<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Cousineau CM</submitter><funding>NIDDK NIH HHS</funding><funding>National Institute of Diabetes and Digestive and Kidney Diseases</funding><funding>NIAMS NIH HHS</funding><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><pagination>426-433</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10909986</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(3)</volume><pubmed_abstract>Genetically diverse outbred mice allow for the study of genetic variation in the context of high dietary and environmental control. Using a machine learning approach, we investigated clinical and morphometric factors that associate with serum cholesterol levels in 840 genetically unique Diversity Outbred mice of both sexes (n = 417 male and 423 female), and on both a control chow (% kcals in diet: protein 22%, carbohydrate 62%, fat 16%, no cholesterol) and high fat high sucrose (% kcals in diet: protein 15%, carbohydrate 41%, fat 45%, 0.05% cholesterol). We find expected elevations of cholesterol in male mice, as well as in mice with elevated serum triglycerides and/or fed a high fat high sucrose diet. The third strongest predictor was serum calcium which correlated with serum cholesterol across both diets and sexes (r = 0.39-0.48) in both Diversity Outbred (P = 3.0 × 10&lt;sup>-43&lt;/sup> ) and BXD (P = 0.005) mice. This is in-line with several human cohort studies which show associations between calcium and cholesterol, and calcium as an independent predictor of cardiovascular events.</pubmed_abstract><journal>FEBS open bio</journal><pubmed_title>Cross-sectional association between blood cholesterol and calcium levels in genetically diverse strains of mice.</pubmed_title><pmcid>PMC10909986</pmcid><funding_grant_id>R01 DK107535</funding_grant_id><funding_grant_id>P30 DK089503</funding_grant_id><funding_grant_id>R01 GM070683</funding_grant_id><funding_grant_id>P30 DK020572</funding_grant_id><funding_grant_id>R01DK107535</funding_grant_id><funding_grant_id>R01GM070683</funding_grant_id><funding_grant_id>P30 AR069620</funding_grant_id><pubmed_authors>Cousineau CM</pubmed_authors><pubmed_authors>Churchill GA</pubmed_authors><pubmed_authors>Bridges D</pubmed_authors><pubmed_authors>Loftus K</pubmed_authors></additional><is_claimable>false</is_claimable><name>Cross-sectional association between blood cholesterol and calcium levels in genetically diverse strains of mice.</name><description>Genetically diverse outbred mice allow for the study of genetic variation in the context of high dietary and environmental control. Using a machine learning approach, we investigated clinical and morphometric factors that associate with serum cholesterol levels in 840 genetically unique Diversity Outbred mice of both sexes (n = 417 male and 423 female), and on both a control chow (% kcals in diet: protein 22%, carbohydrate 62%, fat 16%, no cholesterol) and high fat high sucrose (% kcals in diet: protein 15%, carbohydrate 41%, fat 45%, 0.05% cholesterol). We find expected elevations of cholesterol in male mice, as well as in mice with elevated serum triglycerides and/or fed a high fat high sucrose diet. The third strongest predictor was serum calcium which correlated with serum cholesterol across both diets and sexes (r = 0.39-0.48) in both Diversity Outbred (P = 3.0 × 10&lt;sup>-43&lt;/sup> ) and BXD (P = 0.005) mice. This is in-line with several human cohort studies which show associations between calcium and cholesterol, and calcium as an independent predictor of cardiovascular events.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2026-06-16T04:51:00.944Z</modification><creation>2025-04-05T11:38:38.475Z</creation></dates><accession>S-EPMC10909986</accession><cross_references><pubmed>38129969</pubmed><doi>10.1002/2211-5463.13757</doi></cross_references></HashMap>