Prostate Cancer Susceptibility Loci Identified in GATA2 and ZMIZ1 in Chinese Population
Background. Common genetic risk variants for prostate cancer (PCa) have been identified at approximately 170 loci using genome-wide association studies (GWAS), most of which were identified in European populations. Recently, GWAS were applied to a large Japanese cohort and identified 12 novel suscep...
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| Format: | Article |
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Wiley
2022-01-01
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| Series: | International Journal of Genomics |
| Online Access: | http://dx.doi.org/10.1155/2022/8553530 |
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| author | Hui-Jing Zhang Zhongyuan Liu Liang Kan |
| author_facet | Hui-Jing Zhang Zhongyuan Liu Liang Kan |
| author_sort | Hui-Jing Zhang |
| collection | DOAJ |
| description | Background. Common genetic risk variants for prostate cancer (PCa) have been identified at approximately 170 loci using genome-wide association studies (GWAS), most of which were identified in European populations. Recently, GWAS were applied to a large Japanese cohort and identified 12 novel susceptibility loci associated with PCa risk. In this study, we aim to investigate PCa susceptibility loci in the Chinese population. The study data will be used to promote PCa risk control in China. Methods. A total of 235 PCa patients and 252 control subjects (all unrelated) were enrolled in this case-control PCa study. Nine single nucleotide polymorphisms (SNPs) were genotyped in GATA2 (rs73862213, rs2335052, and rs10934857), ZMIZ1 (rs704017, rs77911174, and rs3740259), and SUN2 (rs78397383, rs5750680, and rs138705) genes. The associations between the candidate SNPs and PCa were analyzed using multiple-factor logistic regression and haplotype analysis. Results. The allele frequency distributions of rs73862213 and rs2335052 in the GATA2 gene and rs704017 and rs77911174 in the ZMIZ1 gene were found to be significantly different between PCa cases and controls. Haplotype analysis revealed that the G-C-A haplotype of the GATA2 gene (order of SNPs: rs73862213-rs2335052-rs10934857) and the G-G-G haplotype of the ZMIZ1 gene (order of SNPs: rs704017-rs77911174-rs3740259) were associated with increased PCa risk. None of the SUN2 haplotypes were associated with PCa. Conclusions. Our study data indicates that the minor alleles of rs73862213 and rs2335052 in the GATA2 gene and rs704017 and rs77911174 in the ZMIZ1 gene were associated with increased PCa risk. These findings greatly extended our knowledge of the etiology of PCa. |
| format | Article |
| id | doaj-art-d7810f6f667445dc8586936ab299c95e |
| institution | Kabale University |
| issn | 2314-4378 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Genomics |
| spelling | doaj-art-d7810f6f667445dc8586936ab299c95e2025-02-03T01:09:51ZengWileyInternational Journal of Genomics2314-43782022-01-01202210.1155/2022/8553530Prostate Cancer Susceptibility Loci Identified in GATA2 and ZMIZ1 in Chinese PopulationHui-Jing Zhang0Zhongyuan Liu1Liang Kan2Department of EndoscopyDepartment of GeriatricsDepartment of GeriatricsBackground. Common genetic risk variants for prostate cancer (PCa) have been identified at approximately 170 loci using genome-wide association studies (GWAS), most of which were identified in European populations. Recently, GWAS were applied to a large Japanese cohort and identified 12 novel susceptibility loci associated with PCa risk. In this study, we aim to investigate PCa susceptibility loci in the Chinese population. The study data will be used to promote PCa risk control in China. Methods. A total of 235 PCa patients and 252 control subjects (all unrelated) were enrolled in this case-control PCa study. Nine single nucleotide polymorphisms (SNPs) were genotyped in GATA2 (rs73862213, rs2335052, and rs10934857), ZMIZ1 (rs704017, rs77911174, and rs3740259), and SUN2 (rs78397383, rs5750680, and rs138705) genes. The associations between the candidate SNPs and PCa were analyzed using multiple-factor logistic regression and haplotype analysis. Results. The allele frequency distributions of rs73862213 and rs2335052 in the GATA2 gene and rs704017 and rs77911174 in the ZMIZ1 gene were found to be significantly different between PCa cases and controls. Haplotype analysis revealed that the G-C-A haplotype of the GATA2 gene (order of SNPs: rs73862213-rs2335052-rs10934857) and the G-G-G haplotype of the ZMIZ1 gene (order of SNPs: rs704017-rs77911174-rs3740259) were associated with increased PCa risk. None of the SUN2 haplotypes were associated with PCa. Conclusions. Our study data indicates that the minor alleles of rs73862213 and rs2335052 in the GATA2 gene and rs704017 and rs77911174 in the ZMIZ1 gene were associated with increased PCa risk. These findings greatly extended our knowledge of the etiology of PCa.http://dx.doi.org/10.1155/2022/8553530 |
| spellingShingle | Hui-Jing Zhang Zhongyuan Liu Liang Kan Prostate Cancer Susceptibility Loci Identified in GATA2 and ZMIZ1 in Chinese Population International Journal of Genomics |
| title | Prostate Cancer Susceptibility Loci Identified in GATA2 and ZMIZ1 in Chinese Population |
| title_full | Prostate Cancer Susceptibility Loci Identified in GATA2 and ZMIZ1 in Chinese Population |
| title_fullStr | Prostate Cancer Susceptibility Loci Identified in GATA2 and ZMIZ1 in Chinese Population |
| title_full_unstemmed | Prostate Cancer Susceptibility Loci Identified in GATA2 and ZMIZ1 in Chinese Population |
| title_short | Prostate Cancer Susceptibility Loci Identified in GATA2 and ZMIZ1 in Chinese Population |
| title_sort | prostate cancer susceptibility loci identified in gata2 and zmiz1 in chinese population |
| url | http://dx.doi.org/10.1155/2022/8553530 |
| work_keys_str_mv | AT huijingzhang prostatecancersusceptibilitylociidentifiedingata2andzmiz1inchinesepopulation AT zhongyuanliu prostatecancersusceptibilitylociidentifiedingata2andzmiz1inchinesepopulation AT liangkan prostatecancersusceptibilitylociidentifiedingata2andzmiz1inchinesepopulation |