<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Oliveri A</submitter><funding>NIDDK NIH HHS</funding><funding>NCI NIH HHS</funding><funding>NIH and Department of Internal Medicine University of Michigan</funding><funding>NIH</funding><pagination>212-221</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10923176</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>56(2)</volume><pubmed_abstract>Insulin resistance (IR) is a well-established risk factor for metabolic disease. The ratio of triglycerides to high-density lipoprotein cholesterol (TG:HDL-C) is a surrogate marker of IR. We conducted a genome-wide association study of the TG:HDL-C ratio in 402,398 Europeans within the UK Biobank. We identified 369 independent SNPs, of which 114 had a false discovery rate-adjusted P value &lt; 0.05 in other genome-wide studies of IR making them high-confidence IR-associated loci. Seventy-two of these 114 loci have not been previously associated with IR. These 114 loci cluster into five groups upon phenome-wide analysis and are enriched for candidate genes important in insulin signaling, adipocyte physiology and protein metabolism. We created a polygenic-risk score from the high-confidence IR-associated loci using 51,550 European individuals in the Michigan Genomics Initiative. We identified associations with diabetes, hyperglyceridemia, hypertension, nonalcoholic fatty liver disease and ischemic heart disease. Collectively, this study provides insight into the genes, pathways, tissues and subtypes critical in IR.</pubmed_abstract><journal>Nature genetics</journal><pubmed_title>Comprehensive genetic study of the insulin resistance marker TG:HDL-C in the UK Biobank.</pubmed_title><pmcid>PMC10923176</pmcid><funding_grant_id>R01 DK131787</funding_grant_id><funding_grant_id>R01 DK106621</funding_grant_id><funding_grant_id>F30 CA257292</funding_grant_id><funding_grant_id>F30 CA275039</funding_grant_id><funding_grant_id>R01 DK107904</funding_grant_id><funding_grant_id>R01 DK128871</funding_grant_id><pubmed_authors>Kuppa A</pubmed_authors><pubmed_authors>Prabhu P</pubmed_authors><pubmed_authors>Halligan BD</pubmed_authors><pubmed_authors>Cushing KC</pubmed_authors><pubmed_authors>Du X</pubmed_authors><pubmed_authors>Raut C</pubmed_authors><pubmed_authors>Speliotes EK</pubmed_authors><pubmed_authors>Chen VL</pubmed_authors><pubmed_authors>Pant A</pubmed_authors><pubmed_authors>Oliveri A</pubmed_authors><pubmed_authors>Rebernick RJ</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Bell HN</pubmed_authors></additional><is_claimable>false</is_claimable><name>Comprehensive genetic study of the insulin resistance marker TG:HDL-C in the UK Biobank.</name><description>Insulin resistance (IR) is a well-established risk factor for metabolic disease. The ratio of triglycerides to high-density lipoprotein cholesterol (TG:HDL-C) is a surrogate marker of IR. We conducted a genome-wide association study of the TG:HDL-C ratio in 402,398 Europeans within the UK Biobank. We identified 369 independent SNPs, of which 114 had a false discovery rate-adjusted P value &lt; 0.05 in other genome-wide studies of IR making them high-confidence IR-associated loci. Seventy-two of these 114 loci have not been previously associated with IR. These 114 loci cluster into five groups upon phenome-wide analysis and are enriched for candidate genes important in insulin signaling, adipocyte physiology and protein metabolism. We created a polygenic-risk score from the high-confidence IR-associated loci using 51,550 European individuals in the Michigan Genomics Initiative. We identified associations with diabetes, hyperglyceridemia, hypertension, nonalcoholic fatty liver disease and ischemic heart disease. Collectively, this study provides insight into the genes, pathways, tissues and subtypes critical in IR.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Feb</publication><modification>2024-12-04T09:27:15.332Z</modification><creation>2024-12-04T09:27:15.332Z</creation></dates><accession>S-EPMC10923176</accession><cross_references><pubmed>38200128</pubmed><doi>10.1038/s41588-023-01625-2</doi></cross_references></HashMap>