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Fletta eftir efnisorði "Proteomics/methods"

Fletta eftir efnisorði "Proteomics/methods"

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    Large-scale plasma proteomics comparisons through genetics and disease associations 
    Eldjarn, Grimur Hjorleifsson; Ferkingstad, Egil; Lund, Sigrun H.; Helgason, Hannes; Magnusson, Olafur Th; Gunnarsdottir, Kristbjorg; Olafsdottir, Thorunn A.; Halldorsson, Bjarni V.; Olason, Pall I.; Zink, Florian; Gudjonsson, Sigurjon A.; Sveinbjornsson, Gardar; Magnusson, Magnus I.; Helgason, Agnar; Oddsson, Asmundur; Halldorsson, Gisli H.; Magnusson, Magnus K.; Sævarsdóttir, Sædís; Eiriksdottir, Thjodbjorg; Masson, Gisli; Stefansson, Hreinn; Jonsdottir, Ingileif; Holm, Hilma; Rafnar, Thorunn; Melsted, Pall; Saemundsdottir, Jona; Norddahl, Gudmundur L.; Thorleifsson, Gudmar; Ulfarsson, Magnus O.; Gudbjartsson, Daniel F.; Thorsteinsdottir, Unnur; Sulem, Patrick; Stefansson, Kari (2023-10-04)
    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 ...
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    Predicting the probability of death using proteomics 
    Eiriksdottir, Thjodbjorg; Ardal, Steinthor; Jonsson, Benedikt A.; Lund, Sigrun H.; Ivarsdottir, Erna V.; Norland, Kristjan; Ferkingstad, Egil; Stefansson, Hreinn; Jónsdóttir, Ingileif; Holm, Hilma; Rafnar, Thorunn; Saemundsdottir, Jona; Norddahl, Gudmundur L.; Þorgeirsson, Guðmundur; Gudbjartsson, Daniel F.; Sulem, Patrick; Thorsteinsdottir, Unnur; Stefansson, Kari; Úlfarsson, Magnús Örn (2021-06-18)
    Predicting all-cause mortality risk is challenging and requires extensive medical data. Recently, large-scale proteomics datasets have proven useful for predicting health-related outcomes. Here, we use measurements of levels of 4,684 plasma proteins ...