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Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network

Bioinformatics(2024)10.1093/bioinformatics/btae126Source: DataRank Database

Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network is a research paper published in Bioinformatics (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.

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0DataRank · unranked

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Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 0.78)OA: goldTopics (43)IDs (PubMed, OpenAlex)SDGs (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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Authors (5)

Vivek Sriram ORCID,Yonghyun Nam ORCID,Anurag Verma ORCID,Dokyoon Kim ORCID,Jakob Woerner

Live enrichment

PubMed:38527901 OpenAlex:https://openalex.org/W4393167142

National Institute of General Medical Sciences

Grant: R01 GM138597

National Institute of General Medical Sciences

Grant: S10OD023495

FWCI

0.78

Citation Percentile

0.7%

Citation Trend

2025

goldLicense: cc-by

journalhttps://academic.oup.com/bioinformatics/article-pdf/40/3/btae126/57087814/btae126.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/40/3/btae126/57087814/btae126.pdf

journalhttps://doi.org/10.1093/bioinformatics/btae126

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38527901

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10963079

Fields of Study

Genetic Associations and EpidemiologyBioinformatics and Genomic NetworksChronic Disease Management StrategiesHumansDiabetes Mellitus, Type 2EndophenotypesGenome-Wide Association StudyPhenotypeCardiovascular DiseasesBiomarkersPolymorphism, Single NucleotideGenetic Predisposition to Disease

MeSH Terms

Cardiovascular DiseasesDiabetes Mellitus, Type 2HumansPhenotypeBiomarkersGenetic Predisposition to DiseasePolymorphism, Single NucleotideGenome-Wide Association StudyEndophenotypes

Keywords

EndophenotypeDiseaseSingle-nucleotide polymorphismPleiotropyBiobankMissing heritability problemBiologyGenetic associationMendelian inheritanceHeritabilityGeneticsGenome-wide association studySNPMultifactorial InheritanceGenetic architectureConcordanceComputational biologyPhenotypeMedicineGenotypeGeneNeuroscience

Sustainable Development Goals

SDG 0: Good health and well-being