<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Kim D</submitter><funding>American Heart Association</funding><funding>Eunice Kennedy Shriver National Institute of Child Health and Human Development</funding><funding>NICHD NIH HHS</funding><funding>Division of Cancer Epidemiology and Genetics</funding><funding>National Institute of Diabetes and Digestive and Kidney Diseases</funding><funding>NIDDK NIH HHS</funding><funding>National Heart, Lung, and Blood Institute</funding><funding>NHLBI NIH HHS</funding><funding>Novo Nordisk Foundation Center for Basic Metabolic Research</funding><funding>NHGRI NIH HHS</funding><funding>NCI NIH HHS</funding><funding>National Human Genome Research Institute</funding><pagination>113</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12502452</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>17(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Obesity is thought to increase cardiovascular disease (CVD) risk partly through dyslipidemia. Yet, obesity's effects on dyslipidemia are not uniform. Understanding the shared genetic basis between obesity and lipid traits can provide insight into this heterogeneity and its implications for CVD risk.&lt;h4>Methods&lt;/h4>We examined local genetic correlations between three lipid measures [high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), and triglycerides (TG)] and body mass index (BMI) using genome-wide association study summary statistics from European ancestry UK Biobank participants. We identified genomic loci with opposing genetic effects on obesity and dyslipidemia risk (protective BMI-lipid loci) and those with concordant directions f</pubmed_abstract><journal>Genome medicine</journal><pubmed_title>Genetic underpinnings of the heterogeneous impact of obesity on lipid levels and cardiovascular disease.</pubmed_title><pmcid>PMC12502452</pmcid><funding_grant_id>R01HD057194</funding_grant_id><funding_grant_id>903805</funding_grant_id><funding_grant_id>R01HL142302</funding_grant_id><funding_grant_id>R01HG010297</funding_grant_id><funding_grant_id>R01 HL142302</funding_grant_id><funding_grant_id>NNF22OC0074128</funding_grant_id><funding_grant_id>R01 DK122503</funding_grant_id><funding_grant_id>R01 HG010297</funding_grant_id><funding_grant_id>R01DK122503</funding_grant_id><funding_grant_id>Intramural Research Program</funding_grant_id><funding_grant_id>R01 HD057194</funding_grant_id><pubmed_authors>Kim D</pubmed_authors><pubmed_authors>Gordon-Larsen P</pubmed_authors><pubmed_authors>Young KL</pubmed_authors><pubmed_authors>Berndt SI</pubmed_authors><pubmed_authors>Rich SS</pubmed_authors><pubmed_authors>Graff M</pubmed_authors><pubmed_authors>Loos RJF</pubmed_authors><pubmed_authors>Highland HM</pubmed_authors><pubmed_authors>Spracklen CN</pubmed_authors><pubmed_authors>Darst BF</pubmed_authors><pubmed_authors>Avery CL</pubmed_authors><pubmed_authors>Lundin J</pubmed_authors><pubmed_authors>Buchanan VL</pubmed_authors><pubmed_authors>Peters U</pubmed_authors><pubmed_authors>Guo B</pubmed_authors><pubmed_authors>Wang Z</pubmed_authors><pubmed_authors>Lange L</pubmed_authors><pubmed_authors>Haiman CA</pubmed_authors><pubmed_authors>Buyske S</pubmed_authors><pubmed_authors>Lange E</pubmed_authors><pubmed_authors>Manson JE</pubmed_authors><pubmed_authors>Zhao C</pubmed_authors><pubmed_authors>Raffield LM</pubmed_authors><pubmed_authors>Smit RAJ</pubmed_authors><pubmed_authors>Gignoux CR</pubmed_authors><pubmed_authors>Kilpelainen TO</pubmed_authors><pubmed_authors>Kooperberg C</pubmed_authors><pubmed_authors>Cai Y</pubmed_authors><pubmed_authors>Fornage M</pubmed_authors><pubmed_authors>Marouli E</pubmed_authors><pubmed_authors>Hysong MR</pubmed_authors><pubmed_authors>North KE</pubmed_authors></additional><is_claimable>false</is_claimable><name>Genetic underpinnings of the heterogeneous impact of obesity on lipid levels and cardiovascular disease.</name><description>&lt;h4>Background&lt;/h4>Obesity is thought to increase cardiovascular disease (CVD) risk partly through dyslipidemia. Yet, obesity's effects on dyslipidemia are not uniform. Understanding the shared genetic basis between obesity and lipid traits can provide insight into this heterogeneity and its implications for CVD risk.&lt;h4>Methods&lt;/h4>We examined local genetic correlations between three lipid measures [high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), and triglycerides (TG)] and body mass index (BMI) using genome-wide association study summary statistics from European ancestry UK Biobank participants. We identified genomic loci with opposing genetic effects on obesity and dyslipidemia risk (protective BMI-lipid loci) and those with concordant directions f</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Oct</publication><modification>2026-06-04T06:17:02.172Z</modification><creation>2026-05-06T03:13:34.149Z</creation></dates><accession>S-EPMC12502452</accession><cross_references><pubmed>41053791</pubmed><doi>10.1186/s13073-025-01522-9</doi></cross_references></HashMap>