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Bayesian variable selection with a pleiotropic loss function in Mendelian randomization

Statistics in Medicine(2021)10.1002/sim.9109Source: DataRank Database

Bayesian variable selection with a pleiotropic loss function in Mendelian randomization is a research paper published in Statistics in Medicine (2021). On theSindex it has a DataRank of 0. It has been cited 19 times.

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Scored on demand from live citation data

Open Access19 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (16 grants)Impact (FWCI 2.42)OA: hybridTopics (47)IDs (PubMed, PMC, OpenAlex)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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Authors (4)

Stephen Burgess ORCID,David V. Conti ORCID,Paul J. Newcombe ORCID,Apostolos Gkatzionis ORCID

Live enrichment

PubMed:34155684 PMC:PMC8446304 OpenAlex:https://openalex.org/W3173746581

Medical Research Council Canada

Grant: MC UU 00002/7

Medical Research Council Canada

Grant: MC UU 00011/3

Medical Research Council Canada

Grant: RG88311

National Cancer Institute

Grant: NIH/NCI P01CA196569

Wellcome Trust

Grant: 204623/Z/16/Z

British Heart Foundation

Grant: RG/18/13/33946

British Heart Foundation

Grant: CH/12/2/29428

British Heart Foundation

Grant: RG/13/13/30194

NCI NIH HHS

Grant: U01 CA261339

National Institute for Health Research (NIHR)

Grant: NF-SI-0617-10113

Wellcome Trust

Grant: 204623

Genetics and causality: towards more accessible and more reliable Mendelian randomization investigations

Medical Research Council

Grant: HDR-9004

Medical Research Council

Grant: MC_UU_00002/7

NCI NIH HHS

Grant: P01 CA196569

Medical Research Council

Grant: MC_UU_00011/3

National Institutes of Health

Grant: 5P01CA196569-03

Statistical Methods for Integrative Genomics in Cancer

FWCI

2.42

Citation Percentile

0.9%

Citation Trend

2020

2021

2022

2023

2024

2025

2026

hybridLicense: cc-by

journalhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.9109

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.9109

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9109

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/sim.9109

journalhttps://doi.org/10.1002/sim.9109

Fields of Study

Genetic Associations and EpidemiologyLiver Disease Diagnosis and TreatmentGenetic and phenotypic traits in livestock0301 basic medicine03 medical and health sciences0303 health sciences

MeSH Terms

Bayes TheoremHumansRisk FactorsGenetic VariationCausalityGenome-Wide Association StudyMendelian Randomization AnalysisGenetic Pleiotropy

Keywords

Mendelian randomizationPleiotropySelection (genetic algorithm)InferenceContext (archaeology)Computer scienceStatisticsGeneticsBiologyMathematicsGenetic variantsMachine learningArtificial intelligencePhenotypeGeneVariable selectionInstrumental VariablesGeneral Bayesian Inference610Instrumental Variable AnalysisArticleApplications of statistics to biology and medical sciences; meta analysisRESEARCH ARTICLESRESEARCH ARTICLERisk FactorsHumans500Genetic VariationBayes TheoremGenetic PleiotropyMendelian Randomization AnalysisCausalityGenome-Wide Association Study

Sustainable Development Goals

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