A proposal for improvement of genotyping performance for ethnically homogeneous population using DNA microarray
| Autor: | Topon Paul, Ryusei Shingaki, Takashi Koiso, Shinya Umeno, Ken Ueno, Arika Fukushima |
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| Rok vydání: | 2015 |
| Předmět: |
Genetics
Heterozygote education.field_of_study Genotype Genotyping Techniques Racial Groups Population Single-nucleotide polymorphism Biology Polymorphism Single Nucleotide Minor allele frequency Gene Frequency Cluster Analysis Humans SNP DNA microarray 1000 Genomes Project education Genotyping Genetic Association Studies Oligonucleotide Array Sequence Analysis |
| Zdroj: | EMBC |
| DOI: | 10.1109/embc.2015.7319959 |
| Popis: | DNA microarray is used to determine the genotypes of several hundred thousand to several million SNPs (Single Nucleotide Polymorphisms) on multiple samples at a time. In the conventional method of genotyping using DNA microarray, it is assumed that each SNP has three types of genotypes: two homozygous and one heterozygous genotypes. However, in an ethnically homogeneous population, there are cases when all the samples of a SNP belong to one homozygous genotype, and there are some other cases, especially in the SNPs of low MAFs (Minor Allele Frequencies), each sample belongs to either of the two genotypes: one homozygous and one heterozygous genotypes. In those cases, the conventional method of genotyping may fail to properly determine the genotypes of the samples. In this paper, we propose a new genotyping method, which can be used as a post-processing technique of the conventional genotyping method, for re-judgment of the SNPs having one or two types of genotypes. The proposed method takes fluctuations of the fluorescence intensities of the signals of DNA microarray into account, assigns genotypes to samples from those genotype patterns that may occur under natural mating conditions and applies different genotype judgment methods depending on the number of genotype clusters of a SNP. We evaluate our proposed method using the data of 1000 Genome Project and have found that our proposed method is able to improve the genotyping performance of the conventional method. |
| Databáze: | OpenAIRE |
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