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Integration of multiomic annotation data to prioritize and characterize inflammation and immune‐related risk variants in squamous cell lung cancer

Genetic Epidemiology(2020)10.1002/gepi.22358Source: DataRank Database

Integration of multiomic annotation data to prioritize and characterize inflammation and immune‐related risk variants in squamous cell lung cancer is a research paper published in Genetic Epidemiology (2020). On theSindex it has a DataRank of 0.357. It has been cited 8 times, with 2 citing works in its 1-hop citation network.

N/A

0.357DataRank · unranked

Scored on demand from live citation data

Open Access8 citations · 2 citing works in its network

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Linked data & code

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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 (22 grants)Impact (FWCI 0.57)OA: greenTopics (41)IDs (PubMed, PMC, OpenAlex)Annotations (2)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 92%Citation Network 8%

Base Score Contribution

0.330

From this paper's citation signal

Citation Network Contribution

0.0270

From 2 citing papers with measurable signal

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Top 2 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 2 citers.

Multiomic Investigations into Lung Health and Disease
Microorganisms202316 citations159 referencesContributes 0.018
Multiomic Investigations into Lung Health and Disease
Preprints.org20234 citations115 referencesContributes 0.014

Authors (51)

Miao Xu ORCID,Xihao Li ORCID,Sheila M. Gaynor ORCID,Hufeng Zhou ORCID,Zilin Li ORCID

Live enrichment

PubMed:32924180 PMC:PMC7855632 OpenAlex:https://openalex.org/W3085411495

National Institutes of Health

Grant: P42‐ES016454

National Institutes of Health

Grant: R01‐HL113338

National Institutes of Health

Grant: R35‐CA197449

National Institutes of Health

Grant: T32‐ES007142

National Institutes of Health

Grant: U01CA209414

National Institutes of Health

Grant: U19CA203654

World Health Organization

Grant: 001

NCI NIH HHS

Grant: P01 CA134294

NCI NIH HHS

Grant: P30 CA076292

NIGMS NIH HHS

Grant: T32 GM074897

NCI NIH HHS

Grant: U01 CA167462

NIEHS NIH HHS

Grant: T32 ES007142

NHGRI NIH HHS

Grant: U01 HG009088

NHLBI NIH HHS

Grant: R01 HL113338

NIEHS NIH HHS

Grant: P42 ES016454

NCI NIH HHS

Grant: R35 CA197449

National Institutes of Health

Grant: 5U19CA203654-04

Integrative analysis of lung cancer etiology and risk

National Institutes of Health

Grant: 5T32ES007142-33

Graduate Training in Biostatistics

National Institutes of Health

Grant: 5U01CA209414-09

The Boston Lung Cancer Survival Cohort

National Institutes of Health

Grant: 4R01HL113338-05

Leveraging Family Data to Identify Genetic Variants for Sleep Apnea

National Institutes of Health

Grant: 5R35CA197449-05

Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer Research

National Institutes of Health

Grant: 5P42ES016454-02

Superfund Metal Mixtures, Biomarkers and Neurodevelopment

FWCI

0.57

Citation Percentile

0.6%

Citation Trend

2020

2021

2022

2023

greenLicense: other-oa

repositoryhttps://researchprofiles.ku.dk/da/publications/5c0476dc-563c-4d3e-8fe1-c840ecd33c64

publisherhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fgepi.22358

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22358

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/gepi.22358

Fields of Study

Cancer-related molecular mechanisms researchRNA modifications and cancerEpigenetics and DNA Methylation0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

Epithelial CellsHumansInflammationLung NeoplasmsModels, GeneticGenetic Predisposition to DiseasePolymorphism, Single NucleotideGenome-Wide Association Study

Keywords

Genome-wide association studySingle-nucleotide polymorphismLung cancerGenetic associationBiologyCancerComputational biologyBioinformaticsGeneticsMedicineOncologyGeneMajor histocompatibility complexIntegrative OmicsGenome-wide AnnotationInflammationLung NeoplasmsModels, GeneticRadboud University Medical CenterEpithelial CellsRadboudumc 15: Urological cancers RIHS: Radboud Institute for Health SciencesGenome-wide Annotation ; Integrative Omics ; Lung Cancer ; Major Histocompatibility ComplexPolymorphism, Single NucleotideUrology - Radboud University Medical CenterHumansGenetic Predisposition to DiseaseHealth Evidence - Radboud University Medical Center

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

Integration of multiomic annotation data to prioritize and characterize inflammation and immune‐related risk variants in squamous cell lung cancer

FAIR Checklist

DataRank Breakdown

Top 2 citers driving the network score

Authors (51)

Funding (22 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)