Comparison of three boosting methods in parent-offspring trios for genotype imputation using simulation study

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Comparison of three boosting methods in parent-offspring trios for genotype imputation using simulation study

BACKGROUND Genotype imputation is an important process of predicting unknown genotypes, which uses reference population with dense genotypes to predict missing genotypes for both human and animal genetic variations at a low cost. Machine learning methods specially boosting methods have been used in genetic studies to explore the underlying genetic profile of disease and build models capable of ...

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Imputation of parent-offspring trios and their effect on accuracy of genomic prediction using Bayesian method

The objective of this study was to evaluate the imputation accuracy of parent-offspring trios under different scenarios. By using simulated datasets, the performance Bayesian LASSO in genomic prediction was also examined. The genome consisted of 5 chromosomes and each chromosome was set as 1 Morgan length. The number of SNPs per chromosome was 10000. One hundred QTLs were randomly distributed a...

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Genotype calling and haplotyping in parent-offspring trios.

Emerging sequencing technologies allow common and rare variants to be systematically assayed across the human genome in many individuals. In order to improve variant detection and genotype calling, raw sequence data are typically examined across many individuals. Here, we describe a method for genotype calling in settings where sequence data are available for unrelated individuals and parent-of...

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Efficient simulation of epistatic interactions in case-parent trios.

Statistical approaches to evaluate interactions between single nucleotide polymorphisms (SNPs) and SNP-environment interactions are of great importance in genetic association studies, as susceptibility to complex disease might be related to the interaction of multiple SNPs and/or environmental factors. With these methods under active development, algorithms to simulate genomic data sets are nee...

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Analyses and Comparison of Accuracy of Different Genotype Imputation Methods

The power of genetic association analyses is often compromised by missing genotypic data which contributes to lack of significant findings, e.g., in in silico replication studies. One solution is to impute untyped SNPs from typed flanking markers, based on known linkage disequilibrium (LD) relationships. Several imputation methods are available and their usefulness in association studies has be...

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ژورنال

عنوان ژورنال: Journal of Animal Science and Technology

سال: 2016

ISSN: 2055-0391

DOI: 10.1186/s40781-015-0081-1