{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T20:34:01Z","timestamp":1772138041340,"version":"3.50.1"},"reference-count":42,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2020,11,9]],"date-time":"2020-11-09T00:00:00Z","timestamp":1604880000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000265","name":"UK Medical Research Council","doi-asserted-by":"crossref","award":["MC_UU_00011\/4"],"award-info":[{"award-number":["MC_UU_00011\/4"]}],"id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"crossref"}]},{"name":"University of Bristol Vice-Chancellors Fellow"},{"name":"Wellcome Trust and Royal Society","award":["208806\/Z\/17\/Z"],"award-info":[{"award-number":["208806\/Z\/17\/Z"]}]},{"name":"Cancer Research UK programme","award":["C18281\/A19169"],"award-info":[{"award-number":["C18281\/A19169"]}]},{"name":"British Heart Foundation Accelerator","award":["AA\/18\/7\/34219"],"award-info":[{"award-number":["AA\/18\/7\/34219"]}]},{"name":"NIHR Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol"},{"name":"GlaxoSmithKline and Biogen"},{"DOI":"10.13039\/100004330","name":"GlaxoSmithKline","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004330","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,6,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>The wealth of data resources on human phenotypes, risk factors, molecular traits and therapeutic interventions presents new opportunities for population health sciences. These opportunities are paralleled by a growing need for data integration, curation and mining to increase research efficiency, reduce mis-inference and ensure reproducible research.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We developed EpiGraphDB (https:\/\/epigraphdb.org\/), a graph database containing an array of different biomedical and epidemiological relationships and an analytical platform to support their use in human population health data science. In addition, we present three case studies that illustrate the value of this platform. The first uses EpiGraphDB to evaluate potential pleiotropic relationships, addressing mis-inference in systematic causal analysis. In the second case study, we illustrate how protein\u2013protein interaction data offer opportunities to identify new drug targets. The final case study integrates causal inference using Mendelian randomization with relationships mined from the biomedical literature to \u2018triangulate\u2019 evidence from different sources.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>The EpiGraphDB platform is openly available at https:\/\/epigraphdb.org. Code for replicating case study results is available at https:\/\/github.com\/MRCIEU\/epigraphdb as Jupyter notebooks using the API, and https:\/\/mrcieu.github.io\/epigraphdb-r using the R package.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Supplementary information<\/jats:title>\n                    <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaa961","type":"journal-article","created":{"date-parts":[[2020,11,4]],"date-time":"2020-11-04T23:15:35Z","timestamp":1604531735000},"page":"1304-1311","source":"Crossref","is-referenced-by-count":51,"title":["EpiGraphDB: a database and data mining platform for health data science"],"prefix":"10.1093","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2051-440X","authenticated-orcid":false,"given":"Yi","family":"Liu","sequence":"first","affiliation":[{"name":"MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol , Bristol, UK"}]},{"given":"Benjamin","family":"Elsworth","sequence":"additional","affiliation":[{"name":"MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol , Bristol, UK"}]},{"given":"Pau","family":"Erola","sequence":"additional","affiliation":[{"name":"MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol , Bristol, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3874-0683","authenticated-orcid":false,"given":"Valeriia","family":"Haberland","sequence":"additional","affiliation":[{"name":"Cancer Genetics, Norwich Medical School, University of East Anglia , Norwich, UK"}]},{"given":"Gibran","family":"Hemani","sequence":"additional","affiliation":[{"name":"MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol , Bristol, UK"}]},{"given":"Matt","family":"Lyon","sequence":"additional","affiliation":[{"name":"MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol , Bristol, UK"},{"name":"NIHR Bristol Biomedical Research Centre, University of Bristol , Bristol, UK"}]},{"given":"Jie","family":"Zheng","sequence":"additional","affiliation":[{"name":"MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol , Bristol, UK"}]},{"given":"Oliver","family":"Lloyd","sequence":"additional","affiliation":[{"name":"MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol , Bristol, UK"}]},{"given":"Marina","family":"Vabistsevits","sequence":"additional","affiliation":[{"name":"MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol , Bristol, UK"}]},{"given":"Tom R","family":"Gaunt","sequence":"additional","affiliation":[{"name":"MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol , Bristol, UK"},{"name":"NIHR Bristol Biomedical Research Centre, University of Bristol , Bristol, UK"}]}],"member":"286","published-online":{"date-parts":[[2020,11,24]]},"reference":[{"key":"2023051706054321500_btaa961-B1","author":"Abbot","year":"2020"},{"key":"2023051706054321500_btaa961-B2","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.ijcard.2008.06.082","article-title":"A new frame in thromboembolic cardiovascular disease: adipocytokine","volume":"139","author":"Amasyali","year":"2010","journal-title":"Int. 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