<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>8(1)</volume><submitter>Saw WY</submitter><pubmed_abstract>The Singapore Integrative Omics Study provides valuable insights on establishing population reference measurement in 364 Chinese, Malay, and Indian individuals. These measurements include > 2.5 millions genetic variants, 21,649 transcripts expression, 282 lipid species quantification, and 284 clinical, lifestyle, and dietary variables. This concept paper introduces the depth of the data resource, and investigates the extent of ethnic variation at these omics and non-omics biomarkers. It is evident that there are specific biomarkers in each of these platforms to differentiate between the ethnicities, and intra-population analyses suggest that Chinese and Indians are the most biologically homogeneous and heterogeneous, respectively, of the three groups. Consistent patterns of correlations be</pubmed_abstract><journal>Nature communications</journal><pagination>653</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5608948</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Establishing multiple omics baselines for three Southeast Asian populations in the Singapore Integrative Omics Study.</pubmed_title><pmcid>PMC5608948</pmcid><pubmed_authors>Mundra PA</pubmed_authors><pubmed_authors>Soong R</pubmed_authors><pubmed_authors>Tantoso E</pubmed_authors><pubmed_authors>Chan SL</pubmed_authors><pubmed_authors>Pillai NE</pubmed_authors><pubmed_authors>Lim Y</pubmed_authors><pubmed_authors>Little P</pubmed_authors><pubmed_authors>Too HP</pubmed_authors><pubmed_authors>Moong DKN</pubmed_authors><pubmed_authors>Ong RT</pubmed_authors><pubmed_authors>Zou R</pubmed_authors><pubmed_authors>Li B</pubmed_authors><pubmed_authors>Brunham LR</pubmed_authors><pubmed_authors>Khor CC</pubmed_authors><pubmed_authors>Teo YY</pubmed_authors><pubmed_authors>Zhou L</pubmed_authors><pubmed_authors>He C</pubmed_authors><pubmed_authors>Chia KS</pubmed_authors><pubmed_authors>Tan LW</pubmed_authors><pubmed_authors>Wenk MR</pubmed_authors><pubmed_authors>Begum H</pubmed_authors><pubmed_authors>Saw WY</pubmed_authors><pubmed_authors>Wong LP</pubmed_authors><pubmed_authors>Meikle PJ</pubmed_authors><pubmed_authors>Luo M</pubmed_authors><pubmed_authors>Lim WY</pubmed_authors><pubmed_authors>Peterson TA</pubmed_authors><pubmed_authors>Bielawny T</pubmed_authors><pubmed_authors>Xu W</pubmed_authors></additional><is_claimable>false</is_claimable><name>Establishing multiple omics baselines for three Southeast Asian populations in the Singapore Integrative Omics Study.</name><description>The Singapore Integrative Omics Study provides valuable insights on establishing population reference measurement in 364 Chinese, Malay, and Indian individuals. These measurements include > 2.5 millions genetic variants, 21,649 transcripts expression, 282 lipid species quantification, and 284 clinical, lifestyle, and dietary variables. This concept paper introduces the depth of the data resource, and investigates the extent of ethnic variation at these omics and non-omics biomarkers. It is evident that there are specific biomarkers in each of these platforms to differentiate between the ethnicities, and intra-population analyses suggest that Chinese and Indians are the most biologically homogeneous and heterogeneous, respectively, of the three groups. Consistent patterns of correlations be</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Sep</publication><modification>2026-05-03T20:55:12.665Z</modification><creation>2019-03-27T02:57:05Z</creation></dates><accession>S-EPMC5608948</accession><cross_references><pubmed>28935855</pubmed><doi>10.1038/s41467-017-00413-x</doi></cross_references></HashMap>