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Novel EDGE encoding method enhances ability to identify genetic interactions

PLoS Genetics(2021)10.1371/journal.pgen.1009534Source: DataRank Database

Novel EDGE encoding method enhances ability to identify genetic interactions is a research paper published in PLoS Genetics (2021). On theSindex it has a DataRank of 0.402. It has been cited 8 times, with 5 citing works in its 1-hop citation network.

N/A

0.402DataRank · unranked

Scored on demand from live citation data

Open Access8 citations · 5 citing works in its network

Cite:

Linked data & code

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (40 grants)Impact (FWCI 1.06)OA: goldTopics (71)IDs (PubMed, PMC, OpenAlex)Annotations (1)

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 82%Citation Network 18%

Base Score Contribution

0.330

From this paper's citation signal

Citation Network Contribution

0.0721

From 4 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 5 citers.

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Communications Biology20247 citations79 referencesContributes 0.026
Digging deeper into GWAS signal using GRIN implicates additional genes contributing to suicidal behavior
medRxiv20223 citations59 referencesContributes 0.023
Dominance is common in mammals and is associated with trans-acting gene expression and alternative splicing
bioRxiv (Cold Spring Harbor Laboratory)20231 citations95 referencesContributes 0.007
DIP2B Gene Polymorphisms Are Associated with Susceptibility and Clinical Phenotypes of Autism Spectrum Disorder
European Journal of Psychology Open20260 citations37 referencesContributes 0.000

Authors (21)

John R. Wallace ORCID,Anastasia Lucas,Yuki Bradford,Shefali S. Verma ORCID,Bertram Müller‐Myhsok ORCID

Live enrichment

PubMed:34086673 PMC:PMC8208534 OpenAlex:https://openalex.org/W3165507862

National Institutes of Health

Grant: LM010098

National Institutes of Health

Grant: AI116794

National Human Genome Research Institute

Grant: U01HG006828

National Human Genome Research Institute

Grant: U01HG006830

National Human Genome Research Institute

Grant: U01HG006389

National Human Genome Research Institute

Grant: U01HG006382

National Human Genome Research Institute

Grant: U01HG006375

National Human Genome Research Institute

Grant: U01HG006379

National Human Genome Research Institute

Grant: U01HG006380

National Human Genome Research Institute

Grant: U01HG006388

National Human Genome Research Institute

Grant: U01HG006378

National Human Genome Research Institute

Grant: U01HG006385

National Human Genome Research Institute

Grant: U01HG004438

National Human Genome Research Institute

Grant: U01HG004424

PGRNSeq dataset

Grant: data collection grant

Agricultural Research Service

Grant: PEN04275

College of Agricultural Sciences

Grant: startup funds

Social Science Research Institute, Pennsylvania State University

Grant: the Dr. Frances Keesler Graham Early Career Professorship

Medical Research Council

Grant: MC_PC_17228

NLM NIH HHS

Grant: R01 LM010098

Medical Research Council

Grant: MC_QA137853

NIAID NIH HHS

Grant: R01 AI024717

NIAID NIH HHS

Grant: R01 AI116794

National Institutes of Health

Grant: 3U01HG006382-02S1

Geisinger eGenonic Medicine (GeM) Program

National Institutes of Health

Grant: 5U01HG004438-04

JH/CIDR Genotyping for Genome-Wide Association Studies

National Institutes of Health

Grant: 1U01HG006380-01

Biorepository for Genomic Medicine in diverse Communities

National Institutes of Health

Grant: 3U01HG006379-12S3

EHR-based Genomic Discovery and Implementation (Supplement)

National Institutes of Health

Grant: 3U01HG006388-01S1

A Personalized Genomic Medicine Pilot Program Using the NJgene eMERGE Experience

National Institutes of Health

Grant: 5U01HG006375-03

Genetic Discovery and Application in a Clinical Setting Continuing a Partnership

National Institutes of Health

Grant: 1U01HG006828-01

Better Outcomes for Children: GWAS & PheWAS in eMERGEII.

National Institutes of Health

Grant: 3U01HG006378-02S1

Vanderbilt Genome Electronic Records Project

National Institutes of Health

Grant: 5R01LM010098-14

Bioinformatics Strategies for Genome Wide Association Studies

National Institutes of Health

Grant: 3U01HG006389-03S1

IRIS: Incorporating Research Into Sight

National Institutes of Health

Grant: 5R01AI116794-03

Biomedical Computing and Informatics Strategies for Infectious Disease Research

National Institutes of Health

Grant: 3U01HG006385-02S1

eMERGE Coordinating Center

National Institutes of Health

Grant: 3U01HG006830-02S2

Integrative Analysis of a GWAS Repository with EMRs from over 40,000 Children

National Institutes of Health

Grant: 5U01HG004424-02

A Center for GEI Association Studies

Pennsylvania State University

Fonds de la Recherche Scientifique

WELBIO

FWCI

1.06

Citation Percentile

0.8%

Citation Trend

2022

2023

2024

2026

goldLicense: cc-by

journalhttps://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1009534&type=printable

publisherhttps://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1009534&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pgen.1009534

journalhttps://doi.org/10.1371/journal.pgen.1009534

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34086673

Fields of Study

Genetic Associations and EpidemiologyBioinformatics and Genomic NetworksMachine Learning in Bioinformatics0301 basic medicine03 medical and health sciencesCataractDatasets as TopicDiabetes Mellitus, Type 2Gene FrequencyGenome-Wide Association StudyGlaucomaHumansHypertensionMacular DegenerationModels, GeneticPhenotypePolymorphism, Single Nucleotide

MeSH Terms

CataractDiabetes Mellitus, Type 2Gene FrequencyGlaucomaHumansHypertensionMacular DegenerationModels, GeneticPhenotypePolymorphism, Single NucleotideGenome-Wide Association StudyDatasets as Topic

Keywords

GeneticsSingle-nucleotide polymorphismBiologyMinor allele frequencyGenome-wide association studySNPEpistasisGenetic modelComputational biologyGenotypeGeneDatasets as TopicSUSCEPTIBILITYQH426-470Polymorphism, Single NucleotideDISEASE3105 GeneticsCataractMacular DegenerationGene FrequencyLOCUSHumansGENOME-WIDE ASSOCIATIONGenetics & HeredityTOOLS0604 GeneticsScience & TechnologyEMERGE NETWORKModels, GeneticELECTRONIC MEDICAL-RECORDSGlaucomaLife sciencesBREAST-CANCER RISKPOLYMORPHISMISCHEMIC-STROKEPhenotypeDiabetes Mellitus, Type 2HypertensionSciences du vivantLife Sciences & BiomedicineDevelopmental BiologyResearch Article

Related Papers (1)

The power of genetic diversity in genome-wide association studies of lipids

N/A

9.9DataRank · unranked

Nature(2021)

co-cited

10.1038/s41586-021-04064-3