Article

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

2025-07-22

Abstract excerpt

Genome-wide association studies and polygenic score analysis rely on large-scale genotypic data, traditionally obtained through SNP arrays and imputation. However, low coverage whole-genome sequencing has emerged as a promising alternative. This study presents a comprehensive comparison of imputation accuracy and polygenic score performance between eight high-performance genotyping arrays and six low coverage whol...

Topics

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

Identifiers and source

Literature Corpus work: d2e31243-bdd8-522d-b44c-197371ff143a
DOI: 10.1101/2025.07.18.665609

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Imputation and polygenic score performance of low coverage whole-genome sequencing and genotyping arrays in diverse human populationsDOI 10.1101/2025.07.18.665609Read

Low-pass sequencing increases the power of GWAS and decreases measurement error of polygenic risk scores compared to genotyping arraysSemantic proximity Read

Low-pass sequencing increases the power of GWAS and decreases measurement error of polygenic risk scores compared to genotyping arrays.Semantic proximity Read

Efficient phasing and imputation of low-coverage sequencing data using large reference panelsSemantic proximity Read

Low coverage whole genome sequencing enables accurate assessment of common variants and calculation of genome-wide polygenic scoresSemantic proximity Read

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

A comprehensive evaluation of polygenic score and genotype imputation performances of human SNP arrays in diverse populations.Semantic proximity Read

Imputation and polygenic score performances of human genotyping arrays in diverse populationsSemantic proximity Read

Low coverage whole genome sequencing enables accurate assessment of common variants and calculation of genome-wide polygenic scores.Semantic proximity Read

Genotype error due to low-coverage sequencing induces uncertainty in polygenic scoring.Semantic proximity Read

Genotype imputation from low-coverage data for medical and population genetic analyses.Semantic proximity Read

Sequencing and Imputation in GWAS: Cost-Effective Strategies to Increase Power and Genomic Coverage Across Diverse PopulationsSemantic proximity Read

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