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Article

Proteomic signatures of smoking and their associations with risk of incident diseases and mortality in diverse populations

2025-10-17

Abstract excerpt

<title>Abstract</title> <p>Smoking is the most important behavioural determinant of morbidity and mortality. Here we used a machine learning model to assess plasma levels of 2,917 proteins in the UK Biobank (n=43,914) and generated a proteomic Smoking INdex (pSIN). pSIN comprised 51 proteins which accurately discriminated current versus never smokers (AUC=0.95; CI:0.94-0.95) and the accuracy of the pSIN was furth...

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Literature Corpus work
b32bb335-d318-5333-8126-ff98c0c911c5
DOI
10.21203/rs.3.rs-4998867/v1
Open publication

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Proteomic signatures of smoking and their associations with risk of incident diseases and mortality in diverse populationsDOI 10.21203/rs.3.rs-4998867/v1
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