Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Large-scale plasma proteomics comparisons through genetics and disease associations

Grímur Hjörleifsson Eldjárn, Egil Ferkingstad, Sigrún H. Lund, Hannes Helgason, Ólafur Þ. Magnússon, Kristbjörg Gunnarsdóttir, Thorunn A. Olafsdottir, Bjarni V. Halldórsson, Pall I. Olason, Florian Zink, Sigurjón A. Guðjónsson, Garðar Sveinbjörnsson, Magnus I. Magnusson, Agnar Helgason, Ásmundur Oddsson, Gísli H. Halldórsson, Magnús K. Magnússon, Saedís Saevarsdóttir, Thjodbjorg Eiriksdottir, Gísli Másson, Hreinn Stefánsson, Ingileif Jónsdóttir, Hilma Hólm, Þórunn Rafnar, Páll Melsted, Jona Saemundsdottir, Gudmundur L. Norddahl, Guðmar Þorleifsson, Magnús Ö. Úlfarsson, Daníel F. Guðbjartsson, Unnur Þorsteinsdóttir, Patrick Sulem, Kāri Stefánsson

Nature · 2023

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Summary

High-throughput proteomics platforms measuring thousands of proteins in plasma combined with genomic and phenotypic information have the power to bridge the gap between the genome and diseases. Here we performed association studies of Olink Explore 3072 data generated by the UK Biobank Pharma Proteomics Project<sup>1</sup> on plasma samples from more than 50,000 UK Biobank participants with phenotypic and genotypic data, stratifying on British or Irish, African and South Asian ancestries. We compared the results with those of a SomaScan v4 study on plasma from 36,000 Icelandic people<sup>2</sup>, for 1,514 of whom Olink data were also available. We found modest correlation between the two platforms. Although cis protein quantitative trait loci were detected for a similar absolute number of

Source type
Peer-reviewed study
DOI
10.1038/s41586-023-06563-x
Catalogue ID
SNmohdw6s2-2dds3f
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