genetic variants in tgf-β pathway are associated with ovarian cancer risk基因变异在tgf-β通路与卵巢癌风险相关联.pdfVIP

下载本文档

3
0
约5.38万字
约 7页
2017-09-01 发布于上海
举报
版权申诉

genetic variants in tgf-β pathway are associated with ovarian cancer risk基因变异在tgf-β通路与卵巢癌风险相关联.pdf

1、有哪些信誉好的足球投注网站（book118）网站文档一经付费（服务费），不意味着购买了该文档的版权，仅供个人/单位学习、研究之用，不得用于商业用途，未经授权，严禁复制、发行、汇编、翻译或者网络传播等，侵权必究。。
2、本站所有内容均由合作方或网友上传，本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺！文档内容仅供研究参考，付费前请自行鉴别。如您付费，意味着您自己接受本站规则且自行承担风险，本站不退款、不进行额外附加服务；查看《如何避免下载的几个坑》。如果您已付费下载过本站文档，您可以点击这里二次下载。
3、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等，请点击“版权申诉”（推荐），也可以打举报电话：400-050-0827(电话支持时间：9:00-18:30)。
4、该文档为VIP文档，如果想要下载，成为VIP会员后，下载免费。
5、成为VIP后，下载本文档将扣除1次下载权益。下载后，不支持退款、换文档。如有疑问请联系我们。
6、成为VIP后，您将拥有八大权益，权益包括：VIP文档下载权益、阅读免打扰、文档格式转换、高级专利检索、专属身份标志、高级客服、多端互通、版权登记。
7、VIP文档为合作方或网友上传，每下载1次，网站将根据用户上传文档的质量评分、类型等，对文档贡献者给予高额补贴、流量扶持。如果你也想贡献VIP文档。上传文档

genetic variants in tgf-β pathway are associated with ovarian cancer risk基因变异在tgf-β通路与卵巢癌风险相关联

Genetic Variants in TGF-b Pathway Are Associated with Ovarian Cancer Risk 1 2 1 3 1 1 2 Jikai Yin , Karen Lu , Jie Lin , Lei Wu , Michelle A. T. Hildebrandt , David W. Chang , Larissa Meyer , 1 4 Xifeng Wu , Dong Liang * 1 Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America, 2 Department of Gynecologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America, 3 Department of Pharmacology and Pharmaceutical Sciences, University of Houston, Houston, Texas, United States of America, 4 College of Pharmacy, Texas Southern University, Houston, Texas, United States of America Abstract The transforming growth factor- b (TGF-b) signaling pathway is involved in a diverse array of cellular processes responsible for tumorigenesis. In this case-control study, we applied a pathway-based approach to evaluate single-nucleotide polymorphisms (SNPs) in the TGF-b signaling pathway as predictors of ovarian cancer risk. We systematically genotyped 218 SNPs from 21 genes in the TGF-b signaling pathway in 417 ovarian cancer cases and 417 matched control subjects. We analyzed the associations of these SNPs with ovarian cancer risk, performed haplotype analysis and identified potential cumulative effects of genetic variants. We also performed analysis to identify higher-order gene-gene interactions influencing ovarian cancer risk. Individual SNP analysis showed that the most significant SNP was SMAD6: rs4147407, with an adjusted odds ratio (OR) of 1.60 (95% confidence interval [CI], 1.14–2.24, P = 0.0066). Cumulative genotype analysis of 13