Ryan S. Dhindsa

Sep 11, 2024 | nature.com | Manik Garg |Lawrence Middleton |Eleanor Wheeler |Katherine Smith |Euan A. Ashley |Andrew Harper | +2 more

AbstractThe emergence of biobank-level datasets offers new opportunities to discover novel biomarkers and develop predictive algorithms for human disease. Here, we present an ensemble machine-learning framework (machine learning with phenotype associations, MILTON) utilizing a range of biomarkers to predict 3,213 diseases in the UK Biobank.

Aug 27, 2024 | nature.com | Ryan S. Dhindsa |Katherine Smith |Henric Olsson |Adam Platt |Dimitrios M. Vitsios

AbstractTelomeres protect chromosome ends from damage and their length is linked with human disease and aging. We developed a joint telomere length metric, combining quantitative PCR and whole-genome sequencing measurements from 462,666 UK Biobank participants. This metric increased SNP heritability, suggesting that it better captures genetic regulation of telomere length.

Oct 4, 2023 | nature.com | Ryan S. Dhindsa |Benjamin B. Sun |Eleanor Wheeler |Erin Oerton |Andrew Harper |Dirk S. Paul | +4 more

AbstractIntegrating human genomics and proteomics can help elucidate disease mechanisms, identify clinical biomarkers and discover drug targets1,2,3,4. Because previous proteogenomic studies have focused on common variation via genome-wide association studies, the contribution of rare variants to the plasma proteome remains largely unknown. Here we identify associations between rare protein-coding variants and 2,923 plasma protein abundances measured in 49,736 UK Biobank individuals.

Apr 23, 2023 | biorxiv.org | Caleb A Lareau |Yajie Yin |Jacob Gutierrez |Ryan S. Dhindsa

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