ArticleAmerican journal of human genetics2021
Low-coverage sequencing cost-effectively detects known and novel variation in underrepresented populations.
Article in American journal of human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
72 citing papers in PubMed, 120 citations in OpenAlex.
- Schizophrenia Spectrum Biomarkers Consortium: Establishment of a Biorepository for the Discovery of Quantitative Fluid Biomarkers.Schizophrenia bulletin · 2026Article
- Identification of novel loci regulating circulating melatonin and its causal relationship with hypertension.Human genetics · 2026Article
- A blended genome and exome sequencing method captures genetic variation in an unbiased and cost-effective manner.Nature genetics · 2026Article
- A scalable framework for single-cell eQTL mapping uncovers genetic regulators of meat production traits in pigs.Journal of animal science and biotechnology · 2026Article
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- Minimizing reference bias with an imputed personalized reference.Genome research · 2026Article
- Genetic predictors of lithium response in an ethiopian cohort of patients with bipolar disorder.Annals of general psychiatry · 2026Article
- Benchmarking imputation accuracy in the presence or absence of a reference panel.Molecular biology and evolution · 2026Article
- MetaGLIMPSE: Meta-imputation of low-coverage sequencing data for modern and ancient genomes.American journal of human genetics · 2026Article
- A novel simulation tool for low-coverage whole-genome sequencing using multivariate Gaussian mixture models.BMC bioinformatics · 2026Article
- The OurHealth Study: A digital genomic cohort for cardiometabolic risk mechanisms in US South Asians.NPJ digital medicine · 2026Review
- Whole-genome sequencing reveals genomic diversity and selection signatures for adaptation in South African Afrikaner and Bonsmara cattle.Frontiers in genetics · 2026Article
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- Pangenome-based genome inference using integer programming.Genome research · 2025Article
- Assessing Genotype Imputation Methods for Low-Coverage Sequencing Data in Populations With Differing Relatedness and Inbreeding Levels.Molecular ecology resources · 2025Article
- Genotype imputation from low-coverage data for medical and population genetic analyses.Genome research · 2025Article
- MetaGLIMPSE: Meta Imputation of Low Coverage Sequencing Data for Modern and Ancient Genomes.bioRxiv : the preprint server for biology · 2025Article
- Benchmarking of low coverage sequencing workflows for precision genotyping in eggplant.BMC plant biology · 2025Article
- A map of blood regulatory variation in South Africans enables GWAS interpretation.Nature genetics · 2025Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
40 authors at 10 institutions in 7 countries.
Funding
Abstract
Genetic studies in underrepresented populations identify disproportionate numbers of novel associations. However, most genetic studies use genotyping arrays and sequenced reference panels that best capture variation most common in European ancestry populations. To compare data generation strategies best suited for underrepresented populations, we sequenced the whole genomes of 91 individuals to high coverage as part of the Neuropsychiatric Genetics of African Population-Psychosis (NeuroGAP-Psychosis) study with participants from Ethiopia, Kenya, South Africa, and Uganda. We used a downsampling approach to evaluate the quality of two cost-effective data generation strategies, GWAS arrays versus low-coverage sequencing, by calculating the concordance of imputed variants from these technologies with those from deep whole-genome sequencing data. We show that low-coverage sequencing at a depth of ≥4× captures variants of all frequencies more accurately than all commonly used GWAS arrays investigated and at a comparable cost. Lower depths of sequencing (0.5-1×) performed comparably to commonly used low-density GWAS arrays. Low-coverage sequencing is also sensitive to novel variation; 4× sequencing detects 45% of singletons and 95% of common variants identified in high-coverage African whole genomes. Low-coverage sequencing approaches surmount the problems induced by the ascertainment of common genotyping arrays, effectively identify novel variation particularly in underrepresented populations, and present opportunities to enhance variant discovery at a cost similar to traditional approaches.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.