scholarly journals DMETTM Genotyping: Tools for Biomarkers Discovery in the Era of Precision Medicine

2020 ◽  
Vol 9 (2) ◽  
pp. 8 ◽  
Author(s):  
Giuseppe Agapito ◽  
Marzia Settino ◽  
Francesca Scionti ◽  
Emanuela Altomare ◽  
Pietro Hiram Guzzi ◽  
...  
Keyword(s):  
Query Language ◽  
Cancer Susceptibility ◽  
Drug Efficacy ◽  
Economic Benefits ◽  
Nucleotide Polymorphisms ◽  
Healthcare Outcomes ◽  
Single Nucleotide ◽  
Public Datasets ◽  
High Level ◽  
Private Datasets

The knowledge of genetic variants in genes involved in drug metabolism may be translated into reduction of adverse drug reactions, increase of efficacy, healthcare outcomes improvement and economic benefits. Many high-throughput tools are available for the genotyping of Single Nucleotide Polymorphisms (SNPs) known to be related to drugs and xenobiotics metabolism. DMETTM platform represents an example of SNPs panel to discover biomarkers correlated to efficacy or toxicity in common and rare diseases. The difficulty in analyzing the mole of information generated by DMETTM platform led to the development and implementation of algorithms and tools for statistical and data mining analysis. These softwares allow efficient handling of the omics data to validate the explorative SNPs identified by DMET assay and to correlate them with drug efficacy, toxicity and/or cancer susceptibility. In this review we present a suite of bioinformatic frameworks for the preprocessing and analysis of DMET-SNPs data. In particular, we introduce a workflow that uses the GenoMetric Query Language, a high-level query language specifically designed for genomics, able to query public datasets (such as ENCODE, TCGA, GENCODE annotation dataset, etc.) as well as to combine them with private datasets (e.g., output from Affymetrix® DMETTM Platform).

scholarly journals Strain-Specific Genotyping of Bifidobacterium animalis subsp. lactis by Using Single-Nucleotide Polymorphisms, Insertions, and Deletions

2009 ◽  
Vol 75 (23) ◽  
pp. 7501-7508 ◽  
Author(s):  
Elizabeth P. Briczinski ◽  
Joseph R. Loquasto ◽  
Rodolphe Barrangou ◽  
Edward G. Dudley ◽  
Anastasia M. Roberts ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Sequence Similarity ◽  
Nucleotide Polymorphisms ◽  
Strain Specificity ◽  
Typing Method ◽  
Single Nucleotide ◽  
Bifidobacterium Animalis ◽  
Molecular Approaches ◽  
Commercial Applications ◽  
High Level

ABSTRACT Several probiotic strains of Bifidobacterium animalis subsp. lactis are widely supplemented into food products and dietary supplements due to their documented health benefits and ability to survive within the mammalian gastrointestinal tract and acidified dairy products. The strain specificity of these characteristics demands techniques with high discriminatory power to differentiate among strains. However, to date, molecular approaches, such as pulsed-field gel electrophoresis and randomly amplified polymorphic DNA-PCR, have been ineffective at achieving strain separation due to the monomorphic nature of this subspecies. Previously, sequencing and comparison of two B. animalis subsp. lactis genomes (DSMZ 10140 and Bl-04) confirmed this high level of sequence similarity, identifying only 47 single-nucleotide polymorphisms (SNPs) and four insertions and/or deletions (INDELs) between them. In this study, we hypothesized that a sequence-based typing method targeting these loci would permit greater discrimination between strains than previously attempted methods. Sequencing 50 of these loci in 24 strains of B. animalis subsp. lactis revealed that a combination of nine SNPs/INDELs could be used to differentiate strains into 14 distinct genotypic groups. In addition, the presence of a nonsynonymous SNP within the gene encoding a putative glucose uptake protein was found to correlate with the ability of certain strains to transport glucose and to grow rapidly in a medium containing glucose as the sole carbon source. The method reported here can be used in clinical, regulatory, and commercial applications requiring identification of B. animalis subsp. lactis at the strain level.

scholarly journals The Associations of Single Nucleotide Polymorphisms in miR-146a, miR-196a and miR-499 with Breast Cancer Susceptibility

PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e70656 ◽  
Author(s):  
Ping-Yu Wang ◽  
Zong-Hua Gao ◽  
Zhong-Hua Jiang ◽  
Xin-Xin Li ◽  
Bao-Fa Jiang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Single Nucleotide Polymorphisms ◽  
Cancer Susceptibility ◽  
Breast Cancer Susceptibility ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

scholarly journals Association of miRNA biosynthesis genes DROSHA and DGCR8 polymorphisms with cancer susceptibility: a systematic review and meta-analysis

2018 ◽  
Vol 38 (3) ◽  
Author(s):  
Jing Wen ◽  
Zhi Lv ◽  
Hanxi Ding ◽  
Xinxin Fang ◽  
Mingjun Sun
Keyword(s):  
Cancer Risk ◽  
Genetic Model ◽  
Cancer Susceptibility ◽  
Meta Analysis ◽  
Population Based ◽  
Nucleotide Polymorphisms ◽  
Case Control Studies ◽  
Exclusion Criteria ◽  
Single Nucleotide ◽  
Stratified Analysis

Single nucleotide polymorphisms (SNPs) in miRNA biosynthesis genes DROSHA and DGCR8 were indicated to be correlated with cancer risk. We comprehensively reviewed and analyzed the effect of DROSHA and DGCR8 polymorphisms on cancer risk. Eligible articles were selected according to a series of inclusion and exclusion criteria. Consequently, ten case–control studies (from nine citations) with 4265 cancer cases and 4349 controls were involved in a meta-analysis of seven most prevalent SNPs (rs10719 T/C, rs6877842 G/C, rs2291109 A/T, rs642321 C/T, rs3757 G/A, rs417309 G/A, rs1640299 T/G). Our findings demonstrated that the rs417309 SNP in DGCR8 was significantly associated with an elevated risk of overall cancer in every genetic model. In stratified analysis, correlations of DROSHA rs10719 and rs6877842 SNPs were observed in Asian and laryngeal cancer subgroups, respectively. Moreover, associations of the rs417309 SNP could also be found in numerous subgroups including: Asian and Caucasian population subgroups; laryngeal and breast cancer subgroups; population-based (PB) and hospital-based (HB) subgroups. In conclusion, the DROSHA rs10719, rs6877842 SNPs, and DGCR8 rs417309 SNP play pivotal roles in cancerogenesis and may be potential biomarkers for cancer-forewarning.

scholarly journals Association of miR-146a, miR-149 and miR-196a2 polymorphisms with neuroblastoma risk in Eastern Chinese population: a three-center case–control study

2019 ◽  
Vol 39 (6) ◽  
Author(s):  
Chunlei Zhou ◽  
Yingzi Tang ◽  
Jinhong Zhu ◽  
Lili He ◽  
Jinghang Li ◽  
...  
Keyword(s):  
Case Control Study ◽  
Cancer Susceptibility ◽  
Case Control ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Ethnic Populations ◽  
Gender And Age ◽  
Sympathetic Nervous ◽  
Control Study ◽  
Common Malignancy

Abstract Neuroblastoma is one of the most common malignancy in childhood, which originates from the developing sympathetic nervous system. Single nucleotide polymorphisms (SNPs) in primary miRNA (pri-miRNA) have shown to associate with cancer susceptibility, including neuroblastoma. Three precursor miRNA (pre-miRNA) SNPs (pre-miR-146a rs2910164, pre-miR-149 rs2292832 and pre-miR-196a2 rs11614913) were found to contribute to pathogenesis of various diseases. Here, to evaluate the association among these three pre-miRNA SNPs and neuroblastoma susceptibility in Eastern Chinese children, we carried out a three-center case–control study involving 312 neuroblastoma cases and 762 healthy controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the association of these three polymorphisms with neuroblastoma risk. However, no significant association was observed among these three SNPs and neuroblastoma susceptibility, in either overall or subgroups analysis by tumor sites, gender and age. Further larger studies consisting of diverse ethnic populations are required to clarify the associations among these three pre-miRNAs polymorphisms and neuroblastoma risk.

scholarly journals Single Nucleotide Polymorphism in hsa-mir-196a-2 and Breast Cancer Risk: A Case Control Study

2011 ◽  
Vol 14 (5) ◽  
pp. 417-421 ◽  
Author(s):  
Dominik J. Jedlinski ◽  
Plamena N. Gabrovska ◽  
Stephen R. Weinstein ◽  
Robert A. Smith ◽  
Lyn R. Griffiths
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Breast Cancer Susceptibility ◽  
Case Control ◽  
Cancer Tissue ◽  
Transcriptional Level ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

microRNAs are small, non-coding RNAs that influence gene expression on a post-transcriptional level. They participate in diverse biological pathways and may act as either tumor suppressor genes or oncogenes. As they may have an effect on thousands of target mRNAs, single-nucleotide polymorphisms in microRNA genes might have major functional consequences, because the microRNA's properties and/or maturation may change. miR-196a has been reported to be aberrantly expressed in breast cancer tissue. Additionally, the SNP rs11614913 in hsa-mir-196a-2 has been found to be associated with breast cancer risk in some studies although not in others. This study evaluated the association between rs11614913 and breast cancer risk in a Caucasian case-control cohort in Queensland, Australia. Results do not support an association of the tested hsa-mir-196a-2 polymorphism with breast cancer susceptibility in this cohort. As there is a discrepancy between our results and previous findings, it is important to assess the role of rs11614913 in breast cancer by further larger studies investigating different ethnic groups.

scholarly journals Genetic Variants in the Promoter Region of miR-10b and the Risk of Breast Cancer

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Jiaping Chen ◽  
Yue Jiang ◽  
Jing Zhou ◽  
Sijun Liu ◽  
Yayun Gu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Single Nucleotide Polymorphisms ◽  
In Silico ◽  
Promoter Region ◽  
Cancer Susceptibility ◽  
Chinese Women ◽  
Close Association ◽  
Breast Cancer Susceptibility ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

Variants in microRNA genes may affect their expression by interfering with the microRNA maturation process and may substantially contribute to the risk of breast cancer. Recent studies have identified miR-10b as an interesting candidate because of its close association with the metastatic behavior of breast cancer. However, the roles of miR-10b-related single nucleotide polymorphisms in breast cancer susceptibility remain unclear. This case-control study evaluated the associations between variants in the upstream transcription regulation region of miR-10b and the risk of breast cancer among Chinese women. Seven potentially functional SNPs were investigated using genotyping assays. The potential biological functions of the identified positive SNPs were further evaluated using in silico databases. We found that rs4078756, which was located at the promoter region of miR-10b, was significantly associated with breast cancer risk (rs4078756 AG/GG versus AA, adjusted odds ratio: 1.17, 95% confidence interval: 1.02–1.35). The other six single nucleotide polymorphisms exhibited negative associations. Based on the in silico prediction, rs4078756 potentially regulated miR-10b expression through promoter activation or repression. These findings indicate that a potentially functional SNP (rs4078756) in the promoter region of miR-10b may contribute to breast cancer susceptibility among Chinese women.

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