Dataset Information

Expression quantitative trait loci in long non-coding RNA ZNRD1-AS1 influence cervical cancer development.

ABSTRACT: Zinc ribbon domain containing 1 (ZNRD1) may play integral roles in immune response against HPV infection and cervical cancer. Its antisense transcript, ZNRD1-AS1, is an important regulator of ZNRD1. By bioinformatics analyses, we identified that several single nucleotide polymorphisms (SNPs) in ZNRD1-AS1 may be expression quantitative trait loci (eQTLs) for ZNRD1. So we hypothesized that these eQTLs SNPs in ZNRD1-AS1 may influence the susceptibility of cervical cancer through influencing ZNRD1 expression. We designed a population-based case-control study containing 1486 cervical cancer patients and 1536 controls to test the associations of three ZNRD1 eQTLs SNPs (rs3757328, rs6940552 and rs9261204) in ZNRD1-AS1 with the risk of cervical cancer. Logistic regression analyses in additive genetic model showed that all the three eQTLs SNPs decreased the risk of cervical cancer. Compared with those carrying "0" variant allele, subjects carrying "1-6" variant alleles had a 20% decreased risk of cervical cancer. Moreover, the haplotype containing variant alleles of these three SNPs significantly decreased the risk of cervical cancer when compared with the most frequent haplotype. In conclusion, ZNRD1 eQTLs SNPs in ZNRD1-AS1 could have a predisposition for the development of cervical cancer.

SUBMITTER: Guo L

PROVIDER: S-EPMC4548342 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Expression quantitative trait loci in long non-coding RNA ZNRD1-AS1 influence cervical cancer development.

Guo Lanwei L Wen Juan J Han Jing J Jiang Jie J Xie Shuanghua S Feng Xiaoshuang X Wei Baojun B Dai Juncheng J Zhang Kai K Qi Jun J Ma Hongxia H Shi Jufang J Ren Jiansong J Zhang Yue Y Dai Min M Hu Zhibin Z Li Ni N

American journal of cancer research 20150615 7

Zinc ribbon domain containing 1 (ZNRD1) may play integral roles in immune response against HPV infection and cervical cancer. Its antisense transcript, ZNRD1-AS1, is an important regulator of ZNRD1. By bioinformatics analyses, we identified that several single nucleotide polymorphisms (SNPs) in ZNRD1-AS1 may be expression quantitative trait loci (eQTLs) for ZNRD1. So we hypothesized that these eQTLs SNPs in ZNRD1-AS1 may influence the susceptibility of cervical cancer through influencing ZNRD1 e ...[more]

PMID: 26328261

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Project description:Genetic dissection of the S rat genome has provided strong evidence for the presence of two interacting blood pressure (BP) quantitative trait loci (QTLs), termed QTL1 and QTL2, on rat chromosome 5. However, the identities of the underlying interacting genetic factors remain unknown. Further experiments targeted to identify the interacting genetic factors by the substitution mapping approach alone are difficult because of the interdependency of natural recombinations to occur at the two QTLs. We hypothesized that the interacting genetic factors underlying these two QTLs may interact at the level of gene transcription and thereby represent expression QTLs (eQTLs). To detect these interacting eQTLs, a custom QTL chip containing the annotated genes within QTL1 and QTL2 was developed and used to conduct a transcriptional profiling study of S and two congenic strains that retain either one or both the QTLs. The results uncovered an interaction between two transcription factors, DMRTA2 and NFIA. Further, the âbiological signatureâ elicited by these two transcription factors was differential between the congenic strain that retained LEW alleles at both QTL1 and 2 compared to the congenic strain that retained LEW alleles at QTL1 alone. A network of transcription factors potentially affecting BP could be traced, lending support to our hypothesis. Pairs of Cy5 and Cy3 labeled targets were co-hybridized onto either a custom long oligonucleotide microarray for the interrogation of 231 genes encompassed by QTL1 and QTL2, or a TIGR rat cDNA array consisting of 26,401 probe elements representing 20,465 unique non-QTL genes. A âflip-dyeâ or âbalanced blockâ design was used as the experimental method of choice to account for potential dye-bias labeling effects. Six âbalanced blockâ normalized files are submitted for the long oligonucleotide array interrogating the hearts from S versus S.LEW(5)x6x9 animals, fourteen âflip-dyeâ hybridizations are submitted for the cDNA array interrogating the hearts from S versus S.LEW(5)x6x9 animals, and twelve âflip-dyeâ hybridizations are submitted for the cDNA array interrogating the hearts from S versus S.LEW(5)x6x11 animals. GPR and MEV files cannot be located.

Dataset Information

Expression quantitative trait loci in long non-coding RNA ZNRD1-AS1 influence cervical cancer development.

Publications

Expression quantitative trait loci in long non-coding RNA ZNRD1-AS1 influence cervical cancer development.

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