A preliminary study of the relationship between promoter methylation of the ABCG1, GALNT2 and HMGCR genes and coronary heart disease
To investigate the association of ABCG1, GALNT2 and HMGCR genes promoter DNA methylation with coronary heart disease (CHD) and explore the interaction between their methylation status and the CHD patients' clinical characteristics in Han Chinese population. Methylation-specific polymerase chain...
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| creator | Peng, Ping Wang, Lu Yang, Xi Huang, Xiaoyan Ba, Yanna Chen, Xiaoliang Guo, Jian Lian, Jiangfang Zhou, Jianqing |
| description | To investigate the association of ABCG1, GALNT2 and HMGCR genes promoter DNA methylation with coronary heart disease (CHD) and explore the interaction between their methylation status and the CHD patients' clinical characteristics in Han Chinese population.
Methylation-specific polymerase chain reaction (MSP) technology was used to examine the role of the aberrant gene promoter methylation in CHD in Han Chinese population. A total of 85 CHD patients and 54 participants without CHD confirmed by angiography were recruited. 82.8% of the participants with ABCG1 gene promoter hypermethylation have CHD, while only 17.4% of the participants without hypermethylation have it. The average age of the participants with GALNT2 gene promoter hypermethylation is 62.10 ± 8.21, while that of the participants without hypermethylation is 57.28 ± 9.87; in the former group, 75.4% of the participants have CHD, compared to only 50% in the latter group. As for the HMGCR gene, the average age of the participants with promoter hypermethylation is 63.24 ± 8.10 and that of the participants without hypermethylation is 57.79 ± 9.55; its promoter hypermethylation is likely to be related to smoking. Our results indicated a significant statistical association of promoter methylation of the ABCG1 gene with increased risk of CHD (OR = 19.966; 95% CI, 7.319-54.468; P* |
| doi_str_mv | 10.1371/journal.pone.0102265 |
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Methylation-specific polymerase chain reaction (MSP) technology was used to examine the role of the aberrant gene promoter methylation in CHD in Han Chinese population. A total of 85 CHD patients and 54 participants without CHD confirmed by angiography were recruited. 82.8% of the participants with ABCG1 gene promoter hypermethylation have CHD, while only 17.4% of the participants without hypermethylation have it. The average age of the participants with GALNT2 gene promoter hypermethylation is 62.10 ± 8.21, while that of the participants without hypermethylation is 57.28 ± 9.87; in the former group, 75.4% of the participants have CHD, compared to only 50% in the latter group. As for the HMGCR gene, the average age of the participants with promoter hypermethylation is 63.24 ± 8.10 and that of the participants without hypermethylation is 57.79 ± 9.55; its promoter hypermethylation is likely to be related to smoking. Our results indicated a significant statistical association of promoter methylation of the ABCG1 gene with increased risk of CHD (OR = 19.966; 95% CI, 7.319-54.468; P*<0.001; P*: adjusted for age, gender, smoking, lipid level, hypertension, and diabetes). Similar results were obtained for that of the GALNT2 gene (OR = 2.978; 95% CI, 1.335-6.646; P* = 0.008), but not of HMGCR gene (OR = 1.388; 95% CI, 0.572-3.371; P* = 0.469).
The present work provides evidence to support the association of promoter DNA methylation status with the risk profile of CHD. Our data indicates that promoter DNA hypermethylation of the ABCG1 and GALNT2 genes, but not the HMGCR gene, is associated with an increased risk of CHD. CHD, smoking and aging are likely to be the important factors influencing DNA hypermethylation.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0102265</identifier><identifier>PMID: 25084356</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>ABCG1 gene ; Age ; Aged ; Aging ; Angiography ; ATP Binding Cassette Transporter, Subfamily G, Member 1 ; ATP-Binding Cassette Transporters - genetics ; Biology and life sciences ; Biomarkers - blood ; Biomarkers - metabolism ; Cardiovascular disease ; Cardiovascular diseases ; Cardiovascular system ; Cholesterol ; Coronary artery disease ; Coronary Disease - genetics ; Coronary Disease - metabolism ; Coronary vessels ; Deoxyribonucleic acid ; Diabetes mellitus ; DNA ; DNA Methylation ; Enzymes ; Epigenetics ; Family medical history ; Female ; Gene expression ; Genes ; Heart ; Heart diseases ; Hospitals ; Humans ; Hydroxymethylglutaryl CoA Reductases - genetics ; Hypertension ; Laboratories ; Lipids ; Male ; Medicine ; Medicine and Health Sciences ; Methylation ; Middle Aged ; N-Acetylgalactosaminyltransferases - genetics ; Patients ; Plasma ; Polymerase chain reaction ; Polypeptide N-acetylgalactosaminyltransferase ; Population (statistical) ; Promoter Regions, Genetic ; Risk ; Risk assessment ; Smoking ; Statistical analysis</subject><ispartof>PloS one, 2014-08, Vol.9 (8), p.e102265-e102265</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Ping 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>2014 Ping et al 2014 Ping et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-7b07b412eaac36d27a2ccd8fb19346132adee786f0420f7a76687bee0154af753</citedby><cites>FETCH-LOGICAL-c692t-7b07b412eaac36d27a2ccd8fb19346132adee786f0420f7a76687bee0154af753</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/PMC4118847/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4118847/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25084356$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Coleman, William B.</contributor><creatorcontrib>Peng, Ping</creatorcontrib><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Yang, Xi</creatorcontrib><creatorcontrib>Huang, Xiaoyan</creatorcontrib><creatorcontrib>Ba, Yanna</creatorcontrib><creatorcontrib>Chen, Xiaoliang</creatorcontrib><creatorcontrib>Guo, Jian</creatorcontrib><creatorcontrib>Lian, Jiangfang</creatorcontrib><creatorcontrib>Zhou, Jianqing</creatorcontrib><title>A preliminary study of the relationship between promoter methylation of the ABCG1, GALNT2 and HMGCR genes and coronary heart disease</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To investigate the association of ABCG1, GALNT2 and HMGCR genes promoter DNA methylation with coronary heart disease (CHD) and explore the interaction between their methylation status and the CHD patients' clinical characteristics in Han Chinese population.
Methylation-specific polymerase chain reaction (MSP) technology was used to examine the role of the aberrant gene promoter methylation in CHD in Han Chinese population. A total of 85 CHD patients and 54 participants without CHD confirmed by angiography were recruited. 82.8% of the participants with ABCG1 gene promoter hypermethylation have CHD, while only 17.4% of the participants without hypermethylation have it. The average age of the participants with GALNT2 gene promoter hypermethylation is 62.10 ± 8.21, while that of the participants without hypermethylation is 57.28 ± 9.87; in the former group, 75.4% of the participants have CHD, compared to only 50% in the latter group. As for the HMGCR gene, the average age of the participants with promoter hypermethylation is 63.24 ± 8.10 and that of the participants without hypermethylation is 57.79 ± 9.55; its promoter hypermethylation is likely to be related to smoking. Our results indicated a significant statistical association of promoter methylation of the ABCG1 gene with increased risk of CHD (OR = 19.966; 95% CI, 7.319-54.468; P*<0.001; P*: adjusted for age, gender, smoking, lipid level, hypertension, and diabetes). Similar results were obtained for that of the GALNT2 gene (OR = 2.978; 95% CI, 1.335-6.646; P* = 0.008), but not of HMGCR gene (OR = 1.388; 95% CI, 0.572-3.371; P* = 0.469).
The present work provides evidence to support the association of promoter DNA methylation status with the risk profile of CHD. Our data indicates that promoter DNA hypermethylation of the ABCG1 and GALNT2 genes, but not the HMGCR gene, is associated with an increased risk of CHD. CHD, smoking and aging are likely to be the important factors influencing DNA hypermethylation.</description><subject>ABCG1 gene</subject><subject>Age</subject><subject>Aged</subject><subject>Aging</subject><subject>Angiography</subject><subject>ATP Binding Cassette Transporter, Subfamily G, Member 1</subject><subject>ATP-Binding Cassette Transporters - genetics</subject><subject>Biology and life sciences</subject><subject>Biomarkers - blood</subject><subject>Biomarkers - metabolism</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular system</subject><subject>Cholesterol</subject><subject>Coronary artery disease</subject><subject>Coronary Disease - genetics</subject><subject>Coronary Disease - metabolism</subject><subject>Coronary vessels</subject><subject>Deoxyribonucleic acid</subject><subject>Diabetes mellitus</subject><subject>DNA</subject><subject>DNA Methylation</subject><subject>Enzymes</subject><subject>Epigenetics</subject><subject>Family medical history</subject><subject>Female</subject><subject>Gene expression</subject><subject>Genes</subject><subject>Heart</subject><subject>Heart diseases</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hydroxymethylglutaryl CoA Reductases - genetics</subject><subject>Hypertension</subject><subject>Laboratories</subject><subject>Lipids</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Methylation</subject><subject>Middle Aged</subject><subject>N-Acetylgalactosaminyltransferases - genetics</subject><subject>Patients</subject><subject>Plasma</subject><subject>Polymerase chain reaction</subject><subject>Polypeptide N-acetylgalactosaminyltransferase</subject><subject>Population (statistical)</subject><subject>Promoter Regions, Genetic</subject><subject>Risk</subject><subject>Risk assessment</subject><subject>Smoking</subject><subject>Statistical analysis</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</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>eNqNk8GO0zAQhiMEYpeFN0BgaSUEEi2249jpBalU0K1UWGlZuFpOMmlcJXGxHaB3HhynTVct2gPKIcnk-2f-mXii6DnBYxIL8m5tOtuqerwxLYwxwZTy5EF0TiYxHXGK44dHz2fRE-fWGCdxyvnj6IwmOGVxws-jP1O0sVDrRrfKbpHzXbFFpkS-AhTiymvTukpvUAb-F0AbaNMYDxY14KvtHjgIph9mc_IWzafLL7cUqbZAV5_nsxu0ghbc7j031uwKVaCsR4V2oBw8jR6VqnbwbLhfRN8-fbydXY2W1_PFbLoc5XxC_UhkWGSMUFAqj3lBhaJ5XqRlFvpknMRUFQAi5SVmFJdCCc5TkQFgkjBViiS-iF7u825q4-QwQCdJkuCEMDIRgVjsicKotdxY3QSz0igtdwFjVzL41nkNMghEWgocqjNGklSllJISkiKOKWdZX-39UK3LGihyaL1V9UnS0y-truTK_JSMkDRlvZnXQwJrfnTgvGy0y6GuVQum2_kmOLgWNKCX_6D3dzdQKxUa0G1pQt28TyqnjIRpBeu97_E9VLgKaHQeTlupQ_xE8OZEEBgPv_1Kdc7Jxdeb_2evv5-yr47YcGJqXzlTd7szeQqyPZhb45yF8m7IBMt-WQ7TkP2yyGFZguzF8Q-6Ex22I_4LL84Ncw</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Peng, Ping</creator><creator>Wang, Lu</creator><creator>Yang, Xi</creator><creator>Huang, Xiaoyan</creator><creator>Ba, Yanna</creator><creator>Chen, Xiaoliang</creator><creator>Guo, Jian</creator><creator>Lian, Jiangfang</creator><creator>Zhou, Jianqing</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>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>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140801</creationdate><title>A preliminary study of the relationship between promoter methylation of the ABCG1, GALNT2 and HMGCR genes and coronary heart disease</title><author>Peng, Ping ; Wang, Lu ; Yang, Xi ; Huang, Xiaoyan ; Ba, Yanna ; Chen, Xiaoliang ; Guo, Jian ; Lian, Jiangfang ; Zhou, Jianqing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-7b07b412eaac36d27a2ccd8fb19346132adee786f0420f7a76687bee0154af753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>ABCG1 gene</topic><topic>Age</topic><topic>Aged</topic><topic>Aging</topic><topic>Angiography</topic><topic>ATP Binding Cassette Transporter, Subfamily G, Member 1</topic><topic>ATP-Binding Cassette Transporters - genetics</topic><topic>Biology and life sciences</topic><topic>Biomarkers - blood</topic><topic>Biomarkers - metabolism</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Cardiovascular system</topic><topic>Cholesterol</topic><topic>Coronary artery disease</topic><topic>Coronary Disease - genetics</topic><topic>Coronary Disease - metabolism</topic><topic>Coronary vessels</topic><topic>Deoxyribonucleic acid</topic><topic>Diabetes mellitus</topic><topic>DNA</topic><topic>DNA Methylation</topic><topic>Enzymes</topic><topic>Epigenetics</topic><topic>Family medical history</topic><topic>Female</topic><topic>Gene expression</topic><topic>Genes</topic><topic>Heart</topic><topic>Heart diseases</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hydroxymethylglutaryl CoA Reductases - genetics</topic><topic>Hypertension</topic><topic>Laboratories</topic><topic>Lipids</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Methylation</topic><topic>Middle Aged</topic><topic>N-Acetylgalactosaminyltransferases - genetics</topic><topic>Patients</topic><topic>Plasma</topic><topic>Polymerase chain reaction</topic><topic>Polypeptide N-acetylgalactosaminyltransferase</topic><topic>Population (statistical)</topic><topic>Promoter Regions, Genetic</topic><topic>Risk</topic><topic>Risk assessment</topic><topic>Smoking</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peng, Ping</creatorcontrib><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Yang, Xi</creatorcontrib><creatorcontrib>Huang, Xiaoyan</creatorcontrib><creatorcontrib>Ba, Yanna</creatorcontrib><creatorcontrib>Chen, Xiaoliang</creatorcontrib><creatorcontrib>Guo, Jian</creatorcontrib><creatorcontrib>Lian, Jiangfang</creatorcontrib><creatorcontrib>Zhou, Jianqing</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 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 - 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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>Peng, Ping</au><au>Wang, Lu</au><au>Yang, Xi</au><au>Huang, Xiaoyan</au><au>Ba, Yanna</au><au>Chen, Xiaoliang</au><au>Guo, Jian</au><au>Lian, Jiangfang</au><au>Zhou, Jianqing</au><au>Coleman, William B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A preliminary study of the relationship between promoter methylation of the ABCG1, GALNT2 and HMGCR genes and coronary heart disease</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-08-01</date><risdate>2014</risdate><volume>9</volume><issue>8</issue><spage>e102265</spage><epage>e102265</epage><pages>e102265-e102265</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To investigate the association of ABCG1, GALNT2 and HMGCR genes promoter DNA methylation with coronary heart disease (CHD) and explore the interaction between their methylation status and the CHD patients' clinical characteristics in Han Chinese population.
Methylation-specific polymerase chain reaction (MSP) technology was used to examine the role of the aberrant gene promoter methylation in CHD in Han Chinese population. A total of 85 CHD patients and 54 participants without CHD confirmed by angiography were recruited. 82.8% of the participants with ABCG1 gene promoter hypermethylation have CHD, while only 17.4% of the participants without hypermethylation have it. The average age of the participants with GALNT2 gene promoter hypermethylation is 62.10 ± 8.21, while that of the participants without hypermethylation is 57.28 ± 9.87; in the former group, 75.4% of the participants have CHD, compared to only 50% in the latter group. As for the HMGCR gene, the average age of the participants with promoter hypermethylation is 63.24 ± 8.10 and that of the participants without hypermethylation is 57.79 ± 9.55; its promoter hypermethylation is likely to be related to smoking. Our results indicated a significant statistical association of promoter methylation of the ABCG1 gene with increased risk of CHD (OR = 19.966; 95% CI, 7.319-54.468; P*<0.001; P*: adjusted for age, gender, smoking, lipid level, hypertension, and diabetes). Similar results were obtained for that of the GALNT2 gene (OR = 2.978; 95% CI, 1.335-6.646; P* = 0.008), but not of HMGCR gene (OR = 1.388; 95% CI, 0.572-3.371; P* = 0.469).
The present work provides evidence to support the association of promoter DNA methylation status with the risk profile of CHD. Our data indicates that promoter DNA hypermethylation of the ABCG1 and GALNT2 genes, but not the HMGCR gene, is associated with an increased risk of CHD. CHD, smoking and aging are likely to be the important factors influencing DNA hypermethylation.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25084356</pmid><doi>10.1371/journal.pone.0102265</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2014-08, Vol.9 (8), p.e102265-e102265 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1550514197 |
| 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 | ABCG1 gene Age Aged Aging Angiography ATP Binding Cassette Transporter, Subfamily G, Member 1 ATP-Binding Cassette Transporters - genetics Biology and life sciences Biomarkers - blood Biomarkers - metabolism Cardiovascular disease Cardiovascular diseases Cardiovascular system Cholesterol Coronary artery disease Coronary Disease - genetics Coronary Disease - metabolism Coronary vessels Deoxyribonucleic acid Diabetes mellitus DNA DNA Methylation Enzymes Epigenetics Family medical history Female Gene expression Genes Heart Heart diseases Hospitals Humans Hydroxymethylglutaryl CoA Reductases - genetics Hypertension Laboratories Lipids Male Medicine Medicine and Health Sciences Methylation Middle Aged N-Acetylgalactosaminyltransferases - genetics Patients Plasma Polymerase chain reaction Polypeptide N-acetylgalactosaminyltransferase Population (statistical) Promoter Regions, Genetic Risk Risk assessment Smoking Statistical analysis |
| title | A preliminary study of the relationship between promoter methylation of the ABCG1, GALNT2 and HMGCR genes and coronary heart disease |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T03%3A12%3A59IST&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=A%20preliminary%20study%20of%20the%20relationship%20between%20promoter%20methylation%20of%20the%20ABCG1,%20GALNT2%20and%20HMGCR%20genes%20and%20coronary%20heart%20disease&rft.jtitle=PloS%20one&rft.au=Peng,%20Ping&rft.date=2014-08-01&rft.volume=9&rft.issue=8&rft.spage=e102265&rft.epage=e102265&rft.pages=e102265-e102265&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0102265&rft_dat=%3Cgale_plos_%3EA416683325%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=1550514197&rft_id=info:pmid/25084356&rft_galeid=A416683325&rft_doaj_id=oai_doaj_org_article_14178f70b1944158a8221fe5d33264b5&rfr_iscdi=true |