Large-scale integration of the plasma proteome with genetics and disease

By E. Ferkingstad, P. Sulem, Bjarni A Atlason, G. Sveinbjornsson, Magnus I. Magnusson, Edda L. Styrmisdottir, Kristbjorg Gunnarsdottir, Agnar Helgason, A. Oddsson, Bjarni V. Halldórsson and 30 more. Nature Genetics, 2021

1,317 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/43de944f803d0acf0cd888b8e0b183e90d4bb456

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In Genetics

1. T. Wyss‐Coray
2. J. Rutledge
3. H. Oh
4. Benjamin B. Sun

In Molecular Biology

1. T. Wyss‐Coray
2. J. Rutledge
3. H. Oh
4. A. Deaton

Citations in the corpus

• Measuring biological age using omics data (2022, background): “Although the SomaLogic aptamer-based platform is especially powerful and can reliably quantify over 7,000 proteins in a variety of biofluids and cellular extracts 103–106 , it is not yet possible to reliably quantify the entire proteome.”
• Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets (2023, neutral): “We also tested our significant pQTLs for replication in 35,556 Icelanders from the deCODE study 9 , which assayed plasma proteins using the aptamer-based SomaS-can platform (Supplementary Note 2).”
• Plasma proteomic associations with genetics and health in the UK Biobank (2023, methodology): “…contributions from significant independent pQTLs identified by SuSiE (pQTL component) and the remaining SNPs across the genome (excluding the pQTL region), which assumes a polygenic model (polygenic component) using an approach that was described previously 32 (Methods and Supplementary Table 19).”