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Using bidirectional Mendelian randomization, we find that the associations highlighted likely reflect the effect of risk factors, such as adiposity or liability towards smoking, on systemic inflammation as opposed to the converse direction. Moreover, we repeated all analyses in our atlas within age strata to investigate potential sources of collider bias, such as medication usage. This was exemplified by comparing associations between lipoprotein lipid profiles and the coronary artery disease PGS in the youngest and oldest age strata, which had differing proportions of individuals undergoing statin therapy. Lastly, we generated all PGS\u2013metabolite associations stratified by sex and separately after excluding 13 established lipid-associated loci to further evaluate the robustness of findings.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"abs4\">\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>\n                      We envisage that the atlas of results constructed in our study will motivate future hypothesis generation and help prioritize and deprioritize circulating metabolic traits for in-depth investigations. All results can be visualized and downloaded at\n                      <jats:ext-link ext-link-type=\"uri\" xlink:href=\"http:\/\/mrcieu.mrsoftware.org\/metabolites_PRS_atlas\">http:\/\/mrcieu.mrsoftware.org\/metabolites_PRS_atlas<\/jats:ext-link>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"abs5\">\n                    <jats:title>Funding:<\/jats:title>\n                    <jats:p>This work is supported by funding from the Wellcome Trust, the British Heart Foundation, and the Medical Research Council Integrative Epidemiology Unit.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.7554\/elife.73951","type":"journal-article","created":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T07:15:15Z","timestamp":1662966915000},"update-policy":"https:\/\/doi.org\/10.7554\/elife.73951","source":"Crossref","is-referenced-by-count":21,"title":["Constructing an atlas of associations between polygenic scores from across the human phenome and circulating metabolic biomarkers"],"prefix":"10.7554","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4934-1212","authenticated-orcid":true,"given":"Si","family":"Fang","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/0524sp257","id-type":"ROR","asserted-by":"publisher"}],"name":"MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol","place":["Bristol, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6617-0879","authenticated-orcid":true,"given":"Michael V","family":"Holmes","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/0524sp257","id-type":"ROR","asserted-by":"publisher"}],"name":"MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol","place":["Bristol, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0924-3247","authenticated-orcid":true,"given":"Tom R","family":"Gaunt","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/0524sp257","id-type":"ROR","asserted-by":"publisher"}],"name":"MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol","place":["Bristol, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1407-8314","authenticated-orcid":true,"given":"George","family":"Davey Smith","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/0524sp257","id-type":"ROR","asserted-by":"publisher"}],"name":"MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol","place":["Bristol, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7918-2040","authenticated-orcid":true,"given":"Tom G","family":"Richardson","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/0524sp257","id-type":"ROR","asserted-by":"publisher"}],"name":"MRC Integrative Epidemiology Unit (IEU), Population Health Sciences, Bristol Medical School, University of Bristol","place":["Bristol, United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4374","published-online":{"date-parts":[[2022,10,11]]},"reference":[{"key":"bib1","doi-asserted-by":"publisher","first-page":"996","DOI":"10.1093\/ije\/dyab156","article-title":"Apt interpretation of comprehensive lipoprotein data in large-scale epidemiology: disclosure of fundamental structural and metabolic relationships","volume":"51","author":"Ala-Korpela","year":"2022","journal-title":"International Journal of Epidemiology"},{"key":"bib2","doi-asserted-by":"publisher","DOI":"10.1016\/j.lanepe.2022.100457","article-title":"Effects of general and central adiposity on circulating lipoprotein, lipid, and metabolite levels in UK Biobank: a multivariable Mendelian randomization study","volume":"21","author":"Bell","year":"2022","journal-title":"The Lancet Regional Health. 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