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In a subset of 18,000 individuals with metabolomic biomarkers measured at two time points we show that people whose scores change have dramatically different future risk of disease, suggesting that repeat measurements capture the benefits of lifestyle change. We show cross-biobank calibration of our scores. Since metabolomics can be measured from a standard blood sample, we propose such tests can be feasibly implemented today in preventative health programs.</jats:p>\n                <jats:sec>\n                  <jats:title>One-Sentence Summary</jats:title>\n                  <jats:p>Biomarkers from half a million blood samples identifies people at increased risk of chronic diseases and can be used for early detection today.</jats:p>\n                </jats:sec>","journal":null,"year":null,"id":637496,"datarank":0.4636563680037475,"base_score":3.091042453358316,"endowment":3.091042453358316,"self_citation_contribution":0.4636563680037475,"citation_network_contribution":0.0,"self_endowment_contribution":0.4636563680037475,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":21,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":18886,"name":"Jeffrey C. 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Here we present nuclear magnetic resonance blood metabolomics from half a million samples from three national biobanks. We built metabolomic risk scores that identify a high-risk group for each of 12 diseases that cause the most morbidity in high-income countries and show consistent cross-biobank replication of the relative risk of disease for these groups. We show that these metabolomic risk scores are more strongly associated with future disease onset than polygenic scores for most of these diseases. In a subset of 18,000 individuals with metabolomic biomarkers measured at two time points we show that people whose scores change have dramatically different future risk of disease, suggesting that repeat measurements capture the benefits of lifestyle change. We show cross-biobank calibration of our scores. Since metabolomics can be measured from a standard blood sample, we propose such tests can be feasibly implemented today in preventative health programs.</jats:p>\n                <jats:sec>\n                  <jats:title>One-Sentence Summary</jats:title>\n                  <jats:p>Biomarkers from half a million blood samples identifies people at increased risk of chronic diseases and can be used for early detection today.</jats:p>\n                </jats:sec>","is_dataset_classified":null,"base_score":3.091042453358316,"endowment":3.091042453358316,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19767382","pmcid":null,"openalex_id":"https://openalex.org/W4380302835","authors":[],"funders":[],"total_grants":0,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[{"year":2023,"count":2},{"year":2024,"count":12},{"year":2025,"count":7}],"oa_status":"green","license":"cc-by","oa_locations":[{"url":"https://www.medrxiv.org/content/medrxiv/early/2023/06/12/2023.06.09.23291213.full.pdf","host_type":"repository"},{"url":"https://www.medrxiv.org/content/medrxiv/early/2023/06/12/2023.06.09.23291213.full.pdf","host_type":"repository"},{"url":"https://syndication.highwire.org/content/doi/10.1101/2023.06.09.23291213","host_type":"publisher"},{"url":"https://doi.org/10.1101/2023.06.09.23291213","host_type":"repository"}],"fields_of_study":["Metabolomics and Mass Spectrometry Studies","Machine Learning in Healthcare","Genetic Associations and Epidemiology"],"mesh_terms":[],"keywords":["Biobank","Metabolomics","Disease","Medicine","Environmental health","Bioinformatics","Internal medicine","Biology"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"No poverty"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-06T19:02:46.175796Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}