Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Reverse gene–environment interaction approach to identify variants influencing body-mass index in humans

UNC Libraries(2021)10.17615/81g3-0603Source: DataRank Database

Reverse gene–environment interaction approach to identify variants influencing body-mass index in humans is a research paper published in UNC Libraries (2021). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Download PDF

Cite:

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 (7 grants)OA: hybridTopics (47)IDs (PubMed)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)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (15)

J.S. Sinsheimer,M. Alvarez,M. Laakso,K.M. Garske,C. Comenho

Live enrichment

PubMed:26207759

National Institutes of Health

Grant: 5T32LM012424-03

Biomedical Big Data Training Grant

National Institutes of Health

Grant: 5F31HL142180-02

Integrating functional genomics in primary human adipocytes to investigate gene regulatory circuitry for obesogenic cardiovascular traits

National Institutes of Health

Grant: 5P01HL028481-09

MOLECULAR GENETIC APPROACHES IN ATHEROSCLEROSIS RESEARCH

National Institutes of Health

Grant: 1F31HL127921-01A1

Identification of lipid biomarkers via integrative genomic approaches in Hispanic populations

National Institutes of Health

Grant: 3U01DK105561-03S1

Functional genetic variants for type 2 diabetes

National Institutes of Health

Grant: 5F31DK118865-02

Investigation of chromosomal interactions and obesogenic gene regulatory networks in adipose

National Institutes of Health

Grant: 5R01HL095056-04

Genetics of high serum triglycerides and related metabolic traits in Mexicans

hybridLicense: Springer Nature TDM

https://doi.org/10.1038/s42255-019-0071-6

https://europepmc.org/articles/pmc6752726?pdf=render

https://dx.doi.org/10.17615/81g3-0603

https://pubmed.ncbi.nlm.nih.gov/31538139

http://dx.doi.org/10.1038/s42255-019-0071-6

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

Gene-Environment Interaction (mesh)Medical Physiology3208 Medical physiology (for-2020)Medical Biochemistry and MetabolomicsCardiovascularBody Mass IndexModelsObesity (mesh)2.1 Biological and endogenous factors32 Biomedical and Clinical Sciences (for-2020)Cells, CulturedHumans (mesh)Nutrition and DieteticsCulturedCultured (mesh)Cells1.1 Normal biological development and functioning610Article3210 Nutrition and dietetics (for-2020)GeneticClinical ResearchUnderpinning researchGeneticsDietary Fats (mesh)HumansObesityMetabolic and endocrineNutrition1.1 Normal biological development and functioning (hrcs-rac)Cardiovascular (hrcs-hc)Biomedical and Clinical SciencesModels, GeneticGenetics (rcdc)Human GenomeBody Mass Index (mesh)2.1 Biological and endogenous factors (hrcs-rac)3205 Medical Biochemistry and Metabolomics (for-2020)Human Genome (rcdc)Dietary FatsNutrition (rcdc)Metabolic and endocrine (hrcs-hc)Genetic (mesh)Gene-Environment Interaction

Sustainable Development Goals

SDG 2: 2. Zero hungerSDG 13: 13. Climate action