consortia</subject><subject>Coronary artery</subject><subject>Coronary artery disease</subject><subject>Coronary Artery Disease - genetics</subject><subject>Coronary heart disease</subject><subject>Coronary vessels</subject><subject>Descent</subject><subject>Disease control</subject><subject>Gene expression</subject><subject>Genetic aspects</subject><subject>Genetic susceptibility</subject><subject>Genetics</subject><subject>Genome-Wide Association Study</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Health sciences</subject><subject>Heart diseases</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Identification and classification</subject><subject>Internal medicine</subject><subject>Linkage disequilibrium</subject><subject>Loci</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Metabolism</subject><subject>Pediatrics</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Population</subject><subject>Population studies</subject><subject>Populations</subject><subject>Principal components analysis</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Single nucleotide polymorphisms</subject><subject>Single-nucleotide polymorphism</subject><subject>Social Sciences</subject><subject>Standard error</subject><subject>Studies</subject><subject>Taiwan</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1Fv0zAQxyMEYmPwDRBEQkLw0GLHjp3wgFQVGJUmTWKDV3NxLq2rNC62A_Tb467Z1KA9ID_YOv_u77vzXZI8p2RKmaTv1rZ3HbTTre1wSigrCOUPklNasmwiMsIeHp1PkiferwnJWSHE4-QkE2WRFQU7TX6cY4fBaJ_aJp1bZztwu3TmAsbto_EIHlPTpddgfkP3Pp2lc3C1sRsMUFm9Mtv0KvT1Lq12aVjhnovGqNR564LpN0-TRw20Hp8N-1ny7fOn6_mXycXl-WI-u5homRdhInTDsYKyEJQTSVCXQhBGM6HzpgIoJANS50I2HIiUdUZKVhcFz0XJco66YWfJy4PutrVeDcXxikrJCppJkUVicSBqC2u1dWYTU1UWjLoxWLdUEEPWLao6atOykjECzRnJoSqphkY2UGtkFUatD8NrfbXBaOyCg3YkOr7pzEot7S_FZclpxqPAm0HA2Z89-qA2xmtsW-jQ9jdx8zwTotzH_eof9P7sBmoJMQHTNTa-q_eiasZzxiWluYjU9B4qrho3RsdOaky0jxzejhwiE_BPWELvvVpcff1_9vL7mH19xK4Q2rDytu2DiZ0zBvkB1M5677C5KzIlaj8It9VQ-0FQwyBEtxfHH3TndNv57C-7FQJT</recordid><startdate>20160316</startdate><enddate>20160316</enddate><creator>Assimes, Themistocles L</creator><creator>Lee, I-T</creator><creator>Juang, Jyh-Ming</creator><creator>Guo, Xiuqing</creator><creator>Wang, Tzung-Dau</creator><creator>Kim, Eric T</creator><creator>Lee, Wen-Jane</creator><creator>Absher, Devin</creator><creator>Chiu, Yen-Feng</creator><creator>Hsu, Chih-Cheng</creator><creator>Chuang, Lee-Ming</creator><creator>Quertermous, Thomas</creator><creator>Hsiung, Chao A</creator><creator>Rotter, Jerome I</creator><creator>Sheu, Wayne H-H</creator><creator>Chen, Yii-Der Ida</creator><creator>Taylor, Kent D</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20160316</creationdate><title>Genetics of Coronary Artery Disease in Taiwan: A Cardiometabochip Study by the Taichi Consortium</title><author>Assimes, Themistocles L ; Lee, I-T ; Juang, Jyh-Ming ; Guo, Xiuqing ; Wang, Tzung-Dau ; Kim, Eric T ; Lee, Wen-Jane ; Absher, Devin ; Chiu, Yen-Feng ; Hsu, Chih-Cheng ; Chuang, Lee-Ming ; Quertermous, Thomas ; Hsiung, Chao A ; Rotter, Jerome I ; Sheu, Wayne H-H ; Chen, Yii-Der Ida ; Taylor, Kent D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-6cf4eba98614070ec96603126c5fbaa873a0d567f4a077d2093d884569354ecf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Aged</topic><topic>Binding sites</topic><topic>Bioinformatics</topic><topic>Biology and Life Sciences</topic><topic>Biomedical research</topic><topic>Cardiology</topic><topic>Cardiovascular disease</topic><topic>Case-Control Studies</topic><topic>Cell adhesion & migration</topic><topic>Cohort Studies</topic><topic>Consortia</topic><topic>Coronary artery</topic><topic>Coronary artery disease</topic><topic>Coronary Artery Disease - genetics</topic><topic>Coronary heart disease</topic><topic>Coronary vessels</topic><topic>Descent</topic><topic>Disease control</topic><topic>Gene expression</topic><topic>Genetic aspects</topic><topic>Genetic susceptibility</topic><topic>Genetics</topic><topic>Genome-Wide Association Study</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Health sciences</topic><topic>Heart diseases</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Identification and classification</topic><topic>Internal medicine</topic><topic>Linkage disequilibrium</topic><topic>Loci</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Metabolism</topic><topic>Pediatrics</topic><topic>People and Places</topic><topic>Physical Sciences</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Population</topic><topic>Population studies</topic><topic>Populations</topic><topic>Principal components analysis</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>Single nucleotide polymorphisms</topic><topic>Single-nucleotide polymorphism</topic><topic>Social Sciences</topic><topic>Standard error</topic><topic>Studies</topic><topic>Taiwan</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Assimes, Themistocles L</creatorcontrib><creatorcontrib>Lee, I-T</creatorcontrib><creatorcontrib>Juang, Jyh-Ming</creatorcontrib><creatorcontrib>Guo, Xiuqing</creatorcontrib><creatorcontrib>Wang, Tzung-Dau</creatorcontrib><creatorcontrib>Kim, Eric T</creatorcontrib><creatorcontrib>Lee, Wen-Jane</creatorcontrib><creatorcontrib>Absher, Devin</creatorcontrib><creatorcontrib>Chiu, Yen-Feng</creatorcontrib><creatorcontrib>Hsu, Chih-Cheng</creatorcontrib><creatorcontrib>Chuang, Lee-Ming</creatorcontrib><creatorcontrib>Quertermous, Thomas</creatorcontrib><creatorcontrib>Hsiung, Chao A</creatorcontrib><creatorcontrib>Rotter, Jerome I</creatorcontrib><creatorcontrib>Sheu, Wayne H-H</creatorcontrib><creatorcontrib>Chen, Yii-Der Ida</creatorcontrib><creatorcontrib>Taylor, Kent D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Assimes, Themistocles L</au><au>Lee, I-T</au><au>Juang, Jyh-Ming</au><au>Guo, Xiuqing</au><au>Wang, Tzung-Dau</au><au>Kim, Eric T</au><au>Lee, Wen-Jane</au><au>Absher, Devin</au><au>Chiu, Yen-Feng</au><au>Hsu, Chih-Cheng</au><au>Chuang, Lee-Ming</au><au>Quertermous, Thomas</au><au>Hsiung, Chao A</au><au>Rotter, Jerome I</au><au>Sheu, Wayne H-H</au><au>Chen, Yii-Der Ida</au><au>Taylor, Kent D</au><au>Chan, Kelvin Yuen Kwong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genetics of Coronary Artery Disease in Taiwan: A Cardiometabochip Study by the Taichi Consortium</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-03-16</date><risdate>2016</risdate><volume>11</volume><issue>3</issue><spage>e0138014</spage><epage>e0138014</epage><pages>e0138014-e0138014</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>By means of a combination of genome-wide and follow-up studies, recent large-scale association studies of populations of European descent have now identified over 46 loci associated with coronary artery disease (CAD). As part of the TAICHI Consortium, we have collected and genotyped 8556 subjects from Taiwan, comprising 5423 controls and 3133 cases with coronary artery disease, for 9087 CAD SNPs using the CardioMetaboChip. We applied penalized logistic regression to ascertain the top SNPs that contribute together to CAD susceptibility in Taiwan. We observed that the 9p21 locus contributes to CAD at the level of genome-wide significance (rs1537372, with the presence of C, the major allele, the effect estimate is -0.216, standard error 0.033, p value 5.8x10-10). In contrast to a previous report, we propose that the 9p21 locus is a single genetic contribution to CAD in Taiwan because: 1) the penalized logistic regression and the follow-up conditional analysis suggested that rs1537372 accounts for all of the CAD association in 9p21, and 2) the high linkage disequilibrium observed for all associated SNPs in 9p21. We also observed evidence for the following loci at a false discovery rate >5%: SH2B3, ADAMTS7, PHACTR1, GGCX, HTRA1, COL4A1, and LARP6-LRRC49. We also took advantage of the fact that penalized methods are an efficient approach to search for gene-by-gene interactions, and observed that two-way interactions between the PHACTR1 and ADAMTS7 loci and between the SH2B3 and COL4A1 loci contribute to CAD risk. Both the similarities and differences between the significance of these loci when compared with significance of loci in studies of populations of European descent underscore the fact that further genetic association of studies in additional populations will provide clues to identify the genetic architecture of CAD across all populations worldwide.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>26982883</pmid><doi>10.1371/journal.pone.0138014</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2016-03, Vol.11 (3), p.e0138014-e0138014 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1773812762 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Aged Binding sites Bioinformatics Biology and Life Sciences Biomedical research Cardiology Cardiovascular disease Case-Control Studies Cell adhesion & migration Cohort Studies Consortia Coronary artery Coronary artery disease Coronary Artery Disease - genetics Coronary heart disease Coronary vessels Descent Disease control Gene expression Genetic aspects Genetic susceptibility Genetics Genome-Wide Association Study Genomes Genomics Health sciences Heart diseases Hospitals Humans Identification and classification Internal medicine Linkage disequilibrium Loci Medical research Medicine Medicine and Health Sciences Metabolism Pediatrics People and Places Physical Sciences Polymorphism, Single Nucleotide Population Population studies Populations Principal components analysis Regression analysis Risk factors Single nucleotide polymorphisms Single-nucleotide polymorphism Social Sciences Standard error Studies Taiwan |
| title | Genetics of Coronary Artery Disease in Taiwan: A Cardiometabochip Study by the Taichi Consortium |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T06%3A43%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Genetics%20of%20Coronary%20Artery%20Disease%20in%20Taiwan:%20A%20Cardiometabochip%20Study%20by%20the%20Taichi%20Consortium&rft.jtitle=PloS%20one&rft.au=Assimes,%20Themistocles%20L&rft.date=2016-03-16&rft.volume=11&rft.issue=3&rft.spage=e0138014&rft.epage=e0138014&rft.pages=e0138014-e0138014&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0138014&rft_dat=%3Cgale_plos_%3EA453471156%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1773812762&rft_id=info:pmid/26982883&rft_galeid=A453471156&rft_doaj_id=oai_doaj_org_article_dd8819b7031c4305ab91caf7fadce3be&rfr_iscdi=true |