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Identification and analysis of individuals who deviate from their genetically-predicted phenotype

PLoS Genetics(2023)10.1371/journal.pgen.1010934Source: DataRank Database

Identification and analysis of individuals who deviate from their genetically-predicted phenotype is a research paper published in PLoS Genetics (2023). On theSindex it has a DataRank of 0.385. It has been cited 12 times.

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0.385DataRank · unranked

Scored on demand from live citation data

Open Access12 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (13 grants)OA: goldTopics (31)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)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.385

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (10)

Loic Yengo,Sailaja Vedantam ORCID,Eirini Marouli ORCID,Robin N. Beaumont ORCID,Jessica Tyrrell ORCID

Live enrichment

PubMed:37733769

Innovative Medicines Initiative

Grant: 875534

Stratification of Obesity Phenotypes to Optimize Future Therapy

Academy of Medical Sciences

Grant: SBF004\1079

Academy of Medical Sciences

Grant: SBF006134

Medical Research Council

Grant: MR/WO14548/1

Medical Research Council

Grant: MR/T002239/1

Using genetics to test the disease consequences of higher adiposity uncoupled from its adverse metabolic effects

Australian Research Council

Grant: DE200100425

Discovery Early Career Researcher Award - Grant ID: DE200100425

National Institutes of Health

Grant: R01 DK075787

Wellcome Trust

Grant: unidentified

unidentified

National Institutes of Health

Grant: 5R01DK075787-17

Biological Insights from Genetic Investigation of ANthropometric Traits (GIANT) Across the Allelic Spectrum

Wellcome Trust

Grant: 101650

Maximizing South West Biomedical Sequencing and Informatics Capability.

UK Research and Innovation

Grant: MR/M008924/1

Accelerated discovery of functional non-coding genomic variation using single molecule real-time (SMRT) sequencing.

UK Research and Innovation

Grant: BB/K003240/1

Engineering Synthetic Microbial Communities for Biomethane Production

Wellcome Trust

Grant: 097835

Institutional Strategic Support Fund 2011/12.

goldLicense: cc-by

publisherhttps://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1010934&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pgen.1010934

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10564121/pdf/pgen.1010934.pdf

repositoryhttps://doaj.org/article/de75353f177a495d861e3958357fc622

repositoryhttp://hdl.handle.net/10871/134955

Fields of Study

0301 basic medicine03 medical and health sciences0303 health sciences

Keywords

2716 Genetics (clinical)610Coronary Artery DiseaseQH426-470Polymorphism, Single NucleotideArticleLDLAssociation1311 GeneticsRisk Factors1312 Molecular BiologyGeneticsHumans1306 Cancer ResearchPolymorphismChildLinkageVariantsSingle NucleotideCholesterol, LDLMendelian Randomization AnalysisCholesterol1105 Ecology, Evolution, Behavior and SystematicsPhenotypeMarfan-SyndromeResearch ArticleGenome-Wide Association StudyFollow-Up Studies

Sustainable Development Goals

SDG 2: 2. Zero hungerSDG 3: 3. Good health