Results 341 to 350 of about 593,238 (360)

SNP‐SNP and SNP‐environment interactions of potentially functional HOTAIR SNPs modify the risk of hepatocellular carcinoma

Molecular Carcinogenesis, 2019
HOX transcript antisense intergenic RNA (HOTAIR) has been widely regarded as a functional lncRNA contributing to multiple cancers. However, few studies have examined the effect of single nucleotide polymorphisms (SNPs) in HOTAIR on the occurrence and development of hepatocellular carcinoma (HCC). In this study, three potentially functional HOTAIR SNPs (
Junguo Zhang, Li Liu, Zhifeng Lin, Xiaohui Ji, Lucheng Pi, Xinqi Lin, Nana Tian, Guiyan Liu, Qing Liu, Ziqiang Lin, Sidong Chen, Xinfa Yu, Yanhui Gao   +12 more
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SNPs in forensic genetics: a review on SNP typing methodologies [PDF]

Forensic Science International, 2005
There is an increasing interest in single nucleotide polymorphism (SNP) typing in the forensic field, not only for the usefulness of SNPs for defining Y chromosome or mtDNA haplogroups or for analyzing the geographical origin of samples, but also for the potential applications of autosomal SNPs.
Maria Brion, Angel Carracedo, Beatriz Sobrino   +2 more
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The essence of SNPs

Gene, 1999
Single nucleotide polymorphisms (SNPs) are an abundant form of genome variation, distinguished from rare variations by a requirement for the least abundant allele to have a frequency of 1% or more. A wide range of genetics disciplines stand to benefit greatly from the study and use of SNPs. The recent surge of interest in SNPs stems from, and continues
openaire   +3 more sources

SNP uniqueness problem: a proof‐of‐principle in HapMap SNPs

Human Mutation, 2011
SNP-based research strongly affects our biomedical and clinically associated knowledge. Nonunique and false-positive SNP existence in commonly used datasets may thus lead to biased, inaccurate clinically associated conclusions. We designed a computational study to reveal the degree of nonunique/false-positive SNPs in the HapMap dataset. Two sets of SNP
Shany Doron, Dorit Shweiki
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Identification of SNP-SNP interaction for chronic dialysis patients

Computers in Biology and Medicine, 2017
Analyses of interactions between single nucleotide polymorphisms (SNPs) have reported significant associations between mitochondrial displacement loops (D-loops) and chronic dialysis diseases. However, the method used to detect potential SNP-SNP interaction still requires improvement.
Li-Yeh Chuang, Zi-Jie Weng, Cheng-San Yang, Cheng-Hong Yang   +3 more
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A Hierarchical Clustering Method of Selecting Kernel SNP to Unify Informative SNP and Tag SNP

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2015
Various strategies can be used to select representative single nucleotide polymorphisms (SNPs) from a large number of SNPs, such as tag SNP for haplotype coverage and informative SNP for haplotype reconstruction, respectively. Representative SNPs are not only instrumental in reducing the cost of genotyping, but also serve an important function in ...
Zhi Cao, Lijun Cai, Haowen Chen, Bo Liao, Xiong Li   +4 more
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SNPs in ADAMTS13

Pharmacogenomics, 2011
The multidomain metalloprotease ADAMTS13 limits thrombus formation via the cleavage of large multimeric forms of von Willebrand factor. Deficiency of functional ADAMTS13 is associated with a number of disease pathologies including thrombotic thrombocytopenic purpura, cardiovascular disease and inflammation.
Chava Kimchi-Sarfaty, Sandra C. Tseng
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Informative SNP Selection Methods Based on SNP Prediction

IEEE Transactions on Nanobioscience, 2007
The search for the association between complex diseases and single nucleotide polymorphisms (SNPs) or haplotypes has recently received great attention. For these studies, it is essential to use a small subset of informative SNPs, i.e., tag SNPs, accurately representing the rest of the SNPs.
Alexander Zelikovsky, Jingwu He
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Generating SNP barcode to evaluate SNP–SNP interaction of disease by particle swarm optimization

Computational Biology and Chemistry, 2009
Genome-wide association analysis involved many single-nucleotide polymorphisms (SNPs) data is challenging mathematically and computationally. Hence, we propose the odds ratio-based discrete binary particle swarm optimization (OR-DBPSO) method that uses the OR as a new quantitative measure of disease risk among many SNP combinations with genotypes ...
Li-Yeh Chuang, Cheng-Hong Yang, Hsueh-Wei Chang, Chang-Hsuan Ho, Cheng-Hao Wen   +4 more
openaire   +3 more sources