Article

An interactive atlas of genomic, proteomic, and metabolomic biomarkers promotes the potential of proteins to predict complex diseases

2024-03-05

Abstract excerpt

Multiomics analyses have identified multiple potential biomarkers of the incidence and prevalence of complex diseases. However, it is not known which type of biomarker is optimal for clinical purposes. Here, we make a systematic comparison of 90 million genetic variants, 1,453 proteins, and 325 metabolites from 500,000 individuals with complex diseases from the UK Biobank. A machine learning pipeline consisting of...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 332853d5-c147-559a-96aa-0fbe7903e45b
DOI: 10.21203/rs.3.rs-3921099/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An interactive atlas of genomic, proteomic, and metabolomic biomarkers promotes the potential of proteins to predict complex diseasesDOI 10.21203/rs.3.rs-3921099/v1Read

An atlas of genetic scores to predict multi-omic traitsSemantic proximity Read

An atlas of genetic scores to predict multi-omic traits.Semantic proximity Read

Multi-omics integration predicts 17 disease incidences in the UK BiobankSemantic proximity Read

Disease prediction with multi-omics and biomarkers empowers case-control genetic discoveries in the UK Biobank.Semantic proximity Read

Integrative machine learning approaches for predicting disease risk using multi-omics data from the UK BiobankSemantic proximity Read

Multi-ancestry proteome-phenome-wide Mendelian randomization offers a comprehensive protein-disease atlas and potential therapeutic targetsSemantic proximity Read

Machine learning-guided deconvolution of plasma protein levelsSemantic proximity Read

AI-based multiomics profiling for personalized prediction of cardiovascular disease: A prospective UK Biobank studySemantic proximity Read

Large-scale evaluation of proteomic and polygenic risk scores reveals complementary contributions to incident disease predictionSemantic proximity Read

Assessing the contribution of rare-to-common protein-coding variants to circulating metabolic biomarker levels via 412,394 UK Biobank exome sequencesSemantic proximity Read

Rare coding and noncoding variants map 1,342 diseases and biomarkers in 490,549 whole genomesSemantic proximity Read

Computational resources associating diseases with genotypes, phenotypes and exposures.Semantic proximity Read