{"id":20644,"date":"2026-07-31T10:33:09","date_gmt":"2026-07-31T10:33:09","guid":{"rendered":"https:\/\/woncaeurope2026.org\/sessions\/genetic-variants-associated-with-metabolic-syndrome-in-relation-to-insulin-resistance-risk-estimated-by-mets-ir-and-mets-vf\/"},"modified":"2026-07-31T10:33:09","modified_gmt":"2026-07-31T10:33:09","slug":"genetic-variants-associated-with-metabolic-syndrome-in-relation-to-insulin-resistance-risk-estimated-by-mets-ir-and-mets-vf","status":"publish","type":"wsa_session","link":"https:\/\/woncaeurope2026.org\/fr\/sessions\/genetic-variants-associated-with-metabolic-syndrome-in-relation-to-insulin-resistance-risk-estimated-by-mets-ir-and-mets-vf\/","title":{"rendered":"Genetic Variants Associated with Metabolic Syndrome in Relation to Insulin Resistance Risk Estimated by METS-IR and METS-VF"},"content":{"rendered":"<p>Metabolic syndrome (MetS) is highly prevalent in Asian middle-aged adults and represents a major burden for primary care. Conventional MetS criteria do not fully capture visceral adiposity or insulin resistance, which are key components of its pathophysiology. The Metabolic Score for Visceral Fat (METS-VF) and the Metabolic Score for Insulin Resistance (METS-IR) are non-invasive indices derived from routine clinical data and may help refine metabolic risk stratification.To investigate genome-wide genetic associations with MetS across varying levels of METS-VF and METS-IR in a large Korean community cohort.Data from 70,583 adults aged \u226540 years in the Korean Genome and Epidemiology Study (KoGES) were analyzed. Participants were categorized into tertiles (T1\u2013T3) of METS-VF and METS-IR. MetS was defined using standard clinical criteria. Genome-wide logistic regression analyses were conducted within T1 and T3 of each index, adjusting for major demographic and lifestyle factors. Genome-wide significance was defined as p &lt; 5\u00d710\u207b\u2078.MetS prevalence rose markedly across tertiles (2.6%\u219279.2% for METS-IR; 5.7%\u219272.2% for METS-VF). The strongest and most consistent associations across strata occurred at the APOA5\u2013ZPR1\u2013BUD13 cluster, a key regulator of triglyceride-rich lipoprotein metabolism. Additional lipid-related loci showed context-dependent patterns: LPL variants were protective mainly in METS-VF T3; CETP variants were protective in T1; and an APOC1-proximal variant increased MetS risk only in T3. In contrast, variants near ARHGEF11 (vascular tone) and DGKB (insulin signaling) were associated with MetS primarily in the lowest tertiles of METS-VF and METS-IR.METS-VF offered a more biologically coherent stratification than METS-IR because it reflects visceral adiposity\u2013driven metabolic dysfunction rather than heterogeneous systemic insulin resistance. This enabled lipid-related and context-specific genetic pathways to emerge more clearly. Importantly, METS-VF distinguished metabolic environments in which different genetic mechanisms\u2014triglyceride metabolism, vascular regulation, or early insulin signaling\u2014become dominant contributors to MetS. These findings suggest that visceral fat burden fundamentally shapes the penetrance of genetic risk for MetS.Using METS-VF and METS-IR revealed distinct genetic pathways underlying MetS. METS-based indices, accessible in primary care settings, may strengthen risk stratification and guide more targeted prevention strategies in community populations.<\/p>\n","protected":false},"template":"","class_list":["post-20644","wsa_session","type-wsa_session","status-publish","hentry","description-off"],"_links":{"self":[{"href":"https:\/\/woncaeurope2026.org\/fr\/wp-json\/wp\/v2\/wsa_session\/20644","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/woncaeurope2026.org\/fr\/wp-json\/wp\/v2\/wsa_session"}],"about":[{"href":"https:\/\/woncaeurope2026.org\/fr\/wp-json\/wp\/v2\/types\/wsa_session"}],"wp:attachment":[{"href":"https:\/\/woncaeurope2026.org\/fr\/wp-json\/wp\/v2\/media?parent=20644"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}