Impact of COL6A4P2 gene polymorphisms on the risk of lung cancer: A case-control study
Lung cancer (LC) is a malignant tumor that poses the greatest threat to human health and life. Most studies suggested that the occurrence of LC is associated with environmental and genetic factors. We aimed to explore the association between COL6A4P2 single nucleotide polymorphisms (SNPs) and CHD ri...
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| description | Lung cancer (LC) is a malignant tumor that poses the greatest threat to human health and life. Most studies suggested that the occurrence of LC is associated with environmental and genetic factors. We aimed to explore the association between COL6A4P2 single nucleotide polymorphisms (SNPs) and CHD risk in the Chinese Southern Han population. Based on the 'case-control' experimental design (510 cases and 495 controls), we conducted an association study between five candidate COL6A4P2 SNPs and the corresponding LC risk. Odds ratio (OR) and 95% confidence intervals (CIs) were calculated by logistic regression to analyze the LC susceptibility under different genetic models. The results showed that COL6A4P2 rs34445363 was significantly associated with LC risk under alleles model (OR = 1.26, 95%CI: 1.01-1.58, p = 0.038). In addition, rs34445363 was also significantly associated with LC risk under the log-additive model (OR = 1.26, 95%CI: 1.01-1.58, p = 0.041). The results of subgroup analysis showed that rs34445363 (OR = 1.42, 95%CI: 1.03-1.95, p = 0.033) and rs61733464 (OR = 0.72, 95%CI: 0.52-0.99, p = 0.048) were both significantly associated with LC risk in the log-additive model among participants who were ≤ 61 years old. We also found that the variation of rs34445363 (GA vs. GG, OR = 1.73, 95%CI: 1.04-2.86, p = 0.034) and rs77941834 (TA vs. TT, OR = 1.88, 95%CI: 1.06-3.34, p = 0.032) were associated with LC risk in the codominant model among female participants. Our study is the first to find that COL6A4P2 gene polymorphism is associated with LC risk in the Chinese Han population. Our study provides a basic reference for individualized LC prevention. |
| doi_str_mv | 10.1371/journal.pone.0252082 |
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Most studies suggested that the occurrence of LC is associated with environmental and genetic factors. We aimed to explore the association between COL6A4P2 single nucleotide polymorphisms (SNPs) and CHD risk in the Chinese Southern Han population. Based on the 'case-control' experimental design (510 cases and 495 controls), we conducted an association study between five candidate COL6A4P2 SNPs and the corresponding LC risk. Odds ratio (OR) and 95% confidence intervals (CIs) were calculated by logistic regression to analyze the LC susceptibility under different genetic models. The results showed that COL6A4P2 rs34445363 was significantly associated with LC risk under alleles model (OR = 1.26, 95%CI: 1.01-1.58, p = 0.038). In addition, rs34445363 was also significantly associated with LC risk under the log-additive model (OR = 1.26, 95%CI: 1.01-1.58, p = 0.041). The results of subgroup analysis showed that rs34445363 (OR = 1.42, 95%CI: 1.03-1.95, p = 0.033) and rs61733464 (OR = 0.72, 95%CI: 0.52-0.99, p = 0.048) were both significantly associated with LC risk in the log-additive model among participants who were ≤ 61 years old. We also found that the variation of rs34445363 (GA vs. GG, OR = 1.73, 95%CI: 1.04-2.86, p = 0.034) and rs77941834 (TA vs. TT, OR = 1.88, 95%CI: 1.06-3.34, p = 0.032) were associated with LC risk in the codominant model among female participants. Our study is the first to find that COL6A4P2 gene polymorphism is associated with LC risk in the Chinese Han population. Our study provides a basic reference for individualized LC prevention.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0252082</identifier><identifier>PMID: 34019596</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>21st century ; Age ; Aged ; Alleles ; Anesthesiology ; Asian People ; Biology and Life Sciences ; Biotechnology ; Cancer ; Case-Control Studies ; Computer programs ; Female ; Gene expression ; Gene Frequency - genetics ; Gene polymorphism ; Genetic aspects ; Genetic Predisposition to Disease ; Genomes ; Genotype ; Genotype & phenotype ; Haplotypes ; Haplotypes - genetics ; Health risks ; Hospitals ; Humans ; Invasiveness ; Laboratories ; Linkage disequilibrium ; Logistic Models ; Lung cancer ; Lung diseases ; Lung Neoplasms - epidemiology ; Lung Neoplasms - etiology ; Lymphatic system ; Male ; Medicine and Health Sciences ; Metastasis ; Middle Aged ; Morbidity ; Mortality ; Mutation ; Odds Ratio ; Polymorphism, Single Nucleotide - genetics ; Population ; Proteins ; Risk factors ; Software ; Tumors</subject><ispartof>PloS one, 2021-05, Vol.16 (5), p.e0252082</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Dang 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>2021 Dang et al 2021 Dang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-967eabca9d2cbcb85bed09cbb4a3fd74f9a2bcf5e10c2f9f48392e344f604fe83</citedby><cites>FETCH-LOGICAL-c692t-967eabca9d2cbcb85bed09cbb4a3fd74f9a2bcf5e10c2f9f48392e344f604fe83</cites><orcidid>0000-0001-8327-6501</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139505/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139505/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2101,2927,23865,27923,27924,53790,53792,79471,79472</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34019596$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Fawzy, Manal S.</contributor><creatorcontrib>Dang, Xiaodong</creatorcontrib><creatorcontrib>Zhao, Wenhui</creatorcontrib><creatorcontrib>Li, Chen</creatorcontrib><creatorcontrib>Yang, Hua</creatorcontrib><creatorcontrib>Li, Dianzhen</creatorcontrib><creatorcontrib>Zhang, Shanshan</creatorcontrib><creatorcontrib>Jin, Tianbo</creatorcontrib><title>Impact of COL6A4P2 gene polymorphisms on the risk of lung cancer: A case-control study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Lung cancer (LC) is a malignant tumor that poses the greatest threat to human health and life. Most studies suggested that the occurrence of LC is associated with environmental and genetic factors. We aimed to explore the association between COL6A4P2 single nucleotide polymorphisms (SNPs) and CHD risk in the Chinese Southern Han population. Based on the 'case-control' experimental design (510 cases and 495 controls), we conducted an association study between five candidate COL6A4P2 SNPs and the corresponding LC risk. Odds ratio (OR) and 95% confidence intervals (CIs) were calculated by logistic regression to analyze the LC susceptibility under different genetic models. The results showed that COL6A4P2 rs34445363 was significantly associated with LC risk under alleles model (OR = 1.26, 95%CI: 1.01-1.58, p = 0.038). In addition, rs34445363 was also significantly associated with LC risk under the log-additive model (OR = 1.26, 95%CI: 1.01-1.58, p = 0.041). The results of subgroup analysis showed that rs34445363 (OR = 1.42, 95%CI: 1.03-1.95, p = 0.033) and rs61733464 (OR = 0.72, 95%CI: 0.52-0.99, p = 0.048) were both significantly associated with LC risk in the log-additive model among participants who were ≤ 61 years old. We also found that the variation of rs34445363 (GA vs. GG, OR = 1.73, 95%CI: 1.04-2.86, p = 0.034) and rs77941834 (TA vs. TT, OR = 1.88, 95%CI: 1.06-3.34, p = 0.032) were associated with LC risk in the codominant model among female participants. Our study is the first to find that COL6A4P2 gene polymorphism is associated with LC risk in the Chinese Han population. Our study provides a basic reference for individualized LC prevention.</description><subject>21st century</subject><subject>Age</subject><subject>Aged</subject><subject>Alleles</subject><subject>Anesthesiology</subject><subject>Asian People</subject><subject>Biology and Life Sciences</subject><subject>Biotechnology</subject><subject>Cancer</subject><subject>Case-Control Studies</subject><subject>Computer programs</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Frequency - genetics</subject><subject>Gene polymorphism</subject><subject>Genetic aspects</subject><subject>Genetic Predisposition to Disease</subject><subject>Genomes</subject><subject>Genotype</subject><subject>Genotype & phenotype</subject><subject>Haplotypes</subject><subject>Haplotypes - genetics</subject><subject>Health risks</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Invasiveness</subject><subject>Laboratories</subject><subject>Linkage disequilibrium</subject><subject>Logistic Models</subject><subject>Lung cancer</subject><subject>Lung diseases</subject><subject>Lung Neoplasms - epidemiology</subject><subject>Lung Neoplasms - etiology</subject><subject>Lymphatic system</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>Morbidity</subject><subject>Mortality</subject><subject>Mutation</subject><subject>Odds Ratio</subject><subject>Polymorphism, Single Nucleotide - genetics</subject><subject>Population</subject><subject>Proteins</subject><subject>Risk factors</subject><subject>Software</subject><subject>Tumors</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</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>eNqNkm2r0zAUx4Mo3uv0G4gWBMEXnWmSpo0vhDF8GAwmPty3Ic1Dl9k2NWnFfXsz13tZQUHyIuHkd_45-Z8DwNMMLjNcZK8PbvSdaJa96_QSohzBEt0D1xnDKKUI4vsX5yvwKIQDhDkuKX0IrjCBGcsZvQY3m7YXckicSda7LV2RTyipdaeT3jXH1vl-b0MbEtclw14n3obvJ7QZuzqRopPav0lW8RR0Kl03eNckYRjV8TF4YEQT9JNpX4Bv7999XX9Mt7sPm_Vqm0rK0JAyWmhRScEUkpWsyrzSCjJZVURgowpimECVNLnOoESGGVJihjQmxFBIjC7xAjw_6_aNC3yyJHCUY4gpKmEWic2ZUE4ceO9tK_yRO2H5n4DzNRd-sLLRnBRFlSElC1QwQlAhCMqVkqgohSIVFFHr7fTaWLVaSR1_LJqZ6Pyms3teu5-8zDDLo_sL8GIS8O7HqMPwj5InqhaxKtsZF8Vka4PkK0pRTjCOnV2A5V-ouJRubWyGNjbGZwmvZgmnhulfQy3GEPjmy-f_Z3c3c_blBbvXohn2wTXjYF0X5iA5g9K7ELw2d85lkJ9m-tYNfpppPs10THt26fpd0u0Q499Nw_Dg</recordid><startdate>20210521</startdate><enddate>20210521</enddate><creator>Dang, Xiaodong</creator><creator>Zhao, Wenhui</creator><creator>Li, Chen</creator><creator>Yang, Hua</creator><creator>Li, Dianzhen</creator><creator>Zhang, Shanshan</creator><creator>Jin, Tianbo</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>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8327-6501</orcidid></search><sort><creationdate>20210521</creationdate><title>Impact of COL6A4P2 gene polymorphisms on the risk of lung cancer: A case-control study</title><author>Dang, Xiaodong ; Zhao, Wenhui ; Li, Chen ; Yang, Hua ; Li, Dianzhen ; Zhang, Shanshan ; Jin, Tianbo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-967eabca9d2cbcb85bed09cbb4a3fd74f9a2bcf5e10c2f9f48392e344f604fe83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>21st century</topic><topic>Age</topic><topic>Aged</topic><topic>Alleles</topic><topic>Anesthesiology</topic><topic>Asian People</topic><topic>Biology and Life Sciences</topic><topic>Biotechnology</topic><topic>Cancer</topic><topic>Case-Control Studies</topic><topic>Computer programs</topic><topic>Female</topic><topic>Gene expression</topic><topic>Gene Frequency - 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Most studies suggested that the occurrence of LC is associated with environmental and genetic factors. We aimed to explore the association between COL6A4P2 single nucleotide polymorphisms (SNPs) and CHD risk in the Chinese Southern Han population. Based on the 'case-control' experimental design (510 cases and 495 controls), we conducted an association study between five candidate COL6A4P2 SNPs and the corresponding LC risk. Odds ratio (OR) and 95% confidence intervals (CIs) were calculated by logistic regression to analyze the LC susceptibility under different genetic models. The results showed that COL6A4P2 rs34445363 was significantly associated with LC risk under alleles model (OR = 1.26, 95%CI: 1.01-1.58, p = 0.038). In addition, rs34445363 was also significantly associated with LC risk under the log-additive model (OR = 1.26, 95%CI: 1.01-1.58, p = 0.041). The results of subgroup analysis showed that rs34445363 (OR = 1.42, 95%CI: 1.03-1.95, p = 0.033) and rs61733464 (OR = 0.72, 95%CI: 0.52-0.99, p = 0.048) were both significantly associated with LC risk in the log-additive model among participants who were ≤ 61 years old. We also found that the variation of rs34445363 (GA vs. GG, OR = 1.73, 95%CI: 1.04-2.86, p = 0.034) and rs77941834 (TA vs. TT, OR = 1.88, 95%CI: 1.06-3.34, p = 0.032) were associated with LC risk in the codominant model among female participants. Our study is the first to find that COL6A4P2 gene polymorphism is associated with LC risk in the Chinese Han population. Our study provides a basic reference for individualized LC prevention.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34019596</pmid><doi>10.1371/journal.pone.0252082</doi><tpages>e0252082</tpages><orcidid>https://orcid.org/0000-0001-8327-6501</orcidid><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS); EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | 21st century Age Aged Alleles Anesthesiology Asian People Biology and Life Sciences Biotechnology Cancer Case-Control Studies Computer programs Female Gene expression Gene Frequency - genetics Gene polymorphism Genetic aspects Genetic Predisposition to Disease Genomes Genotype Genotype & phenotype Haplotypes Haplotypes - genetics Health risks Hospitals Humans Invasiveness Laboratories Linkage disequilibrium Logistic Models Lung cancer Lung diseases Lung Neoplasms - epidemiology Lung Neoplasms - etiology Lymphatic system Male Medicine and Health Sciences Metastasis Middle Aged Morbidity Mortality Mutation Odds Ratio Polymorphism, Single Nucleotide - genetics Population Proteins Risk factors Software Tumors |
| title | Impact of COL6A4P2 gene polymorphisms on the risk of lung cancer: A case-control study |
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