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proteins, olink, somascan, platforms, data, supplementary, pubmed, article, cispqtls, protein, google, scholar, associations, fig, analyses, math, ihd, studies, study, identified, levels, correlations, cas, risk, participants, central, reagents, reagent, plasma, platform, ckb, matched, samples, rho, disease, pairs, nature, median, bmi, pqtls, prediction, factors, genetic, observational, measured, based, variant, china, somamers, variants,

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nature portfolio micro-flow lc–ms/ms privacy policy advertising io/regenie/ supplementary data files social media regional offices nature 616 nature 622 nature antibody-based proteomic profiling org/bolt-lmm/bolt-lmm_manual language reprints national key research peer review file extensive pre-fractionation required4 phenome-wide association study cancer research uk identified ancestry-specific cis-pqtls offer additional insights net reclassification index cis-pqtl regions overlapped high-throughput proteomic assays genome-wide association studies data access reporting summary somascan data-related measures bolt-lmm failed due millwood & zhengming chen contributions region-specific intercept terms large-scale population studies genome-wide significant variants inform large-scale population predict multi-omic traits permissions affinity-based proteomic platforms important intellectual content cis-pqtl sentinel variant colocalising cis-pqtls tended examine cross-sectional associations shaded areas indicating cis-pqtl sentinel variants pav cis-pqtl variants medical research large population-based studies ancestry-specific cis-pqtls china kadoorie biobank high-throughput proteomics

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         headline:Comparative studies of 2168 plasma proteins measured by two affinity-based platforms in 4000 Chinese adults
         description:Proteomics offers unique insights into human biology and drug development, but few studies have directly compared the utility of different proteomics platforms. We measured plasma levels of 2168 proteins in 3976 Chinese adults using both Olink Explore and SomaScan platforms. The correlation of protein levels between platforms was modest (median rho = 0.29), with protein abundance and data quality parameters being key factors influencing correlation. For 1694 proteins with one-to-one matched reagents, 765 Olink and 513 SomaScan proteins had cis-pQTLs, including 400 with colocalising cis-pQTLs. Moreover, 1096 Olink and 1429 SomaScan proteins were associated with BMI, while 279 and 154 proteins were associated with risk of ischaemic heart disease, respectively. Addition of Olink and SomaScan proteins to conventional risk factors for ischaemic heart disease improved C-statistics from 0.845 to 0.862 (NRI: 12.2%) and 0.863 (NRI: 16.4%), respectively. These results demonstrate the utility of these platforms and could inform the design and interpretation of future studies. Many recent proteomics studies use either Olink or SomaScan platforms to quantify proteins in high-throughput, but the consistency between the two is unclear. Here, the authors measure proteins in the same samples using both platforms, finding only modest correlation, and compare associations with genetic variants and disease.
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      headline:Comparative studies of 2168 plasma proteins measured by two affinity-based platforms in 4000 Chinese adults
      description:Proteomics offers unique insights into human biology and drug development, but few studies have directly compared the utility of different proteomics platforms. We measured plasma levels of 2168 proteins in 3976 Chinese adults using both Olink Explore and SomaScan platforms. The correlation of protein levels between platforms was modest (median rho = 0.29), with protein abundance and data quality parameters being key factors influencing correlation. For 1694 proteins with one-to-one matched reagents, 765 Olink and 513 SomaScan proteins had cis-pQTLs, including 400 with colocalising cis-pQTLs. Moreover, 1096 Olink and 1429 SomaScan proteins were associated with BMI, while 279 and 154 proteins were associated with risk of ischaemic heart disease, respectively. Addition of Olink and SomaScan proteins to conventional risk factors for ischaemic heart disease improved C-statistics from 0.845 to 0.862 (NRI: 12.2%) and 0.863 (NRI: 16.4%), respectively. These results demonstrate the utility of these platforms and could inform the design and interpretation of future studies. Many recent proteomics studies use either Olink or SomaScan platforms to quantify proteins in high-throughput, but the consistency between the two is unclear. Here, the authors measure proteins in the same samples using both platforms, finding only modest correlation, and compare associations with genetic variants and disease.
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         Genetics research
         Proteomics
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