scholarly journals In Silico Data Mining of Single Nucleotide Polymorphisms in EZH2 and Their Role in Cancer

2017 ◽  
Vol 11 (2) ◽  
Author(s):  
Trupti N. Patel ◽  
Richa Vasan ◽  
Manjari Trivedi ◽  
Manali Chakraborty ◽  
Priyanjali Bhattacharya
Keyword(s):  
Data Mining ◽  
Single Nucleotide Polymorphisms ◽  
In Silico ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide

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.

scholarly journals 11 Million SNP Reference Profiles for Identity Searching Across Ethnicities, Kinship, and Admixture

2018 ◽  
Author(s):  
Brian S. Helfer ◽  
Darrell O. Ricke
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
High Throughput ◽  
Family Relationships ◽  
In Silico ◽  
High Throughput Sequencing ◽  
Genetic Data ◽  
Nucleotide Polymorphisms ◽  
Mixture Analysis ◽  
Single Nucleotide ◽  
Public Repositories

AbstractHigh throughput sequencing (HTS) of single nucleotide polymorphisms (SNPs) provides additional applications for DNA forensics including identification, mixture analysis, kinship prediction, and biogeographic ancestry prediction. Public repositories of human genetic data are being rapidly generated and released, but the majorities of these samples are de-identified to protect privacy, and have little or no individual metadata such as appearance (photos), ethnicity, relatives, etc. A reference in silico dataset has been generated to enable development and testing of new DNA forensics algorithms. This dataset provides 11 million SNP profiles for individuals with defined ethnicities and family relationships spanning eight generations with admixture for a panel with 39,108 SNPs.

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