Fast accurate missing SNP genotype local imputation

نویسندگان
چکیده

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LinkImpute: Fast and Accurate Genotype Imputation for Nonmodel Organisms

Obtaining genome-wide genotype data from a set of individuals is the first step in many genomic studies, including genome-wide association and genomic selection. All genotyping methods suffer from some level of missing data, and genotype imputation can be used to fill in the missing data and improve the power of downstream analyses. Model organisms like human and cattle benefit from high-qualit...

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Improvement of missing genotype imputation through bi - directional parsing of large SNP panels Christine Sinoquet

Such difficult analyses as disease association studies, which aim at mappping genetic variants underlying complex human diseases, rely on high-throughput genotyping techniques. However, a shortcoming of these techniques is the generation of missing calls. Computational inference of missing data represents a challenging alternative to genotyping again the missing regions. In this paper, we prese...

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Posters IMPUTATION OF MISSING GENOTYPES IN HIGH DENSITY SNP DATA

The accuracy and computational complexity of five methods to impute missing genotypes in high density SNP data was investigated. The haplotype reconstruction package fastPHASE reached the highest accuracies (91% to 98%) for varying proportions (0.2% to 8%) of missing genotypes. Alternative methods based on principal component analysis were less accurate (67% to 94%), but their computational dem...

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FISH: fast and accurate diploid genotype imputation via segmental hidden Markov model

MOTIVATION Fast and accurate genotype imputation is necessary for facilitating gene-mapping studies, especially with the ever increasing numbers of both common and rare variants generated by high-throughput-sequencing experiments. However, most of the existing imputation approaches suffer from either inaccurate results or heavy computational demand. RESULTS In this article, aiming to perform ...

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Genotype imputation.

Genotype imputation is now an essential tool in the analysis of genome-wide association scans. This technique allows geneticists to accurately evaluate the evidence for association at genetic markers that are not directly genotyped. Genotype imputation is particularly useful for combining results across studies that rely on different genotyping platforms but also increases the power of individu...

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ژورنال

عنوان ژورنال: BMC Research Notes

سال: 2012

ISSN: 1756-0500

DOI: 10.1186/1756-0500-5-404