Article

Efficient phasing and imputation of low-coverage sequencing data using large reference panels

2020-04-14

Abstract excerpt

Low-coverage whole genome sequencing followed by imputation has been proposed as a cost-effective genotyping approach for disease and population genetics studies. However, its competitiveness against SNP arrays is undermined as current imputation methods are computationally expensive and unable to leverage large reference panels. Here, we describe a method, GLIMPSE, for phasing and imputation of low-coverage seque...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ff541e24-61c3-5313-8095-b89392a6675f
DOI: 10.1101/2020.04.14.040329

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Efficient phasing and imputation of low-coverage sequencing data using large reference panelsDOI 10.1101/2020.04.14.040329Read

Efficient phasing and imputation of low-coverage sequencing data using large reference panels.Semantic proximity Read

Imputation of low-coverage sequencing data from 150,119 UK Biobank genomes.Semantic proximity Read

MetaGLIMPSE: Meta-imputation of low-coverage sequencing data for modern and ancient genomes.Semantic proximity Read

Imputation and polygenic score performance of low coverage whole-genome sequencing and genotyping arrays in diverse human populationsSemantic proximity Read

GeneImp: Fast Imputation to Large Reference Panels Using Genotype Likelihoods from Ultralow Coverage Sequencing.Semantic proximity Read

Benchmarking Imputed Low Coverage Genomes in a Human Population Genetics ContextSemantic proximity Read

Fast imputation using medium or low-coverage sequence data.Semantic proximity Read

High-quality Population-specific Haplotype-resolved Reference Panel in the Genomic and Pangenomic Eras.Semantic proximity Read

Rapid genotype imputation from sequence with reference panels.Semantic proximity Read

Accurate imputation of African cattle genomes using a diverse reference panel.Semantic proximity Read

Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel.Semantic proximity Read

Efficiency and power as a function of sequence coverage, SNP array density, and imputation.Semantic proximity Read