Single Nucleotide Polymorphisms: Identification and Association with Breast Cancer using Biocomputing Approach

被引：0

作者：

Sohi, Neelofar ^{[1
]}

Singh, Amardeep ^{[1
]}

机构：

[1] Punjabi Univ, Dept Comp Engn, Patiala, Punjab, India

来源：

PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS) | 2018年

关键词：

Single Nucleotide Polymorphisms; SNPs; biocomputing; genetic variations; SNP identification; breast cancer; GENOME-WIDE ASSOCIATION; SUSCEPTIBILITY LOCUS; RELATIVE FREQUENCY; GERMLINE MUTATIONS; BRCA1; RISK; GENES; PENETRANCE; VARIANTS; CARRIERS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Single nucleotide polymorphisms are the most common source of genetic variations. Carriers of disease causing SNPs are genetically predisposed to the risk of developing that disease. Hence, identification of disease causing SNPs and genes becomes highly important. In this study, different categories of genes associated with breast cancer are presented giving their functions, associated syndromes and lifetime risks of developing breast cancer. SNPs associated with breast cancer found by various researchers in their findings are also summarised in the paper. Genes associated with breast cancer have been explored for presence of cancer causing SNPs using tools hosted by NCBI. Inherited mutations, which genetically predispose the individual to the risk of developing cancer, are found to be responsible for causing breast cancer in most of the cases. Therefore, identification of such inherited mutations is highly important for early detection of breast cancer. Population screening of carriers of such mutations can play big role in reducing occurrence and deaths caused due to cancer.

引用

页码：250 / 259

页数：10

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