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<p>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 <i>cis</i>-pQTLs, including 400 with colocalising <i>cis</i>-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.</p>

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Comparative studies of 2168 plasma proteins measured by two affinity-based platforms in 4000 Chinese adults

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年2月21日

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  • Baihan Wang,
  • Alfred Pozarickij,
  • Mohsen Mazidi,
  • Neil Wright,
  • Pang Yao,
  • Saredo Said,
  • Andri Iona,
  • Christiana Kartsonaki,
  • Hannah Fry,
  • Kuang Lin,
  • Yiping Chen,
  • Huaidong Du,
  • Daniel Avery,
  • Dan Schmidt-Valle,
  • Canqing Yu,
  • Dianjianyi Sun,
  • Jun Lv,
  • Michael Hill,
  • Liming Li,
  • Derrick A. Bennett,
  • Rory Collins,
  • Robin G. Walters,
  • Robert Clarke,
  • Iona Y. Millwood,
  • Zhengming Chen

摘要

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.