A genotype imputation method for de-identified haplotype reference information by using recurrent neural network
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Title
A genotype imputation method for de-identified haplotype reference information by using recurrent neural network
Authors
Keywords
Haplotypes, Genome-wide association studies, Variant genotypes, Alleles, Genomics, Principal component analysis, Recurrent neural networks, Single nucleotide polymorphisms
Journal
PLoS Computational Biology
Volume 16, Issue 10, Pages e1008207
Publisher
Public Library of Science (PLoS)
Online
2020-10-02
DOI
10.1371/journal.pcbi.1008207
References
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- A One-Penny Imputed Genome from Next-Generation Reference Panels
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- Highly Accurate and Efficient Data-Driven Methods For Genotype Imputation
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- A global reference for human genetic variation
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- Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index
- (2015) Jian Yang et al. NATURE GENETICS
- Genotype Imputation with Thousands of Genomes
- (2011) Bryan Howie et al. G3-Genes Genomes Genetics
- Genotype imputation for genome-wide association studies
- (2010) Jonathan Marchini et al. NATURE REVIEWS GENETICS
- Meta-Analysis of Genome-wide Association Studies with Overlapping Subjects
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