{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T09:33:47Z","timestamp":1774690427540,"version":"3.50.1"},"reference-count":17,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T00:00:00Z","timestamp":1734480000000},"content-version":"vor","delay-in-days":26,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Hasselt University BOF","award":["BOF20OWB29"],"award-info":[{"award-number":["BOF20OWB29"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Proteomics stands as the crucial link between genomics and human diseases. Quantitative proteomics provides detailed insights into protein levels, enabling differentiation between distinct phenotypes. OLINK, a biotechnology company from Uppsala, Sweden, offers a targeted, affinity-based protein measurement method called Target 96, which has become prominent in the field of proteomics. The SCALLOP consortium, for instance, contains data from over 70.000 individuals across 45 independent cohort studies, all sampled by OLINK. However, when independent cohorts want to collaborate and quantitatively compare their target 96 protein values, it is currently advised to include 'identical biological bridging' samples in each sampling run to perform a reference sample normalization, correcting technical variations across measurements. Such a \u2018biological bridging sample\u2019 approach requires each of the involved cohorts to resend their biological bridging samples to OLINK to run them all together, which is logistically challenging, costly and time-consuming. Hence alternatives are searched and an evaluation of the current state of the art exposes the need for a more robust method that allows all OLINK Target 96 studies to compare proteomics data accurately and cost-efficiently. To meet these goals we developed the Synthetic Plasma Pool Cohort Correction, the \u2018SPOC correction\u2019 approach, based on the use of an OLINK-composed synthetic plasma sample. The method can easily be implemented in a federated data-sharing context which is illustrated on a sepsis use case.<\/jats:p>","DOI":"10.1093\/bib\/bbae657","type":"journal-article","created":{"date-parts":[[2024,12,18]],"date-time":"2024-12-18T13:47:12Z","timestamp":1734529632000},"source":"Crossref","is-referenced-by-count":3,"title":["Synthetic plasma pool cohort correction for affinity-based proteomics datasets allows multiple study comparison"],"prefix":"10.1093","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7112-9651","authenticated-orcid":false,"given":"Dries","family":"Heylen","sequence":"first","affiliation":[{"name":"Data Science Institute, Theory Lab, Hasselt University , 3590 Diepenbeek ,","place":["Belgium"]},{"name":"Flemish Institute for Technological Research (VITO) , Mol ,","place":["Belgium"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9560-0612","authenticated-orcid":false,"given":"Murih","family":"Pusparum","sequence":"additional","affiliation":[{"name":"Flemish Institute for Technological Research (VITO) , Mol ,","place":["Belgium"]},{"name":"Hasselt University, Data Science Institute , 3590 Diepenbeek ,","place":["Belgium"]}]},{"given":"Jurgis","family":"Kuliesius","sequence":"additional","affiliation":[{"name":"Centre for Global Health Research, University of Edinburgh, Edinburgh BioQuarter , Edinburgh EH16 4UX ,","place":["United Kingdom"]}]},{"given":"Jim","family":"Wilson","sequence":"additional","affiliation":[{"name":"Centre for Global Health Research, University of Edinburgh, Edinburgh BioQuarter , Edinburgh EH16 4UX ,","place":["United Kingdom"]},{"name":"MRC Human Genetics Unit, University of Edinburgh, Western General Hospital , Edinburgh, EH4 2XU ,","place":["United Kingdom"]}]},{"given":"Young-Chan","family":"Park","sequence":"additional","affiliation":[{"name":"Institute of Translational Genomics, Helmholtz Zentrum M\u00fcnchen, German Research Center for Environmental Health , Neuherberg ,","place":["Germany"]}]},{"given":"Jacek","family":"Jamio\u0142kowski","sequence":"additional","affiliation":[{"name":"Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok , 15-089 Bia\u0142ystok ,","place":["Poland"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3828-0442","authenticated-orcid":false,"given":"Valentino","family":"D\u2019Onofrio","sequence":"additional","affiliation":[{"name":"Center for Vaccinology, Ghent University and Ghent University Hospital , 9000 Ghent ,","place":["Belgium"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1877-3496","authenticated-orcid":false,"given":"Dirk","family":"Valkenborg","sequence":"additional","affiliation":[{"name":"Hasselt University, Data Science Institute , 3590 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