<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Dunn WB</submitter><funding>Medical Research Council</funding><funding>Biotechnology and Biological Sciences Research Council</funding><pagination>9-26</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4289517</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11</volume><pubmed_abstract>Phenotyping of 1,200 'healthy' adults from the UK has been performed through the investigation of diverse classes of hydrophilic and lipophilic metabolites present in serum by applying a series of chromatography-mass spectrometry platforms. These data were made robust to instrumental drift by numerical correction; this was prerequisite to allow detection of subtle metabolic differences. The variation in observed metabolite relative concentrations between the 1,200 subjects ranged from less than 5 % to more than 200 %. Variations in metabolites could be related to differences in gender, age, BMI, blood pressure, and smoking. Investigations suggest that a sample size of 600 subjects is both necessary and sufficient for robust analysis of these data. Overall, this is a large scale and non-tar</pubmed_abstract><journal>Metabolomics : Official journal of the Metabolomic Society</journal><pubmed_title>Molecular phenotyping of a UK population: defining the human serum metabolome.</pubmed_title><pmcid>PMC4289517</pmcid><funding_grant_id>MC_QA137293</funding_grant_id><funding_grant_id>BB/C51902X/1</funding_grant_id><funding_grant_id>BB/C519038/1</funding_grant_id><pubmed_authors>McWhirter C</pubmed_authors><pubmed_authors>Lin W</pubmed_authors><pubmed_authors>Knowles JD</pubmed_authors><pubmed_authors>Potter P</pubmed_authors><pubmed_authors>Purandare N</pubmed_authors><pubmed_authors>Tseng A</pubmed_authors><pubmed_authors>Vaughan AA</pubmed_authors><pubmed_authors>Ellis DI</pubmed_authors><pubmed_authors>Zelena E</pubmed_authors><pubmed_authors>Harding N</pubmed_authors><pubmed_authors>Jayson GC</pubmed_authors><pubmed_authors>Kell DB</pubmed_authors><pubmed_authors>Dunn WB</pubmed_authors><pubmed_authors>Thornton P</pubmed_authors><pubmed_authors>Zubair M</pubmed_authors><pubmed_authors>O'Hagan S</pubmed_authors><pubmed_authors>Haselden JN</pubmed_authors><pubmed_authors>Halsall A</pubmed_authors><pubmed_authors>Wu FC</pubmed_authors><pubmed_authors>Potts C</pubmed_authors><pubmed_authors>Broadhurst D</pubmed_authors><pubmed_authors>Francis-McIntyre S</pubmed_authors><pubmed_authors>Chew-Graham S</pubmed_authors><pubmed_authors>Winder CL</pubmed_authors><pubmed_authors>Aarons G</pubmed_authors><pubmed_authors>Wilson ID</pubmed_authors><pubmed_authors>Begley P</pubmed_authors><pubmed_authors>Benjamin B</pubmed_authors><pubmed_authors>Goodacre R</pubmed_authors><pubmed_authors>Moseley C</pubmed_authors><pubmed_authors>Brown M</pubmed_authors><pubmed_authors>Finn JD</pubmed_authors><pubmed_authors>Nicholls AW</pubmed_authors><pubmed_authors>Burns A</pubmed_authors><pubmed_authors>Cruickshank JK</pubmed_authors><pubmed_authors>Pan M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Molecular phenotyping of a UK population: defining the human serum metabolome.</name><description>Phenotyping of 1,200 'healthy' adults from the UK has been performed through the investigation of diverse classes of hydrophilic and lipophilic metabolites present in serum by applying a series of chromatography-mass spectrometry platforms. These data were made robust to instrumental drift by numerical correction; this was prerequisite to allow detection of subtle metabolic differences. The variation in observed metabolite relative concentrations between the 1,200 subjects ranged from less than 5 % to more than 200 %. Variations in metabolites could be related to differences in gender, age, BMI, blood pressure, and smoking. Investigations suggest that a sample size of 600 subjects is both necessary and sufficient for robust analysis of these data. Overall, this is a large scale and non-tar</description><dates><release>2015-01-01T00:00:00Z</release><publication>2015</publication><modification>2026-07-16T10:47:58.743Z</modification><creation>2019-03-27T01:43:12Z</creation></dates><accession>S-EPMC4289517</accession><cross_references><pubmed>25598764</pubmed><doi>10.1007/s11306-014-0707-1</doi></cross_references></HashMap>