ArticleScience (New York, N.Y.)2022
Population genetics meets single-cell sequencing.
Article in Science (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- What Are the Practical Applications of Single-Cell Proteomics?Proteomes · 2026Article
- Spatial GWAS Atlas: a knowledgebase for decoding the genetic architecture of complex traits in spatial resolution.Nucleic acids research · 2026Article
- ti-scMR: trajectory-inference-based dynamic single-cell Mendelian randomization identifies causal genes underlying phenotypic differences.NAR genomics and bioinformatics · 2025Article
- Single-Cell Dissection of the Serrated Pathway: Cellular Heterogeneity and Genetic Causality in Colorectal Cancer.International journal of molecular sciences · 2025Article
- Hierarchical annotation of eQTLs by H-eQTL enables identification of genes with cell type-divergent regulation.Genome biology · 2024Article
- Single-nucleotide variant calling in single-cell sequencing data with Monopogen.Nature biotechnology · 2024Article
- PharmGWAS: a GWAS-based knowledgebase for drug repurposing.Nucleic acids research · 2024Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell technology can be used to understand the genetic basis of human diseases.
Indexed as
Identifiers
35389792What OpenQuestion holds
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.