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Discovery of target genes and pathways at GWAS loci by pooled single-cell CRISPR screens

Science(2023)10.1126/science.adh7699Source: DataRank Database

Discovery of target genes and pathways at GWAS loci by pooled single-cell CRISPR screens is a research paper published in Science (2023). On theSindex it has a DataRank of 5.2. It has been cited 207 times, with 174 citing works in its 1-hop citation network.

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5.2DataRank · unranked

Scored on demand from live citation data

Open Access207 citations · 174 citing works in its network

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geo gen refsnp uniprot

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (9 grants)Impact (FWCI 20.69)OA: greenTopics (29)Linked Datasets (20)DataCite Reuse (20)IDs (PubMed, PMC, OpenAlex)Annotations (4)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 15%Citation Network 85%

Base Score Contribution

0.801

From this paper's citation signal

Citation Network Contribution

4.4

From 135 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 174 citers.

Connecting noncoding variants to human traits
Nature Reviews Genetics20236 citations1 referencesContributes 1.946
AlphaGenome, a Swiss-army knife for exploring non-coding DNA
Trends in Genetics20252 citations7 referencesContributes 0.157
Systematic differences in discovery of genetic effects on gene expression and complex traits
Nature Genetics2023340 citations81 referencesContributes 0.072
Trans-eQTL mapping in gene sets identifies network effects of genetic variants
Cell Genomics202426 citations48 referencesContributes 0.069
Multiplex, single-cell CRISPRa screening for cell type specific regulatory elements
Nature Communications202443 citations57 referencesContributes 0.066

Authors (16)

Christina M. Caragine ORCID,Zharko Daniloski ORCID,Júlia Domingo ORCID,Timothy Barry ORCID,Lu Lu ORCID

Live enrichment

PubMed:37141313 PMC:PMC10518238 OpenAlex:https://openalex.org/W4368347467

NHGRI NIH HHS

Grant: DP2 HG010099

NIMH NIH HHS

Grant: R01 MH106842

NHGRI NIH HHS

Grant: UM1 HG008901

NIAID NIH HHS

Grant: R01 AI176601

NIGMS NIH HHS

Grant: R01 GM122924

NIMH NIH HHS

Grant: R01 MH123184

NHGRI NIH HHS

Grant: K99 HG012792

NCI NIH HHS

Grant: R01 CA279135

NCI NIH HHS

Grant: R01 CA218668

FWCI

20.69

Citation Percentile

1.0%

Influential Citations

Citation Trend

2023

2024

2025

2026

green

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10518238/pdf/nihms-1931649.pdf

GREENhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10518238/pdf/nihms-1931649.pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10518238/pdf/nihms-1931649.pdf

publisherhttps://www.science.org/doi/pdf/10.1126/science.adh7699

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10518238

Fields of Study

Single-cell and spatial transcriptomicsCRISPR and Genetic EngineeringRNA modifications and cancerMedicineBiology

MeSH Terms

RNA-SeqBlood CellsDiseaseHumansGenetic Predisposition to DiseaseMultifactorial InheritancePolymorphism, Single NucleotideQuantitative Trait LociProteomicsGenome-Wide Association StudySingle-Cell AnalysisClustered Regularly Interspaced Short Palindromic Repeats

Keywords

BiologyGenome-wide association studyGeneticsGeneComputational biologyGenomeCRISPRGenomicsQuantitative trait locusExpression quantitative trait lociSingle-nucleotide polymorphismGenotype

Additional file 1 of scSNV-seq: high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and transcriptomics

10.6084/m9.figshare.25001673.v1figshare

Additional file 1 of scSNV-seq: high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and transcriptomics

10.6084/m9.figshare.25001673figshare

Additional file 5 of scSNV-seq: high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and transcriptomics

10.6084/m9.figshare.26667876.v1figshare

Additional file 5 of scSNV-seq: high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and transcriptomics

10.6084/m9.figshare.26667876figshare

Additional file 5 of Genetic insights into superior grain number traits: a QTL analysis of wheat-Agropyron cristatum derivative pubing3228

10.6084/m9.figshare.26704953.v1figshare

Additional file 5 of Genetic insights into superior grain number traits: a QTL analysis of wheat-Agropyron cristatum derivative pubing3228

10.6084/m9.figshare.26704953figshare

Additional file 4 of scSNV-seq: high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and transcriptomics

10.6084/m9.figshare.26667873.v1figshare

Additional file 2 of scSNV-seq: high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and transcriptomics

10.6084/m9.figshare.25001739.v1figshare

Additional file 3 of scSNV-seq: high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and transcriptomics

10.6084/m9.figshare.26667870figshare

Additional file 3 of scSNV-seq: high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and transcriptomics

10.6084/m9.figshare.26667870.v1figshare

Additional file 2 of scSNV-seq: high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and transcriptomics

10.6084/m9.figshare.25001739figshare

Additional file 4 of scSNV-seq: high-throughput phenotyping of single nucleotide variants by coupled single-cell genotyping and transcriptomics

10.6084/m9.figshare.26667873figshare

Additional file 4 of Genetic insights into superior grain number traits: a QTL analysis of wheat-Agropyron cristatum derivative pubing3228

10.6084/m9.figshare.26704950figshare

Additional file 2 of Genetic insights into superior grain number traits: a QTL analysis of wheat-Agropyron cristatum derivative pubing3228

10.6084/m9.figshare.26704944.v1figshare

Additional file 1 of Genetic insights into superior grain number traits: a QTL analysis of wheat-Agropyron cristatum derivative pubing3228

10.6084/m9.figshare.26704941.v1figshare

Additional file 1 of Genetic insights into superior grain number traits: a QTL analysis of wheat-Agropyron cristatum derivative pubing3228

10.6084/m9.figshare.26704941figshare

Additional file 3 of Genetic insights into superior grain number traits: a QTL analysis of wheat-Agropyron cristatum derivative pubing3228

10.6084/m9.figshare.26704947.v1figshare

Additional file 4 of Genetic insights into superior grain number traits: a QTL analysis of wheat-Agropyron cristatum derivative pubing3228

10.6084/m9.figshare.26704950.v1figshare

Additional file 2 of Genetic insights into superior grain number traits: a QTL analysis of wheat-Agropyron cristatum derivative pubing3228

10.6084/m9.figshare.26704944figshare

Additional file 3 of Genetic insights into superior grain number traits: a QTL analysis of wheat-Agropyron cristatum derivative pubing3228

10.6084/m9.figshare.26704947figshare

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Discovery of target genes and pathways at GWAS loci by pooled single-cell CRISPR screens

FAIR Checklist

DataRank Breakdown

Top 5 citers driving the network score

Authors (16)

Funding (9 grants)

Impact

Open Access

Topics

Linked Datasets (20)

Annotations (Europe PMC)

Related Papers (10)